Subjects -> BUSINESS AND ECONOMICS (Total: 3853 journals)
    - ACCOUNTING (134 journals)
    - BANKING AND FINANCE (314 journals)
    - BUSINESS AND ECONOMICS (1435 journals)
    - CONSUMER EDUCATION AND PROTECTION (20 journals)
    - COOPERATIVES (4 journals)
    - ECONOMIC SCIENCES: GENERAL (235 journals)
    - ECONOMIC SYSTEMS, THEORIES AND HISTORY (259 journals)
    - FASHION AND CONSUMER TRENDS (20 journals)
    - HUMAN RESOURCES (103 journals)
    - INSURANCE (26 journals)
    - INTERNATIONAL COMMERCE (146 journals)
    - INTERNATIONAL DEVELOPMENT AND AID (103 journals)
    - INVESTMENTS (22 journals)
    - LABOR AND INDUSTRIAL RELATIONS (71 journals)
    - MACROECONOMICS (17 journals)
    - MANAGEMENT (635 journals)
    - MARKETING AND PURCHASING (117 journals)
    - MICROECONOMICS (23 journals)
    - PRODUCTION OF GOODS AND SERVICES (125 journals)
    - PUBLIC FINANCE, TAXATION (42 journals)
    - TRADE AND INDUSTRIAL DIRECTORIES (2 journals)

HUMAN RESOURCES (103 journals)                     

Showing 1 - 101 of 101 Journals sorted alphabetically
Accounting and Business Research     Hybrid Journal   (Followers: 37)
Accounting and the Public Interest     Full-text available via subscription   (Followers: 4)
Accounting Auditing & Accountability Journal     Hybrid Journal   (Followers: 35)
Accounting Education: An International Journal     Hybrid Journal   (Followers: 24)
Accounting Forum     Hybrid Journal   (Followers: 31)
Accounting, Organizations and Society     Hybrid Journal   (Followers: 47)
Advances in Accounting     Hybrid Journal   (Followers: 14)
Advances in Developing Human Resources     Hybrid Journal   (Followers: 33)
Afro-Asian Journal of Finance and Accounting     Hybrid Journal   (Followers: 9)
American Journal of Finance and Accounting     Hybrid Journal   (Followers: 25)
Annual Review of Organizational Psychology and Organizational Behavior     Full-text available via subscription   (Followers: 49)
Asia Pacific Journal of Human Resources     Hybrid Journal   (Followers: 331)
Asian Review of Accounting     Hybrid Journal   (Followers: 2)
Attachment & Human Development     Hybrid Journal   (Followers: 12)
Australian Accounting Review     Hybrid Journal   (Followers: 5)
British Accounting Review     Hybrid Journal   (Followers: 11)
Burnout Research     Open Access   (Followers: 10)
Coaching : Theorie & Praxis     Open Access   (Followers: 3)
Contemporary Accounting Research     Full-text available via subscription   (Followers: 33)
Corporate Governance and Organizational Behavior Review     Open Access   (Followers: 1)
Critical Perspectives on Accounting     Hybrid Journal   (Followers: 19)
EURO Journal on Decision Processes     Hybrid Journal   (Followers: 3)
European Accounting Review     Hybrid Journal   (Followers: 22)
European Journal of Training and Development     Hybrid Journal   (Followers: 13)
Evidence-based HRM     Hybrid Journal   (Followers: 6)
FOR Rivista per la formazione     Full-text available via subscription  
German Journal of Human Resource Management     Hybrid Journal   (Followers: 7)
HR Future     Full-text available via subscription   (Followers: 4)
Human Relations     Hybrid Journal   (Followers: 66)
Human Resource and Organization Development Journal     Open Access   (Followers: 6)
Human Resource Development International     Hybrid Journal   (Followers: 27)
Human Resource Development Quarterly     Hybrid Journal   (Followers: 31)
Human Resource Development Review     Hybrid Journal   (Followers: 33)
Human Resource Management     Hybrid Journal   (Followers: 91)
Human Resource Management Journal     Hybrid Journal   (Followers: 86)
Human Resource Management Research     Open Access   (Followers: 27)
Human Resource Management Review     Hybrid Journal   (Followers: 65)
Human Resource Research     Open Access   (Followers: 1)
Intangible Capital     Open Access   (Followers: 2)
International Journal of Accounting     Hybrid Journal   (Followers: 2)
International Journal of Accounting and Finance     Hybrid Journal   (Followers: 20)
International Journal of Accounting Information Systems     Hybrid Journal   (Followers: 8)
International Journal of Accounting, Auditing and Performance Evaluation     Hybrid Journal   (Followers: 15)
International Journal of Banking, Accounting and Finance     Hybrid Journal   (Followers: 16)
International Journal of Behavioural Accounting and Finance     Hybrid Journal   (Followers: 12)
International Journal of Critical Accounting     Hybrid Journal   (Followers: 3)
International Journal of Economics and Accounting     Hybrid Journal   (Followers: 3)
International Journal of Ethics and Systems     Hybrid Journal   (Followers: 3)
International Journal of Human Capital and Information Technology Professionals     Full-text available via subscription   (Followers: 4)
International Journal of Human Resource Management     Hybrid Journal   (Followers: 57)
International Journal of Human Resource Studies     Open Access   (Followers: 17)
International Journal of Human Resources Development and Management     Hybrid Journal   (Followers: 31)
International Journal of Management Development     Hybrid Journal   (Followers: 13)
International Journal of Management Education     Hybrid Journal   (Followers: 10)
Journal of Accounting & Organizational Change     Hybrid Journal   (Followers: 6)
Journal of Accounting and Economics     Hybrid Journal   (Followers: 51)
Journal of Accounting and Public Policy     Hybrid Journal   (Followers: 8)
Journal of Accounting Education     Hybrid Journal   (Followers: 7)
Journal of Accounting Research     Hybrid Journal   (Followers: 37)
Journal of Advances in Management Research     Hybrid Journal   (Followers: 2)
Journal of Chinese Human Resource Management     Hybrid Journal   (Followers: 8)
Journal of Contemporary Accounting & Economics     Hybrid Journal   (Followers: 4)
Journal of Corporate Citizenship     Full-text available via subscription   (Followers: 1)
Journal of Enterprising Communities People and Places in the Global Economy     Hybrid Journal   (Followers: 1)
Journal of Global Responsibility     Hybrid Journal   (Followers: 5)
Journal of HR intelligence     Open Access   (Followers: 1)
Journal of Human Capital     Full-text available via subscription   (Followers: 14)
Journal of Human Development and Capabilities : A Multi-Disciplinary Journal for People-Centered Development     Hybrid Journal   (Followers: 24)
Journal of Human Resource and Sustainability Studies     Open Access   (Followers: 1)
Journal of Human Resource Costing & Accounting     Hybrid Journal   (Followers: 5)
Journal of Human Values     Hybrid Journal   (Followers: 5)
Journal of International Accounting, Auditing and Taxation     Hybrid Journal   (Followers: 5)
Journal of Marketing and HR     Open Access   (Followers: 7)
Journal of Organizational Effectiveness : People and Performance     Hybrid Journal   (Followers: 9)
Journal of Professions and Organization     Free   (Followers: 6)
Journal of Service Management     Hybrid Journal   (Followers: 9)
Kelaniya Journal of Human Resource Management     Open Access  
New Horizons in Adult Education and Human Resource Development     Hybrid Journal   (Followers: 13)
NHRD Network Journal     Full-text available via subscription  
Open Journal of Leadership     Open Access   (Followers: 19)
Organizational Behavior and Human Decision Processes     Hybrid Journal   (Followers: 77)
Pacific Accounting Review     Hybrid Journal  
Personality and Individual Differences     Hybrid Journal   (Followers: 28)
Personnel Assessment and Decisions     Open Access   (Followers: 2)
Personnel Review     Hybrid Journal   (Followers: 16)
Professions and Professionalism     Open Access   (Followers: 9)
Psychologie du Travail et des Organisations     Hybrid Journal  
Public Personnel Management     Hybrid Journal   (Followers: 14)
Qualitative Research in Accounting & Management     Hybrid Journal   (Followers: 7)
Quarterly National Accounts - Comptes nationaux trimestriels     Full-text available via subscription  
Research in Accounting Regulation     Hybrid Journal   (Followers: 2)
Research in Human Development     Hybrid Journal   (Followers: 6)
Review of Accounting Studies     Hybrid Journal   (Followers: 28)
Review of Public Personnel Administration     Hybrid Journal   (Followers: 12)
Review of Quantitative Finance and Accounting     Hybrid Journal   (Followers: 9)
Revista Gestión de las Personas y Tecnología     Open Access  
Revista Portuguesa e Brasileira de Gestão     Open Access  
South Asian Journal of Human Resources Management     Full-text available via subscription   (Followers: 4)
Southern African Journal of Accountability and Auditing Research     Full-text available via subscription  
Sri Lankan Journal of Human Resource Management     Open Access   (Followers: 1)
Strategic HR Review     Hybrid Journal   (Followers: 9)

           

Similar Journals
Journal Cover
Journal of Advances in Management Research
Number of Followers: 2  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0972-7981 - ISSN (Online) 2049-3207
Published by Emerald Homepage  [361 journals]
  • Depiction of possible solutions to improve the cold supply chain
           performance system
    • Authors: Neeraj Kumar, Mohit Tyagi, Anish Sachdeva
      Abstract: A poor performance of the cold supply chain (CSC) may increase the loss of quality and potency of perishables and temperature-sensitive products that deteriorate the financial and environmental aspects of the same. The purpose of the current research work is to identify the critical performance factors (criteria) and their co-factors (sub-criteria) that are responsible for the performance measurement of CSC and suggest the best possible solutions (alternatives) to improve the same. To achieve the objective of the research, a hierarchical model has been developed and analyzed using Analytic Hierarchy Process (AHP)-Fuzzy TOPSIS as a hybrid approach to obtain the severity weights of the identified criteria and prioritization toward their relative importance for the best possible alternatives. Analysis reveals that the criteria “energy consumption” comes out to be the most critical criteria, and alternative “application of passive cold devices” is the most effective solution for improving the performance of CSC. Higher energy consumption leads to a higher rate of greenhouse gas (GHG) emissions increasing the global warming phenomenon, high operational cost and degradation of natural energy resources. The Application of Passive Cold Devices (PCDs) utilizes solar energy to operate the refrigeration units reducing the energy consumption, environmental and operating cost of CSC. The research work provides several insights into the critical issues related to the CSC and suggests significant findings that enable the management and decision-makers to adopt these practices for performance evaluation and improvement of the same. The key findings of the work, such as “application of passive cold devices” and “application of IoT in cold chain logistics”, facilitate an improved platform to improve the CSC performance and proposed several directions that will enhance the merit of future research. The presented study consolidates the various perspectives associated with CSC performance, explores the most critical criteria and proposes the best suitable cold chain practices for organizational growth. The work also provides an analytical analysis with the essence of practicalities and sensitivity analysis to support the robustness of the results. By enriching the literature and quantitative analysis of the new proposed model, this paper forms vast managerial and research implications in the field of CSC.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-04-12
      DOI: 10.1108/JAMR-10-2020-0285
      Issue No: Vol. 18, No. 1 (2021)
       
  • Grounded theory in management research: through the lens of gender-based
           pay disparity
    • Authors: Pulin Goyal, Sanjay Bhattacharya, Aradhana Gandhi
      Abstract: The purpose of this study is to apply grounded theory in management research in the context of gender-based pay disparity and showcase the applicability of the method in deriving a new theory toward describing the factors responsible for the slow career advancement of women compared to men across various employment sectors. This study is focused mainly in the northern part of India. A cross-sectional qualitative study was conducted across participants chosen by purposive sampling. Data were collected through in-depth interviews after taking informed consent with an inclusion criterion of some years of work experience. Grounded theory method was used to analyze the data found through qualitative research. Through the grounded theory research method, an in-depth understanding of factors responsible for pay disparity as faced by women at work has emerged. Also, factors responsible for the slow career advancement of women employees viz. social construct of gender, workplace representation of gender, perceptions/perspectives of managers regarding genders, lack of multi-step affirmative actions have also emerged from the data. Greater understanding has been gained toward the applicability of grounded theory as a method for expounding various aspects of management and theorizing them. Greater understanding has been gained toward the applicability of grounded theory as a method for expounding various aspects of management and theorizing them. This particular work showcases the intent and applicability of the grounded theory research method in management research by studying gender-based pay disparity. Through this method, barriers faced by women in pay parity across various employment sectors in the northern part of India were ascertained, leading to the emergence of various probable solutions as well.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-04-05
      DOI: 10.1108/JAMR-10-2020-0298
      Issue No: Vol. 18, No. 1 (2021)
       
  • Information technology management and service performance management
           capabilities: an empirical study of the service supply chain management
           process
    • Authors: Pattama Lenuwat, Sakun Boon-itt
      Abstract: The dynamic capabilities view is invoked to hypothesize relationships among the service supply chain management (SSCM) process capabilities using the information technology management (ITM) process capability. This study argues that ITM will have an impact on the service performance management (SPM) process capability only when it works through mediators and demonstrates the impact by using the framework of SSCM process capabilities. This study is based on a survey using quantitative data collection to empirically test the research framework. The proposed framework and hypotheses were tested using a mail-in survey of the service industry in Thailand. The statistical analysis of data acquired from the survey was performed using structural equation modeling. The results support the existence of a mediating role for the ITM process affecting the SPM process. This study identifies the role of ITM and emphasizes the urgent need for firms to embed other mediating factors into their approaches to achieve SPM process goals in the service supply chain context. The study offers important implications to researchers as well as practitioners by highlighting the significance of mediating roles for ITM to achieve SPM process. This research is among the initial attempts to argue the impact of ITM on SPM through mediators.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-03-29
      DOI: 10.1108/JAMR-01-2021-0039
      Issue No: Vol. 18, No. 1 (2021)
       
  • Brand identity and culture interaction in the Indian context: a grounded
           approach
    • Authors: Arbuda Sharma, Sanjay Patro, Harish Chaudhry
      Abstract: The purpose of this study is to explore how elements of culture and cultural cues such as customs, values and norms interact with the brand identity. A qualitative research has been done to understand which cultural aspect is important for which aspect of brand identity. The results would be useful for designing the product. This research focuses on exploring and validating the interaction between the factors of brand identity and various dimensions of culture. Multiple frameworks of brand identity and culture have been reviewed, factors have been identified and the interaction between the factors of brand identity and elements of culture has been established in the Indian context. Grounded theory approach has been exercised here as a holistic inductive research technique for identifying the interaction between factors of brand identity and elements of culture. This paper has explored inter-relationship between strategies adopted by managers in creation of brand identity and its consequential perception. Following interaction has been found between the brand identity factors and cultural aspects – product shape, product size and packaging size – were found to interact with individualism vs collectivism, brand image, overall brand presentation, distribution, perception and quality were found to be strongly associated with power distance. Similarly associations were found between country of origin and belief, quality, product differentiation, frame of reference, points of parity and uncertainty avoidance, between Brand Ambassador – Person/ Icon and 9; Beliefs, between Fit with environment and self, Brand customer relationship and long term vs short term orientation, between Enhanced Self Perception and Masculinity vs Femininity, between Brand heritage, packaging colors and images and Customs and Symbols. The outcomes of our research show that customization is an indispensable principle to be followed in the global markets and elements of culture and cultural indications such as customs, values and collective norms are integral in driving the branding strategies. The outcomes of the study lay emphasis on the parallel groundwork that the managers must make for their strategies, so that, the company centric variables of brand identity are well in sync with the socio cultural indicators of the region they are serving. Unlike previous researches, this work records the consumers' perspective in understanding their purchase choices based on their cultural norms and influences.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-03-24
      DOI: 10.1108/JAMR-12-2020-0361
      Issue No: Vol. 18, No. 1 (2021)
       
  • Analysis of supply chain resilience barriers in Indian automotive company
           using total interpretive structural modelling
    • Authors: Nishtha Agarwal, Nitin Seth
      Abstract: The study tries to identify the barriers influencing supply chain resilience and examine the inter-relationships between them. These relationships are built on the basis of how one barrier drives or is driven by the changes in another barriers. In the first phase, literature review and with due discussion with experts, the barriers have been identified and shortlisted for an Indian automotive case company. In the second phase, total interpretive structural modelling (TISM) has been applied to examine inter-relationships between the barriers for an Indian automobile case company. Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) analysis has also been performed to analyse the driving and dependence power of the barriers. In total, 11 barriers are identified from the first phase of the study. In the second phase, the TISM digraph is created which qualitatively explains the reason behind how one barrier leads to another. MICMAC analysis classifies these variables in four clusters namely autonomous, linkage, dependent and independent. These clusters characterise the barriers based on their driving and dependent power which helps managers in strategically tackling them while taking understanding from the TISM digraph. Three research implications can be made from the study. First, a comprehensive definition of supply chain which helps in understanding of resilience based on disruption phases and recovery. Second, 11 barriers are identified which hinder resilience in automotive sector. Their relationships are modelled using TISM which also gives why a particular relationship exists. Last, MICMAC analysis classifies barriers based on how high or low the driving and dependence power exists. The study offers significant implications for supply chain managers helping them in building resilience by identifying barriers and reducing their effect. Barriers are identified for case company which might help managers to tackle them during disruptions. The final TISM digraph depicts the “why” between the inter-relationships between the barriers to resilient supply chains. TISM shows that non-commitment of top management is the major root barrier which has been causing the other problems. MICMAC analysis is also performed along with discussion as to how autonomous, linkage, dependent and independent barriers can be tackled to build resilience. TISM is considered as an effective methodology for conceptual framework development as it also explains “why” between the relationships besides explaining the “what” as against ISM. Identification and understanding of barriers and their interrelationship will help supply chain managers to analyse the influence and inter-dependence of barriers on the resilience of the supply chain. Such understanding will help in mitigating/averting these barriers hence improving the resilience capability. It also adds to the knowledge base in the area of supply chain resilience where several authors have pointed the lack of research.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-03-23
      DOI: 10.1108/JAMR-08-2020-0190
      Issue No: Vol. 18, No. 1 (2021)
       
  • Manufacturing excellence using lean systems – a case of an automotive
           aggregate manufacturing plant in India
    • Authors: Ravindra Ojha, Umashankar Venkatesh
      Abstract: The paper aims at fulfilling two purposes: (1) to enrich young production shop floor managers to understand and appreciate the different dimensions of manufacturing excellence and (2) to provide a comprehensive industry-based case study to a faculty involved in the teaching-learning process of Lean systems to the Business school management students. Imparting learnings through a real-life case study from a manufacturing industry, which successfully doubled its delivery capacity using the project management and Lean systems approach. Value flow techniques have been utilised in the production shop floor. Effective implementation of lean thinking can significantly facilitate enhancing plant capacity within the original shop floor area and without hindering the delivery to the customers with growing demand. Outcomes of the plant transformation re-emphasised that effective leadership, a well-constituted project team, project management tools, applied knowledge of lean enablers and its metrics and management's engagement are the critical success factors. The case has been automotive industry driven. This real life industry case study is expected to enrich not only the management graduates who would be industry leaders tomorrow but also the practising young shop floor managers who aspire to achieve manufacturing excellence through lean enablers and metrics. Useful real-life industry-based Lean manufacturing case study to be utilised by the business school faculty members in their class to enrich students/young practising managers.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-03-19
      DOI: 10.1108/JAMR-10-2020-0284
      Issue No: Vol. 18, No. 1 (2021)
       
  • A novel MADM approach to the ground-handling agent selection problem in
           B2B markets
    • Authors: Mahmut Bakır, Emircan Özdemir, Şahap Akan
      Abstract: Ground-handling services are important for effective aircraft operations in the air transportation system. Airlines often outsource these services to ground-handling agents through business-to-business (B2B) marketing decisions. Therefore, this paper aims to address the problem of ground-handling agent selection in the airline industry. A real-world case study was carried out to demonstrate the applicability of the integrated best worst method and fuzzy multi-attribute ideal real comparative analysis (F-MAIRCA) approach to solve ground-handling agent selection problems under uncertainty and imprecision. A two-stage sensitivity analysis was also conducted to ensure the credibility and validity of the application. In the weighting stage, “Quality” was determined as the most important criterion in terms of supplier performance. With regard to the performance of the ground-handling agents, A2 was found as the optimal supplier in terms of both credibility and validity. This study enumerated several criteria that ground-handling agents must meet in order to effectively supply services for the airlines. In addition, this study provides a novel framework from which managers can gain additional benefits from their businesses. Finally, it is concluded that this approach will help airline managers quantitatively in choosing the most appropriate ground-handling agent. The contributions of this study to the existing literature are twofold. First, we propose a novel multiple attribute decision-making approach to address the problem of supplier selection for airlines under uncertainty and imprecision. Second, the selection of ground-handling agents from the B2B perspective is addressed for the first time in literature.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-03-12
      DOI: 10.1108/JAMR-05-2020-0069
      Issue No: Vol. 18, No. 1 (2021)
       
  • Technical efficiency, intellectual capital efficiency and bank performance
           in emerging markets: the case of India
    • Authors: Santi Gopal Maji, Farah Hussain
      Abstract: This paper examines the impacts of technical efficiency and intellectual capital efficiency (ICE) on bank performance in India after controlling other bank-, industry-specific and macroeconomic variables. The authors use secondary data on listed Indian commercial banks for the period 2005–2018. The authors use data envelopment analysis (DEA) technique-based Malmquist index (MI) to obtain technical efficiency and value-added intellectual coefficient (VAIC) model for computing ICE. System generalized method of moments (GMM) (SGMM) model in a dynamic framework is used to estimate the parameters, which takes into consideration issues of endogeneity, heterogeneity and persistence of bank performance. Further, the authors use quantile regression model to examine whether the impacts of covariates are homogeneous at different locations of the conditional distribution of bank performance. The authors find positive impact of technical efficiency and negative influence of market concentration on bank performance. The results of the study support the efficient structure (ES) hypothesis (ESH). The authors observe positive influence of intellectual capital (IC) on bank performance, which indicates the relevance of intellectual resources in enhancing banks' value. Further, the results of quantile regression indicate that the impacts of technical efficiency and ICE are more pronounced at higher quantiles of the conditional distribution of bank performance. This paper in the Indian context examines the influences of technical efficiency and ICE after controlling bank-, industry-specific and macroeconomic factors.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-03-12
      DOI: 10.1108/JAMR-09-2020-0218
      Issue No: Vol. 18, No. 1 (2021)
       
  • Evaluating demand forecasting models using multi-criteria decision-making
           approach
    • Authors: Yvonne Badulescu, Ari-Pekka Hameri, Naoufel Cheikhrouhou
      Abstract: Demand forecasting models in companies are often a mix of quantitative models and qualitative methods. As there are so many existing forecasting approaches, many forecasters have difficulty in deciding on which model to select as they may perform “best” in a specific error measure, and not in another. Currently, there is no approach that evaluates different model classes and several interdependent error measures simultaneously, making forecasting model selection particularly difficult when error measures yield conflicting results. This paper proposes a novel procedure of multi-criteria evaluation of demand forecasting models, simultaneously considering several error measures and their interdependencies based on a two-stage multi-criteria decision-making approach. Analytical Network Process combined with the Technique for Order of Preference by Similarity to Ideal Solution (ANP-TOPSIS) is developed, evaluated and validated through an implementation case of a plastic bag manufacturer. The results show that the approach identifies the best forecasting model when considering many error measures, even in the presence of conflicting error measures. Furthermore, considering the interdependence between error measures is essential to determine their relative importance for the final ranking calculation. The paper's contribution is a novel multi-criteria approach to evaluate multiclass demand forecasting models and select the best model, considering several interdependent error measures simultaneously, which is lacking in the literature. The work helps structuring decision making in forecasting and avoiding the selection of inappropriate or “worse” forecasting model.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-02-15
      DOI: 10.1108/JAMR-05-2020-0080
      Issue No: Vol. 18, No. 1 (2021)
       
  • Exploring engagement among mobile app developers – Insights from mining
           big data in user generated content
    • Authors: Pooja Sarin, Arpan Kumar Kar, Vigneswara P. Ilavarasan
      Abstract: The Web 3.0 has been hugely enabled by smartphones and new generation mobile applications. With the growing adoption of smartphones, the use of mobile applications has grown exponentially and so has the development of mobile applications. This study is an attempt to understand the issues and challenges faced in the mobile applications domain using discussions made on Twitter based on mining of user generated content. The study uses 89,908 unique tweets to understand the nature of the discussions. These tweets are analyzed using descriptive, content and network analysis. Further using transaction cost economics, the findings are reviewed to develop practice insights about the ecosystem. Findings indicate that the discussions are mostly skewed toward a positive polarity and positive user experiences. The tweeters are predominantly application developers who are interacting more with marketers and less with individual users. Most of these applications are for individual use (B2C) and not for enterprise usage. There are very few individual users who contribute to these discussions. The predominant users are application reviewers or bloggers of review websites who use the recently developed applications and discuss their thoughts on the same. The results may be useful in varied domains which are planning to expand their reach to a larger audience using mobile applications and for marketers who primarily focus on promotional content. The domain of mobile applications on social media is still restricted to promotions and digital marketing and may solely be used for the purpose of link building by application developers. As such, the discussions could provide inputs towards mobile phone manufacturers and ecosystem providers on what are the real issues these communities are facing while developing these applications. The study uses mixed research methodology for mining experiences in the domain of mobile application developers using social media analytics and transaction cost economics. The discussion on the findings provides inputs for policy-making and possible intervention areas.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-02-12
      DOI: 10.1108/JAMR-06-2020-0128
      Issue No: Vol. 18, No. 1 (2021)
       
  • Barriers in adoption of additive manufacturing in medical sector supply
           chain
    • Authors: Neha Choudhary, Anish Kumar, Varun Sharma, Pradeep Kumar
      Abstract: Additive manufacturing (AM) is expected to significantly transform the operations in manufacturing sector. It is also proposed to have optimistic applications in the medical supply chains (SC). However, its adoption in medical sector is faced with a range of barriers. Motivated by the need to establish an AM-based medical SC in a developing economy, the present paper analyses the potential barriers that would hinder the adoption of AM in medical SC. Based on an extensive literature review and expert discussions, 12 significant barriers have been identified, which are analysed using an integrated interpretive structural modelling–analytical network process (ISM–ANP) methodology. An interrelationship between these barriers using ISM has been analysed to determine the driving-dependence power of these barriers using MICMAC (Matrice d' Impacts Croises-Multiplication Applique' e a' Classement) analysis. The barriers are then ranked using the ANP approach. It has been focussed that the non-availability of a variety of materials, lack of education and training to designers and workers and production technology limitation are the most critical barriers. The results suggest that the managers should give greater significance to the technological and organizational barriers. An approach to overcome these barriers can help the managers and organizations to develop successful AM-based SCs. The study is the first to identify and analyse the barriers for successful adoption of AM in medical SC context.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-02-09
      DOI: 10.1108/JAMR-12-2020-0341
      Issue No: Vol. 18, No. 1 (2021)
       
  • Structural model of information quality framework to e-agri supply chain
    • Authors: Shivani Agrawal, Vinay Singh, Yogesh Upadhyay
      Abstract: Due to wider acceptance of information technology (IT) and e-commerce among the consumers, firms belonging to agri businesses are rapidly redefining IT-driven stakeholders' centric completive strategy for their supply chain. This has forced the firms to understand the stakeholders' information needs and quality they expect from the electronic supply chains. Thus, the present study focusses on developing an information quality framework that ensures the success of stakeholders' centric e-agri supply chain. The study also attempts to investigate the interrelationship between formative endogenous latent variables, i.e. value of information (VoI), e-platform responsiveness (RESP), e-platform aesthetics (SAE), e-platform ease of use (EoU) and fulfillment of expectation (FoE) used in the developing the proposed framework. Survey based data are obtained from 280 respondents using semistructured questionnaire to validate the proposed theoretical framework. The structural equation modeling is performed using IBM Statistical Product and Service Solutions (SPSS) 16.0 and Analysis of Moment Structures (AMOS) 24.0 package to establish structural model by accommodating determinants of information quality framework identified from extent literature. Confirmatory factor analysis (CFA) is employed to examine the robustness of manifesting variables that define the latent constructs. The robustness measuring items of constructs are also ensured through specified criteria of reliability, convergent validity and discriminant validity. At last the one-way ANOVA and post-hoc analysis are employed to investigate the stakeholders’ group difference on each study construct. The results infer the impact RESP, VoI, SAE and EoU on the fulfillment of expectation (FoE). After applying the bootstrapping technique, it was observed that all causal relationships as proposed in hypotheses H1, H1a, H1b, H2, H3 and H4 have gained significant empirical support, thus verify the framework applicable to e-agri supply chain as the study outcome. Addition to this, SAE mediates relationship of RESP and VoI. The RESP and SAE have an indirect positive effect on “EoU.” Findings also suggest that the intermediaries expect better e-platform responsiveness and value of information from e-agri supply chain as compared to farmers and end consumers. The findings of the study emphasized on the importance of five exogenous variables for e-agri supply chain in order to achieve stakeholders' expectation fulfillment on the information delivered through e-agri supply chain. The study is of great significance to the practitioners and management professionals by aiding strategic worth of market expansion by maximizing users' base by developing, deploying and facilitating a responsive and resilient stakeholders' centric e-agri supply chains. The study provides insights to the cross-domain researchers, firms, managers and policymakers to capture detailed and deeper understanding on the system design, stakeholders' behavior and in policy formulation so as to suggest remedial measures to strengthen the stakeholders' belief on relying e-agri supply chain. The study considers the empirical model that shows the determinants and their relationship in the “information quality framework” as unique and novel contribution in the context of e-agri supply chain. The framework determines the quality and efficacious use of information that regulates the effectiveness of e-platform from stakeholders' perspective. The investigated constructs and their relationship depict their importance in creating systematic value chain of information across the supply chain.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-01-15
      DOI: 10.1108/JAMR-06-2020-0113
      Issue No: Vol. 18, No. 1 (2021)
       
  • Using psychological capital at organizational levels of study
    • Authors: Chalachew Almaw Tefera, William D. Hunsaker
      Abstract: Since the term's introduction two decades ago, “psychological capital” has been described as an intangible strategic organizational resource. However, there remains a dearth of research regarding its application, especially in the macro-management fields. This paper addresses this gap by elevating the individual-level psychological capital (ILPC) concept to an equivalent organizational-level psychological capital (OLPC) model with appropriate methodological considerations. The elevation of ILPC to OLPC is conducted using referent shift approach. Then, the proposed OLPC model is tested and validated using the partial least-squares structural equation modeling analysis technique. Testing the OLPC model adequately validated the basic requirements of reliability, validity, multicollinearity and redundancy analysis. To ensure the practical use of the proposed model, a simulation study was also conducted, and the results confirmed the strength of ILPC being elevated to a model of OLPC. The findings imply a better understanding of psychological capital from a multilevel perspective and present cross-level opportunities to enrich the scholarly corpus. The current paper also provides an insight into psychological capital management efficiency at all organizational levels so that the greatest benefits can be obtained. This paper shows, for the first time, the possibility of borrowing ILPC concepts to help enact OLPC in organizations by means of a survey study. This paves the way for further investigation into the use of psychological capital at strategic and other macromanagement levels. Finally, future studies are encouraged to triangulate and strengthen the main arguments presented here.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-01-15
      DOI: 10.1108/JAMR-08-2020-0179
      Issue No: Vol. 18, No. 1 (2021)
       
  • Investigating the role of social networking technology on the
           organizational agility: a structural equation modeling approach
    • Authors: Shadi Ahmadi, Mohammad Javad Ershadi
      Abstract: The current extensive business ecosystem, characterized by technological advances and development, impressive customers, and increasing social concerns, has exerted great pressure on business organizations. Among different business values for affording this pressure, organizational agility is a critical factor that should be carefully incorporated in business processes. The main purpose of the present study is to investigate the role of social networking technology, as a crucial collaborative tool, on organizational agility. A model based on structural equations was designed in this regard. The constructs of this model are quality of service, varieties of services, costs and speed of service as independent variables and also agility management as a dependent variable. Based on the conceptual model, a questionnaire was prepared and distributed among the experts of social networking technology and agility management. Based on Cochran's formula the sample size was 384. The response rate was 100%. The main statistical measures such as Chi-square ratio to the degree of freedom, Non-soft Fitness Index (RMSEA), Goodness of Fit Index (GFI) and Modified fitness index (AGFI) were employed for analyzing the model. Results of obtained data indicated that a variety of services as the main factor of social networking technology has the most impact on the agility of a company. Then, the speed of service, service quality and costs were ranked respectively in second to fourth. Providing information technology (IT) service perceptions, promoting the service climate and thorough identification of IT requirements are the main critical success factors for maintaining a robust impact of social networking technology on organizational agility. Moreover, a well-designed enterprise structure alongside employing newly developed IT infrastructures such as cloud computing certainly improves the capabilities of organizations to improve their agility. Although the literature suggests a positive impact among IT or social networks on organizational agility, it is deficient in relation to considering the impact of social networking. Furthermore, a structural equation model (SEM) is used for assessing unobservable latent constructs and their related interrelationship.
      Citation: Journal of Advances in Management Research
      PubDate: 2021-01-06
      DOI: 10.1108/JAMR-04-2020-0052
      Issue No: Vol. 18, No. 1 (2021)
       
  • Jet without fuel: nosedive of Jet Airways
    • Authors: Satwik Upadhyay, Rayees Farooq, Nachiketa Tripathi
      Abstract: This case describes the vulnerability of the Indian aviation sector by highlighting the fall of Jet Airways from one of the biggest airlines in India to bankruptcy. The present case discusses the role of Jet Airways' leadership in managing the external threats that affect aviation business in India. The present case is built on data collected from secondary sources, including publicly available information about the company, journals, websites, newspapers and reports. The case reports findings of how hubris-driven strategic decisions and insecurity of the leader in losing control of the company, led to the grounding of one of the major airline companies in the Indian aviation industry. The present case study provides valuable insights into the aviation industry in India, focusing on the threats to the aviation business. The case is useful to other airline companies and the aviation business community in dealing with external threats to business and issues of leadership dysfunction.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-12-08
      DOI: 10.1108/JAMR-02-2020-0021
      Issue No: Vol. 18, No. 1 (2020)
       
  • Comparison of linear and non-linear GARCH models for forecasting
           volatility of select emerging countries
    • Authors: Sudhi Sharma, Vaibhav Aggarwal, Miklesh Prasad Yadav
      Abstract: Several empirical studies have proven that emerging countries are attractive destinations for Foreign Institutional Investors (FIIs) because of high expected returns, weak market efficiency and high growth that make them attractive destination for diversification of funds. But higher expected returns come coupled with high risk arising from political and economic instability. This study aims to compare the linear (symmetric) and non-linear (asymmetric) Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models in forecasting the volatility of top five major emerging countries among E7, that is, China, India, Indonesia, Brazil and Mexico. The volatility of financial markets of five major emerging countries has been empirically investigated for a period of two decades from January 2000 to December 2019 using univariate volatility models including GARCH 1, 1, Exponential Generalized Autoregressive Conditional Heteroscedasticity (E-GARCH 1, 1) and Threshold Generalized Autoregressive Conditional Heteroscedasticity (T-GARCH-1, 1) models. Further, to examine time-varying volatility, the distinctions of structural break have been captured in view of the global financial crisis of 2008. Thus, the period under the study has been segregated into pre- and post-crisis, that is, January 2001–December 2008 and January 2009–December 2019, respectively. The findings indicate that GARCH (1, 1) model is superior to non-linear GARCH models for forecasting volatility because the effect of leverage is insignificant. China has been considered as most volatile, whereas India is volatile but positively skewed and Indonesia is the least volatile country. The results can help investors in better international diversification of their portfolio and identifying best suitable hedging opportunities. This study can help investors to construct a more risk-adjusted returns international portfolio. Further, it adds to the scant literature available on the inconclusive debate on the choice of linear versus non-linear models to forecast market volatility. Earlier studies related to univariate volatility models are mostly applications of the models. Only few studies have considered the robustness while applying the models. However, none of the studies to the best of the authors’ searches have considered these models for identifying the diversification opportunity among the emerging countries. Hence, this study is able to derive diversification and hedging opportunities by applying wide ranges of the statistical applications and models, that is, descriptive, correlations and univariate volatility models. It makes the study more rigorous and unique compared to the previous literature.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-12-04
      DOI: 10.1108/JAMR-07-2020-0152
      Issue No: Vol. 18, No. 1 (2020)
       
  • Market microstructure: a comparative study of Bombay stock exchange and
           national stock exchange
    • Authors: Anshi Goel, Vanita Tripathi, Megha Agarwal
      Abstract: The present study seeks to investigate the relative edge between the market microstructure of the two leading stock exchanges of the Indian capital market, that is BSE and NSE with a focus on analysing their trading mechanism, efficiency, liquidity and volatility. We analyse the microstructure of BSE and NSE on the basis of: (1) trading mechanism – ownership structure, listing of securities, trading system and settlement and clearing process; (2) information efficiency using unit root test, serial correlation, runs test, variance ratio and the ARIMA model; (3) liquidity using trading statistics no. of listed Companies, market capitalisation, no. of trades etc. and (4) volatility using standard deviation and GARCH(1,1) model. A comprehensive scrutiny on microstructure of BSE and NSE makes it evident that the two leading stock exchanges of India are mostly similar and leave no scope to choose between them. Both the exchanges are demutualised corporate entities with a fully automated trading system in an order-driven market, informationally inefficient as evidenced by the predictability of returns, have shown tremendously growing trading statistics and by and large a declining trend in volatility over the years. Understanding the components of the microstructure black-box will provide the regulatory bodies with an intellectual framework to strengthen the market architecture. Both the exchanges will get aware of the dynamics of trading, can grow to be more competitive and attract more firms for listing and investors for trading of securities. Also, investors, portfolio managers and equity analysts will be able to make better investment strategies by understanding how the market works. Research in the area of market microstructure has been severely neglected, especially in the context of the Indian market. India is the world's fastest growing economies and we have witnessed tremendous reforms in the capital market. The past two and a half decades have brought about several innovations via demutualisation, screen-based trading, emergence of clearing corporations, innovative financial products and intense use of IT in the Indian stock market. A spurt of reforms and the emerging environment make it crucial to deeply analyse the market structure and design of two premier stock exchanges of India – BSE and NSE.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-12-02
      DOI: 10.1108/JAMR-06-2020-0109
      Issue No: Vol. 18, No. 1 (2020)
       
  • Enhancing the construction projects safety performance level to confront
           the civil engineering trades-related hazards
    • Authors: Ahmed Yousry Akal, Amr Metwally El-Kholy
      Abstract: This work affords a practical checklist that specifies the civil engineering trades-related hazards and offers a safety indicator to identify the safety level of a construction project concerning the hazards of the civil engineering trades. The methodology depends on reviewing the archival works, visiting the construction sites, utilizing the direct observation and preliminary hazard analysis methods and conducting semistructured interviews to pinpoint and validate the checklist of the civil engineering trades-related hazards. Additionally, a questionnaire-based survey with the rank sum weight technique has been employed to assemble and analyze the data required to build the safety indicator. Relying upon the used methodology, 70 hazards under the trades of general environment, earth, demolition, excavation, concrete, dewatering, waterproofing insulation and scaffolding have been pinpointed and validated. This is in addition to the safety level indicator of the civil engineering trades-related hazards (SLICETH), which indicates high viability during its validation in five national and international projects. The value of this work lies in its ability to tackle the gap existing in the safety management knowledge regarding the notion of the hazards of the civil engineering trades and their influences on the safety performance of the construction projects. As a result, it offers a complete knowledge to the academics and the practitioners for confronting the negative impacts of the civil engineering trades-related hazards. Consequently, it helps in enhancing the safety performance level in the sites of the construction projects.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-12-01
      DOI: 10.1108/JAMR-08-2020-0198
      Issue No: Vol. 18, No. 1 (2020)
       
  • Postharvest supply chain losses: a state-of-the-art literature review and
           bibliometric analysis
    • Authors: Rahul Priyadarshi, Srikanta Routroy, Girish Kant Garg
      Abstract: The literature review of post-harvest supply chain (PHSC) losses is carried out and analyzed in this paper followed by bibliometric analysis of the literature. The literature survey is performed across various dimensions such as PHSC losses, PHSC risks and PHSC sustainability (waste management and waste reduction). One hundred thirty research articles during the period of 1989–2020 were considered for the review. The PHSC losses have been identified in this literature survey. The calculation and mitigation strategies stated by various researchers in the literature are addressed. The important loss mitigation dynamics are also presented to reduce the PHSC losses and to improve food availability. The major focus is given on the PHSC of agriculture produces. However, research articles from fish and meat supply chain are excluded as they follow a different perishability curve. The current work will add value to the agriculture supply chain literature, provide a platform for PHSC losses and provide assistance/guideline toward loss calculation, loss mitigation, improved rural employability, improved rural entrepreneurship and improved revenue generation. The performed research will assist the researchers, entrepreneurs and farmers to understand the current scenario of food wastage at different stages of the supply chain better. It will provide the guidelines for calculation and mitigation of various stated PHSC losses. This study will be helpful to enhance food availability and food security in post-coronavirus crisis. The paper explores and highlights PHSC loss calculations and mitigation strategies to identify the postharvest loss situation and better utilization of fresh produces.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-11-27
      DOI: 10.1108/JAMR-03-2020-0040
      Issue No: Vol. 18, No. 1 (2020)
       
  • High-performance work practices and medical professionals' work outcomes:
           the mediating effect of perceived organizational support
    • Authors: Mohammad Rabiul Basher Rubel, Daisy Mui Hung Kee, Nadia Newaz Rimi
      Abstract: In this research, we investigate the effect of high-performance work practices (HPWPs) on medical professionals' work outcomes through the mediating effect of perceived organizational support (POS). The study analyzes the opinions of 218 medical doctors from private hospitals in Bangladesh, employing Partial Least Square-Structural Equation Modeling (PLS-SEM). We find that HPWPs enhance employee performance and POS and minimize turnover intention. POS also has a substantial influence on both employee performance and turnover intention. Moreover, POS finds a significant mediating effect on HPWPs and performance as well as HPWPs and turnover intention relations. The current research focuses on medical doctors who are presently working in private hospitals in Bangladesh. First, the hospital would recognize the role of employee perceived HPWPs. Second, they might understand how HPWPs would utilize and maintain employees effectively via POS that might further improve the healthcare industry. Suggestions for future research indicate the models potential to provide optimal workplace environments that can benefit organizations as well as improve employee performance. The study would provide a unique insight into the higher-order HPWPs system and its effects on the health care organizations in developing country contexts like Bangladesh. This study also extends the research on POS as a mediator between higher-order HPWPs and employee outcomes in the organization.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-10-12
      DOI: 10.1108/JAMR-05-2020-0076
      Issue No: Vol. 18, No. 1 (2020)
       
  • Analysis of challenges for automobile service garages in India: a
           structural modeling approach
    • Authors: Ajith Tom James, Girish Kumar, Megha Bhalla, Megha Amar, Prasham Jain
      Abstract: The increase in automobile usage across the world has fortified the opportunities of maintenance service garages. However, there are significant numbers of challenges in front of maintenance service providers at all stages of the business. This paper identifies, analyzes and prioritizes various challenges associated with the establishment and survival of garages specific to Indian context. In this paper, challenges for automotive service garage are identified through expert opinion, garage survey and literature. A structural hierarchical framework of the identified challenges is established through structural models, including interpretive structural modeling and analytic hierarchy process. This paper has identified nine challenges, namely proliferation of new models and variants; technological advancements in automobile systems; demand of better service quality; space and ambience requirements; labor requirements; requirement of modern support equipments, tools and spares; safety requirements and prevention of occupational hazards; environmental norms and concerns; proper documentation requirements. The drivers and dependent variables have been identified. A hierarchical framework of challenges has been established. This paper provides a comprehensive list of challenges and their priority in establishing an automobile maintenance garage business in Indian context. This will help the budding entrepreneurs and existing maintenance organizations to focus on the challenges that necessitate immediate attention and corrective actions. This paper provides a significant contribution in the literature of garage maintenance services, which is established on the viewpoint of different collaborators associated with this business. This study will be a foundation to investigate further in this domain.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-10-09
      DOI: 10.1108/JAMR-04-2020-0059
      Issue No: Vol. 18, No. 1 (2020)
       
  • Investigating design targets for effective performance management system:
           an application of balance scorecard using QFD
    • Authors: Alpana Agarwal
      Abstract: An effective performance management must track level of employee engagement, ensure employee feedback on all aspects and ensure that the people act on that information. Also, it must ensure accessibility of essential conditions to perform. Considering the challenges associated with existing performance management system, present study attempts to discover factual expectations from the employees. The paper also establishes required conditions for fulfilling such expectations. Present study attempts to discover factual expectations from the employees using the Balance Scorecard approach (BSC). Furthermore, using Quality Function Deployment (QFD), relation between employers' expectation and requirements necessary to fulfill such expectations has also been determined. The suggested model has been developed as House Of Performance Management (HOPM) outlining potential leveraging points for enhancing the performance, based on which immediate actionable measures for effective and efficient performance management can also been advocated. The HOQ suggested in this paper can be source of reference while developing performance management system for an organization. Besides, it can help the Human Resource team to discover strategic opportunities and set targets. Effective goal setting, pooled with a method to track progress and identify obstacles, contribute to attainment of bottom to top line results. However, designing and implementing such performance management system has been associated with many challenges like lack of top management support, perception of the process as time-consuming, failure to communicate clear and specific goals and expectations, lack of consistency, etc. (Managing employee performance, 2019). Hence most organizations have been increasingly looking for effective ways of assessing employee performance that can promote stakeholders' satisfaction, employee engagement and continuous improvement.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-09-17
      DOI: 10.1108/JAMR-05-2020-0075
      Issue No: Vol. 18, No. 1 (2020)
       
  • Sampling-based estimation method for parameter estimation in big data
           business era
    • Authors: Abdul Alim, Diwakar Shukla
      Abstract: This paper aims to present sample-based estimation methodologies to compute the confidence interval for the mean size of the content of material communicated on the digital social media platform in presence of volume, velocity and variety. Confidence interval acts as a tool of machine learning and managerial decision-making for coping up big data. Random sample-based sampling design methodology is adapted and mean square error is computed on the data set. Confidence intervals are calculated using the simulation over multiple data sets. The smallest length confidence interval is the selection approach for the most efficient in the scenario of big data. Resultants of computations herein help to forecast the future need of web-space at data-centers for anticipation, efficient management, developing a machine learning algorithm for predicting better quality of service to users. Finding supports to develop control limits as an alert system for better use of resources (memory space) at data centers. Suggested methodologies are efficient enough for future prediction in big data setup. In IT sector, the startup with the establishment of data centers is the current trend of business. Findings herein may help to develop a forecasting system and alert system for optimal decision-making in the enhancement and share of the business. The contribution is an original piece of thought, idea and analysis, deriving motivation from references appended.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-09-10
      DOI: 10.1108/JAMR-05-2020-0072
      Issue No: Vol. 18, No. 1 (2020)
       
  • Achieving mass customization capability: the roles of flexible
           manufacturing competence and workforce management practices
    • Authors: Inayat Ullah, Rakesh Narain
      Abstract: The purpose of this study is to investigate the effects of flexible manufacturing competence (FMC) and workforce management practices (WMP) in facilitating the development of mass customization capability (MCC). More specifically, this research analyzes not only the direct effects of FMC and WMP on MCC but also the moderating effect of WMP on the relationship between FMC and MCC. Building on the resource-based view, a research framework depicting the linkages among the variables of interest has been proposed. The examination of the proposed research model and hypotheses are conducted by applying partial least squares-structural equation modelling (PLS-SEM) on a dataset of Indian manufacturing organizations. The findings suggest that both FMC and WMP significantly and positively affect the development of MCC. Also, the results show that the relationship between FMC and MCC is strengthened by the implementation of WMP. The study identifies several crucial practices for enhancement of flexible manufacturing competence and effective management of the workforce and also highlights the complementarities among them to develop superior MCC. While the research on the antecedent of MCC has increased substantially, the understanding of the interactions among FMC, WMP, and MCC is still limited. This is the first study that sheds light on the interconnectedness among the variables of interest.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-09-07
      DOI: 10.1108/JAMR-05-2020-0067
      Issue No: Vol. 18, No. 1 (2020)
       
  • Narrowing the barriers to Industry 4.0 practices through PCA-Fuzzy AHP-K
           means
    • Authors: Shailendra Kumar, Mohd. Suhaib, Mohammad Asjad
      Abstract: The study aims to analyze the barriers in the adoption of Industry 4.0 (I4.0) practices in terms of prioritization, cluster formation and clustering of empirical responses, and then narrowing them with identification of the most influential barriers for further managerial implications in the adoption of I4.0 practices by developing an enhanced understanding of I4.0. For the survey-based empirical research, barriers to I.40 are synthesized from the review of relevant literature and further discussions with academician and industry persons. Three widely acclaimed statistical techniques, viz. principal component analysis (PCA), fuzzy analytical hierarchical process (fuzzy AHP) and K-means clustering are applied. The novel integrated approach shows that lack of transparent cost-benefit analysis with clear comprehension about benefits is the major barrier for the adoption of I4.0, followed by “IT infrastructure,” “Missing standards,” “Lack of properly skilled manpower,” “Fitness of present machines/equipment in the new regime” and “Concern to data security” which are other prominent barriers in adoption of I4.0 practices. The availability of funds, transparent cost-benefit analysis and clear comprehension about benefits will motivate the business owners to adopt it, overcoming the other barriers. The present study brings out the new fundamental insights from the barriers to I4.0. The new insights developed here will be helpful for managers and policymakers to understand the concept and barriers hindering its smooth implementation. The factors identified are the major thrust areas for a manager to focus on for the smooth implementation of I4.0 practices. The removal of these barriers will act as a booster in the way of implementing I4.0. Real-world testing of findings is not available yet, and this will be the new direction for further research. The new production paradigm is highly complex and evolving. The study will act as a handy tool for the implementing manager for what to push first and what to push later while implementing the I4.0 practices. It will also empower a manager to assess the implementation capabilities of the industry in advance. PCA, fuzzy AHP and K means are deployed for identifying the significant barriers to I4.0 first time. The paper is the result of the original conceptual work of integrating the three techniques in the domain of prioritizing and narrowing the barriers from 16 to 6.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-09-01
      DOI: 10.1108/JAMR-06-2020-0098
      Issue No: Vol. 18, No. 1 (2020)
       
  • Analysis of content strategies of selected brand tweets and its influence
           on information diffusion
    • Authors: Sridevi P, Saikiran Niduthavolu, Lakshmi Narasimhan Vedanthachari
      Abstract: The purpose of this paper is to design organization message content strategies and analyse their information diffusion on the microblogging website, Twitter. Using data from 29 brands and 9392 tweets, message strategies on twitter are classified into four strategies. Using content analysis all the tweets are classified into informational strategy, transformational strategy, interactional strategy and promotional strategy. Additionally, the information diffusion for the developed message strategies was explored. Furthermore, message content features such as text readability features, language features, Twitter-specific features, vividness features on information diffusion are analysed across message strategies. Additionally, the interaction between message strategies and message features was carried out. Finding reveals that informational strategies were the dominant message strategy on Twitter. The influence of text readability features language features, Twitter-specific features, vividness features that influenced information diffusion varied across four message strategies. This study offers a completely novel way for effectively analysing information diffusion for branded tweets on Twitter and can show a path to both researchers and practitioners for the development of successful social media marketing strategies.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-09-01
      DOI: 10.1108/JAMR-06-2020-0107
      Issue No: Vol. 18, No. 1 (2020)
       
  • Application of capital structure theories: a systematic review
    • Authors: Yukti Bajaj, Smita Kashiramka, Shveta Singh
      Abstract: The present study aims to analyse the literature on capital structure theories for the last 21 years to identify the existing gaps and themes for prospective researchers in this domain. A sample of 183 articles published from 1999 to 2019 in the Scopus database using “capital structure theory” and “leverage” as keywords was analysed on various basis. A citation analysis was also performed to recognize impactful authors and papers. The findings revealed that though the capital structure research studies were highly focussed on developed economies, with time, research studies in developing markets are increasing. Further, the capital structure research studies were largely conducted by considering all the industries together, whereas the focus on a particular industrial sector was meagre. Almost all the studies were empirical, thus providing scope for primary research. Various forms of regression were popular econometric techniques used in this area of late. This review highlighted the dominance of trade-off theory to elucidate the capital structure of firms, irrespective of the status of the economy. The comprehensive review uncovered the existing gaps and identified major themes evolving in the capital structure domain. Unlike a traditional review paper, this study classifies sample articles based on several parameters and depicts a graphical presentation of the findings to cover research gaps, avenues, evolving themes, key aspects, impactful authors and their papers, etc. in the capital structure domain. It provides ready-made information available for prospective research studies in this field.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-08-31
      DOI: 10.1108/JAMR-01-2020-0017
      Issue No: Vol. 18, No. 1 (2020)
       
  • Analyzing the barriers to implementation of mass customization in Indian
           SMEs using integrated ISM-MICMAC and SEM
    • Authors: Inayat Ullah, Rakesh Narain
      Abstract: The purpose of this research is to identify the crucial barriers to the implementation of mass customization (MC) in Indian SMEs and to investigate the interactions among them so that important managerial implications could be formulated to facilitate the implementation of MC in SMEs. The contextual relationships and hierarchies of the barriers are established through the interpretive structural modelling (ISM) approach, and MICMAC analysis has been used to classify the barriers into different groups. Further, structural equation modelling based on partial least squares (PLS-SEM) has been applied to statistically validate the ISM model using the data collected through a questionnaire-based survey of Indian organizations. A portfolio of barriers, containing 16 items, has been identified from the literature review and a series of semi-structured interviews of practitioners. The study develops a structural model by establishing relationships and imposing directions among the barriers and classifies the barriers according to their driving and dependence power to serve as a roadmap for SMEs willing to implement MC into practice. The study highlights the critical barriers which have a significant impact on other barriers and need to be handled at priority. Also, the present research renders insights to SMEs to better prioritize their efforts and resources to overcome these barriers. This research happens to be first in the MC literature that investigates the key barriers responsible for hindering the implementation of MC in SMEs and develops a statistically validated contextual model showing hierarchies and relationships of the barriers.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-08-31
      DOI: 10.1108/JAMR-04-2020-0048
      Issue No: Vol. 18, No. 1 (2020)
       
  • Development of a multi-criteria decision-making model for comparing the
           performance of Turkish commercial banks
    • Authors: Yusuf Tansel Ic, Beril Celik, Sevcan Kavak, Busra Baki
      Abstract: In this study, financial performance evaluation model is developed for banks aims to measure and compare the performances of banks based on their financial ratios. Regression-AHP (Analytic Hierarchy Process)-VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) integrated methodology is used. First, a literature review is done to find various bank performance measurement models with their financial metrics being compared. Then, pair-wise comparison matrices are used to find the relative weights of criteria (financial ratios) and finally VIKOR method is used to rank the banks. It is believed that an AHP-based VIKOR framework helps to take up the explicit account of multi-criteria decision making (MCDM) methodologies in decision making and for selecting the best bank in the Turkish economy. In this paper, only selected financial ratios are used and analyzed for the multi-criteria decision-making (MCDM) method. The systematic solution procedure of performance evaluating the banks helps the decision-makers to carry out performance evaluation studies for improving economic and managerial performance. This comparative study and analysis of bank performance using the regression-AHP-VIKOR combined model is presented for the first time. The authors have not become aware of any such studies in their literature review. This paper is an original framework of the application of the regression-AHP-VIKOR on the various financial performance metrics.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-08-28
      DOI: 10.1108/JAMR-05-2020-0083
      Issue No: Vol. 18, No. 1 (2020)
       
  • The mediating effect of productivity on profitability in Indian
           construction firms
    • Authors: Edison Jolly Cyril, Harish Kumar Singla
      Abstract: The paper aims to investigate the effect of firm age and size on profitability and productivity of construction firms in India. It also attempts to understand the indirect effect of firm age and size on profitability mediated through firm's productivity. Data of 64 construction firms, for a period of 12 years (2006–2017), were collected. In order to measure the direct and indirect effect of size and age on profitability and productivity, a structural equation model was developed. In the structural models, productivity is a latent variable measured through proxies of material productivity (MP), labor productivity (LP) and equipment productivity (EP). The profitability is measured using three financial ratios: return on asset (ROA), return on capital employed (ROCE) and return on net worth (RONW). Then the direct and indirect effect of age and size is measured on ROA, ROCE, RONW and productivity. The findings of the study suggest that age has a direct negative effect on profitability; however, it has an indirect positive effect on profitability, which is mediated by firm's productivity. This positive indirect effect compensates the direct negative effect and leads to an overall positive effect of firm age on profitability. However, firm size shows no effect on profitability and productivity. To the best of authors’ knowledge, the study is the first attempt to measure the indirect effect of age and size on profitability, mediated through productivity. The study also examines the interrelationship among firms’ profitability and productivity and bridges an important research gap. The study proposes an integrated theoretical framework with a clear view of the interrelationships among age, size, profitability and productivity for construction firms in India, which can be further tested and validated for generalization.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-08-24
      DOI: 10.1108/JAMR-05-2020-0092
      Issue No: Vol. 18, No. 1 (2020)
       
  • A framework of hiring strategy for manpower hiring in a hyper-local food
           delivery organization
    • Authors: Debadyuti Das, Chirag Yadav
      Abstract: The present work attempts to determine an appropriate number of different categories of Delivery Persons for a Hyper-local Food Delivery Organization for different intervals within a day and across days within a week which would provide a satisfactory level of service to the target customers and at the same time would become cost-efficient. Currently the firm estimates the required number of Delivery Persons for “lunch peak” and “dinner peak” of the next week's weekdays and weekend based on the maximum number of orders occurring during the same period of both weekdays and weekend in the current week. The proposed approach involves determining the projected demand in every four-hourly interval of both week-days and weekend in the next week. Subsequently, the study has developed a simple integer programming model for determining the optimum number of Delivery Persons based on the projected demand data. The existing approach followed by the firm indicates that the Delivery Persons remain unutilized during periods of low demand. The proposed model demonstrated savings to the tune of 21.4% in manpower cost without any erosion in the service level. The study has made three tangible contributions. First, the development of a simple methodology for estimating the demand of next period allows the Managers to utilize dynamic demand data. Second, the development of a simple integer programming model helps managers determine an appropriate number of Delivery Persons in different intervals in both weekdays and weekend. Third, the development of a framework of hiring strategy aids managers in adopting a particular hiring strategy under a particular context keeping in mind the magnitude of demand for food, demand for delivery service and the cost of providing the service.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-08-17
      DOI: 10.1108/JAMR-06-2020-0104
      Issue No: Vol. 18, No. 1 (2020)
       
  • The relation between manager type and high-performance achievement
    • Authors: André de Waal, Erjen van Nierop, Laurens M. Sloot
      Abstract: One of the most important factors for the success of an organization is the quality of its managers. However, this is a rather general statement, because there are many different types of managers with different work styles. This begs the question: are all types of managers, regardless of their work styles, important to organizational success or only managers with specific work styles' This study aims to investigate the answer to this question by examining the relationship between two specific elements of managers' work styles – the role a manager plays in the work team and the preferred manner of change management a manager applies – and their effect on the level of performance of their organization, as measured by the high-performance organization (HPO) framework. This study was part of a larger study into the drivers of success of franchise supermarkets in The Netherlands. A questionnaire was constructed, in which, among others, the following were explored: the level of performance (according to the HPO Framework), the preferred team role of the franchiser (using the Belbin team role model) and the change management approach of the franchiser (using De Caluwe and Vermaak's color theory). The questionnaire was sent to 400 Dutch supermarket franchisers, and the data received were subject to statistical analysis. The study results clearly indicated that certain types of managers are important to organizational success in the supermarket sector. There are specific types of managers – in the sense that these managers have specific roles they play and specific change styles they apply – that seem to be more effective in creating and maintaining an HPO. These roles, as described by Belbin, are chairman and plant; the change style is De Caluwe and Vermaak's color red. The study results add to the literature on high performance and HPOs, because team roles and color change styles have not been related to the factors for high performance to date. Although the fact that certain types of managers, in certain contexts, are more effective than others is not a new finding, this is the first time specific team roles and a specific change style have been found that would enable managers to create and maintain an HPO.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-08-17
      DOI: 10.1108/JAMR-06-2020-0097
      Issue No: Vol. 18, No. 1 (2020)
       
  • Productive workplace behaviour at the governmental sector: the case of the
           UAE
    • Authors: Amna Abdallah, Salam Abdallah
      Abstract: The purpose of this paper is to explore the factors that influence the improvement of productive work behaviour (PWB) in the dynamic, ergonomic nature. The analytic hierarchy process (AHP) is used, in experiment 1, to select and prioritise the most relevant criteria for improvement of PWB. A multi-criteria method is used to analyse and compare the importance of four main criteria and 16 sub-criteria identified from previous studies. The structural equation modelling (SEM) is also used to validate the findings of experiment 1. This study revealed that not all criteria are considered important for improving PWB. Flexibility and job specifications were the top-scored criteria. These criteria collectively accounted for more than 65% of the four studied criteria. The SEM emphasised the significance of flexibility and job description of the changing dynamics of organisational regulation during the contemporary economic and managerial turmoil. This study explored the criteria required to improve PWB. The findings recommend that future studies should be designed to identify new elements and add new criteria and test the newly introduced variables at a physical workplace after the outbreak ends. Knowledge of the differential impacts of the criteria on the performance of PWB govern decision-makers in private and governmental organisation, especially at such times of economic turmoil and need for innovative strategies. Few studies have explored workplace behaviour and the environment in the government sector. Therefore, the focus of this study is the comprehensive coverage of workplace behaviour and the criteria influencing its productivity before and during the coronavirus outbreak.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-08-12
      DOI: 10.1108/JAMR-05-2020-0088
      Issue No: Vol. 18, No. 1 (2020)
       
  • Information asymmetry and stock returns
    • Authors: Anshi Goel, Vanita Tripathi, Megha Agarwal
      Abstract: This study endeavours to examine the relationship between information asymmetry and expected stock returns at the National Stock Exchange (NSE) of India, with a sample of NIFTY 500 stocks for a period ranging from 1st April 2000 to 31st March 2018, by employing three different proxies of information asymmetry: number of transactions, institutional ownership and idiosyncratic volatility. The return differential amongst information-sorted decile portfolios has been assessed to understand the effect of information risk on stock returns by employing (1) traditional measures of performance evaluation like mean, Sharpe,  Treynor and information ratios, (2) regression models like the capital asset pricing (CAPM), Fama and French three-factor, Carhart's four-factor, information-augmented CAPM, information-augmented Fama and French three-factor and information-augmented Carhart's four-factor models and (3) an autoregressive distributed lag (ARDL) model. The empirical evidence indicated that as information asymmetry associated with portfolio increases, returns also expand to recompense investors for bearing information risk validating the existence of a significant positive relationship between information asymmetry and expected stock returns at the NSE. Amongst the various asset pricing models employed in this study, the information-augmented Fama and French three-factor model turned out to be the best in explaining cross-sectional variations in portfolio returns. Strong information premium was observed such that high information stocks outperformed low information stocks which have strong inference for investors and portfolio managers, who all continuously look out for investment strategies that can lend hand to beat the market. Easley and O'Hara (2004) proposed that stocks with more information asymmetry have higher expected returns. Very few studies have examined this relationship between information risk and stock returns that too restricted to the US market only, with a few on other emerging markets. No work has been conducted on the concerned issue in the Indian context. Therefore, it seems to be the first study to explore the relationship between information asymmetry and expected stock returns in the Indian securities market.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-08-10
      DOI: 10.1108/JAMR-05-2020-0084
      Issue No: Vol. 18, No. 1 (2020)
       
  • The relationship between quality of work life and work-life-balance
           mediating role of job stress, job satisfaction and job commitment:
           evidence from India
    • Authors: Alex Aruldoss, Kellyann Berube Kowalski, Satyanarayana Parayitam
      Abstract: The purpose of this study is to investigate the relationship between quality of work-life (QWL) and work-life balance (WLB). Using a structured survey instrument, this paper gathered data from 445 respondents in cosmopolitan city in southern part of India. First psychometric properties of the instrument were tested, and then hierarchical regression was used as a statistical technique for analyzing the data. The hierarchical regression results indicated that QWL is (1) negatively related to job stress, (2) positively related to job satisfaction and (3) positively related to job commitment. The results also indicated that (1) job stress is negatively related to WLB, (2) job satisfaction is positively related to WLB and (3) job commitment is positively related to WLB. The results also show partial mediation of job stress, job satisfaction, and job commitment in the relationship between QWL and WLB. Since the present research is based on self-report measures, the limitations of social desirability bias and common method bias are inherent. However, sufficient care is taken to minimize these limitations. The research has implications for human resource managers in work organizations. This study contributes to both practicing managers and the literature on human resource management. The study suggests that employers need to be aware of the importance of quality of work-life and work-life balance in achieving organizational effectiveness. The study is expected to contribute to the welfare of the society in terms of identifying the antecedents of work-life balance. This study provides new insights about the effects of QWL on WLB through mediating variables. This is a conceptual model developed and tested and first of its kind in India.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-08-01
      DOI: 10.1108/JAMR-05-2020-0082
      Issue No: Vol. 18, No. 1 (2020)
       
  • Blockchain security research: theorizing through bibliographic-coupling
           analysis
    • Authors: Lurdes D. Patrício, João J. Ferreira
      Abstract: The continuous presence and intensity of the Internet of things (IoT) in our lives and the risk of security breaches in traditional transactional and financial platforms are the major cause of personal and organizational data losses. Blockchain emerges as a promised technology to ensure higher levels of data encryption and security. Thus, this study aims to develop a systematic literature review analyzing the previous literature and to purpose of a framework to better understand the process of blockchain security. The 75 articles reviewed were obtained through the Scopus database and a bibliographic-coupling analysis was developed to identify the main themes of this research area, via VOSviewer software. The results enable the categorization of the existing literature revealing four clusters: 1) feasibility, 2) fintech and cryptocurrency, 3) data trust and share and 4) applicability. Blockchain technology is still in its early stage of development and counting on researchers in security and cryptography to take it further to new highs, to allow its applicability to different areas and in long-term scenarios. This systematic literature creates a base to reduce the blockchain security literature gap. In addition, it provides a framework that enables the scientific community to access the main subjects discussed and the articulation between concepts. Furthermore, it enhances the state-of-the-art literature on blockchain security and proposes a future research agenda.
      Citation: Journal of Advances in Management Research
      PubDate: 2020-07-31
      DOI: 10.1108/JAMR-04-2020-0051
      Issue No: Vol. 18, No. 1 (2020)
       
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