Subjects -> BUSINESS AND ECONOMICS (Total: 3614 journals)
    - ACCOUNTING (132 journals)
    - BANKING AND FINANCE (306 journals)
    - BUSINESS AND ECONOMICS (1276 journals)
    - CONSUMER EDUCATION AND PROTECTION (20 journals)
    - COOPERATIVES (4 journals)
    - ECONOMIC SCIENCES: GENERAL (212 journals)
    - ECONOMIC SYSTEMS, THEORIES AND HISTORY (235 journals)
    - FASHION AND CONSUMER TRENDS (20 journals)
    - HUMAN RESOURCES (103 journals)
    - INSURANCE (26 journals)
    - INTERNATIONAL COMMERCE (145 journals)
    - INTERNATIONAL DEVELOPMENT AND AID (103 journals)
    - INVESTMENTS (22 journals)
    - LABOR AND INDUSTRIAL RELATIONS (61 journals)
    - MACROECONOMICS (17 journals)
    - MANAGEMENT (611 journals)
    - MARKETING AND PURCHASING (116 journals)
    - MICROECONOMICS (23 journals)
    - PRODUCTION OF GOODS AND SERVICES (143 journals)
    - PUBLIC FINANCE, TAXATION (37 journals)
    - TRADE AND INDUSTRIAL DIRECTORIES (2 journals)

BUSINESS AND ECONOMICS (1276 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 1566 Journals sorted alphabetically
360 : Revista de Ciencias de la Gestión     Open Access   (Followers: 1)
4OR: A Quarterly Journal of Operations Research     Hybrid Journal   (Followers: 12)
Abacus     Hybrid Journal   (Followers: 16)
Accounting Forum     Hybrid Journal   (Followers: 22)
Acta Amazonica     Open Access   (Followers: 3)
Acta Commercii     Open Access   (Followers: 3)
Acta Marisiensis : Seria Oeconomica     Open Access  
Acta Oeconomica     Full-text available via subscription   (Followers: 3)
Acta Scientiarum. Human and Social Sciences     Open Access   (Followers: 6)
Acta Universitatis Danubius. Œconomica     Open Access   (Followers: 1)
Acta Universitatis Lodziensis : Folia Geographica Socio-Oeconomica     Open Access   (Followers: 1)
Acta Universitatis Nicolai Copernici Zarządzanie     Open Access   (Followers: 4)
AD-minister     Open Access   (Followers: 3)
Adam Academy : Journal of Social Sciences / Adam Akademi : Sosyal Bilimler Dergisi     Open Access   (Followers: 3)
AdBispreneur : Jurnal Pemikiran dan Penelitian Administrasi Bisnis dan Kewirausahaan     Open Access   (Followers: 1)
Admisi dan Bisnis     Open Access   (Followers: 1)
Advanced Sustainable Systems     Hybrid Journal   (Followers: 5)
Advances in Economics and Business     Open Access   (Followers: 21)
Africa Journal of Management     Hybrid Journal   (Followers: 2)
AfricaGrowth Agenda     Full-text available via subscription   (Followers: 3)
African Affairs     Hybrid Journal   (Followers: 67)
African Business     Full-text available via subscription   (Followers: 4)
African Development Review     Hybrid Journal   (Followers: 45)
African Journal of Business and Economic Research     Full-text available via subscription   (Followers: 6)
African Journal of Business Ethics     Open Access   (Followers: 6)
African Review of Economics and Finance     Open Access   (Followers: 8)
Afro Eurasian Studies     Open Access   (Followers: 1)
Afro-Asian Journal of Finance and Accounting     Hybrid Journal   (Followers: 5)
Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi     Open Access   (Followers: 3)
Agronomy     Open Access   (Followers: 12)
Akademik Yaklaşımlar Dergisi     Open Access   (Followers: 1)
AL-Qadisiyah Journal For Administrative and Economic sciences     Open Access   (Followers: 1)
Alphanumeric Journal : The Journal of Operations Research, Statistics, Econometrics and Management Information Systems     Open Access   (Followers: 10)
American Economic Journal : Applied Economics     Full-text available via subscription   (Followers: 213)
American Enterprise Institute     Free   (Followers: 3)
American Journal of Business     Hybrid Journal   (Followers: 20)
American Journal of Business and Management     Open Access   (Followers: 52)
American Journal of Business Education     Open Access   (Followers: 14)
American Journal of Economics and Business Administration     Open Access   (Followers: 33)
American Journal of Economics and Sociology     Hybrid Journal   (Followers: 35)
American Journal of Finance and Accounting     Hybrid Journal   (Followers: 22)
American Journal of Health Economics     Full-text available via subscription   (Followers: 18)
American Journal of Industrial and Business Management     Open Access   (Followers: 23)
American Law and Economics Review     Hybrid Journal   (Followers: 32)
ANALES de la Universidad Central del Ecuador     Open Access   (Followers: 1)
Ankara University SBF Journal     Open Access   (Followers: 1)
Annales de l'Institut Henri Poincare (C) Non Linear Analysis     Full-text available via subscription   (Followers: 2)
Annals in Social Responsibility     Full-text available via subscription  
Annals of Finance     Hybrid Journal   (Followers: 33)
Annals of Operations Research     Hybrid Journal   (Followers: 12)
Annual Review of Economics     Full-text available via subscription   (Followers: 42)
Anuario Facultad de Ciencias Económicas y Empresariales     Open Access   (Followers: 1)
Applied Developmental Science     Hybrid Journal   (Followers: 4)
Applied Economics     Hybrid Journal   (Followers: 58)
Applied Economics Letters     Hybrid Journal   (Followers: 31)
Applied Economics Quarterly     Full-text available via subscription   (Followers: 12)
Applied Financial Economics     Hybrid Journal   (Followers: 26)
Applied Mathematical Finance     Hybrid Journal   (Followers: 6)
Applied Stochastic Models in Business and Industry     Hybrid Journal   (Followers: 4)
Apuntes Universitarios     Open Access   (Followers: 1)
Arab Economic and Business Journal     Open Access   (Followers: 4)
Archives of Business Research     Open Access   (Followers: 6)
Arena Journal     Full-text available via subscription  
Argomenti. Rivista di economia, cultura e ricerca sociale     Open Access   (Followers: 4)
ASEAN Economic Bulletin     Full-text available via subscription   (Followers: 6)
Asia Pacific Business Review     Hybrid Journal   (Followers: 9)
Asia Pacific Journal of Human Resources     Hybrid Journal   (Followers: 221)
Asia Pacific Journal of Innovation and Entrepreneurship     Open Access   (Followers: 3)
Asia Pacific Viewpoint     Hybrid Journal   (Followers: 4)
Asia-Pacific Journal of Business Administration     Hybrid Journal   (Followers: 5)
Asia-Pacific Journal of Operational Research     Hybrid Journal   (Followers: 3)
Asia-Pacific Management and Business Application     Open Access   (Followers: 1)
Asian Business Review     Open Access   (Followers: 5)
Asian Case Research Journal     Hybrid Journal   (Followers: 1)
Asian Development Review     Open Access   (Followers: 12)
Asian Economic Journal     Hybrid Journal   (Followers: 9)
Asian Economic Papers     Hybrid Journal   (Followers: 8)
Asian Economic Policy Review     Hybrid Journal   (Followers: 5)
Asian Journal of Business Ethics     Hybrid Journal   (Followers: 9)
Asian Journal of Economics, Business and Accounting     Open Access  
Asian Journal of Social Sciences and Management Studies     Open Access   (Followers: 6)
Asian Journal of Sustainability and Social Responsibility     Open Access   (Followers: 2)
Asian Journal of Technology Innovation     Hybrid Journal   (Followers: 5)
Asian-pacific Economic Literature     Hybrid Journal   (Followers: 7)
AStA Wirtschafts- und Sozialstatistisches Archiv     Hybrid Journal   (Followers: 3)
Atlantic Economic Journal     Hybrid Journal   (Followers: 11)
Australasian Journal of Regional Studies, The     Full-text available via subscription   (Followers: 1)
Australian Cottongrower, The     Full-text available via subscription  
Australian Economic Papers     Hybrid Journal   (Followers: 9)
Australian Economic Review     Hybrid Journal   (Followers: 4)
Australian Journal of Maritime and Ocean Affairs     Hybrid Journal   (Followers: 7)
Balkan Region Conference on Engineering and Business Education     Open Access   (Followers: 2)
Baltic Journal of Real Estate Economics and Construction Management     Open Access   (Followers: 5)
Banks in Insurance Report     Hybrid Journal   (Followers: 1)
BBR - Brazilian Business Review     Open Access   (Followers: 4)
Benchmarking : An International Journal     Hybrid Journal   (Followers: 6)
Benefit : Jurnal Manajemen dan Bisnis     Open Access  
Berkeley Business Law Journal     Free   (Followers: 11)
Beta : Scandinavian Journal of Business Research     Full-text available via subscription  
Bio-based and Applied Economics     Open Access   (Followers: 1)
Biodegradation     Hybrid Journal   (Followers: 2)
Biology Direct     Open Access   (Followers: 9)
BizInfo (Blace) Journal of Economics, Management and Informatics     Open Access   (Followers: 1)
Black Enterprise     Full-text available via subscription  
Board & Administrator for Administrators only     Hybrid Journal  
Boletim Técnico do Senac     Open Access  
Border Crossing : Transnational Working Papers     Open Access   (Followers: 2)
Brazilian Business Review     Open Access  
Briefings in Real Estate Finance     Hybrid Journal   (Followers: 6)
British Journal of Industrial Relations     Hybrid Journal   (Followers: 45)
Brookings Papers on Economic Activity     Open Access   (Followers: 67)
Brookings Trade Forum     Full-text available via subscription   (Followers: 4)
BU Academic Review     Open Access  
Bulletin of Economic Research     Hybrid Journal   (Followers: 19)
Bulletin of Geography. Socio-economic Series     Open Access   (Followers: 4)
Bulletin of Indonesian Economic Studies     Hybrid Journal   (Followers: 4)
Bulletin of the Dnipropetrovsk University. Series : Management of Innovations     Open Access   (Followers: 1)
Business & Entrepreneurship Journal     Open Access   (Followers: 24)
Business & Information Systems Engineering     Hybrid Journal   (Followers: 5)
Business : Theory and Practice / Verslas : Teorija ir Praktika     Open Access   (Followers: 1)
Business and Economic Research     Open Access   (Followers: 8)
Business and Management Horizons     Open Access   (Followers: 9)
Business and Management Research     Open Access   (Followers: 17)
Business and Management Studies     Open Access   (Followers: 11)
Business and Society Review     Hybrid Journal   (Followers: 5)
Business Economics     Hybrid Journal   (Followers: 13)
Business Ethics Quarterly     Full-text available via subscription   (Followers: 17)
Business Ethics: A European Review     Hybrid Journal   (Followers: 20)
Business Horizons     Hybrid Journal   (Followers: 11)
Business Management Analysis Journal     Open Access   (Followers: 3)
Business Management and Strategy     Open Access   (Followers: 38)
Business Research     Open Access   (Followers: 2)
Business Review Journal     Open Access   (Followers: 1)
Business Strategy and Development     Hybrid Journal  
Business Strategy and the Environment     Hybrid Journal   (Followers: 11)
Business Strategy Review     Hybrid Journal   (Followers: 12)
Business Strategy Series     Hybrid Journal   (Followers: 6)
Business Systems & Economics     Open Access   (Followers: 2)
Business, Economics and Management Research Journal : BEMAREJ     Open Access   (Followers: 4)
Business, Management and Education     Open Access   (Followers: 17)
Business: Theory and Practice     Open Access   (Followers: 1)
Cambridge Journal of Economics     Hybrid Journal   (Followers: 75)
Cambridge Journal of Regions, Economy and Society     Hybrid Journal   (Followers: 11)
Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration     Hybrid Journal   (Followers: 1)
Canadian Journal of Economics/Revue Canadienne d`Economique     Hybrid Journal   (Followers: 42)
Canadian journal of nonprofit and social economy research     Open Access   (Followers: 3)
Capitalism Nature Socialism     Hybrid Journal   (Followers: 20)
Case Studies in Business and Management     Open Access   (Followers: 11)
Central European Business Review     Open Access   (Followers: 2)
Central European Journal of Operations Research     Hybrid Journal   (Followers: 5)
Central European Journal of Public Policy     Open Access   (Followers: 3)
CESifo Economic Studies     Hybrid Journal   (Followers: 22)
Chain Reaction     Full-text available via subscription  
Challenge     Full-text available via subscription   (Followers: 6)
Chandrakasem Rajabhat University Journal of Graduate School     Open Access  
China & World Economy     Hybrid Journal   (Followers: 13)
China : An International Journal     Full-text available via subscription   (Followers: 19)
China Economic Journal : The Official Journal of the China Center for Economic Research (CCER) at Peking University     Hybrid Journal   (Followers: 13)
China Economic Review     Hybrid Journal   (Followers: 14)
China Finance Review International     Hybrid Journal   (Followers: 4)
China perspectives     Open Access   (Followers: 12)
Chinese Economy     Full-text available via subscription   (Followers: 3)
Chinese Journal of Population, Resources and Environment     Open Access  
Chinese Journal of Social Science and Management     Open Access  
Christian University of Thailand Journal     Open Access  
Chulalongkorn Business Review     Open Access  
Ciencia, Economía y Negocios     Open Access  
Circular Economy and Sustainability     Hybrid Journal  
Cleaner and Responsible Consumption     Open Access   (Followers: 5)
Cleaner Logistics and Supply Chain     Open Access   (Followers: 6)
Climate and Energy     Full-text available via subscription   (Followers: 5)
CLIO América     Open Access   (Followers: 2)
Cliometrica     Hybrid Journal   (Followers: 4)
Colombo Business Journal     Open Access  
Community Development Journal     Hybrid Journal   (Followers: 24)
Compendium : Cuadernos de Economía y Administración     Open Access  
Competitive Intelligence Review     Hybrid Journal   (Followers: 4)
Competitiveness Review : An International Business Journal incorporating Journal of Global Competitiveness     Hybrid Journal  
Computational Economics     Hybrid Journal   (Followers: 11)
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computer Law & Security Review     Hybrid Journal   (Followers: 22)
Computers & Operations Research     Hybrid Journal   (Followers: 13)
Consilience : The Journal of Sustainable Development     Open Access   (Followers: 2)
Construction Innovation: Information, Process, Management     Hybrid Journal   (Followers: 14)
Consumer Behavior Studies Journal     Open Access   (Followers: 1)
Consumer Psychology Review     Hybrid Journal   (Followers: 2)
Contemporary Wales     Full-text available via subscription   (Followers: 1)
Contextus - Revista Contemporânea de Economia e Gestão     Open Access   (Followers: 1)
Continuity & Resilience Review     Hybrid Journal   (Followers: 1)
Contributions to Political Economy     Hybrid Journal   (Followers: 9)
Corporate Communications An International Journal     Hybrid Journal   (Followers: 5)
Corporate Philanthropy Report     Hybrid Journal   (Followers: 2)
Corporate Reputation Review     Hybrid Journal   (Followers: 4)
Creative and Knowledge Society     Open Access   (Followers: 9)
Creative Industries Journal     Hybrid Journal   (Followers: 8)
Cuadernos de Administración (Universidad del Valle)     Open Access   (Followers: 1)
Cuadernos de Economía     Open Access   (Followers: 1)
Cuadernos de Economia - Latin American Journal of Economics     Open Access   (Followers: 2)
Cuadernos de Estudios Empresariales     Open Access   (Followers: 1)
Cuadernos Latinoamericanos de Administración     Open Access  

        1 2 3 4 5 6 7 | Last

Similar Journals
Journal Cover
Benchmarking : An International Journal
Journal Prestige (SJR): 0.559
Citation Impact (citeScore): 2
Number of Followers: 6  
 
Hybrid Journal Hybrid journal   * Containing 2 Open Access Open Access article(s) in this issue *
ISSN (Print) 1463-5771 - ISSN (Online) 1758-4094
Published by Emerald Homepage  [362 journals]
  • Mediating role of manufacturing strategy in the competitive strategy and
           firm performance: evidence from SMEs

    • Free pre-print version: Loading...

      Authors: Manjeet Kharub , Rahul S. Mor , Sudhir Rana
      Abstract: This paper examines the mediating role of manufacturing strategies in the relationship between competitive strategies and firm performance. This study gathered 250 responses from firms in a developing country's key manufacturing sectors, including mechanical, electronics, automotive, textile and food. First, descriptive statistics were applied to fix outliers like respondent biases, missing values and normality issues. Second, exploratory factors analysis (EFA) ensured data adequacy and homogeneity through Kaiser–Meyer–Olkin (KMO) and Bartlett tests. Finally, confirmatory factors analysis (CFA) was used to identify the interactions (direct, indirect and total effects) between latent variables representing manufacturing strategies (quality, cost, delivery and flexibility), competitive strategies (cost-leadership and differentiation) and firms' performance (sales growth and profitability). In total, two structural equation modelling (SEM) models (SEM-I, SEM-II) were created to test the hypotheses. Of the 40 items identified by the literature review, four were outliers, and three could not satisfy the EFA criteria (eigenvalue>1). Only 33 items could therefore reach CFA. SEM–I and SEM-II study results found no direct relationship between competitive strategies and firm performance (−0.03 = β = 0.08; p > 0.05). However, the findings revealed that cost-leadership could be an appropriate strategic choice and improved firms' performance if the quality and delivery are focussed (0.20 = β = 0.87; p 
      Citation: Benchmarking: An International Journal
      PubDate: 2022-01-25
      DOI: 10.1108/BIJ-05-2021-0257
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Does financial anxiety affect job insecurity' Exploring the
           relationship and moderation by gender, tenure and income in the Indian
           context during COVID-19

    • Free pre-print version: Loading...

      Authors: Priyanka Bhowmik , Mousumi Padhi , Subhra Pattnaik
      Abstract: Extant literature indicates the influence of anxiety on job insecurity (JI). However, the effect of financial anxiety (FA) on JI has received lesser attention. Further, there is a dearth of literature on this relationship during a global crisis, such as COVID-19, and more so in the Indian context. This study attempts to empirically explore the relationship between FA and JI in presence of moderators, such as gender, tenure and individual annual income. Data were collected from 584 employees engaged in remote working in the information technology (IT) sector in India during the COVID-19 crisis. The data were analysed using SPSS 25 and AMOS 24. A hierarchical regression method was followed to test the hypothesis. In step 1, JI was regressed on FA in presence of control variables. In step 2, moderators, such as gender, tenure and individual annual income, were entered along with interaction terms. Findings revealed a significant positive relation between FA and JI. The moderating effects of gender, tenure and annual income on the relationship between FA and JI were significant and interesting. The paper empirically studies the role of FA on JI of Indian IT employees during COVID- 19. It is a response to researchers' call to integrate the effect of different moderators on the relationship between FA and JI during a crisis that has direct impacts on both. The influence of moderators on JI was interesting in the reversal effects produced.
      Citation: Benchmarking: An International Journal
      PubDate: 2022-01-24
      DOI: 10.1108/BIJ-03-2021-0134
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • A multi-product and multi-period aggregate production plan:
           a case of automobile component manufacturing firm

    • Free pre-print version: Loading...

      Authors: Vishwas Dohale , Priya Ambilkar , Angappa Gunasekaran , Vijay Bilolikar
      Abstract: The study attempts to develop a multi-product multi-period (MPMP) aggregate production plan (APP) to fulfill the customers' demand in terms of throughput and lead time for achieving market competence. This research proposes an integrated Fuzzy analytical hierarchy process (FAHP), multi-objective linear programming (MOLP), and simulation approach. Initially, FAHP is used to select the essential objectives a firm desires to achieve. Adopting the MOLP, an APP is formulated for the firm under study. Later, the simulation model of a firm is created in a discrete-event simulation (DES) software Arena© to evaluate the applicability of the proposed APP. A comparative analysis of the manufacturing performance levels (namely throughput, lead time, and resource utilization) achieved through the implication of an existing production plan and proposed APP is conducted further. The findings from the study depict that the proposed MOLP-based APP can satisfy the customers' requirement (namely throughput and lead time) and improve the level of resource utilization compared with the firm's existing production plan. The proposed research facilitates researchers and practitioners to understand the process of developing MOLP-based MPMP APP and analyzing its applicability through simulation technique to be utilized for developing APP at their firm. An integrated FAHP-MOLP-simulation framework is the novel contribution to the literature on production planning. It can be extended to solve strategic, tactical, and operational problems in different domains like service, healthcare, supply chain, logistics, and project management.
      Citation: Benchmarking: An International Journal
      PubDate: 2022-01-24
      DOI: 10.1108/BIJ-07-2021-0425
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Work engagement, affective commitment, and career satisfaction: the
           mediating role of knowledge sharing in context of SIEs

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      Authors: Anupriya Singh
      Abstract: The purpose of this paper is to examine linkages between work engagement, affective commitment, and career satisfaction, while probing the mediating role of knowledge sharing in context of self-initiated- expatriates (SIEs). A mediation model was tested using survey data from 266 SIEs working in US information technology (IT) multinational corporations (MNCs). The results revealed significant direct and indirect effects of work engagement on affective commitment and career satisfaction through knowledge sharing. Although common method bias and validity of measurement were assessed in this study, the survey data were cross-sectional. Rigorous testing of the proposed mediated model through longitudinal design must be undertaken to allow for stronger inferences about causation. The results suggest that organizations must nurture a knowledge sharing culture to promote knowledge exchange amongst SIEs. This study also underscores the importance of SIEs' work engagement as an enabler of knowledge sharing. Managers have a critical role in creating the right work environment, where SIEs feel engaged in their work and motivated to share knowledge. This is the first study to examine interlinkages between work engagement, knowledge sharing, affective commitment and career satisfaction in SIEs' context.
      Citation: Benchmarking: An International Journal
      PubDate: 2022-01-19
      DOI: 10.1108/BIJ-01-2021-0016
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The effect of employee's mindfulness on voluntary pro-environment
           

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      Authors: Sachin Kumar , Tapan Kumar Panda , Krishan Kumar Pandey
      Abstract: Limited research efforts have been undertaken despite the pivotal role of employees' voluntary behaviours in the success of organizations' environmental sustainability programs. In this context, the present study examined the association between employee's mindfulness (EM) and voluntary pro-environmental behaviour (VPEB) at the workplace, and also the mediating effect of connectedness to nature (CNS) on this relationship. Grounded in the re-perceiving theory, a model was developed with EM as an independent variable, CNS as the mediator and employees VPEB at the workplace as the dependent variable. Based on the online responses from 421 employees working in manufacturing as well as services sectors in India, analysis was undertaken by utilizing confirmatory factor analysis, Pearson correlation and the PROCESS macro of Hayes (2017). EM was noted to be positively influencing employee's VPEB at the workplace, and the mediation analysis indicated that CNS partially intervenes in this relationship. Corporate leaders striving to achieve the organization's environmental sustainability goals could strive to build a pro-environment culture at the workplace by developing employees' mindfulness and sense of CNS. As the findings have depicted, this would positively influence employee's VPEB at the workplace which in turn will help organizations in achieving their environmental sustainability goals. This study is the first to examine how EM through CNS motivates employees to engage in VPEB, especially in the organizations' context. Moreover, the re-perceiving theory of mindfulness was also extended in the organizations' environmental sustainability context.
      Citation: Benchmarking: An International Journal
      PubDate: 2022-01-19
      DOI: 10.1108/BIJ-05-2021-0237
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Exploring the remote work challenges in the era of COVID-19 pandemic:
           review and application model

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      Authors: P. Arunprasad , Chitra Dey , Fedwa Jebli , Arunmozhi Manimuthu , Zakaria El Hathat
      Abstract: Remote work (RW) literature is a megatrend in HRM literature, and the COVID-19 pandemic has highlighted the importance of RW as a concept and an organisational practice. Given the large number of papers being published on remote work, there is a need for a critical review of the extant literature using bibliometric analysis. This paper examines the literature on remote working to identify the factors crucial for managing a remote workforce. This study uses the complex adaptive systems theory as a foundation to build a framework that organisations can use to manage their remote workforce, focusing on three outcomes: employee engagement, collaboration and organisational agility. Bibliometric analysis was conducted on the research published in Scopus journal in the area of remote work, followed by critical literature analysis. The bibliometric analysis identified five clusters that reflect five organisational factors which the management can align to achieve the desired outcomes of engagement, collaboration and agility: technology orientation, leadership, HRM practices, external processes and organisational culture. The present findings have important implications for managing the remote workforce. The five factors were mapped to propose a conceptual model on engaging individual employees, fostering team collaboration and building organisational agility while working remotely. We also propose an application model for using technology to achieve the outcomes of engagement, collaboration and agility in the organisation. Practitioners could use this framework to focus on the factors that can create a conducive environment to improve work efficiency in a remote workforce.
      Citation: Benchmarking: An International Journal
      PubDate: 2022-01-17
      DOI: 10.1108/BIJ-07-2021-0421
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Modelling the abstract knots in supply chains using interpretive
           structural modelling (ISM) approaches: a review-based comprehensive
           toolkit

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      Authors: Haidar Abbas , Mohd Mehdi , Imran Azad , Guilherme F. Frederico
      Abstract: This study endeavours to (a) develop a comprehensive interpretive structural modelling (ISM) toolkit containing sufficient details about the suitability and procedural aspects of each ISM approach and offer points of reference for budding researchers, (b) highlight the compatibility of ISM approaches with other qualitative and quantitative approaches, and (c) chalk-out an agenda for future research. This study is based on an extensive review of 74 studies where researchers have used one or more ISM approaches. These studies span across the different industry sectors. There exists a huge void in terms of the methodological synthesis of ISM approaches. ISM approaches are frequently used in sync with other qualitative and quantitative approaches. Furthermore, it highlights the need of improving the robustness of the proposed ISM models by sharing the critical details of research process. Being a review-based work, it could not illustrate the discussed ISM approaches with real data. However, it offers a research agenda for the prospective researchers. The prerequisites, pitfalls, suitability and the procedural aspects of various ISM approaches contained in this toolkit are equally useful for the academicians as well as practitioners. In the absence of a synthesized framework, this study contributes a comprehensive ISM toolkit which will help the researchers to choose a suitable ISM approach in a given case.
      Citation: Benchmarking: An International Journal
      PubDate: 2022-01-14
      DOI: 10.1108/BIJ-08-2021-0459
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Benchmarking the failure assessment of perishable product supply chain
           using fault tree approach: insights from apple case study of India

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      Authors: Manisha Bhardwaj , Rajat Agrawal
      Abstract: The purpose of this paper is to facilitate perishable product supply chain (PPSC) managers and practitioners to assess PPSC failure events. The paper proposed fault tree methodology for assessing failures associated with PPSC for evaluating the performance in terms of effective PPSC management adoption. Initially, different failure events were identified from literature and semi-structured interviews from experts. Fault tree model was developed from the identified failure events. Probability of failure events was calculated using Poisson distribution based on the annual reports and interviews conducted from experts. Further, qualitative analysis – minimum cut sets (MCSs), structural importance coefficient (SIC) – and quantitative analysis – Birnbaum importance measure (BIM), criticality importance factor (CIF) and diagnosis importance factor (DIF) – were performed for ranking of failure events. In this study, fault tree development and analysis were conducted on apple supply chain to present the authenticity of this method for failure analysis. The findings indicate that the failure events, given as failure at production and procurement (A2), that is, involvement of middleman (BE3), handling and packaging failure (BE4) and transportation failure (A3), hold the highest-ranking scores in analysis of PPSC using fault tree approach. This research uses the modularization approach for evaluation of failure events of PPSC. This paper explores failures related to PPSC for efficient management initiatives in apple supply chain context. The paper also provides suggestion from managerial perspective with respect to each failure event.
      Citation: Benchmarking: An International Journal
      PubDate: 2022-01-11
      DOI: 10.1108/BIJ-08-2021-0465
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Application of blockchain technology for agrifood supply chain management:
           a systematic literature review on benefits and challenges

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      Authors: Ayushi Srivastava , Kavya Dashora
      Abstract: This study aims to explore and analyze the application of blockchain technology (BKCT) in agrifood supply chain management (AFSM). A systematic literature review (SLR) using Scopus, Emerald and Web of Science covering publications from 2016 to 2021 (till June). Out of 429 papers, 89 papers were shortlisted from journals based on citation analysis. The citation analysis was followed by a content analysis was for an in-depth analysis. Regarding the application of BKCT in the agrifood supply chain, the study highlights the issue of food safety, traceability, transparency, eliminating intermediaries and integrating Internet of things (IoT) with BKCT as prominent applications in the agrifood sector. The study also uses the case of honey supply chain to use the explored applications in the agrifood sector and provides a traceability solution based on blockchain integrated with IoT. The challenges of BKCT as identified in the study are scalability, privacy, security, lack of regulations and lack of skills and training. The review considers only academic papers obtained from specific databases with their relevance based on number of citations. The study contributes to filling the existing research gap through this SLR on the application of BKCT in AFSCM. The content analysis further assists in exploring the benefits and challenges of BKCT in the agrifood sector. Thus, the academic articles selected aid in this process.
      Citation: Benchmarking: An International Journal
      PubDate: 2022-01-07
      DOI: 10.1108/BIJ-08-2021-0495
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Financial inclusion through Kiosk-based banking services: a study with
           reference to business correspondent models in the state of Kerala

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      Authors: Muhammed Shafi M.K , M. Ravindar Reddy
      Abstract: The paper aims to study the outreach and performance of business correspondent (BC) models, which are implemented as a subsidiary agent of banks to accelerate the financial inclusion (FI) mission in India. In this regard, the study illustrates BC's products and services rendered to customers, forms of delivery channels and BC's view on banking services and Kiosk-based BC programs. The current paper is an empirical study based on surveying 200 Kiosk-based BCs working in the state of Kerala. After the preliminary screening analysis of the data with outlier deletion, removal of missing values and normality test, both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were executed followed by reliability test, convergent and discriminant validity tests. Covariance-based structural equation modeling (CBSEM) was performed for CFA and inferential tests were carried out by using statistical package for the social sciences (SPSS) and analysis of a moment structures (AMOS) and Eviews. Chiefly, eight operational forms of BCs were found from the field survey. Hypothetical tests show the significant impact of the serviceability of banks on BC's profitability. Validity tests such as average variance extracted (AVE), composite reliability (CR), maximum shared variance (MSV) and average shared variance (ASV) were established after the removal of the cross-loaded items of the questionnaire from the rotated component matrix. BCs perform main banking services especially bank account opening facility and Akshaya E-Centers are widely used for this model as Kiosk banking in the surveyed state. So far, no study has encompassed empirical research on performance analysis and outreach of the BC model in the state of Kerala where this BC model well functions. Since the study is a novel form of banking channelization for FI, the study can contribute to understanding the further feasibility and future dimension of the model based on experimental views of BCs.
      Citation: Benchmarking: An International Journal
      PubDate: 2022-01-07
      DOI: 10.1108/BIJ-11-2020-0591
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Modelling the resilience of start-ups during COVID-19 pandemic

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      Authors: Aswathy Sreenivasan , M. Suresh , Juan Alfredo Tuesta Panduro
      Abstract: Resilience, the ability of start-ups to deal with anticipated instabilities and probable disruptions, is becoming an important success element during coronavirus disease 2019 (Covid-19). To survive in this pandemic situation, resilience is an important concept for start-ups. The present paper aims to “identify”, “analyse” and “categorize” the resilience factors for start-ups during the Covid-19 pandemic using total interpretive structural modelling (TISM). The resilience elements of start-ups during Covid-19 were identified and shortlisted during the first phase, which included literature analysis and extensive interaction with experts. TISM was used in the second phase to investigate or to determine how the factors interplayed between the resilience factors of start-ups during Covid-19. The Matrice d'impacts Croises Multiplication Appliquee a un Classment (MICMAC) method is used to rank and categorize the factors. Closed-ended questionnaire with the scheduled interview was conducted to collect the data. The first part of the study found ten resilience elements in total. The TISM digraph was constructed in the second step to show why one resilience component led to another. The MICMAC analysis divided these factors into four groups: autonomous, linkage, dependent and independent. These groups represented resilience variables based on their driving and dependent power, which assist executives and managers in proactively addressing them while using the TISM digraph as a guide. During the Covid-19 epidemic, this study focused primarily on resilience characteristics for Indian start-ups. This study will help key stakeholders and scholars to better understand the elements that contribute to start-up's resilience. The TISM method for start-up's resilience is suggested in this paper, which is a novel attempt in the field of resilience in this industry.
      Citation: Benchmarking: An International Journal
      PubDate: 2022-01-05
      DOI: 10.1108/BIJ-09-2021-0530
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Resilience against the COVID-19 pandemic: is the hotel and tourism supply
           chain on the right path'

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      Authors: Aaditya Jain , Saket Shanker , Akhilesh Barve
      Abstract: The hotel and tourism industry forms a crucial economic sector for all the economies around the world. However, it suffered the worst hit during the COVID-19 outbreak. Considering the hotel and tourism sector's critical situation, this manuscript aims to emphasise the importance of resilience in the hotel and tourism supply chain (HTSC) and explores the crucial barriers that tend to disturb the inculcation of stability in the hotel and tourism sector. The present research analyses the factors influencing the hotel and tourism sector's resilience and also takes into consideration the various critical success factors (CSFs) needed to build a resilient HTSC. A two-phase research approach has been proposed and used in this study. In the first phase, eight CSFs and sixteen factors influencing the hotel and tourism sector's resilience during the COVID-19 pandemic were identified. The basis of the identification of the CSFs and factors was literature and inputs received from experts. In the second phase, the grey-Entropy-EDAS, a qualitative and quantitative analysis, was used to analyse the identified CSFs and factors to determine the priority of concern. In this research, the most imperative facet influencing the hotel and tourism sector's resilience has been identified, and the findings will assist hotel and tourism sector in managing and mitigating the repercussions of the COVID-19 pandemic. The analysis of the results indicates that out of all the critical success factors, supply chain visibility is the most crucial aspect in building HTSC's resilience, whereas economic catastrophe is the most influential factor. Sensitivity analysis is also conducted to examine the priority ranking stability. The results of this study can be used by the hotel supply chain managers and policymakers to plan for various challenges faced by them as they try to implement resilience-based strategies in their supply chain. This research is unique as it analyses the general factors hindering the pathway of resilience in the hotel and tourism supply chain. This is also the first kind of study that has used grey-Entropy to analyse the critical success factors and grey-EDAS for analysing the impact of various factors influencing the hotel and tourism sector's resilience.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-31
      DOI: 10.1108/BIJ-05-2021-0249
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Does a retailer's performance depend on CSR practices' A stakeholder
           theory perspective from developing economy

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      Authors: Anil Kumar , Rohit Kr Singh
      Abstract: The study aims to examine the relationship between retailer's performance and corporate social responsibility (CSR) practices in Indian context. The article introduces a new conceptual model considering the parameters as per the stakeholder theory perspective. The authors conducted empirical research with CSR practices (CSRP) and other parameters to evaluate the retailers' performance using stakeholder theory. The authors present the results from 292 valid responses from the Indian retailers. The study used structured equation modeling (SEM) to present the analysis and the results. Findings indicate that CSRP along with additional constructs loyalty (L), reputation (R), customer satisfaction (CS) and competitive advantage (CA) have positive and significant impact on organizational performance (OP). The framework will serve as a guiding tool to the management of the retail outlets to examine carefully the link among CSRP with other variables presented in the study and subsequently to the retail outlet performance. The retailers must be more focused on the expectations and demands of the customers concerning products and services for better growth of the firms. The uniqueness of the study lies in “CSR practices enabled integrated model” to examine the performance of the organizations. The proposed theoretical model would add value to the existing literature to help the retailers in process of their performance improvement.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-23
      DOI: 10.1108/BIJ-07-2021-0384
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Benchmarking the economic and environmental performance of water
           utilities: a comparison of frontier techniques

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      Authors: Maria Molinos-Senante , Alexandros Maziotis , Ramon Sala-Garrido
      Abstract: The purpose of this paper is to estimate and compare the efficiency of several water utilities using three frontier techniques. Moreover, this study estimates the impact of several qualities of service variables on water utilities’ performance. The paper utilizes three frontier techniques such as data envelopment analysis (DEA), stochastic frontier analysis (SFA) and stochastic non-parametric envelopment of data (StoNED) to estimate efficiency scores. Efficiency scores for each methodological approach were different being on average, 0.745, 0.857 and 0.933 for SFA, DEA and StoNED methods, respectively. Moreover, it was evidenced that water leakage had a statistically significant impact on water utilities’ costs. The choice of an adequate and robust method for benchmarking the efficiency of water utilities is very relevant for water regulators because it affects decision making process such as water tariffs and design incentives to improve the performance and quality of service of water utilities. This paper evaluates and compares the performance of a sample of water utilities using three different frontier methods. It has been revealed that the choice of the efficiency assessment method matters. Unlike SFA and DEA, a lower variability was shown in the efficiency scores obtained from the StoNED method.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-21
      DOI: 10.1108/BIJ-08-2021-0481
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Adolescent psychological well-being and adulthood cardiovascular disease
           risk: longitudinal association and implications for care quality
           management

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      Authors: Sharan Srinivas , Kavin Anand , Anand Chockalingam
      Abstract: Prior research suggests that 80% of cardiovascular disease (CVD) events can be prevented by modifying certain behaviors, yet it remains the primary cause of mortality worldwide. Early detection and management of critical modifiable factors have the potential to improve cardiovascular care quality as well as the associated health outcomes. This study aims to assess the independent impact of psychological well-being in adolescence, a modifiable factor, on long-term CVD risk and promote targeted early interventions through quality management principles. Data from the Add Health study, which employed a series of surveys and health tests (Wave 1 – Wave 4) on individuals for 14 years (from adolescence to adulthood), were obtained and analyzed longitudinally. Psychological well-being in adolescence was assessed using four Wave 1 survey questions, and 30-year CVD risk was estimated 14 years later with Wave 4 data. Three different logistic regression models were examined to understand the impact of adding covariates. This study’s sample included 12,116 individuals who responded to all the relevant questions and underwent clinical risk factor measurements in Wave 1 (adolescence) and Wave 4 (young adulthood). Psychological well-being was protective with reduced risk for CVD across the three models tested. There is a statistically significant association, where increasing psychological well-being reduced the 30-year CVD risk exponentially in all the models. The analysis also suggested an exposure–response relationship, where the 30-year risk category of adulthood CVD decreased with an increase in psychological well-being. This research uncovers an inverse association between adolescent psychological well-being and adulthood CVD risk. This study also identifies quality management-based preventive tools/techniques to improve psychological well-being in adolescence and therefore reduce CVD risk later in life. This study is among the first to establish a long-term association between positive well-being and CVD risk. Also, unlike the existing literature, this work provides implications for improving CVD care from a quality management perspective.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-20
      DOI: 10.1108/BIJ-06-2021-0369
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Is health consciousness and perceived privacy protection critical to use
           wearable health devices' Extending the model of goal-directed behavior
           

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      Authors: Nishit Kumar Srivastava , Namrata Chatterjee , A.K. Subramani , N. Akbar Jan , Pankaj Kumar Singh
      Abstract: The present study is an attempt to extend the Model of Goal-directed Behavior (MGB) to consider health consciousness and perceived privacy protection as two critical factors to predict desire and intention by individuals to adopt and use wearable health devices (WHDs). Based on the literature review hypotheses were framed and tested using data collected through a questionnaire survey. A total of 418 self-reported complete responses were considered to analyze the hypotheses proposed in the study. Structural equation modeling, effects analysis and model comparison (MGB and extended MGB) were performed to understand the predictability of the suggested model. The results of the study corroborate that along with MGB, health consciousness and perceived privacy protection also induces the intention of users toward using WHDs. Health-consciousness is found to have a positive and significant direct and indirect impact on intention to use WHDs. Further, the model comparison exhibits that the proposed extended MGB is a better predictor of intention to use WHDs. Apart from the conventional framework of MGB, health consciousness and perceived privacy protection promote desire and intention to use WHDs. This research provides a framework for marketers to promote health consciousness among consumers by motivating them to adopt WHDs. Further, privacy protection features should be showcased in order to induce trust in consumers which in turn will trigger their intention to use WHDs to lead a healthy lifestyle. The current study incorporates health consciousness and perceived privacy protection in MGB to fit into the context of healthcare intention study, which enhances the predictability of intention behavior of consumers and adds to the existing body of MGB and healthcare literature.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-20
      DOI: 10.1108/BIJ-12-2020-0631
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Strategic sourcing model for green supply chain management: an insight
           into automobile manufacturing units in India

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      Authors: Sudipta Ghosh , Madhab Chandra Mandal , Amitava Ray
      Abstract: Supplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green supply chain management (GSCM), it is somewhat surprising that very little research attention has been imparted to the development of a strategic sourcing model for GSCM. This research aims to develop a strategic sourcing framework in which supplier organizations are prioritized and ranked based on their GSCM performance. Accordingly, the benchmark organization is identified and its strategy is explored for GSCM performance improvement. The research develops an innovative GSCM performance evaluation framework using six parameters, namely, investment in corporate social responsibility, investment in research and development, utilization of renewable energy, total energy consumption, total carbon-di-oxide emissions and total waste generation. An integrated multicriteria decision-making (MCDM) approach is proposed in which the entropy method calculates criteria weights. The Complex Proportional Assessment (COPRAS) and the Grey relational analysis (GRA) methods are used to rank supplier organizations based on their performance scores. A real-world case of green supplier selection (GSS) is considered in which five leading India-based automobile manufacturing organizations (Supplier 1, Supplier 2, Supplier 3, Supplier 4 and Supplier 5) are selected. Surveys with industry experts at the strategic, tactical, and operational levels are carried out to collect relevant data. The results reveal that total carbon dioxide emission is the most influential parameter, as it gains the highest weight. On the contrary, investment in research and development, and total waste generation have no significant impact on GSCM performance. Results show that Supplier 5 secures the top rank. Hence, it is the benchmark organization. The proposed methodology offers an easy and comprehensive approach to sourcing decisions in the field of GSCM. The entropy weight-based COPRAS and GRA methods offer an error-free channel of decision-making and can be proficiently used to outrank various industrial sectors based on their GSCM performances. This research is specific to the automobile manufacturing supply chain. Therefore, research outcomes may vary across supply chains with distinct characteristics. The basic propositions of this research are based on a real-world case. Hence, the research findings are practically feasible. The less significant parameters identified in this study would enable managers to impart more attention to vulnerable areas for improvement. This research may help policymakers identify the influential parameters for effective GSCM implementation. As this research considers all aspects of sustainability, the strategies of the benchmark supplier have a direct impact on organizations' overall sustainability. The study would enable practitioners to make various strategies for GSCM performance improvement and to develop a cleaner production system. The originality of this research lies in the consideration of both economic, social, environmental and operational aspects of sustainability for assessing the GSCM performance of supplier organizations. Quantitative criteria are considered so that vagueness can be removed from the decision. The use of an integrated grey-based approach for developing a strategic sourcing model is another unique feature of this study.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-17
      DOI: 10.1108/BIJ-06-2021-0333
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Building resilience in retail supply chains: Lessons learned from COVID-19
           and future pathways

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      Authors: Atif Saleem Butt
      Abstract: This study explores the countermeasures taken by retailers to mitigate the effects of COVID-19 on supply chain disruptions. This research uses a multiple case study approach and undertakes 36 semi-structured interviews with senior management of the four largest retailers of the United Arab Emirates. The respondents were designated at different positions such as Vice President, Director and Project Manager. Results reveal that retailers are employing six countermeasures to mitigate the effects of COVID-19 on supply chains. Particularly, retailers are securing required demand, preserving cash flows, redirecting inventory, adding capacity to their distribution centres, becoming more flexible with their direct or third-party logistics provider and finally widening delivery options for their suppliers to mitigate the impact of COVID-19. This study has some limitations. First, the results of this study cannot be generalized to a broader population as it attempts to build an initial theory. Second, this study uses a cross-sectional approach to explore the countermeasures employed by retailing firms to mitigate the effects of COVID-19. A notable weakness in a supply chain disruption literature is an unfulfilled need for research examining the strategies employed by retailers to respond to/address the challenges posed by COVID-19. Our study fills this gap.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-17
      DOI: 10.1108/BIJ-09-2021-0514
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Revenue efficiency evaluation of life insurance companies in India:
           identification of leaders and laggards

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      Authors: Aparna Bhatia , Megha Mahendru
      Abstract: The purpose of this article is to evaluate revenue efficiency performance of life insurance companies in India. The study also compares if private or public insurance sector is more “revenue efficient”. Furthermore, the study determines the nature of return to scale (RTS) and identifies the leaders and laggards amongst insurance companies operating in India. Revenue efficiency is calculated by employing data envelopment analysis – a non-parametric approach, on a data set of 24 insurance companies over the period 2013–2014 to 2017–2018. The empirical results suggest that life insurance companies in India could generate only 34.4% of revenue, which is very less than what these are expected to generate from the same inputs. Majority of life insurance companies operating in India are operating at decreasing return to scale (DRS). There is a reduction in leaders and the highest proportion of companies is falling in the category of laggards. As per the best knowledge of researchers, no empirical work has been carried out with respect to measuring the revenue efficiency of Indian insurance companies. The current study appropriately fills the gap by not only calculating the revenue efficiency scores of insurance companies in India but also provides insights into the causes of revenue inefficiencies. It also gives implications for efficient and effective management of insurance companies.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-16
      DOI: 10.1108/BIJ-01-2021-0051
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The road towards industry 4.0: a comparative study of the
           state-of-the-art in the Italian manufacturing industry

         This is an Open Access Article Open Access Article

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      Authors: Ting Zheng , Marco Ardolino , Andrea Bacchetti , Marco Perona
      Abstract: This paper has two objectives: first, to investigate the state-of-the-art of Industry 4.0 (I4.0) adoption in Italian manufacturing firms and, second, to understand variations in technologies implemented and business functions involved, benefits perceived, and obstacles encountered in I4.0 implementation over a three-year period. The approach adopted in this research is descriptive, nesting longitudinal features. The paper presents a descriptive survey of 102 Italian manufacturing companies. The authors also evaluated non-response biases. The longitudinal approach was achieved by comparing the responses of the 40 sub-samples in common with a second similar survey launched three years prior, which aimed to identify patterns of evolution in the adoption of the I4.0 paradigm. Survey findings demonstrate that Italian manufacturing companies still have limited awareness of I4.0 technologies, and the adoption of I4.0 technologies differs per technology. Company size and information system coverage level are the two factors that impact the company's technology adoption level. The comparative study shows that knowledge and adoption increase in a three-year interval with an unbalanced involvement of business functions regarding the I4.0 transformation. Indeed, companies are still seeking I4.0 solutions to reduce costs and lead times primarily, and the benefits perceived by companies are shown to be related to the number of I4.0 technologies in use. Finally, when companies put the I4.0 technologies into practice, competence is constantly considered the most significant barrier. This paper aims at conducting a thorough investigation into the development of I4.0 adoption in manufacturing companies. The main limitation of this study concerns the limited number of subjects involved in the longitudinal study (40) and the focus on a limited geographical area (Italy). In addition, more I4.0 technologies could also be incorporated into the survey protocol to gain further insight into I4.0 development. The authors provide one of the first attempts to assess the variations of I4.0 implementation concerning technology adoption, business function involvement, and the alteration of benefits and obstacles. Several studies presented in the literature highlight the lack of longitudinal studies investigating the development of the I4.0 paradigm in a specific manufacturing context: this paper is the attempt at filling this gap.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-16
      DOI: 10.1108/BIJ-01-2021-0056
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Environmental policy stringency and comparative advantage of environmental
           sensitive goods: a study of textile exports in G20 countries

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      Authors: Alisha Mahajan , Kakali Majumdar
      Abstract: Textile, listed as one of the highly environmentally sensitive goods, its trade is susceptible to be influenced by the implementation of stringent environmental policies. This paper aims to investigate the long-run relationship between revealed comparative advantage (RCA) and Environmental Policy Stringency Index (EPSI) for textile exports of G20 countries in panel data setup. Apart from trend analysis, the authors have employed Pedroni and Westerlund panel cointegration method and fully modified ordinary least square (FMOLS) method to study the long-run relationship between RCA and EPSI in presence of cross-sectional dependence. A strong link between trade and environmental stringency is observed for textile in the present study. For G20 countries, slight evidence of the Pollution Haven Hypothesis has also been witnessed in the study. Correspondingly, the results reveal the presence of long-run association between the variables under study, implying that stringent environmental policies reduce RCA for some countries, whereas some countries witness the Porter hypothesis. The results imply that policy formulation should not aim at limiting the efforts of connecting RCA to environmental stringency but to set trade policies in a wider framework, considering environmental concerns, as these are inseparable subjects. However, this study also provides relevant real-world implications that can support further research. The present study has important implications for textile exporters such as green innovations. The Porter hypothesis can be a beneficial tool for G20 exporters in enhancing their export performance, especially for the ones dealing in environmentally sensitive goods. This study offers relevant policy implications and provides directions for future research on global trade and environment nexus. This study deals in a debatable area of research that evaluates the interlinkages between environmental stringency and global trade flows in the G20 countries. An important observation of the study is the asymmetrical nature of policy stringency across different countries and its impact on trade. The unavailability of updated data is the limitation of the present study.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-16
      DOI: 10.1108/BIJ-06-2021-0304
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Development of a sustainable brand identity model: fostering the
           implementation of SDGs in the Brazilian power sector

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      Authors: Adriana Cristina Ferreira Caldana , Marina Lourenção , Caroline Krüger , Adriana Fiorani Pennabel , Neusa Maria Bastos Fernandes dos Santos
      Abstract: This study aims to develop a sustainable brand identity model to help organizations align their managerial practices to sustainable development goals (SDGs) and examine its applicability for a Brazilian electrical sector company. A systematic qualitative review of the literature was carried out to provide a theoretical basis for the attributes chosen to compose the sustainable brand identity management (SBIM) model. To apply the model, the authors collected the data from internal and public domain documents, semi-structured in-depth interviews and non-participant observation of the company's work environment. The first SBIM model was developed. The Brazilian power sector company implemented sustainable actions related to most of the models' attributes, contributing to the SDGs. A research agenda was presented. The theoretical contribution is provided toward brand identity and sustainability literature with the sustainable brand identity model development and the conceptual explanation regarding its attributes. The practical implications are provided from the model application to an electrical company leading to some managerial suggestions that might be used to companies willing to align their practices to sustainability. The studies on SDG and brand identity models were analyzed in order to create the first SBIM model. This article extends the concept of the brand identity of marketing theory by linking its core to sustainability actions, so far not addressed in academic studies.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-15
      DOI: 10.1108/BIJ-06-2021-0363
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Decision model with quantification of buyer-supplier trust in advanced
           technology enterprises

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      Authors: Zachary A. Collier , Ujjwal Guin , Joseph Sarkis , James H. Lambert
      Abstract: In the buyer-supplier relationship of a high-technology enterprise, the concepts of trust and risk are closely intertwined. Entering into a buyer-supplier relationship inherently involves a degree of risk, since there is always an opportunity for one of the parties to act opportunistically. Purchasing and supply managers play an important role in reducing the firm's risk profile, and must make decisions about whether or not to enter into, or remain in, a relationship with a supplier based on a subjective assessment of trust and risk. In this paper, the authors seek to explore how trust in the buyer-supplier relationship can be quantitatively modeled in the presence of risk. The authors develop a model of trust between a buyer and supplier as a risk-based decision, in which a buyer decides to place trust in a supplier, who may either act cooperatively or opportunistically. The authors use a case study of intellectual property (IP) piracy in the electronics industry to illustrate the conceptual discussion and model development. The authors produce a generalizable model that can be used to aid in decision-making and risk analysis for potential supply-chain partnerships, and is both a theoretical and practical innovation. However, the model can benefit a variety of high-technology enterprises. While the topic of trust is widely discussed, few studies have attempted to derive a quantitative model to support trust-based decision making. This paper advanced the field of supply chain management by developing a model which relates risk and trust in the buyer-supplier relationship.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-09
      DOI: 10.1108/BIJ-06-2021-0336
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Relationship between perceived performance management system (PMS)
           effectiveness, work engagement and turnover intention: mediation by
           psychological contract fulfillment

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      Authors: Neha Paliwal Sharma , Tanuja Sharma , Madhushree Nanda Agarwal
      Abstract: Performance management systems (PMSs) are critical for organizational success, but research is undecided on their constructive influence and the means through which they impact work engagement and turnover intention. This study aims to fill this gap by surmising psychological contract fulfillment as a mediator in the relationship between PMS effectiveness (PMSE) and employee outcomes. The study uses a survey research design. Data were collected from 327 working professionals in India. The Statistical Package for Social Science Version 10.0 (SPSS 10.0) and the Analysis of Moments Structure (AMOS) 4.0 were used for data analyses. The two-factor construct perceived PMSE was found to explain a larger variance in work engagement and turnover intention than the separate measures for its constituents PMS accuracy (PMSA) and PMS fairness (PMSF). Psychological contract fulfillment and work engagement were found to mediate the relationship between PMSE and turnover intention. The study broadens the field of research on PMS in important ways. It demonstrates that the two-factor construct PMSE has a larger influence on employee outcomes in comparison to its constituent individual measures PMSA and PMSF. This is also the first study to suggest that in contrast to PMSF, PMSA explains a higher variance in employee outcomes. This study validates the strong relationship between PMSE and key employee outcomes. Besides PMSF, managers can use the findings of this study to focus on the “right things” or accuracy in the PMS context to enhance work engagement and reduce turnover. The study findings will have value everywhere owing to the diffusion and convergence in the human resource management practices of multinational firms irrespective of their contexts (Ananthram and Nankervis, 2013). Earlier PMS studies have mostly been limited to either its fairness or accuracy and attended unduly to its appraisal element. This study adopts a systems vision of PMS and overcomes earlier drawbacks by investigating the role of both PMSA and PMSF in shaping employee outcomes. This is the first study to empirically confirm that in contrast to PMSF, the PMSA constituent of PMSE explains a higher variance in employee outcomes. The study provides greatly essential pragmatic support to the conjecture that PMSs advance work engagement (Mone and London, 2014; Gruman and Saks, 2011) and lower turnover intention (Kwak and Choi, 2015).
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-08
      DOI: 10.1108/BIJ-01-2021-0008
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Green human resource management and environmental performance: the role of
           green supply chain management practices

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      Authors: Amer Saeed , Fatima Rasheed , Maimoona Waseem , Mosab I. Tabash
      Abstract: This research scrutinizes the connection between green human resources management (GHRM) and environmental performance (EP) through mediating role of green supply chain management (GSCM). The conceptual prototype developed in this research was originated from familiarized literature review on the connection between EP, GSCM and GHRM. Moreover, this research employed a quantitative approach through conducting interviews and questionnaires for statistics assortment from the following entities: chief executes, general managers, directors, human resource managers, logistics managers, operation managers and supply chain managers in the manufacturing sector in Pakistan. The partial least squares structural equation modelling (PLS-SEM) was considered for statistical exploration by accepting 269 useable responses. The research asserts significant encouragement of GHRM and GSCM on EP. Moreover, GSCM arbitrates significantly between GHRM and EP. This research recommends policies to manufacturing concerns that they should work to stabilize ecological sustainability by developing maximum GHRM and GSCM. This research comes up with an innovative variables structure which has never been adopted before in the manufacturing area of Punjab in Pakistan.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-06
      DOI: 10.1108/BIJ-05-2021-0297
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Managing BPM life cycle transition risks in a small educational company to
           support change management

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      Authors: Larissa Ane Hora de Souza , Victor Diogho Heuer de Carvalho , Roberio José Rogério dos Santos , Jonhatan Magno Norte da Silva
      Abstract: This article aims to present a methodology applied to the transition between the “as-is” and “to-be” stages of the Business Process Management (BPM) life cycle, supporting its implementation and maintenance for the organizational stability, using techniques from Operations Research and Information and Decision Theories, applied by a gamified system. The study used Design Science Research, considering the following methodological elements: (1) artifact model, after initial analysis of the organization; (2) problem relevance, incorporating components to the Markov transition matrix and the integer programming model for resource optimization; (3) model evaluation, establishing mechanisms to validate the methodology created; (4) research contributions, showing benefits found; (5) systematic approach, detailing methods used; (6) model's research process, revealing the means for execution; and (7) final presentation of results. After planning three scenarios for the company, containing zero, one or two implemented processes, the matrix of states in the Markov chain effectively identified the states of greater and lesser transition uncertainty. At the same time, the optimization model guided the organization toward a stable change in its operational and financial areas. The company's planning capacity has increased, as its managers now have a methodology to promote rational decisions about the development of plans. Before, managers believed that the methodology used was only for large companies. However, this view changed with the results, showing a structured view of the ability to absorb new customers, relocate established ones, increase the comfort level for employees and increase profitability for the company's business. The study showed that the combination of techniques opens a new perspective to the incorporation of BPM in organizations, allows a smooth change between the current and future state, making it possible to predict the evolution of transition scenarios.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-03
      DOI: 10.1108/BIJ-03-2021-0138
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Analysing drivers of efficiency in the leather industry: a two-stage
           double bootstrap DEA approach

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      Authors: Aparajita Singh , Haripriya Gundimeda
      Abstract: The Indian leather industry contributes to economic growth at a significant environmental cost. Due to the rising global demand for sustainable leather products, promoting efficient input utilisation has become vital. This study measures input efficiency and its determinants for leather industry in order for it to improve its future performance. In the first stage, bootstrap data envelopment analysis (DEA) approach is used for measuring efficiency and analysing firms' differences based on their geographical location, organisational structures, urban-rural location and sub-industrial groups. A second stage regression examines efficiency determinants using size, age, skill and capital-labour intensity as the explanatory variables. Efficiency result shows a significant potential of minimising inputs by 47% provided the firms adopt best practices. West Bengal firms, urban located firms, individual and proprietorship owned firms and leather consumer goods firms are found to be relatively efficient to their counterparts. Size, skilled managerial staff and labour-intensive firms positively affect efficiency. Construction of well-connected roads for accessing urban retail markets and provision of reliable electricity would improve efficiency of rural firms. Small-scale enterprises have a larger share in Indian leather industry; therefore, policy should focus on enhancing the firms' scale and investing in training facilities to skill employed labour for ensuring optimal use of inputs. Previous studies on the leather industry have used the conventional DEA efficiency measurement approach. This study uses DEA bootstrapping model for robust efficiency estimates and provides consistent inferences about the determinants.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-02
      DOI: 10.1108/BIJ-04-2021-0178
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A national framework for promoting business excellence (NFPBE)

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      Authors: Stanislaus Lobo , Premaratne Samaranayake , Kenan M. Matawie
      Abstract: The purpose of this paper is to propose a national framework for promoting business excellence (NFPBE) using a quality management assessment framework (QMAF) with information knowledge communication (IKC) as an enabler. The NFPBE using the plan–do–check–act (PDCA) cycle is developed, re-enforcing key quality management aspects/areas including national quality awards, QMAF summary and national innovation programmes using a meta-analysis. The operationalising of the NFPBE is enabled and supported by an auditing tool to assess the degree of mentoring provided by universities/research institutions/consulting firms to participating firms whose progress will be assessed by the QMAF. It was emphasised that the success of the framework requires the buy-in of national governments to support the programme through stimulus incentives such as government assistance with the costs of research and development, and cooperative research ventures between universities and companies. The framework is conceptualised into a process flowchart, which is a blueprint to advancing business excellence in organisations at a national scale. The study is limited to only the conceptualisation of the framework. Therefore, an extended study of the framework implementation/application is required for revealing implementation guidelines. The national framework has a propensity to enhancing the business excellence of organisations at a national level. Therefore, quality managers and policy makers could use the framework to understand the quality management shortfalls and consider strategies to achieving business excellence. This research study proposed a blueprint to advancing quality excellence in organisations at a national level, guided by several quality frameworks.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-12-02
      DOI: 10.1108/BIJ-04-2021-0231
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Understanding dynamic distribution capabilities to enhance supply chain
           performance: a dynamic capability view

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      Authors: Syeda Wajiha Kazmi , Waqar Ahmed
      Abstract: The purpose of this paper is to evaluate and understand the factors that contribute to the enhancement in the process of supply chain activities, specifically among manufacturing industries. This paper follows the quantitative approach by disseminating a structured questionnaire to supply chain practitioners working in manufacturing industries. A sample of 109 responses is gathered from senior employees involved in sales and operations planning. Exploratory and confirmatory factor analyses are performed to evaluate the reliability and validity of the model. Lastly, SmartPLS is used to test the hypotheses proposed in the study. The findings revealed that demand sensing and managing practices positively impact supply chain performance by creating dynamic distribution capabilities. It is observed that distribution capabilities integrate both efficient and effective handling of resources. However, demand management practice has insignificant relationship with supply chain performance. The authors suggest that supply chain management must expand in firms, and importance must be given as supply chain performance can provide competitive advantage in order to sustain in today's competitive market. The findings can help decision-makers working in the planning process by identifying the right tools to sense the market and react accordingly. This paper is an initial effort to understand the dynamic distribution capabilities by establishing the link with the studied variables, especially in the manufacturing industries in Pakistan.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-30
      DOI: 10.1108/BIJ-03-2021-0135
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Basic Health Units services quality assessment through Kano and SERVQUAL
           models

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      Authors: Anderson Barbosa Lacerda , Augusto Sérgio da Silva Souza , Glycia Keylla Lucia Da Silva , Eduardo H. Malheiros De Azevedo , Fagner José Coutinho De Melo
      Abstract: The present research aims to evaluate the quality of services provided by the Basic Health Units (UBS) of the Unified Health System (SUS) located in the city of Recife, in the state of Pernambuco, Brazil, using the Kano model integrated with the dimensions of quality proposed by the service quality (SERVQUAL) model. The research was classified as bibliographic, descriptive, quantitative and surveyable. A structured questionnaire based on the Kano Model integrated with the dimensions of quality proposed by the SERVQUAL model, applied online through Google Forms. The questionnaires were distributed on social networks, obtaining a non-probabilistic sample of 120 individuals, collected for convenience. Through the analysis of the Kano Model, it was possible to observe that all the investigated attributes are classified as one-dimensional. Among the attributes that deserve to be highlighted are attributes “Clean and pleasant environment”, “Reliability and security of information”, “Knowledge of employees to perform services”, “Service performed in the promised time”, “Polite and kind staff in dealing with users” and “Effectiveness of the service provided” due to having the longest intervals when considering the satisfaction and dissatisfaction coefficients, above 1.575. These attributes must be considered as critical priorities when implementing improvements, since their presence considerably increases users' satisfaction, as well as their absence generates great dissatisfaction. The research is original and justified by the potential use of a quality assessment tool in the public health service, especially primary care. It is noteworthy that there are few works that integrate the Kano and SERVQUAL models applied in the public health service and that this integration can contribute to the national and international literature, mainly in the identification and prioritization of areas for improvement.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-30
      DOI: 10.1108/BIJ-06-2021-0351
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Measuring the performance of the Indian banking industry: data envelopment
           window analysis approach

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      Authors: Shakeb Akhtar , Mahfooz Alam , Mohd Shamim Ansari
      Abstract: This study aims to empirically evaluate the performance of commercial banks operating in India. The efficiency of the commercial banks is evaluated using the data envelopment analysis (DEA) approach. We measure the technical, pure technical and scale efficiency of the sampled conventional banks using the input-oriented model. We employed an extended DEA window analysis approach based on a panel sample of 47 banks in the Indian scenario. The period of study is from 2009 to 2018. The results obtained from CRS and VRS measures envisage that Indian banks have failed to manage their inputs efficiently and convert them into outputs. It implies that Indian banks do not operate at an optimum level. Moreover, the results show that public banks exhibit superior efficiency scores followed by private and foreign banks. Apart from the aggregate sector level, we also investigate the performance of Indian banks at the individual level for in-depth analysis. The individual bank-level analysis reports that the public sector banks (PSBs) are the most efficient followed by foreign banks, whereas, the least efficient are the private banks. The findings of our study have implications for government, financial institutions and policymakers to access the verve and flexibility of the Indian banking system. The government should consider restructuring inefficient banks to enhance overall performance. This can be considered by improvement in managerial efficiency, efficient allocation of scarce resources and appropriate scale of operation. However, the findings of the study should be interpreted in light of the period of study for the banks being operational (as we filter out banks that ceased to exist) in India and empirical methods employed. The results may vary if alternative measures are used. The present paper investigates the efficiency of the Indian banking sector employing the Data Envelopment Window Analysis (DEWA) technique. To the best of our knowledge, the present study is perhaps the first one to employ the DEWA measure on the Indian banking industry to gauge their performance over time.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-26
      DOI: 10.1108/BIJ-03-2021-0115
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Designing platform ecosystems for collaboration, innovation and growth

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      Authors: Ajay Kumar Singal
      Abstract: This paper explores the design dimensions that foster identity construction, legitimation, and growth of digitally mediated platform ecosystems. A midrange theorizing approach was adopted to assimilate and induct the extant literature on ecosystems, platform business models and innovation, yielding testable propositions on ecosystem design for empirical testing. The paper suggests that decentralized governance, partner engagement and shared context are three dimensions of criticality for designing a distinct platform ecosystem. These design dimensions nurture interactions, transactions, relationships between platform participants and external actors to make ecosystems authentic and legitimate. Decentralization is relevant for inducing flexibility and autonomy of participants on the platform. Engagement impacts the intensity of relationships the platform has with other firms in the ecosystem, while shared context is essential for creating knowledge and harnessing innovation on the platform. The paper identifies a set of three testable propositions on ecosystem design for further empirical analysis by ecosystem researchers. To achieve future readiness, organizations must become resilient to the market environment. With that intent, traditional businesses are revising their operating models to become more collaborative, integrative and efficient. Adoption of digital initiatives for redesigning towards platform ecosystems will make traditional models more relevant as markets evolve. But as a new organization form, platform ecosystem faces the challenge of legitimacy. Author suggests that managers use the organization design lever to meet the challenge. Emergence of platform-based businesses and transformation of existing models to platform ecosystems are impacting today's competitive environment. During initial phases of evolution, ecosystems aim for identity and legitimacy. The authors contribute to organizational aspects of the platform ecosystem design literature by identifying decentralization of governance, engagement and shared context as dimensions of criticality for future-ready platforms. Secondly, these dimensions are associated with identity and legitimation of platform ecosystems. Decentralization is relevant for supply-side producers of goods and services on the platform, engagement has impact on both supply and demand-side participants of platforms, and shared context is essential for knowledge creation and harnessing innovation.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-26
      DOI: 10.1108/BIJ-12-2020-0619
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The first two decades of Circular Economy in the 21st century: a
           bibliographic review

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      Authors: João Francisco Pinto Anaruma , Jorge Henrique Caldeira de Oliveira , Francisco Anaruma Filho , Wesley Ricardo de Souza Freitas , Adriano Alves Teixeira
      Abstract: The purpose of this paper is to analyze and map the main areas of the Circular Economy literature of the first two decades of 21st century, offering a broad vision about the growth of the theme during these years. The research was divided into two stages: the first was a systematic review of literature and the second consisted on generation and analysis of bibliographic maps. The publication indicates the prominence of China and European Union countries in the production of articles about Circular Economy. Furthermore, the topic is restricted to academic area, and that research on Circular Economy is still very focused on theory studies, even with exponential growth in the number of published articles about the theme since 2015. Finally, it also provides a collection of information as the principal authors, the most cited publications, citations, co-citations and countries that have most published beyond which are the most discussed topics. A possible limitation of the research is that it was performed only in the Scopus database. It may be suggested as future searches that other databases are included as well, and another suggestion is to reduce the time period between research samples due to the exponential increase in the number of publications and topics discussed lately. The results of this paper can guide future researches about the development of Circular Economy during the next decades or years and serve as a facilitator for researchers and for managers that want to know more about the topic. A mapping of the principal players and main discussions about Circular Economy made in the first two decades of the 21st century and an analysis about the growth and changes about the theme.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-25
      DOI: 10.1108/BIJ-01-2021-0029
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Lessons learned from quality management system ISO 9001:2015
           certification: practices and barrier identification from Brazilian
           industrial companies

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      Authors: Luís César Ferreira Motta Barbosa , Otávio José de Oliveira , Marcio Cardoso Machado , Ana Clara Tomaz Morais , Patrícia Maria Bozola , Manuel Gilberto Freitas Santos
      Abstract: This study used a qualitative approach on five case studies in Brazilian industrial companies. The research used interviews, document analysis and on-site visits to collect and analyze data. The companies were selected based on the following criteria: operating in the industrial sector, updating their quality management system (QMS) process to ISO 9001: 2015 and agreeing to participate in this study. This article aims to investigate the strategies of industrial companies adopted for ISO-9001:2015 certification in light of the six major advances concerning the previous version. Thus, QMS of other organizations can incorporate identified lessons learned, whether certified or not. The main finding of the research is the systematization of a set of lessons learned in the experiences of implementing the six significant advances of ISO 9001 concerning the previous version by industrial companies in the State of São Paulo in Brazil. These lessons can and should be used by other organizations to improve their QMSs. The practices identified in this empirical research can serve as benchmarking to assist quality managers from other companies in QMS certification based on ISO 9001: 2015 or even those not certified but interested in updating their QMSs. Therefore, lessons learned can significantly minimize efforts to improve your projects, processes, products and services. These findings can also help industrial companies improve their production efficiency and effectiveness through quality improvement. The main novelty of the research is the consolidation of theoretical and practical analysis of the main changes in the latest version of the ISO 9001 standards. The efforts to fulfill those changes result in lessons learned. The “lessons learned” will form a new block of knowledge that will subsidize theoretical (new research) and practical (formulation of a new ISO 9001 standard and helps quality managers improve their systems).
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-24
      DOI: 10.1108/BIJ-07-2021-0382
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Supply chain integration and economic performance: empirical evidence from
           a developing country

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      Authors: Minh Hue Nguyen , Anh Chi Phan , Yoshiki Matsui
      Abstract: This study seeks to investigate the impact of supply chain integration (SCI) practices on economic performance in Vietnamese enterprises. Based on data collected from 144 Vietnamese enterprises, this study employs partial least squares path modeling to analyze the direct and indirect relationships among external integration, information integration, process integration and economic performance. Analytical results indicate that of the three SCI practices, external integration has a significant and positive impact on economic performance. Process integration and information integration, on the one hand, reveal insignificant direct impact on economic performance, and on the other, show significant indirect effect on economic performance through external integration. This study sheds new light on the contribution of SCI to economic performance in developing economies and offers suggestions for not only local management but also foreign investors on the efficient allocation of resources to achieve higher economic performance.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-23
      DOI: 10.1108/BIJ-01-2021-0004
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Insights from systematic literature review of supply chain resilience and
           disruption

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      Authors: Nishant Agrawal , Rajesh Kumar Jain
      Abstract: The study of supply chain disruption (SCD) and supply chain resilience (SCR) remains to be studied deeply in the field of business management. The purpose of this paper is to showcase a framework of SCR strategies to reduce the adverse effects of SCD using systematic literature review and data visualization. Using a systematic literature review approach, the paper explores the concepts of supply chain disruption and supply chain resilience. Through rigorous systematic screening, authors studied papers on both the concepts and have proposed a framework for the same. The authors also have used data visualization and network diagram approaches for better understanding of the topic. The systematic literature review of both the concepts brings out some exciting results which give a new direction to supply chain field. The outcome of this research also outlines numerous future research direction, which will be useful for the research community. The numerous strategies of SCR should be implemented by manufacturing as well as a service organization. The framework reported in this research help academician and practitioners to understand SCR and to easily overcome any level of disruption. Supply chain managers must also formulate strategies accordingly and make plans to continually expand the system. This research is the first such attempt to showcase a formal systematic framework and co-occurrence networks as well as overlay networks of SCR and SCD.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-23
      DOI: 10.1108/BIJ-02-2021-0084
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The dark shadow of corruption on new product development

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      Authors: Saikat Banerjee
      Abstract: The study examines the effects of corruption activities on new product development of firms. The roles of senior managers in the relationship between corruption activities and new product development are also studies. The data of Indian firms are collected from the Enterprise Survey conducted by World Bank in 2014. Variables on corruption, new product development, and other firm level factors are considered in the study. Logistic regression is used to examine the effect of firm's engagement in corruption activities on new product development. Corruption activities of firms is negatively related to new product development. Senior manager's industry experience and engagement in regulatory activities weaken the negative relationship between firm's engagement in corruption activities and new products development. With the increased focus on innovation, organizational managers have to work on the development of new products, and understanding of the negative relationship between engagement in corruption activities and new product development will help them to achieve the desired organizational goals. The study contributes in three ways. Firstly, the paper extends the theoretical understanding of the implication of a non-market strategy, corruption on new product development. Secondly, the study contributes to the existing literature on the antecedents of new product development. Finally, the roles of senior managers helps to understand the importance of their industry and regulatory experience in the main relationship.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-22
      DOI: 10.1108/BIJ-04-2021-0234
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Systematic review of manufacturing strategy studies focusing on congruence
           aspect

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      Authors: Vishwas Dohale , Milind M. Akarte , Priyanka Verma
      Abstract: This study provides a systematic review of the literature within the manufacturing strategy (MS) domain focusing on the congruence aspect of different strategic functions to determine the state-of-the-art research progression and the trend of publications. We have adopted a five-stage review methodology consisting - 1) Article Identification; 2) Inclusion/Exclusion; 3) Review of the Articles; 4) Literature Analysis; 5) Future research directions. 121 articles focusing on congruence aspects and specific to the MS domain are identified and reviewed. Bibliometric analysis comprising keyword co-occurrence using a VOSviewer© software, and citation analysis is performed. Further, content analysis is carried out to categorize articles based on the type of research methodology, type of tool/method used, and aspects considered for congruence study. Based on the research gaps identified in the existing literature on the congruence aspect within the MS domain, this study offers future research directions. Majorly, the work found is an empirical survey. Literature scants to develop a framework that helps to quantify the congruence between two strategic functions. This study facilitates researchers and practitioners to understand the congruence between different strategic aspects studied in the literature and the level of fit between them. Further, the identified research directions can encourage researchers and practitioners to conceive novel approaches to conduct future works on congruence theme. The unicity of the current review lies in its theme, i.e. congruence aspect within MS. To the best of author's knowledge, no comparable study is observed to review the congruence aspect in any other domain.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-19
      DOI: 10.1108/BIJ-02-2021-0103
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • COVID-19 operational disruption and SMEs' performance: the moderating role
           of disruption orientation and government support

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      Authors: Mahmoud Ahmad Mahmoud , Ahmed Mahmoud , Shamsu Lawan Abubakar , Abubakar Salisu Garba , Bashir Ahmad Daneji
      Abstract: Despite the growing unforeseen and catastrophic events that disrupt business operations, empirical studies on the impact of operational disruption (OD) on small and medium enterprises' (SMEs) performance dimensions are limited. The study aims to investigate the moderating effect of disruption orientation (DO) and government support (GS) on the relationship between coronavirus disease (COVID-19) OD and SMEs' performance. Quantitative survey method was used to collect data from 170 SMEs in Nigeria, through hand-delivery questionnaires. Partial least square (PLS) structural equation modeling (SEM) was employed to analyze the data. The result shows no significant relationship between COVID-19 OD, DO and GS with SMEs' financial performance (FP). However, the relationship between COVID-19 OD and non-financial performance (NFP) is negatively significant. The relationship between DO and NFP is positively significant. DO and GS have insignificant relationship with FP. Finally, DO and GS does not moderate any of the relationships between COVID-19 OD and the dimensions of SMEs' performance. The result implies that health-related disruptions such as COVID-19 affect only the NFP of SMEs. However, supply chain managers and SMEs are encouraged to adopt DO to enhance NFP of firms. The current study is the first to evaluate the impact of health-related disruptions on the two major dimensions of SMEs' performance (FP and NFP) by incorporating the moderating role of internal (DO) and external (GS) factors in to a single framework. However, the paper revealed new theoretical and practical knowledge by illuminating the absence of significant relationship between COVID-19 OD and SMEs' FP, implying that COVID-19 disruption does not significantly affect SMEs' FP.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-19
      DOI: 10.1108/BIJ-03-2021-0131
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • International mobile marketing: a satisfactory concept for companies and
           users in times of pandemic

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      Authors: Lázaro Florido-Benítez
      Abstract: This study’s purpose is to analyze the international mobile marketing (IMK) in order to stage the importance of this tool in the internationalization of companies. Our understanding of mobile marketing is constantly evolving, due to its high business penetration in a world globalized by technologies. A review of the relevant literature on IMK, companies and customers is undertaken to understand the link between them. The paper begins by explaining the coronavirus disease 2019 is accelerating the change of the rules of the game in traditional and online commerce around the world. Furthermore, this study uses secondary data from organisation for economic co-operation and development (OECD), Sensor Tower, mobile marketing association (MMA), App Annie, among others, to support research results. The results have shown that IMK has opened a melting pot of opportunities for companies and consumers in this period of pandemic; the potential of this tool is being redefined, in order to identify, anticipate and satisfy customers requirement profitably and efficiently. This study aims to provide an assessment of new concept of IMK and how this tool has to be integrated into the firm’s digital marketing strategies. The study contributes to make better future decisions in the international digital expansion of companies by company executives and marketing experts. This paper provides a comprehensive framework intended to guide research efforts focusing on digital marketing as well as to aid practitioners in their quest to achieve IMK success.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-19
      DOI: 10.1108/BIJ-06-2021-0303
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Modelling the barriers of weather index insurance service adoption
           integrating expert mining and ISM Fuzzy-MICMAC

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      Authors: Pankaj Singh , Gaurav Agrawal
      Abstract: The purpose of this study is to explore and prioritize the barriers that affect weather index-insurance (WII) adoption among customers by utilizing interpretive structural modelling (ISM) and fuzzy-MICMAC. This paper utilized the combined approach in two phases. In first phase comprehensive literature study and expert mining method have been performed to identify and validate WII adoption barriers. In second phase, ISM has been utilized to examine the direct relationships among WII adoption barriers in order to develop a structural model. Further, fuzzy-MICMAC method has been utilized to analyse indirect relationships among barriers to explore dependence and driver power. This study has identified 15 key barriers of WII adoption among customers and developed a structural model based on binary direct relationship using ISM. Later, the outcomes of ISM model have been utilized for analysing the dependence and driver power of each WII adoption barriers in cluster form using fuzzy-MICMAC. The customer awareness related WII adoption barrier are mainly at the top level, WII demand related barriers are in the centre and WII supply related barriers at the bottom level in ISM model. The findings offered important insights for WII insurers to understand mutual relationships amongst WII adoption barriers and assists in developing strategy to eliminate dominant key barriers in order to enhance their customer base. Based on best of author's knowledge this paper firstly integrates the ISM fuzzy-MICMAC method into identification and prioritization of barriers that affects WII adoption among customers.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-16
      DOI: 10.1108/BIJ-04-2021-0183
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Supply chain resilience and business responses to disruptions of the
           COVID-19 pandemic

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      Authors: Usha Ramanathan , Olu Aluko , Ramakrishnan Ramanathan
      Abstract: At its peak, the COVID-19 pandemic has created disruption to food supply chains in the UK and for the entire world. Although societal changes created some resilience within the supply chains, high volatility in demand creates supply, logistics and distribution issues. This is reflected in the economic instability of businesses and small and medium enterprises (SMEs). In this paper, the authors explore factors behind this initial disruption in the supply chains and offer suggestions to businesses based on the established practices and theories. The authors use mixed methods research. First, the authors conducted an exploratory study by collecting data from published online sources. Then, the authors analysed possible scenarios from the available information using regression. The authors then conducted two interviews with UK retail sector representatives. These scenarios have been compared and contrasted to provide decision-making points to businesses and supply chain players to tackle current and any future potential disruptions. The findings from the current exploratory study inform the volatility of supply chains. The authors suggested some possible responses from businesses, during and after the pandemic. The regression model provides a decision-making approach to help supply chain businesses during the pandemic outbreak. Once a complete data set of COVID-19 is available, the authors can create a resilience model that can help businesses and supply chains.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-11
      DOI: 10.1108/BIJ-01-2021-0023
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Measuring paper industry's ecological performance in an imprecise and
           vague scenario: a fuzzy DEA-based analytical framework

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      Authors: Sunil Kumar Jauhar , Natthan Singh , A. Rajeev , Millie Pant
      Abstract: Productivity improvement is key to sustainability performance improvements of organizations. In a real-world scenario, the nature of inputs and outputs is likely to be imprecise and vague, leading to complexity in comparing firms' efficiency measurements. Implementation of fuzzy-logic based measurement systems is a method for dealing with such cases. This paper presents a fuzzy weight objective function to solve Data Envelopment Analysis (DEA) CCR model for measuring paper mills' performance in India for 15 years. An integrated methodology is proposed to solve DEA models having fuzzy weights. The fuzzy DEA methodology is an extended version of the DEA approach that researchers have used for performance measurement purposes in imprecise and vague scenarios. The ecological performance of the paper industry is evaluated, considering some desirable and undesirable outputs. The effect of non-discretionary input on the performance of a paper mill is also analyzed. Analysis suggests that the productivity of the paper industry is improving consistently throughout the period. The comparative evaluation of methods suggests that a diverse cluster of DMUs and integration of DEA with the fuzzy logic increases the diversity in the efficiency score while DEA-DE imitates the results of CCR DEA. Proposed a fuzzy DEA-based analytical framework for measuring the paper industry's ecological performance in an imprecise and vague scenario. The model is tested on data from the paper industry in a developing country context and comparative performance analysis using DEA, fuzzy DEA and DE algorithm is done.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-11
      DOI: 10.1108/BIJ-06-2021-0319
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • What drives employee's involvement in corporate volunteering' Bright
           and dark side of consequences to organization

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      Authors: Srinivasan Sekar
      Abstract: This study assesses the relevance of both individual and contextual factors as an antecedent to employee participation in corporate volunteering (CV) activities and affective organizational commitment and inter-role conflict as an outcome of employee volunteering. This study draws from the functional theory of motivation, social exchange theory and role strain perspective to explain hypothesized relationship of the study constructs. A questionnaire survey was administered with 461 employee volunteers who had participated in company-sponsored volunteering programs. The authors adopted structural equation modeling (SEM) to test the study hypotheses. The findings from the survey suggest that altruistic motives and organization CV capability will impact employee's participation in CV. The results highlight that employee participation in CV enhances affective organizational commitment, indicating that employee volunteering creates inter-role conflict. Though the study has identified inter-role conflict as a potentially unfavorable outcome, exploring when and how employee volunteering will create a negative effect will add significant value to organizations to protect the interest of their employees. This study provides insights to understand the relative effects of self- and other-oriented motives. The results suggest that organizations have more directed and carefully designed employee volunteering activities to enable more favorable benefits to employees. This study contributes to expanding the knowledge on the phenomenon of employee volunteering by introducing and empirically validating an integrated framework of antecedents and consequences of employee volunteering.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-09
      DOI: 10.1108/BIJ-02-2021-0074
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Modelling the role of social media usage in improving users well-being: a
           social enhancement model perspective

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      Authors: Rahul Bodhi , Tripti Singh , Yatish Joshi
      Abstract: Employees have gradually adopted social media sites and their applications that have been associated with enhanced communication and collaboration at the workplace. However, social technologies have both positive as well as negative consequences. The current study examines the impact of loneliness on employees' psychological well-being (PW); subsequently, the mediating role of social media use intensity (SMI) at the workplace. It also examines the moderating role of gender and management status of employees. The present study conducted an online and offline survey using a cross-sectional design. Data were collected from 206 working professionals from the IT industry in India. Structural equation modelling was applied to analyse data. Results revealed that employee loneliness is positively associated with SMI. Employee's SMI was positively associated with enhanced PW. Unexpectedly, employee loneliness is positively and significantly related to PW. However, the moderating roles of gender and management status of employees were not supported. The current study can help managers, policymakers and organizations better understand the role of employee social media use in the workplace. Using the insights and understanding offered by the study, social media can be effectively utilized in the workplace. The study recommends that organizations may allow the use of social media at the workplace. Social media resources may also be helpful in improving employee communication and digital literacy. The current study is a pioneer work and contributes to the literature by examining the relationship between loneliness, SMI and PW. This study has essential theoretical and managerial contributions.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-09
      DOI: 10.1108/BIJ-03-2021-0152
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Modelling interrelationships of quality management, information technology
           and entrepreneurial culture and their impact on performance from Indian IT
           enabled service SMEs

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      Authors: Rana Basu , Prabha Bhola
      Abstract: This paper attempts to empirically model and analyse interrelationships of quality management (QM), information technology (IT) and entrepreneurial culture (EC) with its impact on performance of Indian IT enabled service small and medium size enterprises (SMEs). More specifically, this paper aims to investigate the proposed model which is validated by analysing both direct and indirect paths by deploying higher order structural modelling. A quantitative approach has been followed by deploying cross-sectional research design. Structured questionnaires were distributed personally and by e-mail to around 1,380 service SMEs. The approach follows empirical testing and analyses of hypothesized paths of the proposed research model which is validated with confirmatory factor analysis (CFA) using maximum likelihood estimation. This study also identifies and tests the mediation effect of higher order constructs. The findings demonstrate poor manifestation of entrepreneurial and market-oriented activities and confirm the mediation effect of IT and QM in the relationships of QM→EC along with IT→performance paths, respectively. Results indicate that IT and QM are complementary resource factors which signifies symbiotic relationships between them. Analyses highlights the significance of QM as a mediator in enhancing performance outcome through IT benefits and the effect of inculcation of EC by enterprises on their performance in today's vibrant and uncertain environment. This study highlights major key areas of the decision-making process for SMEs’ owner and operations manager to overcome identified challenges like instituting collaboration with external business firms for learning, sharing risks and diversifying innovation capacity for managing capabilities of firms to earn sustainable profit margins. The outcome of this study would help operations manager, decision makers and entrepreneurs to redesign their business processes and entrepreneurial strategies by deploying operational intelligence in order to ensure agility and smooth flow within the firms. This would facilitate and help SMEs to cut down costs and redundancies in the process which would improve productivity and performance excellence. The novelty of this study is based on development and empirical validation of the proposed research model which depicts how service SMEs could generate value with influence/effect of contextual factors on the QM–performance relationship. Findings of this study make significant contribution to the body of knowledge with new insights by highlighting the niche area in terms of interlinkages pertaining to quality management, IT and EC explicitly in Indian SMEs’ context.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-09
      DOI: 10.1108/BIJ-07-2021-0392
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The drivers of employee creativity and organizational innovation: a
           dynamic capability view

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      Authors: Akriti Chaubey , Chandan Kumar Sahoo
      Abstract: This paper aims to examine the drivers of employee creativity and organizational innovation empirically. And to study how employee creativity significantly impacts organizational innovation in a highly competitive market. This study is grounded in positivism philosophy. The theoretical model is grounded in the dynamic capability view (DCV) and further developed ten hypotheses and sub-hypotheses. To test our research hypotheses the authors utilized psychometric-based instruments. The authors obtained 575 responses from the automobile industry in India after multiple follow-ups. The data were utilized to check the construct validity and tested the authors’ research hypotheses using the co-variance-based structural equation modeling (SEM) tool (IBM SPSS AMOS 20.0). The results support the authors’ research hypotheses. The findings of this study conform to the previous findings of the scholars which is an important aspect of the study. In the past various scholars have made an attempt to reproduce the results in different contexts. In a way, it helps to build confidence in the scientific merit of the results. It may be considered as an incremental contribution to the literature but it helps establish confidence in the theory of creativity and innovation. The results offer a nuanced understanding to the practitioners and policy makers to understand “what” and “how” to improve employee creativity that plays a significant role in organizational innovation. This study is an attempt to examine how the theory of creativity and innovation can be embraced by the Indian automobile industry.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-04
      DOI: 10.1108/BIJ-06-2021-0316
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Benchmarking the assessment of barriers to the admission of management
           education in India during the COVID-19 pandemic

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      Authors: Pradeep Kumar Tarei , Santosh Kumar
      Abstract: This paper proposes a decision-making framework for assessing various dimensions and barriers that have affected the admission process in management educational institutions during the ongoing pandemic. The framework considers the interrelationship between the obstacles and highlights the importance of each barrier. An integrated method based on decision-making trial and evaluation laboratory and analytical network process is proposed to structure the barrier assessment framework. Results obtained from the study are validated by comparing them against the conventional analytical hierarchy process. The results obtained from this study indicate four significant dimensions that hinder admission in Indian management institutes, namely, governmental, financial, sectoral, institutional and market. The top five barriers are demand shift towards technical (alternative) skills, acceptance of the graduated students, lack of industry–institute collaboration, lack of long-term vision and opening new Indian Institute of Technologies (IITs) and Indian Institute of Managements (IIMs). During this ongoing pandemic, many educational institutes have been forced to shift from the traditional classroom to a virtual teaching model. In this regard, this study helps identify and assess the barriers to admission in Indian management institutes during this epidemic and thus, contribute to the literature. The findings will assist all stakeholders and policymakers of management institutions design and develop appropriate managerial strategies. The study is conducted in the Indian management educational institute context and can be extended to technical education institutions for deeper insights. The paper develops an assessment framework for analysing the barriers to admission in Indian management institutes during the ongoing COVID-19 pandemic. Research implications are discussed in the context of a developing country.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-11-01
      DOI: 10.1108/BIJ-04-2021-0215
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Understanding big data-driven supply chain and performance measures for
           customer satisfaction

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      Authors: Ramadas Thekkoote
      Abstract: Supply chain analytics with big data capability are now growing to the next frontier in transforming the supply chain. However, very few studies have identified its different dimensions and overall effects on supply chain performance measures and customer satisfaction. The aim of this paper to design the data-driven supply chain model to evaluate the impact on supply chain performance and customer satisfaction. This research uses the resource-based view, emerging literature on big data, supply chain performance measures and customer satisfaction theory to develop the big data-driven supply chain (BDDSC) model. The model tested using questionnaire data collected from supply chain managers and supply chain analysts. To prove the research model, the study uses the structural equation modeling technique. The results of the study identify the supply chain performance measures (integration, innovation, flexibility, efficiency, quality and market performance) and customer satisfaction (cost, flexibility, quality and delivery) positively associated with the BDDSC model. This paper fills the significant gap in the BDDSC on the different dimensions of supply chain performance measures and their impacts on customer satisfaction.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-10-29
      DOI: 10.1108/BIJ-01-2021-0034
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Quality intervention, supplier performance and buyer–supplier
           relationships: evidence from the garment industry

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      Authors: Imranul Hoque , Miguel Malek Maalouf
      Abstract: This study investigates the impact of a buyer-assisted quality intervention on suppliers' quality performance and buyer–supplier relational dynamics in the garment industry. This study employed a multiple-embedded case study following a qualitative research approach. The study used data from buyer-assisted quality interventions in sewing lines of four garment supplier factories. Qualitative data were collected through semi-structured interviews of buyer's representatives at their office and senior managers, line inspectors, supervisors and workers in supplier factories. In addition, data related to product quality was obtained from quality check sheets and observations on the shop floor. Data were analysed using qualitative data analysis techniques. This study demonstrates that a buyer-assisted quality intervention improves product quality performance by reducing quality defects in targeted garment products resulting in improved buyer–supplier relationships. Moreover, this study identifies the lack of a systematic approach in quality control as a key reason for poor product quality. The study adds knowledge to the literature on quality improvement and buyer–supplier relationships by analysing buyer-assisted quality interventions in the garment industry in Bangladesh. The study demonstrates that buyer's assistance and adopting a systematic approach in quality control can significantly improve product quality in the garment industry. This research can help the quality assurance managers in buyer and supplier firms understand the significance of quality interventions and systematic quality control approach to decrease product quality defects and ensure smooth buyer–supplier relationships. The study adds new knowledge on the link between buyer-assisted quality interventions, systematic quality control and product quality in garments factories in Bangladesh.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-10-28
      DOI: 10.1108/BIJ-02-2021-0075
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The role of predictive analytics to explain the employability of
           management graduates

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      Authors: Ramakrishnan Raman , Dhanya Pramod
      Abstract: In India, one of the prime focuses of a post-graduate management program is to prepare students and make them job-ready. Masters in Business Management (MBA) program helps students to imbibe theoretical and practical skills which are required by the industry, which can make them hit the ground running from the day they start their career. Many students (almost 40–50%) get pre-placement offers based on their performance in summer internship. The selection for summer interns by the corporate happens within a few months of the student joining the MBA program. Signaling theory in education indicates that the level of productivity of an individual is independent of education, but the educational qualification acts as a testimony for higher ability. However, this theory does not explain the reason for the mismatch between “education and work” or “education and the disparity in salary” between individuals who earn differently but have the same qualification. The paper aims to explore three attributes namely – “employability”– the chance of being employable; “pre-placement offers” – the chance of securing a job offer based on the performance in internship and “salary” – the chance of bagging a good job offer with a high salary. The authors have used longitudinal data consisting of 1,202 students who graduated from reputable business schools (B-Schools) in India. In the study, the authors have used predictive analytics on six years data set that have been gathered. The authors have considered 24 attributes including educational background at the graduate level (BE, B Tech, B Com, BSc, BBA and others), score secured in class ten (high, medium and low), score secured in class twelve (high, medium and low), score secured in graduation (high, medium and low), competency in soft skills (high, medium and low), participation in co-curricular activities (high, medium and low) and social engagement status (high, medium and low). The findings of the study contradict the signaling theory in education. The findings suggest that the educational qualification alone cannot be the predictor of the employability and the salary offered to the student. The authors note that the better performance at a lower level of qualification (class 12) is the strong predictor in comparison to the student performance at their graduation and post-graduation level. The authors further observed at the post-graduate management education level that soft skills and participation in co-curricular activities are the major deciding factors to predict employability and pre-placement job opportunity and marks secured in class 12 is one more factor that gets added to this list to predict salary. The paper can immensely help management graduates to focus on key aspects that can help to hone appropriate skills and also can help management institutions to select the right students for management programs. The analysis and the predictive model may apply to Indian B-Schools wherein the quality of students are almost the same or better. Predictive analytics has been used to explain the employability of management graduates alone and not any other. The authors' study might be useful for those students who often fail to understand “what” skills are the most important predictors of their performance in the pre-placement and final-placement interviews. Moreover, the study may serve as a useful guide to those organizations that often face dilemmas to understand “how” to select an ideal candidate for the particular job profile from a campus. The authors believe that the current study is one of the few studies that have attempted to examine the employability of management graduates using predictive analytics. The study further contradicts that the signaling theory in education does not help better explain the employability of the students in extremely high-paced business environments.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-10-28
      DOI: 10.1108/BIJ-08-2021-0444
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A preliminary investigation into senior management skills: the context of
           third-party logistics (3PLs) providers

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      Authors: James Midgley , Ozlem Bak
      Abstract: The third-party logistics (3PL) provider has faced significant change since containerisation with the broadening scope of supply chains and technological developments. With these changes, the required supply chain skills discussions have covered mostly graduate skills or employees' skills with a limited discussion to what extent and whether senior management skills were changing. Hence, 3PL senior management skill requirements will be compiled based on existing studies and assessed to check whether these are still relevant and if so to what extent for today's 3PL senior managers. A questionnaire has been devised based on 3PL senior management skills identified in the academic literature and sent out to senior managers via professional social networks of 3PL. Based on the previous literature, the senior managers selected had to fulfil the selection criteria of a minimum five years' managerial experience in a 3PL, and a minimum of ten years' experience in general, which limited the sample size to twenty-seven senior managers in the 3PL sector. The findings indicated that 3PL senior managers’ skills highlighted an increasing dependence on and importance of relational and behavioural skills, particularly when compared with the more traditional functional and managerial skills. The study indicated that the 3PL senior managers highlighted an increasing dependence and importance upon relational and behavioural skills, particularly when compared with the more traditional functional skills. The study has explored the senior management skills in 3PL in the UK, albeit the respondents possessing diverse backgrounds. Therefore, it would be beneficial to test whether these findings are exemplary across the wider 3PL sector, not only in the UK but also across Europe to see how corporate agenda for executive supply chain skills could be devised. Corporate supply chain training and development staff can develop specific programs based on the 3PL senior management skill sets especially on relational and behavioural skills, which are needed for future managers as well as up-skill senior managers' skills which are deemed to be most important in the current 3PL market. This paper contributes to the supply chain skills discussion and reports subject relevant challenges for today’s senior management in the 3PL industry. The findings have generated preliminary discussions on whether senior management skills are changing with the broadening scope of supply chains.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-10-27
      DOI: 10.1108/BIJ-02-2021-0072
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Communication performance inherent in the repetitive attributes of
           projects: the case of mass housing projects

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      Authors: Titus Ebenezer Kwofie , Samuel Amos-Abanyie , Frank Fugar , Samuel Owusu Afram , Clinton Ohis Aigbavboa , Emmanuel Owusu Banahene
      Abstract: The perception that the repetitive nature and attributes of mass housing projects (MHPs) induce significant influence on communication among projects teams have persistently been acknowledged without an empirical accentuation. This seemingly untested knowledge tends to limit the predictive accuracy of success and effectiveness of adopted communication style, strategies and models in mass housing particularly due to the incidence of the repetitive attributes. The purpose of this study is to delineate the influence of the repetitive attributes of mass housing projects on communication performance among the project team. Through the use of questionnaire survey and structural equation modelling analysis, a hypothesized model tested evaluated the effects of the repetitive attributes of mass housing on information flow and information composition communication performance. In the case of influence on information flow, it was seen to be substantial whereas that of the information composition was moderate. The findings offer empirical credence to the existing perception and indeed affirm that the repetitive features of MHPs significantly contribute to communication performance related to information flow and information composition among the project team. The implication of these findings is that, practitioners and stakeholders on mass housing are urged to explore bespoke communication methods, medium, strategies and management approaches that fit the MHP attributes and environment to engender managerial and communication efficiencies in the delivery.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-10-27
      DOI: 10.1108/BIJ-03-2021-0144
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The influence of the quality criteria on the quality cost of suppliers in
           SMEs

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      Authors: Ehsan Masoudi , Arash Shahin
      Abstract: After quality costing, most companies do not know how to invest in supplier quality improvement. This study aims to develop a comprehensive model for the effect of supplier quality criteria on supplier quality costs. The independent variable of supplier quality criteria and the dependent variable of supplier quality costs have been identified based on a literature review. Then a model has been developed for the effect of the variables. A questionnaire has been designed and distributed to 158 small and medium enterprises (SMEs) in Jey Industrial Town located in the Isfahan Province. Structural equation modeling and partial least square structural equation modeling (PLS-SEM) have been used for data analysis. Supplier quality criteria influenced supplier quality costs (with a value of 0.711). The results also implied that organizational quality had the highest impact. The appraisal costs and the internal failure costs of purchasing received most of the influence. Also, process quality and consequential costs of failure purchasing had the lowest influencing and influenced values. The findings of this research encourage the managers of SMEs to evaluate and rank the most appropriate quality criteria related to quality costs for selecting a supplier as one of the most fundamental decisions in supply chain management. Appropriate selection of quality criteria influencing quality costs results in reduced quality cost. Quality cost reduction also results in decreased products' fixed prices. Ultimately, the company will have more competitive pricing, and consumers will benefit from such a significant advantage. Studying the influence of supplier quality criteria on supplier quality costs is relatively new in the manufacturing industry. The comprehensiveness of the investigated variables is also another advantage of the proposed model.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-10-27
      DOI: 10.1108/BIJ-05-2021-0238
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A remanufacturing inventory model to control the carbon emission using
           cap-and-trade regulation with the hexagonal fuzzy number

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      Authors: Ritu Arora , Anubhav Pratap Singh , Renu Sharma , Anand Chauhan
      Abstract: The awareness for protecting the environment has resulted in remanufacturing and recycling policies in manufacturing industries. Carbon emission is one of the most important elements affecting the environment. Carbon emission due to production and transportation creates complicated situations for the manufacturing firms by affecting the manufacturer's carbon quota. The ecological consequences posed in a reverse logistic model are the subject of this study. The present study explores the fuzzy model of economic production for both remanufacturing and recycling with uncertain cost parameters under the cap-and-trade rule to control the carbon emission due to different modes of transportation. Due to imprecise cost parameters, the hexagonal fuzzy numbers are set to fuzzify the overall cost, which leads to correct decisions in a more confident way. The result is defuzzified by using graded mean integration. This study offers an explicit condition to control the carbon emission of the manufacturer and reduce the optimum cost. The findings indicate that the collection of used goods that can be remanufactured must be increased. The model is validated numerically. Sensitivity analysis explores the various aspects of different parameters on net cost to accomplish the fuzzy production model. Under fuzzy inference, the research offers a relevant contribution in the field of recycling with controlling carbon emission by using the cap-and-trade policy. This study provides a trading strategy for a manufacturer's decision to avoid losses.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-10-22
      DOI: 10.1108/BIJ-05-2021-0254
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Multi-criteria decision-making toward supplier selection: exploration of
           PROMETHEE II method

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      Authors: Nishant Agrawal
      Abstract: Supplier Selection (SS) is one of the vital decisions frequently executed by numerous industries. In recent times, the number of suppliers has increased enormously depending on a wide range of criteria. A selection of suppliers is a sensitive process that may impact various supply chain activities. The purpose of this research is to explore an underutilized technique called PROMETHEE II method for SS. Various tools and techniques are available under multi-criteria decision-making tools, which sometimes creates confusion in researchers' minds regarding reliability. PROMETHEE II was the most prominent method for ranking all available alternatives that ultimately avoid decision-making errors. To execute this equal and unequal weights approach has been used with three case studies. In this research, three case studies have been used and soved with the help of the PROMETHEE II approach. The study also provides fundamental insights into the supplier's ranking on different criteria using sensitivity analysis. Further, criteria were divided as per benefits and non-beneficial to get a robust result. The pros and cons of PROMETHEE II approaches are also highlighted compared to other MCDM tools in this study. Most of the SS research uses either AHP or TOPSIS as per existing literature. There are very few attempts highlighted in the literature that use PROMETHEE II for the SS problem with sensitivity analysis. The proposed method is probable to motivate decision-makers to consider using a more sophisticated method like PROMETHEE II in supplier evaluation processes. This study opens a new direction for the ranking of suppliers in the field of the supply chain. The study also bears significant practical as well as managerial implications.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-30
      DOI: 10.1108/BIJ-02-2021-0071
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Identification of specific metrics for sustainable lean manufacturing in
           the automobile industries

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      Authors: Naveen Kumar , Mathiyazhagan Kaliyan , M. Thilak , Ángel Acevedo-Duque
      Abstract: This study explains the importance of performance measures and identifies the specific performance measures of sustainable lean manufacturing (SLM) for automobile industries. Awareness towards sustainability and continuous improvement approaches demand monitoring of the sustainable lean impact on organization/industry, and hence, identifying the specific performance metrics is of peak importance. In this study, specific metrics for social, economic and environmental performance are identified from a systematic literature review of 82 significantly related journal articles. The importance of the identified metrics is assessed with the help of questionnaire responses from a group of industrial experts. Performance indicators are statistically analyzed category wise and assessed. The key metrics are summarized based on the survey data followed by a discussion with industrial experts. From this study, performance measures have been identified and validated through hypothesis testing for Indian automobile industries. Certification of IATF16949 implementation found an important vertical for SLM implementation. In this study, SLM implementation initiatives are discussed, and reward scheme for outstanding performers are identified as important initiatives are followed by small improvement culture. The proposed discussion of this study is useful for industrialist and researchers, as SLM performance measures are well explained for Indian automobile industries. In this study, future research direction is also explained related to other industries. These summarized performance measures will help to maintain SLM in industries. This paper presents the original literature review based on the study of SLM, as no extensive study is available where SLM performance measure explained for automobile industries. Key initiatives and vertical of SLM are well explained for Indian automobile industries. This study proposed a complete framework for SLM implementation considering competitive manufacturing targets.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-30
      DOI: 10.1108/BIJ-04-2021-0190
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Competency framework to integrate lean construction and integrated project
           delivery on construction megaprojects: towards a future of work global
           initiatives in multinational engineering organisations

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      Authors: Martin Evans , Peter Farrell , Emad Elbeltagi , Helen Dion
      Abstract: Built environment organisations face global challenges between business units, especially since the coronavirus pandemic (COVID-19) has profoundly disrupted the construction industry worldwide, including the management of construction megaprojects (CMPs). This research aims to develop a competency framework, for global integrated delivery (GID) transformative initiatives and future of work (FOW) global initiatives, to manage integration between lean construction (LC) practices and integrated project delivery (IPD) on CMPs in contemporary multinational engineering organisations. “Mixed research methods” involves a two-stage quantitative and qualitative research approach. In the context of CMPs, stage one consisted of a qualitative research methodology comprising a literature review to examine competencies, COVID-19 impacts, responses and key drivers (KDs) to integrate LeanIPD&GID; stage one outcomes propose a conceptualisation of LeanIPD&GID, a competency framework and future of work (FOW) global initiatives. Stage two involved an empirical questionnaire survey for a set of 30 KDs arranged into five-factor clusters (FCs), 226 respondents from 23 countries with an extensive cosmopolitan experience; analysis adopted structural equation modelling (SEM), descriptive and inferential statistics, percentage scoring analysis, principal component analysis (PCA) and eigenvalues. In the context of CMPs, stage one outcomes delivered a conceptualisation of LeanIPD&GID, a proposed competency framework and FOW global initiatives. Stage two concluded that the most significant KDs are “collaboration in design, construction works and engineering management,” “coordination and planning of construction work,” “senior organisational management support,” “boosting implementation of LC, and integrating project delivery” and “earlier and precise 3D visualisation of designs”. building information modelling (BIM) adoption in the MENA region is higher than LC; the second is still taking its first steps, while IPD has little implementation. LeanBIM is slightly integrated, while LeanIPD integration is almost not present. The research findings, conceptualised LeanIPD&GID principles, a proposed competency framework and FOW global initiatives, provided future research streams and directions; the study has provided a competency framework and FOW global initiatives for effective practical strategies for enhancing integration of LeanIPD&GID transformative initiatives on CMPs and will allow project key stakeholders to place emphasis on boosting LeanIPD&GID KDs.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-28
      DOI: 10.1108/BIJ-02-2021-0066
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Information-centric influence strategies for quality assurance in reverse
           logistics supply chains: external stakeholders' perspective

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      Authors: M.K.C.S. Wijewickrama , Nicholas Chileshe , Raufdeen Rameezdeen , J. Jorge Ochoa
      Abstract: The purpose of this paper is twofold: firstly, to identify the information-centric strategies of external stakeholders that influence the quality assurance (QA) in the reverse logistics supply chains (RLSC) of demolition waste (DW) and, secondly, to recognize the determinants for using each strategy. Semi-structured interviews were conducted with 21 professionals representing five external stakeholder groups: state and local government agencies, non-government organizations (NGOs), forward supply chain upstream and downstream actors. The data was analyzed based on Creswell's five-step process, and the conventional content analysis was used for coding and generating themes. The study found seven information-centric influence strategies: regulating, monitoring, leading, incentivizing, demolition approval, forming contracts and specifications. The state government organizations were the most dominant in influencing the QA in RLSC. All external stakeholders use both aggressive and cooperative strategies. The urgent, legitimate and economic core of the issue decides the type of strategy to exert an information-centric influence over the QA in RLSC of DW. To the author's best knowledge, this study is one of the first investigations performed based on a theoretical basis within the context of RLSC in the construction industry (CI). This study used empirical data to elaborate the stakeholder theory while providing new knowledge on stakeholder influence, particularly those relevant to information sharing. Thus, this study developed a theoretical base that future researchers in the study domain could use.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-28
      DOI: 10.1108/BIJ-05-2021-0276
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Journey of customers in this digital era: Understanding the role of
           artificial intelligence technologies in user engagement and conversion

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      Authors: Surajit Bag , Gautam Srivastava , Md Mamoon Al Bashir , Sushma Kumari , Mihalis Giannakis , Abdul Hannan Chowdhury
      Abstract: The first research objective is to understand the role of digital [artificial intelligence (AI)] technologies on user engagement and conversion that has resulted in high online activities and increased online sales in current times in India. In addition, combined with changes such as social distancing and lockdown due to the COVID-19 pandemic, digital disruption has largely impacted the old ways of communication both at the individual and organizational levels, ultimately resulting in prominent social change. While interacting in the virtual world, this change is more noticeable. Therefore, the second research objective is to examine if a satisfying experience during online shopping leads to repurchase intention. Using primary data collected from consumers in a developing economy (India), we tested the theoretical model to further extend the theoretical debate in consumer research. This study empirically tests and further establishes that deploying AI technologies have a positive relationship with user engagement and conversion. Further, conversion leads to satisfying user experience. Finally, the relationship between satisfying user experience and repurchase intention is also found to be significant. The uniqueness of this study is that it tests few key relationships related to user engagement during this uncertain period (COVID-19 pandemic) and examines the underlying mechanism which leads to increase in online sales.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-28
      DOI: 10.1108/BIJ-07-2021-0415
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Emerging challenges to greening of supply chains: an empirical study

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      Authors: Hemant Sharma
      Abstract: This study aims to investigate the greening practices adopted by micro, small and medium enterprises in India and recommend an empirically tested and validated green supply chain management (GSCM) practices construct. The study also aims at measuring the influence of pressures created by external and internal stakeholders on the GSCM score. The study used a mixed-method approach. Qualitative methods, including literature review, expert opinion, focused group discussions and questionnaire-based surveys, were used for item generation and data collection. Quantitative methods included exploratory factor analysis (EFA) to find out the reasonable number of constructs to include in the scale of the GSCM practice, confirmatory factor analysis (CFA) to purify/confirm the scale, and finally, structural equation modelling (SEM) to select the best fit model and to test all causal relationships as portrayed in the base model. In the two-stage survey, convenience and purposive sampling methods were applied. The study develops an empirically validated scale of GSCM practices, which has 6 dimensions and 16 items. This scale can measure the greening score of GSCM practices implementation. Further, findings confirm that the pressures from external and internal stakeholders are the significant forces for micro, small and medium enterprises to adopt GSCM practices. Finally, mediation function of external/internal pressures and green factors also does occur where GSCM is the mediator. The study is an extension of available literature on GSCM practices utilizing the survey data from India. It contributes to the literature on micro, small and medium enterprises and GSCM practices implementation and expands the scope of theoretical applications. For the managers, it provides useful insights about innovative practices to become eco-efficient. The second-order of scale reveals that managers need to equally focus on all factors rather than on any single one. Less GSCM practices score indicates the dearth of external and internal pressures on micro, small and medium enterprises. Therefore, managers need to collaborate with local customers, overseas customers, competitors and legislative agencies. Besides, training of employees, literacy of employees and support from top management also emerge as critical measures that help the industry implement GSCM practices. GSCM as a topic had been extensively explored within different business areas and functions in the available literature. However, this study has some significant values. At prima facie, the study is the first that elucidates GSCM practices by incorporating the effects of pressures of different stakeholders in the context of Indian micro, small and medium enterprises which is considered as the most unorganized sector. Second, the proposed model of the study could provide useful direction for GSCM practices implementation in the unorganized sector in developing nations. Third, the study can also benefit academicians interested in the researched topic, organizations within different sectors and any other party interested in understanding more the concept of GSCM.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-27
      DOI: 10.1108/BIJ-01-2021-0001
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • SWOT analysis of Industry 4.0 variables using AHP methodology and
           structural equation modelling

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      Authors: Vineet Jain , Puneeta Ajmera , João Paulo Davim
      Abstract: Advanced digitalization techniques combined with artificial intelligence and automated robotic systems have created “Smart” organizations resulting in a new revolution in the industrial production systems as Industry 4.0 (I4.0). The research is aimed to do a meticulous scanning of internal and external environment pertaining to I4.0 implementation in the manufacturing industry in India. A survey was conducted among the manufacturing managers and information technology professionals about the factors affecting I4.0 application, and 20 such internal and external factors were identified. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were executed for factor analysis, and four dimensions in terms of strengths, weaknesses, opportunities and threats (SWOT) factors were determined from the variables. The analytical hierarchy process (AHP) methodology was then applied. Results show that increased productivity and efficiency appeared to be the biggest strength of I4.0 while the biggest weakness is the need for specialized training and skills. The biggest opportunity is found to be increasing trust of customers in Internet transactions and employee resistance to adopting new technologies turned out to be the biggest threat. Organizations will be able to evaluate the strengths, work upon weakness, exploit the opportunities and protect against external challenges and threats beforehand while implementing I4.0 technologies. The four dimensions in terms of SWOT pertaining to manufacturing industry have been identified by collecting original data from the manufacturing industry, and AHP and CFA were then carried out to prioritize and verify them.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-27
      DOI: 10.1108/BIJ-10-2020-0546
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Antecedents and consequences of green supply chain management practices: a
           study of Indian food processing industry

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      Authors: Mohd Abdul Muqeet Maaz , Rais Ahmad , Arif Abad
      Abstract: This study aims to empirically test a comprehensive green supply chain management (GSCM) practices model. This paper incorporates green intellectual capital (GIC) and green supply chain orientation (GSCO) as antecedents to the successful implementation of GSCM practices and organizational performance as its consequence. This study has been conducted in the Indian food processing industry. The respondents of this study include 139 plant-level managers working in the food processing industry. The managers were contacted using a combination of personal visits, phone and mail. Structural equation modeling was performed using SPSS AMOS v26 to test the hypothesized model. The findings of this study reveal that GIC and GSCO positively impact the implementation of GSCM practices. Further, GSCM practices improve economic and operational performance, leading to improved organizational performance. This study provides implications for managers suggesting that GSCM practices should be implemented in phases. The first phase must reflect the organization's commitment toward building GIC and the second phase must reflect managerial orientation toward implementation for GSCM practices. This study adds to the existing literature by linking GIC to GSCM practices; second, this study provides a framework for implementation of GSCM practices in the food processing industry.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-24
      DOI: 10.1108/BIJ-01-2021-0026
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Embracing advanced manufacturing technologies for performance improvement:
           an empirical study

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      Authors: Rajesh Kumar Singh , Amulya Gurtu
      Abstract: This study has analyzed strategic issues in implementing advanced manufacturing technologies (AMTs) in manufacturing organizations in India and their relative importance. A survey of manufacturing organizations was conducted, and the data were analyzed using statistical tools (one-sample t-tests, correlation and regression analyses). Improvement in product quality and flexibility of operations are the motivation for AMTs implementation. Top management support and sound financial conditions are essential for implementing AMTs. Successful implementation of AMTs helps in reducing the lead time and improving overall business performance. The findings of this study will help organizations in the implementation of AMTs for improving productivity and business performance. The study is limited to manufacturing organizations in India. Organizations should allocate sufficient funds for AMT applications. Organizational culture should be made conducive to the adoption of new technologies. Employees should be provided adequate training for its successful implementation. The main contribution of this paper is that it provides a detailed analysis of strategic issues for implementing AMTs in manufacturing organizations.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-24
      DOI: 10.1108/BIJ-02-2021-0110
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Supply chain resilience during the COVID-19: empirical evidence from an
           emerging economy

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      Authors: Maciel M. Queiroz , Samuel Fosso Wamba , Regina M. Branski
      Abstract: Although the advances in the supply chain resilience (SCR) literature, there is a critical gap concerning this understanding in a high disruption context, such as in the case of the COVID-19. This paper aims to investigate some dimensions (agility, robustness, disruption orientation and resource reconfiguration) of the SCR during this unprecedented disruption in the Brazilian supply chain context. Supported by the resource-based view, dynamic capabilities and the SCR literature, we developed a model, which in turn was analyzed and validated by partial least squares structural equation modelling. The results revealed that while resource reconfiguration and supply chain disruption orientation positively affect SCR, we found a non-significant effect of supply chain robustness and agility. The findings suggest that in a considerable disruption scenario, managers with their supply chain operations in emerging economies should prioritize the development of resources to support the disruption orientation and manage the scarce resources adequately by reconfiguring them. Our study is one of the first that reported the dynamics of the SCR dimensions in an emerging economy during the COVID-19.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-23
      DOI: 10.1108/BIJ-08-2021-0454
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Engine of entrepreneurial intentions: revisiting personality traits with
           entrepreneurial education

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      Authors: Abhijeet Biswas , Rohit Kumar Verma
      Abstract: The intent to start an entrepreneurial venture is predisposed by certain personality traits. The study aims to analyze the impact of various identified personality traits and entrepreneurial education on entrepreneurial intentions of management students. The data for the study were gathered from 440 students of top 5 management institutes in India. The study used a cross-sectional design and structured questionnaire based on seven-point Likert scale and was administered employing a purposive sampling method. Structural equation modeling (SEM) was utilized to validate posited hypotheses in the study. The study discerns that apart from agreeableness dimension of personality traits, all remaining identified dimensions along with entrepreneurial education had a significant influence on entrepreneurial intentions of management students with need for achievement emerging as the most important enabler. Conscientiousness was the major dimension among big five personality traits bearing a positive influence, while neuroticism registered a negative impact on entrepreneurial intentions. In addition, results bespeak that entrepreneurial education partially mediates the effect of need for achievement, locus of control and innovativeness on entrepreneurial intentions. The compendious model proffered in the study might be helpful for students, educators, consultants, financial institutions and policymakers in appreciating the gravity of underlying personality traits. There is a dearth of research on big five personality traits and entrepreneurial education as enablers of entrepreneurial intentions. The study attempts to integrate big five personality traits model with dimensions of need for achievement, locus of control, innovativeness and entrepreneurial education for management students in India.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-22
      DOI: 10.1108/BIJ-11-2020-0607
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Inventory decision-making biases: a review and suggestions for future
           research

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      Authors: S. Yamini , M.S. Gajanand
      Abstract: The paper provides a comprehensive overview of the biases in inventory decisions, under the umbrella of behavioural operations, considering research findings that used experimental methods. Research in this field has gained traction but, to the best of our knowledge, review articles that summarize these research findings are scarce. Hence, there is a need to synthesize the anomalies and biases reported in inventory decision-making literature to gain a more integrated understanding. This study reviews themes relevant to inventory and behavioural operations management from the articles published in recognized top-tier journals during the period between 2000 and 2020 with an aim to build a classification framework. Further, using a systematic review procedure, the relevant research studies are divided into sub-sections and appropriate search strategies are adopted to pleat more information on inventory ordering biases. This study presents a classification framework by highlighting the factors influencing the biases in inventory decisions and describes the effects of utility preferences on the decision-making behaviour. It highlights the inventory ordering pattern under unconventional settings and also for different supply chain settings. This systematic review helps in identifying the research gap and in giving directions for future researchers. The study presents a systematic review and detailed analysis of the research in inventory decision making through a behavioural lens. The study shows a clear direction of progress over the years, and implies new directions for looking beyond placing orders and for moving towards a more integrated approach while making supply chain decisions. It will be useful for researchers and practitioners working on newsvendor decisions, supply chain contracts, behavioural economics, behavioural operations management, bounded rationality theory and experimental economics.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-21
      DOI: 10.1108/BIJ-01-2021-0061
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Assessing the efficiency of the Covid-19 control measures and public
           health policy in OECD countries from cultural perspectives

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      Authors: Hokey Min , C. Christopher Lee , Seong-Jong Joo
      Abstract: To identify sources of the success and failure of COVID-19 control measures and develop best-practice public health policy in mitigating the spread of COVID-19, this paper aims to evaluate the efficiency of various combinations of government COVID-19 control measures among OECD countries. This paper also identifies which factors critically influence the efficiency of COVID-19 control measures. This paper employed two-stage network SBM (slacks-based measure of efficiency) models with variable returns-to-scale and constant returns-to-scale, respectively, among various forms of data envelopment analysis (DEA) models. As a post hoc analysis, the authors used Tobit regression for examining the causal relationship between a nation's cultural dimensions and its COVID-19 control measure's efficiency scores. The authors found that the pervasive less individualistic and higher uncertainty avoiding culture positively influenced the efficient control of COVID-19 outbreaks since such a culture helped the government impose its mandatory COVID-19 control measures without people's strong resistance to those measures. Many public health policymakers are wondering why COVID-19 control measures are not effective in coping with the COVID-19 outbreaks. This paper helps the government find the most efficient combination of COVID-19 controls measures for curbing the spread of the stubborn coronavirus. This paper is one of the first attempts to identify pandemic risk mitigation factors from a cultural perspective.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-15
      DOI: 10.1108/BIJ-05-2021-0241
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Benchmarking the outsourcing factors of third-party logistics services
           selection: analysing influential strength and building a sustainable
           decision model

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      Authors: Sharfuddin Ahmed Khan , Shahed Alkhatib , Zaina Ammar , Md. Abdul Moktadir , Anil Kumar
      Abstract: Outsourcings always affect crucial supply chain functions concerning flexibility and cost. During the decision to outsource and consider third-party logistics service provider selection, decision-makers need to pay more attention to certain critical outsourcing factors such as coordination, integration and cooperation as these key factors are essential to improve overall supply chain performance. The main purpose of this work is to identify the inter-relations among outsourcing decision factors to highlight the most important and influential factors that should be considered and carefully thought through when making outsourcing sustainable decisions. A two-phased methodology has been used in this study. In the first phase, outsourcing decision factors are identified from existing literature and validated by decision-makers from industry and academia. To understand the influential strength and build a sustainable model, the decision-making trial and evaluation laboratory method is used. A courier company in the UAE is considered for implementation. All identified and validated factors are segregated into two categories (cause and effect). The result shows that the most influential factors are developing strategic alliances, uncertainty and risk mitigation and deficiency of internal resources for a service. There are several insights for industry managers and practitioners. The results of the study may help practitioners and logistics managers to make the logistics service sustainable and more efficient for businesses. This study focusses on a courier company to understand the interdependencies among outsourcing decision factors; this is unique in this field of literature.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-09-14
      DOI: 10.1108/BIJ-03-2020-0121
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Sustainability of operations through disruptive technologies in the
           petroleum supply chain

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      Authors: Sourabh Kumar , Mukesh Kumar Barua
      Abstract: Disruptive technologies can significantly contribute to the sustainability of operations in the petroleum supply chain. The present study aims to identify the prime sustainable dimensions and disruptive technologies implementation in the supply chain of the petroleum industry. The authors used content analysis in the literature and experts input to explore the sustainable dimensions and disruptive technologies in the supply chain. This study used a hybrid method of hesitant fuzzy set and regret theory to identify the prominent sustainability dimensions and prominent disruptive technologies. This method emphasizes the decision-makers psychological characteristics under uncertain environments. The result indicates that social responsibility, labor practices, safety and technical standards hold the most prominent sustainable dimensions in the petroleum supply chain. Further, the result also depicts that when consider an equal degree of regret and rejoice, artificial intelligence and big data could significantly enhance operations sustainability in the petroleum industry. This study considers only 11 sustainable dimensions and 43 sustainable factors, whereas other dimensions and factors could also be considered in future research. The research uses hesitant fussy set and regret set theory to identify the prominent sustainable dimensions and disruptive technologies, whereas other multiple-criteria decision-making (MCDM) techniques can also be used. To the best of the authors’ knowledge, this is the first paper to explore the sustainable dimensions (environmental, social and economic) and disruptive technologies in the supply chain of the petroleum industry. This research intended to guide the practitioners, policymakers and academicians to emphasize their effort toward sustainable operations supply chain management.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-26
      DOI: 10.1108/BIJ-02-2021-0086
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Circular economy: a conceptual model to measure readiness for
           manufacturing SMEs

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      Authors: John Thorley , Jose Arturo Garza-Reyes , Anthony Anosike
      Abstract: Over the last decade, circular economy (CE) has gathered interest from both industrialists and academics alike. Whilst CE research is widespread in such areas as supply chain and larger organisations, there is limited research into how small to medium enterprises (SMEs) can prepare for adopting CE. There is no comprehensive readiness model for SMEs adopting CE. The purpose of this paper is to explore the literature on change readiness and generate knowledge to fill this gap by developing a conceptual model to measure change readiness for SMEs' adopting CE. This study is based on a comprehensive literature review of change readiness models and frameworks. The paper reviews publications from Science Direct, Web of Science, Emerald, Scopus and Google Scholar. The readiness for change models and frameworks from the selected publications are evaluated and synthesised to develop a comprehensive conceptual model for change readiness for SMEs adopting a circular economy. A readiness conceptual model is developed by incorporating several factors as precursors to readiness, i.e. individual/collective difference, structural, contextual factors and related barriers. Eleven factors make up the individual/collective difference. Three factors make up the structural and contextual factors. This paper develops a conceptual model that can aid academics and practitioners in better understanding SMEs readiness to adopt CE. This paper makes a unique contribution by proposing a comprehensive conceptual model of readiness for SMEs adopting CE.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-26
      DOI: 10.1108/BIJ-03-2021-0161
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Green supply chain management pressures, practices and performance: a
           critical literature review

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      Authors: Kailash Choudhary , Kuldip Singh Sangwan
      Abstract: The concept of green supply chain management (GSCM) is evolving rapidly due to the environmental concerns and gaining popularity in the research community. This study critically analyze the literature of GSCM pressure, practice and performance for manufacturing enterprises based on the results of bibliometric, network and frequency analyses. Scopus database is used for literature search. Bibliometric network and frequency analysis are used to critically review the evolution of identified constructs and measures of GSCM pressure, practice and performance. This study has identified that the selected topic is in growing stage through the collaborative effort of the worldwide researchers. This study also shows the diffusion of influence in developing countries and there are enormous opportunities of research in these regions. The study finds evaluation of GSCM constructs and measures with time and shift in focus areas by the researchers. The study suggests more focus on the measurement of informative pressures, reverse logistics practices and negative impact on economic performance due to the adoption of GSCM practices. There is a need of simultaneous analysis of GSCM pressures, practices and performance to identify the cascading effect in different regions and industrial sectors and developed a conceptual framework to identify this effect. This study also observes the need of more quantitative measures-based case studies and suggests the use of life cycle assessment for the quantification of environmental performance. This study for the first time has analyzed a specific topic of GSCM pressure, practice and performance through bibliometric and network analyses. This study critically reviews the constructs and measures of GSCM pressure, practice and performance and identified the future research directions.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-24
      DOI: 10.1108/BIJ-05-2021-0242
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Integrated management system: methodology for maturity assessment in food
           industries

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      Authors: Ângela Regina Souza Santos , Renata Maciel de Melo , Thárcylla Rebecca Negreiros Clemente , Simone Machado Santos
      Abstract: A model to evaluate the maturity of the integration of three management systems in food industries, under the aspects of environment, quality and food safety is proposed. The model is composed of maturity levels, allowing the understanding of the integration of the systems mentioned and their stage of evolution. The work was based on a bibliographic review of the topics: ISO standards, Integrated Management Systems (IMS) and already existing methods for maturity assessment. The referred model is composed of elements related to (1) audit dynamics, (2) changes in behavior, (3) the organizational structure, (4) the participation of senior management and (5) the interface with the cycle of continuous improvement. The model is easily applicable and composed of five maturity levels, allowing the understanding of the stage of system evolution: (1) absence of maturity, (2) introductory level, (3) intermediate level, (4) toward excellence and (5) excellence. The results of the model may help managers in the development of actions for the improvement of their integrated management (drivers for IMS) aiming at process control, the focus on the client and the integration of people and processes. Based on the drivers, the managers will be able to make plans characterized by orientations, techniques and tools applied in the several organizational processes. Using the proposed model, managers can enhance the desired results with efficiency and effectiveness. The existing literature presents limited results on the integration of certified systems for the analysis of the maturity stages in manufacturing industries. Therefore, this study extends results from other studies on IMS, associating them to an organizational maturity analysis in food industries, resulting in a proposal of maturity model. This study also proposes the integration of ISO 14001, ISO 9001 and ISO 22000 to indicate the maturity stage of manufacturing industries in the food sector, supporting the strategic management process of organizations of any size. The model adopts several aspects of management and control to provide a holistic view on the integrated management of organizations. Finally, the proposed model considers several aspects of management and control for the food industries in the developing countries, providing a holistic view of integrated management.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-24
      DOI: 10.1108/BIJ-05-2021-0280
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Assessing vulnerability of informal floating workers in Bangladesh before
           and during COVID-19 pandemic: a multi-method analysis

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      Authors: Shafiqul Alam , Ziaul Haq Adnan , Mohammed Abdul Baten , Surajit Bag
      Abstract: Globally, a myriad of floating workers is in grave jeopardy due to the ceasing of employment opportunities that resulted from the mobility restriction during the Covid-19. Despite the global concern, developing countries have been suffering disproportionately due to the dominance of informal workers in their labour market, posing the necessity to campaign for the immediate protection of this vulnerable population. This paper analyses various dimensions of the vulnerability of urban floating workers in the context of Covid-19 in Bangladesh. In reference to International Labour Organization's (ILO) “Decent Work” concept, this paper endeavours to examine floating workers' vulnerability using the insider-outsider framework in context to Covid-19 pandemic. The study was conducted in two phases. In the first phase, data were collected before the pandemic to assess the vulnerability of the informal floating workers. Later, we extended the study to the second phase during the Covid-19 pandemic to understand how pandemic affects the lives and livelihood of floating workers. In phase one, data were collected from a sample of 342 floating workers and analysed based on job security, wages, working environment, psychological wellbeing and education to understand the vulnerability of floating workers. In phase two, 20 in-depth qualitative interviews were conducted, followed by thematic analysis to explore how the pandemic affects the existing vulnerability of floating workers. Various social protection schemes were analysed to evaluate their effectiveness in reducing the vulnerability of floating workers facing socio-economic crises. The study has found that the pandemic has multiplied the existing vulnerability of the floating workers on many fronts that include job losses, food crisis, shelter insecurity, education, social, physical and mental wellbeing. In response to the pandemic, the Government stimulus packages and Non-government Covid-19 initiatives lack the appropriate system, magnitude, and focus on protecting the floating workers in Bangladesh. This paper outlines various short-term interventions and long-term policy prescriptions to safeguard floating workers' lives and livelihood from the ongoing Corona pandemic and unforeseen uncertainties. This paper is the first of its kind that aims at understanding the vulnerability of this significant workforce in Bangladesh, taking the whole picture of Government and Non-government initiatives during Covid-19.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-24
      DOI: 10.1108/BIJ-06-2021-0329
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Benchmarking of Singapore maritime cluster: the role of cluster
           facilitators

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      Authors: Shahrin Osman , Balan Sundarakani , Torger Reve
      Abstract: This article analyses the role of cluster facilitators in the Singapore maritime cluster. Singapore has been recognised for its pro-business policies and its ability to attract international shipping companies to set up the ship ownership headquarters and ship management activities in Singapore. The research is an empirical investigation on the approach for industrial cluster development of the Singapore maritime cluster, using the case study research methodology. The case study approach leverages on multiple sources of evidence from deep interviews (of 24 Singaporean firms and 13 Norwegian firms) related observations, documentation and archival records. As a means of contributing to the cluster renewal process, Singapore as the country embarks on the next stage of maritime cluster development, a benchmarking against the Norwegian Innovation Cluster has been incorporated. The research findings reveals that Singapore is lacking in innovation activities that entails multi-firms collaborations and collaboration between multi-firms and research institutions. The existence of cluster organisation to facilitate collaborations between firms in the cluster and between firms in the cluster with research institutions is another contributing factor that are not institutionalised in the Singapore maritime cluster. Though the research is grounded primarily on the international business theory, particularly from firm- and country-specific advantages of location decisions, the economic geography theory and cluster theory also complement the theoretical grounding. The findings derived from this research aim to facilitate policy makers, maritime leaders and practitioners to develop effective courses of action in current and future maritime industry development. The research provides value to maritime industry stakeholders, maritime leaders and policy makers in their firm positioning strategy. Thus, the research adds values to the maritime industry with similar country perspectives and firm values for developing policies.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-24
      DOI: 10.1108/BIJ-11-2020-0574
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • ABC analysis using Particle Swarm Optimization and its performance
           evaluation with other models

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      Authors: Kathirvel Selvaraju , Punniyamoorthy Murugesan
      Abstract: The purpose of this article is to develop a cost-effective model for Multi-Criteria ABC Inventory Classification and to measure its performance in comparison to the other existing models. Particle Swarm Optimization (PSO) algorithm is exclusively designed for Multi-Criteria ABC Inventory Classification wherein the inventory is classified based on the objective of cost minimization, which is achieved through the inventory performance index – total relevant cost. Effectiveness of classification of the proposed model and the other classification models toward two inventory performance measures, that is, cost and inventory turnover has been computed, and the results of all models are relatively compared by arriving at the cumulative performance score of each model. This study reveals that the ABC Inventory classification based on the proposed PSO approach is more effective toward cost and inventory turnover ratio in comparison to the twenty existing models. The proposed model can be easily adapted to the industrial requirement of inventory classification by cost as objective as well as other inventory management performance measures. The conceptual model is more versatile which can be adapted for various objectives and the effectiveness of classification in comparison to the other models can be measured toward each objective as well as combining all the objectives.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-20
      DOI: 10.1108/BIJ-11-2020-0594
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • An analysis of Industry 4.0 implementation-variables by using SAP-LAP and
           e-IRP approach

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      Authors: Veepan Kumar , Ravi Shankar , Prem Vrat
      Abstract: In today’s uncertain business environment, Industry 4.0 is regarded as a viable strategic plan for addressing a wide range of manufacturing-related challenges. However, it appears that its level of adoption varies across many countries. In the case of a developing economy like India, practitioners are still in the early stages of implementation. The implementation of Industry 4.0 appears to be complex, and it must be investigated holistically in order to gain a better understanding of it. Therefore, an attempt has been made to examine the Industry 4.0 implementation for the Indian manufacturing organization in a detailed way by analyzing the complexities of relevant variables. SAP-LAP (situation-actor-process and learning-action-performance) and an efficient interpretive ranking process (e-IRP) were used to analyze the various variables influencing Industry 4.0 implementation. The variables were identified, as per SAP-LAP, through a thorough review of the literature and based on the perspectives of various experts. The e-IRP has been used to prioritize the selected elements (i.e. actors with respect to processes and actions with respect to performance) of SAP-LAP. This study ranked five stakeholders according to their priority in Industry 4.0 implementation: government policymakers, industry associations, research and academic institutions, manufacturers and customers. In addition, the study also prioritized important actions that need to be taken by these stakeholders. The results of this study would be useful in identifying and managing the various actors and actions related to Industry 4.0 implementation. Accordingly, their prioritized sequence would be useful to the practitioners in preparing the well-defined and comprehensive strategic roadmap for Industry 4.0. This study has adopted qualitative and quantitative approaches for identifying and prioritizing different variables of Industry 4.0 implementation. This, in turn, helps the stakeholder to comprehend the concept of Industry 4.0 in a much simpler way.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-19
      DOI: 10.1108/BIJ-03-2021-0153
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Emerging trends in digital transformation: a bibliometric analysis

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      Authors: Raghu Nandan Chawla , Praveen Goyal
      Abstract: Ubiquitous digital technologies are driving organisations to embrace non-traditional digitally transformed business models incessantly. Heterogeneous literature contributions have resulted in a spur in the research related to business transformation driven by digital technologies in recent years; consequently, the research under the digital transformation (DT), even though becoming a hotspot, remains very fragmented. The authors endeavour to holistically present the literature's intellectual structure under DT as a concept, its evolving journey and the emerging research streams in the business and management domains using the techniques of bibliometric analysis. By performing bibliometric analysis on 234 research articles published over the last 20 years in the DT domain, retrieved from Thompson Reuters Web of Science TM, this study culls out thorough insights from the citation, co-citation and keyword analysis. Further emerging research streams were evaluated using VOSviewer software. The study depicts an overall incremental trend of year-on-year publications, authors' performance, publication journals, associated institutions and research driving countries, along with key insights from co-citation network analysis. Furthermore, the study evaluates four research areas – organisational impacts, applied applications and insights, operational processes and social aspects, comprising eighteen research streams that comprehensively cover-up research under the DT domain. The study contributes to the literature of DT by amalgamating the status of the present research, but more importantly, by deriving the research areas and research streams, which can be further expanded by researchers as future research streams. For the practitioners, the study aims to act as a ready reckoner repository with practice-oriented literature references to facilitate them building knowledge and taking effective strategic decisions to harness the benefits of DT more proficiently. This study illustrates the bibliometric structure of the DT literature and presents insights from the growth of the literature year-on-year.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-16
      DOI: 10.1108/BIJ-01-2021-0009
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Measuring agri-food supply chain performance: insights from the Peruvian
           kiwicha industry

         This is an Open Access Article Open Access Article

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      Authors: Edgar Ramos , Phillip S. Coles , Melissa Chavez , Benjamin Hazen
      Abstract: Agri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system. This research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model. The resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain. The model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-13
      DOI: 10.1108/BIJ-10-2020-0544
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Robotic process automation for industry: adoption status, benefits,
           challenges and research agenda

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      Authors: Dhanya Pramod
      Abstract: This study intends to find the industries that have leveraged Robotic Process Automation (RPA) technology and elucidate the extent of the adoption of RPA in various industry domains with benefits. The identification of tasks eligible for RPA itself is a challenge. Therefore, the study further brings out the challenges faced in various industry verticals and postulates the future direction of research and applications in RPA. The study focuses on articles from popular databases such as SCOPUS, Web of Science and Google scholar. PRISMA methodology is used for systematic literature review and 113 papers are shortlisted for study. Three questions are framed to carry out the review and set the research direction. It is evident from this study that RPA has been widely used in banking and related areas with moderate use in healthcare and manufacturing leading to operational efficiency and productivity. However, there are a lot more opportunities in other domains that need to be taped by leveraging technology advancements and a research agenda has been devised by postulating future directions. The study brings out a new comprehensive perspective as regards RPA implementation across domains. There is no promising study found that gathers three-dimensional aspects of the meta-themes applications, benefits and challenges. The study summarizes the research agenda and projects the industry domains that have not yet explored, the benefits of RPA. This will be a good reference article for those who develop RPA techniques and organizations that have plans to go for RPA.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-12
      DOI: 10.1108/BIJ-01-2021-0033
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Adoption of product lifecycle management in new product development: a
           case study of automotive organisation

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      Authors: Ganesh Tanpure , Vinod Yadav , Rakesh Jain , Gunjan Soni
      Abstract: The Product Lifecycle Management (PLM) system has found varieties of deployments in various domains of product-based industries. Current study aims to provide a framework for the adoption of PLM systems in manufacturing organizations to meet the actual requirements of industries. First, a systematic review of extant literature was performed, and further, the case study approach is opted to study the process of New Product Development (NPD) in a manufacturing organization. Triangulation methodology was adopted wherein the interview results, actual observations, and authorized documentations were used to validate the result and provide conclusions. A conceptual framework and implementation architecture for PLM is derived. The complete ecosystem for digital footprint is mapped for New Product Development (NPD) activities. The study could be helpful for Techno-Functional Managers. For individuals with only functional/technical knowledge, additional training might be required to adopt the framework in actual practices. The paper contributes to the existing literature by providing a framework and demonstrating the feasibility of implementation through the case study.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-11
      DOI: 10.1108/BIJ-04-2021-0181
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Strategic fit of mergers and acquisitions in Latin American airlines: a
           two-stage DEA approach

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      Authors: Peter Wanke , Jorge Junio Moreira Antunes , Henrique Luiz Correa , Yong Tan
      Abstract: The purpose of this paper is to assess the efficiency determinants of mergers and acquisitions (M&A) in the context of Latin American airlines based on business-related variables commonly found in the literature. The idea is to identify preferable potential airline matches in light of fleet mix, ownership structure and geographical proximity. In order to achieve the objective, all possible combinations of M&A pairs are considered in the analysis, which is developed in a two-stage approach. First, the M&A Data Envelopment Analysis model efficiency and returns-to-scale estimates are computed. Then, robust regression and multinomial logistic regression are respectively used to discriminate these estimates in terms of such business-related variables. The results reveal that these different contextual variables significantly impact virtual efficiency and returns-to-scale levels. Private ownership, passenger focus and a better match between aircraft size and demand for flights appear to be key drivers for merged airline efficiency. The study makes theoretical contributions, though limited to analyzing Latin American airlines only. The use of bootstrapped robust/multinominal logistic regression, compared to the methods adopted by previous literature studies, generates more accurate and robust results related to the efficiency drivers due to its special feature and ability to allow the discrimination of increasing, decreasing, and constant returns to scale in light of a given set of contextual variables. This study examines the pure effect of the merging activity on efficiency gains. Not only private ownership but also a hybrid public–private ownership has a positive influence on virtual efficiency, suggesting an important governmental role in promoting M&A in the airline industry. The authors present an original take on the issue of airline mergers by exploring what are the major drivers possibly involved in efficiency gains of potentially merged (virtual) airlines. The authors identify preferable potential airline matches where efficiency gains would be positive in light of business-related variables such as fleet mix, ownership structure and geographical proximity. The analysis also includes an assessment of the impact of contextual variables such as cargo type, ownership structure and geographical proximity in relation to the strategic fit of mergers considering the resulting efficiency and returns-to-scale scores of virtually merged airlines. To the authors’ knowledge, no previous research has addressed these issues in Latin American airlines. Further research directions for this industry are also discussed.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-10
      DOI: 10.1108/BIJ-11-2020-0588
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • An assessment of government measures in combatting COVID-19 using ISM and
           DEMATEL modelling

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      Authors: Samant Shant Priya , Meenu Shant Priya , Vineet Jain , Sushil Kumar Dixit
      Abstract: The purpose of this paper is to evaluate the interplay of various measures used by different governments around the world in combatting COVID-19. The research uses the interpretative structural modelling (ISM) for assessing the powerful measures amongst the recognized ones, whereas to establish the cause-and-effect relations amongst the variables, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used. Both approaches utilized in the study aid in the comprehension of the relationship amongst the assessed measures. According to the ISM model, international support measures have the most important role in reducing the risk of COVID-19. There has also been a suggestion of a relationship between economic and risk measures. Surprisingly, no linkage factor (unstable one) was reported in the research. The study indicates social welfare measures, R&D measures, centralized power and decentralized governance measures and universal healthcare measures as independent factors. The DEMATEL analysis reveals that the net causes are social welfare measures, centralized power and decentralized government, universal health coverage measure and R&D measures, while the net effects are economic measures, green recovery measures, risk measures and international support measures. The study includes a list of numerous government measures deployed throughout the world to mitigate the risk of COVID-19, as well as the structural links amongst the identified government measures. The Matrice d'Impacts croises-multiplication applique and classment analysis can help the policymakers in understanding measures used in combatting COVID-19 based on their driving and dependence power. These insights may assist them in employing these measures for mitigating the risks associated with COVID-19 or any other similar pandemic situation in the future.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-09
      DOI: 10.1108/BIJ-05-2021-0244
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The impact of business analytics capability on data-driven culture and
           exploration: achieving a competitive advantage

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      Authors: Najah Almazmomi , Aboobucker Ilmudeen , Alaa A. Qaffas
      Abstract: In today's business setting, the business analytic capability, data-driven culture and product development features are highly pronounced in light of the firm's competitive advantage. Though widespread attention has been given to the above concepts, there hasn't been much research done on how it could support achieving competitive advantage. This research strongly lies on the theoretical background and empirically tests the hypothesized relationships. The primary survey of 272 responses was analysed by using the partial least squares structural equation modelling (PLS-SEM). The findings of this study show a significant relationship for the constructs in the research model except for the third hypothesis. Accordingly, the firm's data-driven culture does not have a significant impact on new product newness. This study empirically tests the business analytics capability, data-driven culture, and new product development features in the context of a firm's competitive advantage. The findings of this study contribute to the theoretical, practical and managerial aspects of this field.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-05
      DOI: 10.1108/BIJ-01-2021-0021
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Information technology (IT) governance and IT capability to realize firm
           performance: enabling role of agility and innovative capability

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      Authors: Aboobucker Ilmudeen
      Abstract: With the ever-growing turbulent business setting, there is a great interest to study how a firm tailors information technology (IT) capability to shape agility and innovation capability to stay ahead of the competition. This study examines how IT governance and IT capability can be tailored to achieve firm performance through agility and innovative capability in a turbulent environment. Drawing on the dynamic capability theory, this study based on the primary survey data of 253 responses from senior IT and business executives in China proves the hypothesized relationship in the proposed model. This study shows that the IT governance mechanism positively impacts on IT-enabled dynamic capabilities. Further, IT-enabled dynamic capabilities positively impact on agility and innovative capability that in turn support to achieve firm performance. The environmental uncertainty is only significant in the IT-enabled dynamic capabilities–business process agility relationship. This study suggests corporate leaders and executives to better exploit their resources and tailor IT capabilities in the turbulent environment. Further, this study offers theoretical and practical implications. This study proposes ways for executives to examine the multifaceted nature of environmental uncertainty to achieve agility, innovation and firm performance rather than simply investing in IT.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-08-03
      DOI: 10.1108/BIJ-02-2021-0069
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The dynamics of Indian energy mix: a two-phase analysis

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      Authors: Amit Prakash Jha , Sanjay Kumar Singh
      Abstract: The Indian power sector is dominated by coal. Environmental awareness and advances in techno-economic front have led to a slow but steady shift towards greener alternatives. The distributions of both fossil fuel resources and renewable energy potential are not uniform across the states. Paper attempts to answer how the states are performing in the sector and how the renewable energy and conventional resources are affecting the dynamics. The authors employ a two-stage data envelopment analysis (DEA) to rank the performance of Indian states in the power sector. Multi-stage analysis opens up the DEA black-box through disaggregating power sector in two logical sub-sectors. The performance is evaluated from the point-of-view of policy formulating and implementing agencies. Further, an econometric analysis using seemingly unrelated regression equations (SURE) is conducted to estimate the determinants of total and industrial per-capita electricity consumption. Efficiency scores obtained from the first phase of analysis happens to be a significant explanatory variable for power consumption. The growth in electricity consumption, which is necessary for economic wellbeing, is positively affected by both renewable and non-renewable sources; but conventional sources have a larger impact on per-capita consumption. Yet, the share of renewables in the energy mix has positive elasticity. Hence, the findings are encouraging, because development in storage technologies, falling costs and policy interventions are poised to give further impetus to renewable sources. The study is one of the very few where entire spectrum of the Indian power sector is evaluated from efficiency perspective. Further, the second phase analysis gives additional relevant insights on the sector.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-30
      DOI: 10.1108/BIJ-10-2020-0557
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Does capacity utilisation influence financial performance' A study of
           Indian public bus transport companies

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      Authors: Shivam Kushwaha , Shankar Prawesh , Anand Venkatesh
      Abstract: The objective of the paper is to get a better understanding of capacity utilisation (CU) in Indian public bus companies. More specifically, this paper would be measuring CU and identifying the drivers of the same. Finally, the influence of CU on the financial performance of Indian bus companies is examined. The study adopted data envelopment analysis (DEA) to measure the CU in Indian public bus companies. Truncated regression was used to identify the drivers of CU. Subsequently, the ordinary least squares (OLS) regression was used to analyse the influence of CU on Indian bus companies' financial performance. The period of study was from 2013 to 17. The significant drivers of CU were fleet age, passenger lead and fleet utilisation. Additionally, it was found that CU had a significant positive influence on the financial performance of Indian public bus companies and a unit increase in unused capacity has led to an increase of 7% in the operating ratio of the bus companies. Getting insights into CU, apart from technical efficiency, is of immense use to both public transport researchers and practitioners. Managers of public bus companies should be mindful of CU as it has a significant bearing on their financial performance. This is the first study in public transport, which establishes the linkage between CU and financial performance. Besides, a modified measure of cost-efficiency has also been conceptualised in this study.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-29
      DOI: 10.1108/BIJ-01-2021-0039
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Omnichannel retailing: a bibliometric and network visualization analysis

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      Authors: Kala Mahadevan , Sujata Joshi
      Abstract: The purpose of this paper is to review the extant research literature on omnichannel retailing and map the research trends in this field through a bibliometric analysis and network visualization exercise. This paper employs bibliometric analysis techniques on research literature retrieved from the Scopus and Web of Science databases over the period 2013–2020 and assesses indicators such as research production and citation trends, top contributing authors, countries, journals and organizations through tools offered by the Scopus/Web of Science databases as well as Biblioshiny. A network visualization analysis of patterns such as keyword co-occurrences and co-authorship linkages between contributing countries has been investigated through the use of VOSviewer. The bibliometric analysis indicates that research in this field is currently dominated by USA and China with Germany and UK also being key contributors. The analysis has indicated that the field of omnichannel retailing straddles multiple domains such as logistics, distribution, operations and consumer behavior, thereby offering significant future scope for research linking omnichannel retailing with these subject areas. This study maps the structure of research done in the field of omnichannel retailing and outlines the key contributors in terms of authors, journals and organizations that can serve as an input for future research. The study also identifies possible avenues for future research in the knowledge domain of omnichannel retailing.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-28
      DOI: 10.1108/BIJ-12-2020-0622
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A typology of horizontal logistics collaboration concepts: an illustrative
           case study from agri-food supply chains

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      Authors: Ismail Badraoui , Youssef Boulaksil , Jack G.A.J. Van der Vorst
      Abstract: The purpose of this paper is to develop a comprehensive model for horizontal logistics collaboration (HLC), including the collaboration types, enablers, context influence and performance indicators. First, this study discusses the currently available typologies and their limitations and defines relevant collaboration classification dimensions. Then, a detailed analysis of each dimension is conducted, including the identification of resulting collaboration types. Next, collaboration enablers and the context influence are discussed, as well as their implications on the logistics system, with a specific focus on agri-food supply chains (AFSCs). Additionally, adequate key performance indicators (KPIs) are selected to evaluate collaboration outcomes. Finally, the horizontal logistics collaboration concept (HLCC) is applied to an illustrative case study from AFSCs. The results show that HLC is a complex strategy where several elements intervene in the creation of the collaboration scenario. The research also shows that the specific characteristics of AFSCs influence the partners' selection process and increase the importance of partners' similarity and information exchange. The results provide managers with practical insights into the dynamic nature of HLC both at the operational and relational levels. This paper provides a theoretical contribution by introducing a new comprehensive model for HLC and a practical typology that allows a deeper understanding of the mechanisms governing different HLC scenarios.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-27
      DOI: 10.1108/BIJ-02-2021-0082
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Sustainable service supply chain management: from a systematic literature
           review to a conceptual framework for performance evaluation of service
           only supply chain

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      Authors: Ramji Nagariya , Divesh Kumar , Ishwar Kumar
      Abstract: Despite increasing attentions to sustainable service supply chain management (SSSCM), a framework for performance evaluation of sustainable service only supply chain management (SSOSCM) is still missing. This paper tries to fill this gap and provides a novel conceptual framework. The articles related to SSSCM are fetched from the databases of SCOPUS and Web of Science. Analysis of 174 articles identified by the systematic literature review is further carried out. This research identifies the sustainable practices for service only supply chain (SOSC) as environmental management, social management, economic management, customer management, health, safety and risk management, technical sustainability, institutional sustainability, information and technology management as well as two performance measurement criteria as operational performance and organizational performance. This paper provides a novel conceptual framework for the performance evaluation of SSOSCM. The results call for future exploration in the following three broad directions-(1) customer's perception, involvement and their behaviour towards sustainability in SOSC context; (2) trade-off, incentive mechanism and multilevel evaluation for achieving sustainability in SOSC and (3) sustainability in SOSC from various point of views. The managers can use the framework to assess the performance of the organization while researchers can explore the discussed research gaps. This is the first paper that provides a novel conceptual framework for the performance evaluation of SSOSCM as well as potential future research directions.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-26
      DOI: 10.1108/BIJ-01-2021-0040
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Country-related future research agenda of Lean Manufacturing–A
           systematic literature review

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      Authors: Evangelos Psomas
      Abstract: Many future research proposals of Lean Manufacturing (LM) are presented in the literature. The purpose of this paper is to determine these future research proposals of LM which are country-related and classify them. A systematic literature review (SLR) of peer-reviewed journal articles in LM was conducted. A total of 145 articles published in 34 journals during 2010–2020 were collected from four major management science publishers namely, Emerald Online, Elsevier/Science Direct, Springer Link and Taylor and Francis. The country-related future research proposals of LM identified in the literature were classified according to, firstly, the continent of the country of reference, and secondly, some form of natural affinity of these proposals creating meaningful themes. The quality tool “affinity diagram” was applied to classify the country-related future research proposals of LM. The country-related future research proposals of LM, which are increasing in the literature over time, refer mostly to studies to be conducted in several continents/countries and to multinational studies. Conducting studies specifically in Asia, Europe, South and North America, Africa and Australia–New Zealand is also suggested. The plethora of the country-related future research proposals of LM were classified, based on the affinity of their content, into 18 meaningful themes. These themes were also classified based on their affinity into two broad categories, namely “themes concerning the LM approach itself” and “themes concerning factors outside the LM approach”. The restricted number of the databases searched and the subjectivity of classifying the large number of the country-related future research proposals into themes are the main limitations of the present SLR. Based on these limitations, future literature review studies can be carried out. Useful proposals are provided to researchers of several countries for conducting original and country-specific research studies which can enrich the knowledge of the implementation of LM under the specific circumstances of a country for the benefit of practitioners. This study goes beyond previous literature review studies on LM by focusing exclusively on the LM future research agenda which is country related. The analytical presentation of the country-related future research proposals as well as the formulation of clusters of these proposals make the present SLR study substantially different from those carried out worldwide so far.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-23
      DOI: 10.1108/BIJ-01-2021-0037
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Destination brand equity and tourist's revisit intention towards health
           tourism: an empirical study

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      Authors: Muhammad Sabbir Rahman , Surajit Bag , Hasliza Hassan , Md Afnan Hossain , Rajesh Kumar Singh
      Abstract: This paper aims to investigate the relationship between destination brand equity and tourist's revisit intention towards health tourism destinations. The study also examines the mediating effect of destination brand association between destination-based brand equity and travellers' revisit intention for health tourism destinations. A survey instrument is used to examine the relationships in the proposed model using the co-variance-based structural equation modelling (SEM) technique. The collected primary data from two hundred forty-six respondents (n = 246) are analysed to test the relationship amongst exogenous, mediating, moderating and endogenous constructs articulated in the proposed structural model. Empirical findings reveal that destination brand equity influences the revisit intention of a traveller for health tourism via destination brand association. The perceived trust, reliability and soft issues of a traveller moderate the relationship between destination brand equity and destination brand association. Enduring travel involvement also proves a significant moderation effect on the relationship between destination brand association and the revisit intention of a traveller for a health tourism destination. This paper is an initial attempt to develop and empirically examine a conceptual model of the intention of a traveller to revisit a health tourism destination in a dynamic process of information search using the data collected from current travellers after medical tourism-related trips. Results suggest that stakeholders must focus on hedonic and utilitarian factors of the destination that are recognised by travellers to encourage revisit for medical tourism. Although there have been numerous studies on health tourism. However, to the best of the authors' knowledge, this research is a pioneer in the healthcare tourism literature that links destination brand equity, brand association and revisit intention of a traveller for health tourism. These findings extend the knowledge of how healthcare tourism that is embedded with destination brand equity and destination brand association. The study findings potentially benefit the marketers for gaining competitive advantages through considering the experience of a traveller.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-23
      DOI: 10.1108/BIJ-03-2021-0173
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Assessing the impact of global financial crisis on the intermediation
           efficiency of Indian banks in the presence of non-performing loans

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      Authors: Anju Goswami
      Abstract: By incorporating the role of nonperforming loans (NPLs), the study aims to assess the impact of global financial crisis (GFC) on the intermediation efficiency of Indian banks for the period of 1998/99 to 2016/17. To obtain efficiency level of Indian banks, this study applied sequential data envelopment analysis (DEA) based directional distance function (DDF) approach, which performed simultaneous expansion of desirable output and reduction of undesirable output in the bank's loan production structure. Additionally, using fixed effect regression approach in the panel data framework, this study assesses both the phenomenon of σ- and unconditional β-efficiency convergence in public sector banks (PSBs), private banks (PBs), foreign banks (FBs) and overall scheduled commercial banks (SCBs) during the pre-crisis, crisis and post-crisis years in India. Irrespective of the bank's production model, the evidence suggests that the accounting NPLs as an undesirable output significantly deteriorating the intermediation technical efficiency levels of Indian banks, especially after the crisis years until the last year of the study period. This reflects that Indian banks failed more to achieve their financial intermediation objective in the post-crisis years as compared to the crisis and pre-crisis years. In-depth, statistical evidence of commercial bank ownership groups reveals that public sector banks exhibit a higher level of efficiency in pursuance of traditional loan-based activity followed by private and foreign banks. The study also found the existence of sigma convergence in technical efficiency levels of Indian banks and ownership groups as well. This study is perhaps the first one, which present the robust evolution of Indian banks intermediation efficiency by taking into account both endogenous (i.e. NPLs as an undesirable output and equity as a quasi-fixed input in the bank production process) crisis and exogenous (i.e. global financial and economic stress) crises. Moreover, none of the existing studies have conducted sub-period wise analysis to show the apparent occurrence of both convergence properties in technical efficiency, adding novelty in the literature.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-22
      DOI: 10.1108/BIJ-11-2020-0600
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A stochastic fuzzy multi-criteria group decision-making for sustainable
           vendor selection in Indian petroleum refining sector

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      Authors: Mohammad Akhtar , Md Tanweer Ahmad
      Abstract: This paper aims to select key criteria for sustainable vendor assessment and spare-parts supplies in the Indian petroleum refining sector using stochastic fuzzy technique for order of preference by similarity to ideal solution (SFTOPSIS). The criteria for sustainable vendor evaluation and selection are identified from the review of the literature and further; it is finalized using the Delphi method. Eight supply chain (SC) experts from the Indian petro refining sector were identified as having more than five years of experience and agreed to participate in this study (known as decision-makers (DM)). Five vendors supplying spare-parts are shortlisted from the market with the discussion and consent of procurement experts from petroleum refineries. Subsequently, criteria and vendors are rated based on relative importance in linguistic terms from the group of eight DMs. As ratings involve uncertainties in the decision-making, the SFTOPSIS method is applied to determine criteria weight and vendor ranking at a distinct significance level (α). The ranking of the vendors is obtained for sustainable supply of spare-parts in the Indian petro refining sector using the SFTOPSIS method. The ranking of sustainable vendors is obtained through the integrated application of the fuzzy and stochastic approach to capture the uncertainties in the ratings of DMs. The sensitivity analysis is carried out at distinct confidence limits of a normal distribution to obtain a robust ranking of the vendors. In this paper, a case application of SFTOPSIS in the Indian petro refining sector is presented in which key criteria and the vendor ranking are found to be changing with confidence limit for sustainable vendor evaluation. The fuzziness and randomness in relative ratings collects from a group of DMs are taken in the proposed methodology. The distinct approaches are compared with changing significance-level under stochastic, fuzzy and deterministic TOPSIS to acquire robustness in the ranking. The proposed SFTOPSIS model can be useful to practitioners from the petroleum sector. The originality of the paper contributes to an application of the SFTOPSIS method that is the extension of FTOPSIS in the petro refining sector of a developing country. The sensitivity analysis with distinct significance-level shows the uncertainties in the collected ratings from the DMs that supports robustness in the ranking. It might be helpful for SC professionals from the petro refining sector, who assess the rank of the vendors at different confidence limits for sustainable supply of spare-parts. Further research in the petroleum industry from emerging economies needs to be undertaken to broaden its scope and applicability.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-14
      DOI: 10.1108/BIJ-09-2020-0500
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Analysis of operational and financial performance of ports: an integrated
           fuzzy DEMATEL-TOPSIS approach

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      Authors: C. Gayathri , V. Kamala , M.S. Gajanand , S. Yamini
      Abstract: Ports handle a significant portion of international cargo, so the performance of ports plays a major role in the economic development of a country. This paper aims to study how port performance depends on various interdependent factors and how it requires a holistic approach, which accounts for all the necessary criteria that contribute to the overall efficiency and performance. An integrated fuzzy DEMATEL-TOPSIS approach with an objective to evaluate the operational capability and financial performance of the ports is proposed. A case study is presented with an analysis of the major South Indian ports to assess port operational performance and evaluate various financial ratios to assess financial performance. Through a review of the literature and based on the inputs from experts, six criteria affecting the operational performance and six financial criteria were identified. The debt coverage ratios turned out to be the most important, while the liquidity ratios were the least important. The six operational criteria have almost similar importance. The final results indicate a consistent overall performance by the Ennore Port, except during one financial year. The proposed solution approach helps to identify and concentrate on the criteria that affect port performance. It will also help to evaluate and understand the dynamics involved in the performance of ports. This work highlights the key measurable operational and financial criteria that affect the efficiency of ports. The integrated fuzzy DEMATEL-TOPSIS approach provides a better way to evaluate and benchmark port performance.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-12
      DOI: 10.1108/BIJ-03-2020-0123
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Does personality affect the individual's perceptions of organizational
           justice' The mediating role of organizational politics

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      Authors: Arun Aggarwal , Kamrunnisha Nobi , Amit Mittal , Sanjay Rastogi
      Abstract: The personality of an individual plays a vital role in the way an individual perceives organizational politics and justice in the workplace. However, there is meager research on how an individual's personality affects the perceptions of organizational politics and justice. This study endeavors to fill this gap by analyzing the mediating role of organizational politics perceptions on the relationship between Big Five personality dimensions and organizational justice by controlling various demographic variables. The study also proposes a benchmarking model that the policymakers can use to create positive organizational justice perceptions. In this cross-sectional research, the data were collected through a multi-stage random sampling technique from 493 faculty members working in four public universities of Punjab, India. Out of 493 employees, 76.9% of the employees were assistant professors, 12.0% were associate professors and 11.2% were assistant professors. 51.5% of the employees were female, and 48.5% of the employees were male. To test the proposed hypothesized relationships, a structural equation modeling technique was used. Results of the structural equation modeling showed that openness to experience, conscientiousness and extraversion have a negative relationship with perceptions of organizational politics. However, their relationship with perceptions of organizational justice is positive. Neuroticism has a positive relationship with perceptions of organizational politics, whereas it has a negative relationship with perceptions of organizational justice. Results also showed that high perceptions of organizational politics have a negative effect on employee's perceptions regarding organizational justice. The mediation analysis results showed that perceptions of organizational politics mediate the relationship between an individual's personality and perceptions of organizational justice. There is a scant amount of research available that considers Big Five personality dimensions and organizational politics as the antecedents of organizational justice. Hence, the current study tries to fill this research gap by proposing a research model on antecedents and consequences of perceptions of organizational politics based on the cognitive-affective processing system (CAPS).
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-08
      DOI: 10.1108/BIJ-08-2020-0414
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Investigating the role of electric vehicle knowledge in consumer adoption:
           evidence from an emerging market

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      Authors: Deepak Jaiswal , Rishi Kant , Pankaj Kumar Singh , Rambalak Yadav
      Abstract: The use of electric vehicles has received popularity as alternative fuel vehicles to reduce greenhouse gas emissions and energy cost, which are expected to perform a crucial role in the near future of emerging mobility markets. The purpose of this empirical study is to analyse the role of electric vehicle knowledge in predicting consumer adoption intention directly and indirectly in the backdrop of an emerging market. The study approached an extended version of “Technology acceptance model” (TAM) based on the integrated framework of “knowledge-beliefs-intention”. The model was tested via direct and indirect path analyses with the data collected from Indian respondents using an online survey. The results indicate the robustness of the present research model, which shows that consumer adoption is significantly driven by electric vehicle knowledge, perceived usefulness, perceived ease of use and perceived risk. Electric vehicle knowledge has emerged as the most powerful cognitive measure, which directly affects the adoption intention along with the measures of “TAM”. Additionally, this also poses a higher indirect effect on adoption intention in the integrated model. The study has focused on potential young and educated consumers, which may not be warranted to generalise the research findings, while youth or millennials are more receptive to adopt innovative and clean technology products like electric vehicle. Based on the findings, implications are offered for encouraging electric vehicles in the backdrop of emerging automobile markets. Concerning this cognitive phenomenon of knowledge, scant literature has been explored the role of subjective knowledge in consumer adoption for electric vehicles, particularly in the emerging markets like India. Thus, the present study analyses how consumers' knowledge about electric vehicle affects their decision to adopt this in the near future of Indian zero-emission mobility market.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-08
      DOI: 10.1108/BIJ-11-2020-0579
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Impact of overconfidence bias in stock trading approach: a study of high
           net worth individual (HNI) stock investors in India

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      Authors: Shiba Prasad Parhi , Manas Kumar Pal
      Abstract: The purpose of the study is to check whether Indian high net worth individual (HNI) investors are suffering from overconfidence bias in personal life and in-stock investment approach. The study is to benchmark an ideal behaviour that an investor should exhibit under the overconfidence bias. Both qualitative and quantitative methods were used to study the Indian HNI investors with overconfidence bias. As a first step, an exploratory study was conducted to identify the variables to define overconfidence bias. An extensive literature review along with in-depth interviews was conducted amongst investors, fund managers and the subject experts to check the content validity of the variables. The survey instrument was designed based on the objective of the study and theoretical framework. Both descriptive and inferential statistical tools such as the Z proportion test, logistic regression and structural equation model were applied to test the hypotheses. It was found that there is a moderate impact of overconfidence bias amongst the investors both in normal life and whilst making investments in stock. This study found the influence of overconfidence bias in stock investment with respect to forecasting of the stock price movements, overtrading, overanalysis and overreaction. This paper will help in understanding the Indian HNI investors’ behaviour under the impact of overconfidence bias. There is an empirical study to understand the implication of overconfidence bias on stock investors specifically for the HNI investors. This study gives an insight into the fund managers to understand the Indian HNI investment behaviour. It is also helpful for HNI investors to understand and correct their behavioural biases related to overconfidence. This paper will guide investors to understand the symptoms and repercussions of overconfidence bias in stock investment. They can also realize the subtle impact of overconfidence bias in personal and professional life, thus preventing them from making losses. This work is the extension of the works of Terrace Odean on behavioural finance in the Indian Stock Investors' context. The concept of overconfidence bias and its implications of finance were developed by Kahneman and Tversky, and later by other behavioural finance researchers such as Malmendier, Hirshleifer, DeBondt, Odean, Barber, Shefrin and others. This paper studies stock investing behaviour with specific reference to Indian HNI investors.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-06
      DOI: 10.1108/BIJ-07-2020-0389
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Prioritizing the economic indicators of SSC: an integrative QFD approach
           of performance prism and BSC

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      Authors: Ali Goharshenasan , Abbas Sheikh Aboumasoudi , Arash Shahin , Azarnoush Ansari
      Abstract: This paper aims to propose an integrative economic model of the GRI (Global Reporting Initiative) and performance prism based on concurrent engineering and developed balanced scorecard (BSC). In this paper, the supplier aspect added to the basic BSC framework, a quality function deployment (QFD) developed in four phases and the economic GRI priorities were determined. Finally, the outcomes of QFD were used in Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for ranking the economic indicators. The indicators of financial interpretation, risks and opportunities had the first rank in learning and growth, internal processes, customer and financial BSC aspects, and they had the second rank only in the suppliers' BSC aspect. In this paper, merely the economic indicators of the GRI standard was studied, and no comparison was made between the variables of the other standards and the GRI standard. The most important contribution of this study is merging the supplier aspect and BSC based on the concept of suppliers, inputs, process, outputs and customers (SIPOC) in supply chain analysis. Achieving economic sustainability by a concurrent engineering approach is another novelty of this paper. The proposed model was examined in the tile and ceramic industry for the first time.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-07-01
      DOI: 10.1108/BIJ-11-2020-0582
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Analysis of the interrelationships between enablers and results in King
           Abdullah II award for excellence model

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      Authors: Ibrahim Rawabdeh , Mazen Arafah , Mohannad Mousa Mustafa
      Abstract: This study aims to validate the KAIIAE model in the public sector and analyse the interrelationships between Enablers and Results in the King Abdullah II Award for Excellence (KAIIAE) model to better understand the dynamic logic behind improving excellence results. The methodology used is structural equation modelling (partial least squares technique), and the data were obtained from the assessment processes for the KAIIAE for 98 Jordanian public organisations. The findings showed that the award model has proven to be a reliable and valid framework, as the criteria and sub-criteria were highly correlated. The set of Enablers was strongly related to the set of Results, and the synergies between the critical criteria confirmed the importance of leadership, strategy, and processes for the organisation's excellence results. It was found that the new significant and direct relationships between “People” and “People Results” and between “Partnerships and Resources” and both “Society Results” and “Key Results” improved the understanding and implementation of the model. There was a significant interrelationship between model criteria, excluding the relationship between “Society Results” and “Key Results”, since the government's main objective is to serve society. A new structural model for the KAIIAE with the new relationships was suggested. This paper concentrated only on the public sector, although the excellence model has been implemented in the private sector. Features of the different types of organisations were not tested. Furthermore, the variations in size, covered fields, number of employees and provided services need to be investigated further. Government award bodies can use these research findings to develop a new model version for public sector awards by combining a cohesive array of elements for any government organisational need or application. The study suggested adding new criteria or relationships or eliminating those that are not significant and have no impact on public sector organisations. The findings will assure the organisations' managers that the KAII excellence model criteria are highly correlated and synergised for public sector organisations. These criteria perform efficiently once they are considered and implemented in an interconnected manner rather than managing them independently, which makes up their management framework. This knowledge about the validity of the structure of the model allows public sector organisations to benefit fully from the self-assessment processes and improve the organisation's management, enhancing their faith in excellence award models. This study has contributed to the existing literature on the reliability and validity of business excellence models as a framework for implementing, evaluating, and improving excellence, particularly in the government sector. Several important insights have emerged from this study. The relevant analysis supports a new model structure for excellence in the public sector. Among the model structure relationships, the study identified the existence of new direct relationships between enablers and results. New significant and direct relationships are added to the model that advances the implementation and understanding of the model. Moreover, it informs theory about Excellence Award implementation in developing countries within the context of Jordan – a topic that has previously received limited attention in the international business excellence literature. Since there is limited research on the suitability of implementing the KAIIEA excellence model (that is based on nine criteria of the EFQM model) in public organisations, this work suggested introducing a new modification to the model to suit the characteristics of the public sector. The considerable prominence of the government sector has drawn attention to the excellence parameters within its organisations. Hence, a lack of studies and inadequate knowledge in the governmental management system have limited testing excellence in the public sector. This paper provides support that the excellence model (KAIIAE model that is EFQM based) is an appropriate framework by identifying direct and significant model interrelationships for the public sector based on the actual and sufficient performance of its entities so as to drive the changes of the next model generation. This is the first study that attempts to comprehend and describe the validation of the KAIIAE model in the public sector.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-28
      DOI: 10.1108/BIJ-09-2020-0475
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A scale for measuring organizational risk management maturity in the
           supply chain

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      Authors: Scott Dellana , William J. Rowe , Ying Liao
      Abstract: The purpose of this research is to develop a validated general measure of supply chain risk management maturity (SCRMM) to assess organizational risk management maturity in the context of the supply chain (SC). Dimensions and statements measuring SCRMM were developed through a literature review and consultation with experts. The instrument was refined through a pilot study and a full-scale study of 140 SC managers in the USA. A final SCRMM instrument, consisting of 25 statements, was obtained through scale purification, exploratory factor analysis, reliability analysis, and confirmatory factor analysis of construct validity. Cluster analysis was conducted to characterize the organizational groupings with respect to the instrument dimensions. SCRMM was found to be comprised of the three main dimensions of SC Risk Management Orientation, Enterprise Risk Management Integration (ERMI), and SC Risk Collaboration. ERMI was found to be comprised of the three sub-dimensions of SC Risk Mitigation, Improvement of Risk Management Processes, and Organization Internal Risk Management. Cluster analysis revealed three groups characterized according to SCRMM as leaders, followers, and laggards. The findings are based on a sample in the USA, so the SCRMM scale may not generalize to supply chains in other countries or geographic regions. The instrument provides a self-assessment and benchmark tool for businesses to advance their SC risk management through different stages of maturity. This is a pioneering general instrument that treats risk management maturity of the organization in the context of the SC. Participants span many industries and SC positions.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-28
      DOI: 10.1108/BIJ-11-2020-0578
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Evaluation of supply chain resilience index: a graph theory based approach

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      Authors: Nishtha Agarwal , Nitin Seth , Ashish Agarwal
      Abstract: The present study aims at developing a model to quantify supply chain resilience as a single numerical value. The numerical value is called resilience index that measures the resilience capability of the case company's supply chain. The model calculates the index value based on the interactions between the enablers of supply chain resilience and its dimensions. Graph theoretic approach (GTA) is used to evaluate the resilience index for the case company's supply chain. In GTA, the dimensions of resilience enablers and their interdependencies are modelled through a digraph. The digraph depicting the influence of each dimension is converted into an adjacency matrix. The permanent function value of the adjacency matrix is called the resilience index (RI). The proposed approach has been illustrated in context of an Indian automobile organization, and value of the RI is evaluated. The best case and the worst-case values are also obtained with the help of GTA. It is noted from the model that strategic level dimension of enablers is most important in contributing towards supply chain resilience. They are followed by tactical and operational level enablers. The GTA framework proposed will help supply chain practitioners to evaluate and benchmark the supply chain resilience of their respective organizations with the best in the industry. A firm can compare the RI of its own supply chain with other's supply chain or with the best in the industry for benchmarking purpose. Benchmarking of resilience will help organizations in developing strategies to compete in dynamic market scenario.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-25
      DOI: 10.1108/BIJ-09-2020-0507
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The interplay between the Internet of things and supply chain management:
           challenges and opportunities based on a systematic literature review

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      Authors: Rômulo Marcos Lardosa Rebelo , Susana Carla Farias Pereira , Maciel M. Queiroz
      Abstract: This study aims to identify and analyze how Internet of things (IoT) technology affects supply chain management (SCM) performance. A systematic literature review was conducted (using Scopus, JSTOR, Emerald, ProQuest, Science Direct and Web of Science) covering a 20-year timeframe (2000–2020). Out of 2,572 papers identified, 171 peer-reviewed papers from the most important journals were selected. Content analysis was used following the Global Supply Chain Forum (GSCF) SCM framework. Regarding the GSCF SCM framework processes, most IoT-based studies have addressed improving order fulfilment, manufacturing flow management and demand management processes. However, no studies addressing the Supplier relationship management process were identified, suggesting that IoT-based applications are perceived to add more value in downstream than upstream SCM processes. The importance of using enabling technologies to realize the potential of value generation of IoT was also revealed. Findings suggest new research avenues related to product development and commercialization process, the supplier relationship management process, the returns management process, servitization strategies, new SCM models and new business models. The review encompasses only academic papers from journals considered the most relevant (retrieved from specific databases), using the impact factor as the quality criterion. The findings can help business managers better understand the potential of IoT technology, such as the main applications identified in the literature and their impacts on SCM processes. Their importance in enabling technologies to leverage SCM performance is identified and the emerging SCM models/business models that IoT deployment can enable are highlighted. This study contributes to filling a gap in the literature using a systematic literature review of how IoT technology affects SCM performance through content analysis, using an SCM framework to clarify which SCM processes are affected. Academic articles from the most important journals from 2000 to 2020 are identified.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-21
      DOI: 10.1108/BIJ-02-2021-0085
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Supply chain performance for a traditional shipbuilding industry in
           Indonesia

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      Authors: Yugowati Praharsi , Mohammad Abu Jami'in , Gaguk Suhardjito , Samuel Reong , Hui Ming Wee
      Abstract: Study in supply chain performance research on the shipbuilding industry is lacking. The purpose of this research is to study and provide guidelines to improve the performance of traditional shipbuilding supply chains in Indonesia. The paper develops an empirical study gathered from a traditional shipbuilding industry, its suppliers, and customers. This study consists of three sections: the traditional shipbuilding industry, the suppliers, and the individual supplier scores. The internal and external performances in this study are measured using Supply Chain Operations Reference (SCOR) metrics. The SCOR model identifies five performance measurement attributes, including reliability, flexibility, responsiveness, cost and assets. Instead of using “responsiveness,” this study applies the schedule performance index, and supplements “cost” with the cost performance index in order to accurately reflect the traditional shipbuilding supply chains processes. By analyzing SCOR metrics in the traditional shipbuilding industry, it has been found that the ideal shipbuilding supply chain metrics are order fulfillment, flexibility, asset turnover and total supply chain costs. The lowest performance metric value in the traditional shipbuilding industry is the cost of goods. Some improvements are proposed to lower the high cost of ship building. An integrated economic ordering system in collaboration with all the suppliers is one of the most effective ways to reduce the cost of the traditional shipbuilding supply chains. The implementation of SCOR metrics enables management to identify the critical issues to improve. The study applies SCOR metrics to improve the traditional shipbuilding supply chains performance. The study is limited because the data collected are based on one shipbuilding industry only. To the author's knowledge, this is the first empirical analysis on the implementation of SCOR metrics to the traditional shipbuilding industry. The analysis to improve the traditional shipbuilding supply chains performance can provide managerial insights to other industries.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-15
      DOI: 10.1108/BIJ-05-2020-0232
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Toward enhanced excellence in Brazilian investment firms: the role of
           investors' personality assessment tools

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      Authors: Adriana Frantz , Rodolfo Leandro de Faria Olivo , George André Willrich Sales , Fabiana Silva
      Abstract: This research aims to investigate how personality, identified through the psychological type, can contribute to a more robust process of identifying the investor's profile. The traditional process of investor profile analysis of Brazilian financial institutions is performed through a form in which basic information is required to define the profile. By adding psychological and behavioral aspects obtained through the Myers–Briggs type indicator (MBTI) typology, institutions participating in the financial and capital markets could enrich the understanding of their clients. It presents a quantitative approach, with an exploratory-descriptive focus, with a survey carried out on a sample of 613 investors, in which nonparametric tests were performed to test hypotheses on the influence of personality on the behavioral aspects of these investors. The results showed a relationship between the dimensions of the personality type and the investment profile, indicating that personality is a relevant factor in guiding investor behavior. In this context, evidence of the applicability of the principles of behavioral finance to investor behavior was found, to the detriment of traditional finance principles. Findings help investors to plan and manage their finances more appropriate manner. Financial institutions can create more accurate and realistic investor profile analysis processes, adding psychological and behavioral aspects obtained through the MBTI typology. In this way, companies and financial advisors will be able to provide a better-quality service to their clients, recommending the most appropriate investment strategies. The elements originality of this study are as follows: (1) methodology: there is a lack of research covering the application of personality assessment tools, particularly the MBTI, to improve investor's profile analysis; (2) geographical coverage: lack of research of the theme in Brazil and Latin America in general; (3) robustness of the database.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-11
      DOI: 10.1108/BIJ-09-2020-0488
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Productivity growth, catching-up and technology innovation in microfinance
           institutions in India: evidence using a bootstrap Malmquist Index approach
           

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      Authors: Asif Khan , Rachita Gulati
      Abstract: This paper aims to examine the total factor productivity (TFP) change and its components: efficiency change and technical change in microfinance institutions (MFIs) in India operating from 2005 to 2018. The study also scrutinizes the variations in productivity levels across the distinct organizational form and size groups of MFIs. In addition to this, the authors identify the contextual factors that determine TFP growth, catching-up and technology innovation in MFIs. The study employs a smooth homogeneous bootstrap estimation procedure of Simar and Wilson (1999) for obtaining reliable estimates of Malmquist indices –productivity and its components – in a data envelopment analysis (DEA) framework for individual MFIs. In order to identify the determinants of productivity change and its components, the study follows Simar and Wilson's (2007) guidelines and applies a bootstrap truncated regression model. The double bootstrap procedure performs well, both in terms of allowing correct estimation of bias and deriving statistically consistent productivity estimates in the first and root mean square errors in the second stage of the analysis. The empirical results reveal that the MFIs have shown average productivity growth of 6.70% during the entire study period. The observed productivity gains are primarily contributed by a larger efficiency increase at the rate of 4.80%, while technical progress occurs at 2.3%. Nonbanking financial companies (NBFC)-MFIs outperformed non-NBFC-MFIs. Small MFIs show the highest TFP growth in terms of size groups, followed by the large MFIs and medium MFIs. The bootstrap truncated regression results suggest that the credit portfolio, size and age of MFIs matter in achieving higher productivity levels. The practical implication drawn from the study is that the Indian MFI industry might adopt the latest technology and innovations in the products, risk assessment and credit delivery to improve their productivity levels. The industry must focus on enhancing the managerial skill of its employees to achieve a high productivity level. This study is perhaps the initial attempt to explain the productivity behavior of MFIs in India by deploying a statistically robust double bootstrap procedure in the DEA-based Malmquist Productivity Index (MPI) framework. The authors estimate the bias-adjusted productivity index and its decompositions, which represent more reliable and statistically consistent estimates. For contextual factors responsible for driving productivity change, the study deploys a bootstrap truncated regression approach.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-10
      DOI: 10.1108/BIJ-10-2020-0535
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Embracing the employee orientation: does customer relationship matter in
           brand building'

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      Authors: Deepika Jhamb , Nidhi Kampani , Vikas Arya
      Abstract: The study aims to explore the themes responsible for employee orientation and further their role in building strong customer relationships in telecom and organized retail outlets in emerging markets. Employing the qualitative approach, a total of 31 in-depth interviews with customer relationship management (CRM) officers of telecom and organized outlets were carried out. Data were analysed using NVIVO-12 plus and ATLAS tools. The analysis extracted 13 unique themes namely training and development, communication skills, convincing skills, interpersonal skills, knowledge management, grievance handling, organisation's culture development, service climate, adaptive behaviour, customer retention skills, customer profiling, trust and commitment, and suitability of employees. The results claimed that these themes can assist in building strong customer relationships. However, the extent of the significance of themes may vary for telecom and organized retail outlets. The findings have vital implications for frontline employees to drive customer value as they directly involve with customers. Findings further suggest that hiring of employees according to their location and catchment area of outlets are utmost important. Employee orientation is an indispensable determinant in building a sustainable relationship with customers through uniqueness and consistency in meeting customers' expectations. This is a first attempt to explore the various unique themes responsible for employee orientation and the imperative role of such themes in maintaining long-lasting customer relationships.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-10
      DOI: 10.1108/BIJ-12-2020-0614
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Modelling enablers of efficiency and sustainability of healthcare: a
           m-TISM approach

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      Authors: Rahul Sindhwani , Rajender Kumar , Abhishek Behl , Punj Lata Singh , Anil Kumar , Tanmay Gupta
      Abstract: It would not be an exaggeration to say that healthcare is the most crucial one in today's perspective. The healthcare sector, in general, is engaged in working on various dimensions simultaneously like the safety, care, quality and cost of services, etc. Still, the desired outcomes from this sector are far away, and it becomes pertinent to address all such issues associated with healthcare on a priority basis for sustaining the outcomes in a long-term perspective. The present study aims to explore the healthcare sector and list out the directly associated enablers contributing to increasing the viability of the healthcare sector. Besides, the interrelationship among the enlisted enablers needs to be studied, which further helps in setting-out the priority to deal with individual enablers based on their impedance in the contribution towards viability increment. The authors have done an extensive review to list out the enablers of the healthcare sector to perform efficiently and effectively. Further, the attempt has been made on the enablers to rank them by using the modified Total Interpretative Structure Modelling (m-TISM) approach. The validation of the study reveals the importance of enablers based on their position in the hierarchical structure. Further, the MICMAC analysis on the identified enabler is performed to categorize the identified enablers in the different clusters based on their driving power and dependence. The research tries to envisage the importance of the healthcare sector and its contribution towards national development. The outcomes of the m-TISM model in the present study reveal the noteworthy contribution of the organizational structure in managing the healthcare facilities and represented it as the perspective of future growth. The well-designed organizational structure in the healthcare industry helps in establishing better employee–employer cooperation, workforce coordination and inter-department cooperation. Every research work has limitations. Likewise, the present research work also has limitations, i.e. input taken for developing the models are from very few experts that may not reflect the opinion of the whole sector. The healthcare sector is the growing sector in the present-day scenario, and it is essential to keep the quality of treatment in check along with the quantity. The present study has laid down the practical foundations for improvement in the healthcare sector viability. Besides, the study emphasized on accountability of the healthcare sector officials to go with the enablers having the strong driving power for effective utilization of all the resources. This would further help them in customer (patients) satisfaction. Despite an increase in demand for good quality healthcare facilities worldwide, the growth of this sector is bounded by the economic, demographic, cultural and environmental concerns, etc. The present study proposed a unique framework that provides a better understanding of the enablers. It would further help in playing a key role in increasing the viability of the healthcare sector. The hierarchy developed with the help of m-TISM and MICMAC analysis will help the viewers to recognize the important enablers based on their contribution to the viability improvement of the healthcare sector.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-08
      DOI: 10.1108/BIJ-03-2021-0132
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Optimization of a two-echelon supply chain with random demand and random
           defect rate under strict carbon cap policy

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      Authors: Arindam Ghosh
      Abstract: The yield of defective items and emissions of greenhouse gases in supply chains are areas of concern. Organizations try to reduce the yield defective items and emissions. In this paper, a constrained optimization model is developed with consideration of the yield of defective items and strict carbon cap policy simultaneously and then optimized. Further, sensitivity analyses have been carried out to draw different managerial insights. Precisely, we have tried to address the following research questions: (1) how to optimize the cost for a two-echelon supply chain considering yield of defective items and strict carbon cap policy, (2) how the total expected cost and total expected emissions act with changing parameters. The mathematical modeling approach has been adopted to develop a model and further optimized it with optimization software. Costs and emissions from different areas of a supply chain have been derived and then the total cost and total emissions have been formulated mathematically. One constrained mixed-integer nonlinear programming (MINLP) problem has been formulated and solved considering emissions-related, velocity and production related-constraints. Further, different sensitivity analyses have been derived to draw some managerial insights. In this paper, many decision variables have been calculated with a set of basic values of other parameters. It has been found that both cost and emissions can be controlled by controlling different parameters. It has been also found that some parameters have very little or no influence either on cost or emissions. In most cases, originations may exhaust the given limit of carbon cap to optimize their costs. In spite of my sincere efforts, no paper has been found that has considered the yield of defective items and strict carbon cap policy simultaneously. In this paper, it is assumed that both demand and defect rates are random in nature. The model, presented in this paper may give insights to develop different supply chain models with consideration of both defective items and strict carbon cap policy. Sensitivity analyses, drawn in this paper may give deep insights to managers and carbon regulatory bodies.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-08
      DOI: 10.1108/BIJ-10-2020-0537
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Benchmarking absorptive capacity for sustainability: a study of Indian
           firms

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      Authors: Kumar Verma Bhupendra , Shirish Sangle
      Abstract: The paper aims to explore the attributes and systemic characteristics of absorptive capacity in sustainability oriented firms in India. Such understanding shall pave a way to integrate knowledge about societal stakeholders with technological and market knowledge. The study may help other firms to benchmark their business process considering sustainability aspects to integrate a broader set of stakeholders in decision making. A questionnaire-based survey was conducted to gather responses from 689 managers of 60 firms belonging to various industry sectors. Absorptive capacity of firms based on result of factorial analysis, variances explained by factors and rank of attributes is presented. The study provides a glimpse of variability in steps taken by firms to remain competitive in current and future markets. This study highlights the importance of benefits sharing among alliance partners, knowledge-management processes, social integration for tacit knowledge and exploration of new knowledge sources. Surveyed firms require improvements in employee's skill set up-gradation, exploitation of knowledge spread across different departments and suitable training systems to promote knowledge sharing behaviour. The sample of study covers respondents mainly from Health, Safety and Environment/Sustainability/Clean Development Mechanism departments so leading to certain biasness in their perception. The study may lead organizations to transform business processes to integrate stakeholder's concerns and expectations. The study may help organisations to develop important attributes of absorptive capacity for effective integration of stakeholders considering sustainability challenges. This research article enhances understanding on common aspects of absorptive capacity, dynamic capability and sustainability strategies.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-08
      DOI: 10.1108/BIJ-12-2020-0627
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Benchmarking the practices of flexibility with maturity models and
           frameworks of organizational capabilities

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      Authors: Sanjai Kumar Shukla , Sushil
      Abstract: Organizational capabilities are crucial to achieve the objectives. A plethora of maturity models is available to guide organizational capabilities that create a perplexing situation about what stuff to improve and what to leave. Therefore, a unified maturity model addressing a wide range of capabilities is a necessity. This paper establishes that a flexibility maturity model is an unified model containing the operational, strategic and human capabilities. This paper does a comparative analysis/benchmarking studies of different maturity models/frameworks widely used in the information technology (IT) sector with respect to the flexibility maturity model to establish its comprehensiveness and application in the organization to handle multiple goals. This study confirms that the flexibility maturity model has the crucial elements of all the maturity models. If the organizations use the flexibility maturity model, they can avoid the burden of complying with multiple ones and become objective-driven rather than compliance-driven. The maturity models used in information technology sectors are used. This work will inspire other maturity models to adopt flexibility phenomena. The comparative analysis will give confidence in application of flexibility framework. The business environment and strategic options across organizations are inherently different that the flexibility maturity model well handles. A choice is put to an organization to see the comparison tables produced in this paper and choose the right framework according to the prevailing business situation. This is the first study that makes a conclusion based on comparative benchmarking of existing maturity models.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-04
      DOI: 10.1108/BIJ-08-2020-0459
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • An analysis of the effects of stakeholders management on IT project risks
           using Delphi and design of experiments methods

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      Authors: Letícia Barbosa Gomes Figueiredo Filho , Marina Bouzon , Diego de Castro Fettermann
      Abstract: This study aims to evaluate how stakeholders affect project risks by analyzing the connection between stakeholder management and risk management in the information technology (IT) project context. Using the Delphi method, interviews with IT project experts were conducted to examine four factors concerning stakeholder management and define probabilities for three risk variables. The design of experiments (DoE) method was applied for the design of the research instrument and data analysis. Stakeholder engagement and communication with stakeholders have significant influence on the occurrence of negative risks, opportunities and the development of contingency strategies. These results provide project leaders with relevant data that better guide actions toward stakeholders and enhance project success probability. This study clarifies important aspects of two main project management areas – stakeholder and risk management – in the IT projects context. This research also presented an unusual application for the DoE method which allows the subjective variables analysis by statistical tools and enables to explore factor influences on real project situations.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-02
      DOI: 10.1108/BIJ-10-2020-0549
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A multi-attribute data mining model for rule extraction and service
           operations benchmarking

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      Authors: Hannan Amoozad Mahdiraji , Madjid Tavana , Pouya Mahdiani , Ali Asghar Abbasi Kamardi
      Abstract: Customer differences and similarities play a crucial role in service operations, and service industries need to develop various strategies for different customer types. This study aims to understand the behavioral pattern of customers in the banking industry by proposing a hybrid data mining approach with rule extraction and service operation benchmarking. The authors analyze customer data to identify the best customers using a modified recency, frequency and monetary (RFM) model and K-means clustering. The number of clusters is determined with a two-step K-means quality analysis based on the Silhouette, Davies–Bouldin and Calinski–Harabasz indices and the evaluation based on distance from average solution (EDAS). The best–worst method (BWM) and the total area based on orthogonal vectors (TAOV) are used next to sort the clusters. Finally, the associative rules and the Apriori algorithm are used to derive the customers' behavior patterns. As a result of implementing the proposed approach in the financial service industry, customers were segmented and ranked into six clusters by analyzing 20,000 records. Furthermore, frequent customer financial behavior patterns were recognized based on demographic characteristics and financial transactions of customers. Thus, customer types were classified as highly loyal, loyal, high-interacting, low-interacting and missing customers. Eventually, appropriate strategies for interacting with each customer type were proposed. The authors propose a novel hybrid multi-attribute data mining approach for rule extraction and the service operations benchmarking approach by combining data mining tools with a multilayer decision-making approach. The proposed hybrid approach has been implemented in a large-scale problem in the financial services industry.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-01
      DOI: 10.1108/BIJ-03-2021-0127
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Benchmarking organisational innovativeness types for sustainability: a
           study of Indian firms

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      Authors: Kumar Verma Bhupendra , Shirish Sangle
      Abstract: The paper aims to explore the attributes and systemic characteristics of organisational innovativeness types in sustainability oriented firms in India. In dynamic business environment amid sustainability challenges, benchmarking organisational innovativeness of sustainability oriented firms may pave a way for many other firms to develop suitable strategies. The paper also presents the role of innovativeness in risk-management. A questionnaire-based survey was conducted to gather the responses from 689 managers of 60 firms operating in India and displaying traits of sustainability orientation. Generic organisational innovativeness characteristics of these firms are presented based on result of factor analysis and variances explained by respective factors. Innovativeness characteristics have been discussed in context of sustainability and environmental management. Study provides the glimpse of variability in steps taken by firms to remain competitive in current and future markets. The paper also offers a new factor of organisational innovativeness as “risk-innovativeness” and presents its role in disruptive and sustainable innovation. The study adds to existing literature by providing a measure of organisational innovativeness types and proposes a definition of “risk-innovativeness” and opens a new avenue for further exploration. The study may help organisations operating in emerging economies to benchmark and develop attributes of organisational innovativeness types considering sustainability challenges and uncertain market conditions. The study may guide other firms to benchmark their current innovativeness standing and may help in developing suitable attributes leading to combat negative impacts of climate change by developing sustainable innovations. There are no existing studies which offer organisational innovativeness types of sustainability oriented firms, especially in emerging and developing economies context.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-06-01
      DOI: 10.1108/BIJ-11-2020-0592
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The effect of TQM practices on INGOs' staff work-related attitudes

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      Authors: Noorliza Karia , Firas Izzat Mahmoud Saleh
      Abstract: This paper aims to investigate the impact of total quality management (TQM) practices on the work-related attitudes of International Non-Governmental Organisations (INGOs) staff, including job involvement, job satisfaction, career satisfaction and organisational commitment. The paper developed and tested 16 hypotheses on the relationship between TQM practices and work-related attitudes. Out of 295 targeted staff working for 59 INGOs operating in Jordan, 126 staff have responded to the research questionnaire. The collected dataset has been analysed using the structural equation modelling-partial least square (SEM-PLS) technique. Analysis of the data revealed the significant positive effect of TQM practices. Beneficiary focus, empowerment-teamwork and continuous improvement impact 35% of job involvement. Meanwhile, beneficiary focus and empowerment-teamwork affect 34 and 47% of career satisfaction and organisational commitment, respectively. Significantly, empowerment-teamwork and continuous improvement determine 62% of job satisfaction. However, the low extent of training and education is challenging to enhance employees' positive emotions. This research provides further evidence on the importance of TQM practices to the leaders of INGOs. Therefore, to orient their resources towards TQM implementation to enhance work-related attitudes, and in turn, the performance of interventions in this challenging sector. This research extends the knowledge regarding certain TQM practices that naturally and variably empower job and career satisfaction, job involvement, and organisational commitment within the INGOs. Therefore, to confirm the validity of this research direction in a new uncovered sector, which has its own specificities.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-05-31
      DOI: 10.1108/BIJ-02-2021-0080
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • How to use spontaneous customer comments to identify nonlinear background
           of satisfaction with restaurant services

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      Authors: Gerson Tontini , Luís Irgang , Adriana Kroenke , Ivan Hadlich , Jaime Dagostim Picolo , Josip Mikulic
      Abstract: The purpose of this study is to demonstrate how to use customer spontaneous comments to identify which aspects influence the overall customer satisfaction with restaurant services from a nonlinear perspective. The authors collected data from 399 spontaneous comments about a chain of fast-food restaurants in Brazil. The comments are freely available on the TripAdvisor portal and were extracted and classified according to seven dimensions related to the quality of services: tangibles, reliability, responsiveness, assurance, empathy, quality of the food and price. Next, the authors combine the critical incident technique (CIT) and the penalty-reward contrast analysis (PRCA) to investigate the nonlinear relationship between service quality assessment and overall customer satisfaction. The method of integrating CIT with PRCA explains 64.7% of the variation in the customer's assessment of the services provided (RAdj2 = 0.647). This shows that spontaneous comments from customers are related to their overall satisfaction with the service provided. Besides, the findings suggest that consumers tend to comment more about positive than negative experiences regarding aspects related to food, attendants' empathy and service assurance, and more negative comments about aspects related to responsiveness and price. However, it was found that negative comments have a stronger influence on overall satisfaction than positive comments. Using comments available for free on the Internet and evaluating how positive and negative comments can jointly influence customer satisfaction, the proposed methodology demonstrates how restaurants can use their customers' spontaneous comments to identify critical aspects to be managed and improved. To the best of authors’ knowledge, this is the first study presenting how restaurants can use customer spontaneous comments, freely available on the internet, to identify the relevance of different aspects of the services provided from a nonlinear perspective. In addition, the present study shows that although customers spontaneously tend to share more positive than negative comments about restaurant services, events related to negative experiences have a stronger influence on overall satisfaction.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-05-31
      DOI: 10.1108/BIJ-08-2020-0409
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A framework for supply chain coordination strategy in Indian engineering
           manufacturing and automobile sectors

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      Authors: Prabir Kumar Bandyopadhyay , Bowon Kim
      Abstract: In the present study, the authors have explored the research questions, “How do companies in the engineering and automobile manufacturing sector in India determine the coordination strategy with their suppliers'” and “Can we develop a framework which helps the company adopt a particular coordination strategy'” The authors also aimed for developing a generalizable theory of supply chain coordination (SCC) strategy. The authors have studied upstream SCC practices at eight Original Equipment Manufacturers (OEMs) in the Indian engineering manufacturing and automobile sector and identified 11 types of SCC in three categories of suppliers, namely large, medium and small. Each SCC is characterized by the category of items as the authors found the OEMs follow different strategies for different types of items. Initially, the authors started the study with the objective of strategy discovery, and later on, they prescribed a strategic framework based on the consolidated knowledge that they gathered at the discovery phase. The authors propose a SCC strategy framework consisting of four dimensions, i.e. time horizon, the formality of engagement, price and volume for the upstream supply chain. With the framework, the authors have identified the driving factors for choosing a particular strategy. The authors have found both OEMs and suppliers in India prefer to have a long-term relationship for building trust, which helps both the OEMs and the suppliers to go the extra mile when needed. Apart from large suppliers supplying technology and proprietary items, OEMs prefer to have an informal relationship so that they enjoy flexibility and attain agility. The price and volume dimensions are dependent on who enjoys more bargaining power. The authors propose a SCC strategy framework consisting of four dimensions, i.e. time horizon, formality of engagement, price and volume for the upstream supply chain. With the framework, the authors have identified the driving factors for choosing a particular strategy. The authors have found that both OEMs and suppliers in India prefer to have a long-term relationship for building trust, which helps both the OEMs and the suppliers to go the extra mile when needed. Apart from large suppliers supplying technology and proprietary items, OEMs prefer to have an informal relationship so that they enjoy flexibility and attain agility. The price and volume dimensions are dependent on who enjoys more bargaining power. This study made a substantial contribution to the literature by presenting a SCC strategy framework, ISCM (Indian Supply Chain Coordination Model). To the best of the authors’ knowledge, in the literature, there was no concrete framework for analyzing the coordination strategy specific to the Indian situation. The framework proposed has been derived based on empirical findings; hence, it is not a conceptual one. The authors also developed a supply chain typology. This study made a substantial contribution to the literature by presenting a SCC strategy framework, ISCM. To the best of the authors’ knowledge, in the literature, there was no concrete framework for analyzing the coordination strategy specific to the Indian situation. The framework proposed has been derived based on empirical findings; hence, it is not a conceptual one. The authors also developed a supply chain typology.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-05-31
      DOI: 10.1108/BIJ-11-2020-0572
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Electronic customer relationship management (E-CRM), customer experience
           and customer satisfaction: evidence from the banking industry

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      Authors: Pushpender Kumar , Anupreet Kaur Mokha , Subash Chandra Pattnaik
      Abstract: The purpose of this paper was to examine the relationship between electronic customer relationship management (E-CRM) and customer satisfaction through the mediating role of customer experience in the banking industry. The data were collected from customers of 10 banks (5 public and 5 private sector banks) of Delhi, India. In total, 836 useable structured questionnaires were filled, and the data were analyzed using structural equation modeling (SEM) through AMOS. The results revealed that customer experience mediated the relationship between E-CRM and customer satisfaction confirming well with the hypothesized model. The model was tested in the domain of banking industry; future results may be conducted in different domains for improving generalizability. A comparative study between public and private sector banks in terms of E-CRM, customer experience and customer satisfaction could also be conducted. The study was the first to unequivocally analyze the influence of the E-CRM on customer satisfaction through customer experience in the banking industry. The study also introduced stimulus-organism-response (S-O-R) model as a theoretical support to associate E-CRM to customer satisfaction through customer experience. Thus, this study will enhance the current knowledge base and will also aid E-CRM managers amid decision-making process.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-05-27
      DOI: 10.1108/BIJ-10-2020-0528
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Total quality management and sustainability in the public service sector:
           the mediating effect of service innovation

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      Authors: Ohoud Ali AlShehail , Mehmood Khan , Mian Ajmal
      Abstract: This study aims to critically investigate the structural relationships between total quality management (TQM), service innovation and sustainability performance in the public service sector of the United Arab Emirates (UAE). The study employed an online survey to collect data from 400 employees working in eight selected UAE public service sector organisations located in Abu Dhabi. The collected data were analysed using structural equation modelling (SEM) to empirically examine whether TQM practices improve service innovation and, subsequently, sustainability performance in the UAE's public service sector. The results show that TQM has a significant impact on service innovation and sustainability performance in the UAE's public service sector. Additionally, service innovation partially mediates the relationship between TQM and sustainability performance. The public service sector's TQM practices and service innovation in the UAE have a much greater impact on social and environmental sustainability than on economic sustainability performance. Adopting five dimensions of TQM (following the Abu Dhabi Award for Excellence in Government Performance [ADAEP] model) across the UAE's public organisations will enable government departments to deliver innovative services to its beneficiaries. This study provides a substantial contribution by addressing the gaps in the literature. Very few studies have empirically investigated the possible association between TQM, service innovation and sustainability performance in public sector organisations, particularly in developing countries such as the UAE, where the increasing efforts in TQM practices are still in their emerging stages, mainly targeting innovative service offerings and sustainable performance.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-05-17
      DOI: 10.1108/BIJ-08-2020-0449
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Satisfaction and value-in-use perceived by university students from the
           influence of the built environment, price fairness and teaching care

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      Authors: Marcelo Benetti Corrêa da Silva , Juliana Matte , Suélen Bebber , Bianca Libardi , Ana Cristina Fachinelli
      Abstract: This research goal was to analyze factors that may influence value-in-use and satisfaction perceived by university students, from the built environment, price fairness and teaching care. For this purpose, a survey was conducted with 900 students from a university in southern Brazil. The main results proved that the antecedents considered in the study have a significant and positive influence on the value-in-use and satisfaction of university students. Furthermore, the built environment, price fairness, teaching care and satisfaction explained 87.8% of the value-in-use of students, while the built environment, price fairness and teaching care explained 74.9% of student satisfaction. The study proved that after receiving the educational service, if the student can apply his or her acquired knowledge and skills, he or she will find a fair price, will be satisfied and will obtain value in the service purchased. Thus, even if the educational market is changing in recent years, the importance of the teacher and the built environment are factors that influence price fairness and increase the satisfaction and value-in-use perceived by the student.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-05-14
      DOI: 10.1108/BIJ-12-2020-0628
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Effect of information sharing in supply chains: understanding the roles of
           supply chain visibility, agility, collaboration on supply chain
           performance

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      Authors: Charles Baah , Douglas Opoku Agyeman , Innocent Senyo Kwasi Acquah , Yaw Agyabeng-Mensah , Ebenezer Afum , Kassimu Issau , Daniel Ofori , Daniel Faibil
      Abstract: Exploring ways to acquire, sustain and improve competitive positions in supply chains through information sharing, supply chain visibility, collaboration and agility have been essential for scholars and practitioners. Basing on the relational view, resource based view and the extended resource based view, this study assesses the critical role of information sharing in supply chains through emphasizing its effect on supply chain visibility, collaboration, agility and supply chain performance. Particularly, the study proposes that information sharing, supply chain visibility, collaboration and agility collectively have crucial direct and indirect influences on supply chain performance which lead to superior gains, competitiveness and flexibility. The study adopted a survey research design, a quantitative approach and partial least square structural equation modeling (PLS-SEM) in making data analysis and interpretations due to its suitability for predictive research models. The results indicate information sharing positively and significantly influenced supply chain visibility, collaboration, agility and performance. Supply chain visibility presented significant effects on collaboration, agility and performance, while supply chain collaboration and agility had significant impact on supply chain performance. The study findings connote that information sharing is key to enhancing competitive gains and superior supply chain performance. The study is among the few to probe on how information sharing as a variable interacts with supply chain visibility, collaboration, agility and performance. Although, information sharing has received a lot of attention in supply chains, this study is among the first to capture the study variables in a single model and thus, exposes the vital need for information sharing in improving supply chain performance seeing that it ensured significant and robust impacts on the study variables.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-05-07
      DOI: 10.1108/BIJ-08-2020-0453
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Benchmarking framework for sustainable manufacturing based MCDM techniques

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      Authors: Aouag Hichem , Soltani Mohyeddine , Kobi Abdessamed
      Abstract: The purpose of this paper is to develop a model for sustainable manufacturing by adopting a combined approach using AHP, fuzzy TOPSIS and fuzzy EDAS methods. The proposed model aims to identify and prioritize the sustainable factors and technical requirements that help in improving the sustainability of manufacturing processes. The proposed approach integrates both AHP, Fuzzy EDAS and Fuzzy TOPSIS. AHP method is used to generate the weights of the sustainable factors. Fuzzy EDAS and Fuzzy TOPSIS are applied to rank and determine the application priority of a set of improvement approaches. The ranks carried out from each MCDM approach is assessed by computing the spearman's correlation coefficient. The results reveal the proposed model is efficient in sustainable factors and the technical requirements prioritizing. In addition, the results carried out from this study indicate the high efficiency of AHP, Fuzzy EDAS and Fuzzy TOPSIS in decision making. Besides, the results indicate that the model provides a useable methodology for managers' staff to select the desirable sustainable factors and technical requirements for sustainable manufacturing. The main limitation of this paper is that the proposed approach investigates an average number of factors and technical requirements. This paper investigates an integrated MCDM approach for sustainable factors and technical requirements prioritization. In addition, the presented work pointed out that AHP, Fuzzy EDAS and Fuzzy TOPSIS approach can manipulate several conflict attributes in a sustainable manufacturing context.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-30
      DOI: 10.1108/BIJ-08-2020-0452
      Issue No: Vol. 29 , No. 1 (2021)
       
  • The antecedents and consequences of green purchasing: an empirical
           investigation

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      Authors: Jie Yang , Yuan Wang , Qiannong Gu , Hongming Xie
      Abstract: This study aims to examine the impact of the supplier's coercive and cognitive pressures on a manufacturer's green purchasing decision-making process and the resultant implications in terms of operational and environmental performances. Path analysis is performed to test the hypothesized linkages. This study finds that the supplier's coercive pressure, environmental focus and socio-cultural responsibility will lead a firm to more successful implementations of green purchasing, which, in turn, results in improved operational and environmental performances. The study findings reveal that the commercial values of green purchasing in addition to social and political obligations will promote the adoption of green purchasing in supply chain management practice. This study helps business managers understand the impacts of the supplier's coercive and cognitive pressures on green purchasing and the manufacturer's resultant performances. In particular, coercive pressure is operationalized by the supplier's coercive pressure and environmental regulatory pressure, while cognitive pressure is reflected in the supplier's environmental focus and socio-cultural responsibility. This study contributes to the extant theories and enriches the literature on green purchasing.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-29
      DOI: 10.1108/BIJ-11-2020-0564
      Issue No: Vol. 29 , No. 1 (2021)
       
  • Evaluating the total quality and its role in measuring consumer
           satisfaction with e-healthcare services using the 5Qs model: a structure
           equation modeling approach

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      Authors: Prachi Verma , Satinder Kumar , Sanjeev K. Sharma
      Abstract: This article initially aims to explore the factors of every quality construct of the 5Qs model of service quality and, second, identify the significant factors affecting the total quality of e-healthcare services and its association with consumer satisfaction using a multidimensional hierarchical 5Qs model of e-healthcare service quality. Questionnaire-oriented research was performed at three public hospitals of Punjab and Chandigarh. In total, 53 variables were covered in all quality constructs for data collection from the designated public hospitals. The respondents who agreed to have knowledge regarding e-Healthcare services and were availing these services were included in the study. The analysis comprised structural equation modeling technique using AMOS 21. The outcomes suggest that the 5Qs model is more comprehensive and can be used to evaluate service quality perceptions using e-Healthcare services. The research identified 11 sub-dimensions for the five quality constructs of the 5Qs model, representing total quality, which is primary to consumer satisfaction. “Overall objectivity” and “technical objectivity” defined the quality of object. The quality of process of e-Healthcare services was characterized by “functionality,” “timeliness” and “responsiveness.” Quality of infrastructure was defined by “technical infrastructure,” “physical infrastructure,” “manpower skills” and “organizational infrastructure.” “Manner of interaction” and “timely interaction” defined the quality of interaction. The atmosphere was represented by only one factor. The results also suggest that quality of infrastructure, quality of interaction and quality of atmosphere play the most significant role in total quality leading to consumer satisfaction. Theoretical implications: The multidimensional hierarchical model will help the researchers study the e-Healthcare service quality in a more organized manner, and the outcomes of this study can be linked with that of future studies for more generalized application in other public hospitals. The sub-dimensions of each quality construct of the 5Qs model can be applied in private hospitals, and the hierarchical model can be tested in different industries to measure service quality perceptions of the consumer The outcomes of the study can be applied in various public sector hospitals to redesign the e-Healthcare services based on consumers' perception for better consumer satisfaction and quality services. This paper identifies the role of each quality construct in e-Healthcare services for improvement in the total quality, which in turn will lead to higher satisfaction for the consumers. In this study, the original 5Qs model has been used for the first time in a new instrument to understand better and design quality e-Healthcare services. The paper explores the sub-factors of each quality construct and its significance in measuring the total quality.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-29
      DOI: 10.1108/BIJ-09-2020-0467
      Issue No: Vol. 29 , No. 1 (2021)
       
  • Developing a framework for sacred grove management using stakeholder
           analysis: evidence from sacred groves in Gujarat, India

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      Authors: Amit Pandey , Kavita Sardana , Sandeep Kumar Gupta
      Abstract: The purpose of this study is to use the framework of stakeholder analysis in a participatory democracy, used in forest management planning, for arriving at the best management option for selected sacred groves of Kachchh. This is achieved by accounting for economic, cultural and ecological values and the resulting outcomes in the complex institutional mechanism. Additionally, this study provides a framework for complex decision-making that characterizes the management of sacred groves involving multiple criteria and options accounting for multiple stakeholders that involve conflicting interests. The analytical hierarchy process was used to calculate the global priorities of management options using the relative importance of stakeholders, weights of different decision criteria to arrive at the best management practice for selected groves of Kachchh. The global priorities of management options rank management practices based on stakeholders' values and their effects on the choice of management strategy as well as on the potential to attain a compromise between competing interests. For this purpose, survey responses of 141 individuals belonging to seven different stakeholder categories were analyzed. Along with focus group discussions, and personal interviews, a stratified random sampling technique was used to survey respondents. Based on the global priority weights of the alternatives, it is determined that the restoration management option (guggal is restored by planting new guggal sapplings, cattle grazing is prohibited and high levels of ecosystem goods and services are provided) had the highest score, followed by the preservation management option (grazing is allowed on the periphery, juvenile guggal is preserved and moderate ecosystem goods and services are provided). Therefore, restoration of sacred groves is the best management practice of sacred groves in West Kachchh, offering a compromise between maximizing provision of ecosystem services and economic benefits in terms of allowing cattle grazing. Though there are several studies on best management practices for community-owned forests, irrigation systems, and pasture lands, and the role of local institutions in sustaining these common-pool resources; such studies for sacred groves are absent, despite sacred groves being one of the longest surviving common-pool resources that has sustained it over several decades. This is the first study that uses the framework of stakeholder analysis to arrive at the best management practice for sacred groves. The uniqueness of the study lies in a comprehensive evaluation of ecological–economic–cultural interests of multiple stakeholders toward management of sacred groves.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-29
      DOI: 10.1108/BIJ-11-2020-0599
      Issue No: Vol. 29 , No. 1 (2021)
       
  • Performance evaluation of privatized ports by entropy based TOPSIS and
           ARAS approach

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      Authors: A. Cansu Gök-Kısa , Pelin Çeli̇k , İskender Peker
      Abstract: Ports are the key elements of maritime transportation, which is crucial for world trade. Approximately 180 port facilities are located in Turkey. After 2007, 5 of the ports, which are formerly owned by Turkish Republic Railways Administration (TRRA), are privatized. The aim of the study is to evaluate the performance of these privatized ports by multi-criteria decision-making (MCDM) approach. The application process is performed by a MCDM model. This model includes both criteria (dry bulk, liquid bulk, general cargo, container, RO-RO capacity, total port area, total berth, total berths length and depth) and alternatives (Mersin, Samsun, Bandirma, Iskenderun and Derince Ports). It determines the weights of the criteria by entropy and ranks the alternatives by ARAS and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The results of entropy, ARAS and TOPSIS methods are compared. According to these results, “container” is the most important criteria while Mersin port has the best performance. In the literature, most of the studies about this subject were analyzed by data envelopment analysis (DEA) and there are no studies had been taken into consideration ports that are owned by TRRA, in Turkey. Moreover, few of these studies used integrated MCDM models, and this is the first study that integrates entropy, ARAS and TOPSIS methods in this field.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-29
      DOI: 10.1108/BIJ-10-2020-0554
      Issue No: Vol. 29 , No. 1 (2021)
       
  • Synergistic effect of cooperation and coordination to enhance the firm's
           supply chain adaptability and performance

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      Authors: Javad Feizabadi , Somayeh Alibakhshi
      Abstract: To address how organizations should be malleable, the purpose herein is to draw on complementarity theory to examine the interaction effect of customer integration (i.e. coordination) and shared relationship governance (i.e. cooperation) on supply chain adaptability and firm's performance. A survey research design is adopted to collect primary data from 177 automotive components suppliers. After assessing the measures' psychometric properties, the hypothesized relationships are evaluated using hierarchical regression analysis supplemented by structural equation modeling and complementarity test. In the context of industrial markets, and specifically the automotive component industry, a complementary interaction effect is found between coordination and cooperation. The complementary impact was significant in affecting the supply chain adaptability and the firm's performance. Our results refine the existing supply chain integration by highlighting the complementary effect of coordination and cooperation. Understanding the true interaction effect between cooperation and coordination to develop supply chain integration avoids decision-makers' misperception over or underinvesting in activities. This research also provides key insights on the complementary effect of coordination and cooperation to establish structural flexibility in the supply chain and the ability to respond to the disruptions, such as the COVID-19 pandemic. Understanding the true interaction effect between cooperation and coordination to develop supply chain integration avoids decision-makers' misperception over or underinvesting in activities. The implications for theory and practice are also presented.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-29
      DOI: 10.1108/BIJ-11-2020-0589
      Issue No: Vol. 29 , No. 1 (2021)
       
  • Exploring the influence of supply chain collaboration on supply chain
           visibility, stakeholder trust, environmental and financial performances: a
           partial least square approach

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      Authors: Charles Baah , Innocent Senyo Kwasi Acquah , Daniel Ofori
      Abstract: The need to stay competitive amidst ever-changing business environment has shifted competitive strategies from firms to supply chains. Managers are now basing competitive strategies on supply chains acknowledging that supply chains present competitive advantages among other resources. The purpose of the study is to explore the predictive relevance of supply chain collaboration and the extent to which it influences supply chain visibility, stakeholder trust, environmental and financial performances. This study focused on manufacturing firms due to their supplier relationships, consumption of resources, energy and emissions of greenhouse gasses. The study adopted a survey research design, a quantitative approach and partial least square structural equation modelling technique in making data analysis and interpretations due to its suitability for predictive research models as is the case in this study. The study hypothesized that supply chain collaboration positively and significantly interacts with supply chain visibility, stakeholder trust, environmental and financial performances. The study results confirmed supply chain collaboration as a significant, positive and a robust influence on supply chain visibility, stakeholder trust, environmental and financial performances thereby projecting win-win scenarios for firms that engage in collaborative supply chain practices. The study is among the few to indicate findings in relation to the scope of supply chain collaboration's potency in influencing performance from the perspective of manufacturing firms operational in an emerging economy. Thus, this study contributes to understanding the wider scope of supply chain collaboration, its interactions with other firm variables and how it informs decisions of managers, scholars and supply chain partners.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-29
      DOI: 10.1108/BIJ-10-2020-0519
      Issue No: Vol. 29 , No. 1 (2021)
       
  • Trajectory of research on maritime transportation in the era of
           digitization

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      Authors: Sonali Shankar , Sushil Punia , Surya Prakash Singh , Jingxin Dong
      Abstract: The literature on Maritime Transportation (MT) is experiencing a transition phase where the focus of the research is repositioning. It registered steep growth in recent years with its beginning articles on the concepts of cost minimization to the current focus on achieving sustainable operational effectiveness using Information and Communication Technologies (ICTs). Thus, this becomes a right time to investigate the trajectory of research on MT. The proposed study aims to explore the potential of data analytics techniques such as data mining and network analytics to reflect the trajectory of research in the maritime supply chain over time. This study identifies the eight main dimensions of the research published under maritime paradigm through network analytics. The in-depth review of these dimensions rendered us to segregate them further into sub-dimensions for the ease of understanding and interpretability. Further, the text mining is employed to extract thematic evolution of the research. The evolved themes are completely exclusive from the conventional MT research with artificial intelligence, digital storage, waste management and biofuels emerging as contemporary themes. It is found that although there are a sufficient amount of literature on sustainable port practices but their policy implications are still underexplored. The inter-dimension research is needed to achieve the motive of economic efficiency and environmental sustainability simultaneously. The study has contributed on the methodology side of conducting literature reviews. The dimensions, sub-dimensions and themes are obtained using data analytics tools and techniques. This omits the possibility of personal bias and thus making the results verifiable.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-29
      DOI: 10.1108/BIJ-05-2020-0272
      Issue No: Vol. 29 , No. 1 (2021)
       
  • Procurement 4.0 to the rescue: catalysing its adoption by modelling the
           challenges

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      Authors: Jude Jegan Joseph Jerome , Disha Saxena , Vandana Sonwaney , Cyril Foropon
      Abstract: The pandemic crisis has resulted in global chaos that had caused massive disruption to the supply chain. The pharmaceutical industry, in particular, has been working tirelessly to ensure that they can cater to the people who need them. With restrictions being imposed to prevent the spread of the COVID-19 virus, the movement of raw materials required has been affected, thus creating the need for the procurement function to be innovative. This study proposes the application of Industry 4.0 concepts into the procurement activities of an organization to make it more resilient and efficient. To study the intensity of the challenges, Total Interpretive Structural Modelling is used alongside the “Matrice des Impacts Croises Multiplication Appliquee a un Classement” (MICMAC) technique. Resilience can be achieved through the collaboration between the organization and its network of suppliers. This is however easier said than done. High and unclear investments have been identified as the challenge that is taking a toll on all technological investments in the pandemic era. The study also shows that organizational inertia which is present in established and structured firms are a deterrent as well. This study is based on the application of procurement 4.0 to ensure that pharmaceutical supply chains stay least affected since they are essentials. This study using a multi-criteria decision-making approach to prioritize the challenges. This will help practitioners make decisions faster.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-29
      DOI: 10.1108/BIJ-01-2021-0030
      Issue No: Vol. 29 , No. 1 (2021)
       
  • Governance modes in supply chains and financial performance at buyer,
           supplier and dyadic levels: the positive impact of power balance

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      Authors: Leonardo Marques , Paulo Lontra , Peter Wanke , Jorge Junio Moreira Antunes
      Abstract: This study analyzes whether power in the supply chain, based on governance modes and network centrality, explain financial performance at different levels of analysis: buyers, suppliers and dyads. The study employs a dual macro-micro lens based on global value chain (i.e. market, modular, relational and captive governance modes) and social network analysis (network centrality) to assess the impact of power (im)balance onto financial performance. Different from previous research, this study adopts information reliability techniques – such as information entropy – to differentiate the weights of distinct financial performance metrics in terms of the maximal entropy principle. This principle states that the probability distribution that best represents the current state of knowledge given prior data is the one with largest entropy. These weights are used in TOPSIS analysis. Results offer insightful reflections to SCM research. We show that buyers outperform suppliers due to power asymmetry. We ground our findings both analyzing across governance modes and comparing network centrality. We show that market and modular governances (where power balance prevails) outperform relational and captive modes at the dyadic level – thus inferring that in the long run these governance modes may lead to financially healthier supply chains. This study advances SCM research by exploring the impact of governance modes and network centrality on performance at both firm and dyadic levels while employing an innovative combination of secondary data and robust set of techniques including TOPSIS, WASPAS and information entropy.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-29
      DOI: 10.1108/BIJ-03-2020-0114
      Issue No: Vol. 29 , No. 1 (2021)
       
  • Employees' working life and performance of UK ethnic minority restaurants:
           a qualitative approach

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      Authors: B M Razzak , Robert Blackburn , George Saridakis
      Abstract: This paper investigates the linking between employees' working life (EWL) and job performance of ethnic minority Bangladeshi restaurants in Greater London. The authors use in depth face-to-face interviews of 40 participants working in 20 Bangladeshi restaurants (BRs) following a convenience sampling method. A thematic analysis technique, with the help of QSR N10, developed two key themes related to EWL and performance. These themes highlight several aspects of the relationship between EWL and performance. First, EWL is “beyond” the UK tradition; employers show a domineering attitude; however, employees continue to work due to lack of skills and competence. Second, employees perceive and present themselves as satisfied; however, this satisfaction is not reflected in the business performance of BRs. Third, the analysis shows that business owners “trap strategy” constrains employees to develop their skills for mobility to other industries. Hence, employees express satisfaction with their existing situation on the basis that it is the best they can hope for, given their specific skills and competence, and need for some security in the UK. Fourth, non-financial performance, for example, job autonomy, sense of fulfilment is related to EWL. The paper provides a framework to promote a better understanding of the linking between employees' working life and performance of UK ethnic minority restaurants. Also, the paper makes recommendations for further research, including an examination of the applicability of the findings to SMEs operated by other ethnic groups in the UK. This paper adds to the scarce literature on the working life of people in Bangladeshi restaurant businesses in the UK and the relationship between EWL and business performance.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-16
      DOI: 10.1108/BIJ-08-2020-0436
      Issue No: Vol. 29 , No. 1 (2021)
       
  • Association between fund attributes and fund's performance: a panel data
           approach

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      Authors: Anurag Bhadur Singh , Priyanka Tandon
      Abstract: The present study tries to explore the various fund attributes that influence the mutual fund performance. Further, study examined the effect of mutual fund attributes namely, Net Asset Value (NAV), Portfolio turnover ratio (PTR), fund size (AUM), expense ratio (ExpR) and fund age (Age) on mutual fund's performance using gross return and risk-adjusted performance measures. The study evaluated balanced panel data (short panel) comprising 81 Indian equity mutual fund schemes for the period of 2013–2019. The study estimated relationship between fund attributes (Net asset value, Portfolio turnover ratio, Fund age, fund size and Expense ratio) and fund performance (using gross return and risk-adjusted performance measures), through panel data regression using fixed-effects model as suggested by Hausman specification test on transformed data (due to high multicollinearity), with cluster-robust estimators due to the presence of heteroskedasticity in the model. The findings of the study suggested that using gross return as fund performance measure, PTR, NAV, AUM, Age exhibit significant relationship with the fund performance whereas using risk-adjusted performance measures (Treynor ratio and Jensen alpha) NAV and ExpR significantly influences the fund performance. Identification of the significant relationship between fund characteristics and fund performance offers valuable insights to the investors and fund managers for rationally managing their portfolio with the ultimate objective of the wealth maximization. The study considered only 81 equity mutual fund schemes. Some of the data were not available at the time of the study due to the policy of the company. The present study contributes significantly in examining the expected association between fund attributes and fund performance in the context of Indian mutual fund industry where this relationship were explored less. The findings of the present study will help the investors to take the rational investment decision with the ultimate objective of maximum return with minimal risk. The findings also offer significant germane to the stakeholders in making rational decision-making process. There is dearth of study concerning the relationship between mutual fund characteristics and fund performance with respect to Indian mutual fund industry. Therefore, study provides valuable insights to the area of the portfolio selection and management with respect to Indian mutual funds.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-08
      DOI: 10.1108/BIJ-10-2020-0545
      Issue No: Vol. 29 , No. 1 (2021)
       
  • Supplier selection and evaluation in e-commerce enterprises: a data
           envelopment analysis approach

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      Authors: Saurabh Pratap , Yash Daultani , Ashish Dwivedi , Fuli Zhou
      Abstract: E-commerce refers to the facilitation and delivery of goods and services to the customers employing an electronic arrangement. For an e-commerce firm, the customer service level provided by its suppliers can make or break the firm. The purpose of this research is to help e-commerce enterprises in addressing the vast challenge of complex supplier selection and evaluation process that must be performed vigilantly. The present study utilizes a three-pronged approach that integrates supplier management practices with the operational business practices of an e-commerce enterprise. In the first step, key performance factors for e-commerce capable suppliers are identified through an expert opinion and existing supplier management literature. Further, Data Envelopment Analysis (DEA) is employed to obtain the efficiency score for each supplier that enables their ranking on various performance parameters. Lastly, the suppliers are classified into different categories based on their performance and efficiency. Under the proposed classification scheme, top five suppliers, i.e. supplier 1, 7, 9, 11 and 17 are categorized as HE (High Performance and Efficient). It is suggested that e-commerce enterprises must build long-term relationship with the identified top performing suppliers. The study also provides real insights into supplier's performance on a number of objective criteria. Further, the present study enhances the overall performance and productivity of an e-commerce firm by achieving input cost minimization and output quality maximization, simultaneously. The results are valid for e-commerce enterprises in general. However, the present DEA model can be further evolved when applied in case of any particular e-commerce enterprise depending upon the internal capabilities of that firm. The nuances related to a firm's own supply capability development can be further explored by practitioners and researchers. The proposed approach is expected to motivate decision-makers to consider using more sophisticated approached like DEA in supplier evaluation processes. Also, as a benchmarking technique, the proposed supplier classification approach is expected to be highly useful for practitioners in real-life settings. The novel contribution of this study includes the supplier evaluation, ranking and classification for e-commerce enterprises based on the real-life data. The insights would help the practitioners to formulate novel strategies for appropriately investing in supplier relationships.
      Citation: Benchmarking: An International Journal
      PubDate: 2021-04-01
      DOI: 10.1108/BIJ-10-2020-0556
      Issue No: Vol. 29 , No. 1 (2021)
       
  • Benchmarking: An International Journal

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