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Journal of Advances in Management Research
Number of Followers: 1  Hybrid journal * Containing 1  Open Access article(s) in this issue *ISSN (Print) 0972-7981 - ISSN (Online) 2049-3207 Published by Emerald  [360 journals]
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- Organizations in the knowledge economy. An investigation of
knowledge-intensive work practices across 28 European countries
Open Access Article-
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Authors: Ferry Koster
Abstract: This paper aims to investigate whether the shift towards the knowledge economy (e.g. an increasing reliance in knowledge in the production of goods and services) is related to the work practices of organizations (aimed at the provision of autonomy, investments in training and the use of technology). The analyses are based on data about over 20,000 companies in 28 European countries. National level indicators of knowledge intensity are related to the work practices of these organizations. Multilevel analysis is applied to test hypotheses. The results show that there is a strong and positive relationship between the knowledge intensity of the economy and the use of knowledge intense work practices. To the best of our knowledge, this is one of the first papers to test whether knowledge intensity at the national level is related to the work practices of organizations.
Citation: Journal of Advances in Management Research
PubDate: 2022-05-10
DOI: 10.1108/JAMR-05-2021-0176
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- System dynamics model for intra-city multimodal transportation considering
behavioral indicators and demand under uncertainty conditions-
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Authors: Saeed Tavakkolimoghaddam , Seyyed Mohammad Hadji Molana , Mehrdad Javadi , Amir Azizi
Abstract: By designing a system dynamics model in the form of a multimodal transportation system, this study for the first time seeks to reduce costs and time, and increase customer satisfaction by considering uncertainties in the intra city transit system, especially demand uncertainty and provide a prototype system to prove the capability of the dynamical system. The paper tried to model the factors affecting the intra city multimodal transportation system by defining different scenarios in the cause-and-effect model. The maps and results developed according to system dynamics modeling principles are discussed. Four scenarios were considered given the factors affecting the urban transportation system to implement the transportation information system for reducing the material and non-material costs of wrong planning of the intra city transit system. After implementing the scenarios, scenario two was selected under the following conditions: advertising for cultural development, support of authorities by efforts such as street widening to reduce traffic, optimize infrastructure, increase and optimize public transport and etc. The value of this paper is considering uncertainty in traffic optimization; taking into account behavioral and demand indicators such as cultural promotion, official support, early childhood learning, traffic hours and the impact of traveler social status; investigating the factors affecting the system under investigation and the reciprocal effects of these factors and real-world simulation by considering the factors and effects between them.
Citation: Journal of Advances in Management Research
PubDate: 2022-04-19
DOI: 10.1108/JAMR-07-2021-0249
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- Resilience in food processing supply chain networks: empirical evidence
from the Indian dairy operations-
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Authors: Gyan Prakash
Abstract: This paper identifies sources of disruptions that impede resilience in the dairy supply chain in an emerging economy context. A case study approach is used. The unit of analysis is the Indian dairy supply chain (IDSC). Data were collected from nine major dairy cooperatives and five major private firms operating across the Indian states. A total of 28 face-to-face semi-structured interviews were conducted with two individuals from each case dairy organisation during January 2016 to December 2017. Disruption sources in the IDSC are both external and internal and impact the quality of products and the distribution network. Compared to developed economies, in an emerging economy context such as India, the number of disruptions is very high. These disruptions negatively impact resilience and affect efficiency, flexibility, responsiveness and product quality. The findings stress the importance of integration across upstream and downstream processes in the IDSC. However, contextual factors should also be considered when designing the supply chain configuration. Small supply sources may be conceptualised as distributed sources that can be consolidated on the move using logistics and IT-enabled solutions. Moreover, the underlying processes of the dairy supply chain need to adapt to the external environment, and internal causes of disruptions should be eliminated through process redesign. The findings highlight that the efficient operation of the IDSC is challenged by disruptions, the fragmentation of various stages and poor support infrastructure. The findings may be useful in managing supply networks which have linkages in emerging economies. The upstream stage of the IDSC involves many small- and medium-sized unorganised producers. The overall inefficiency and poor value generation across the entire IDSC constrain the livelihood and interests of these unorganised producers. Therefore, supply chain design needs to be aligned with social context. The central contribution of this article is to present sources of disruptions that impact dairy supply chain performance in an emerging economy context. Areas requiring process improvement are also highlighted.
Citation: Journal of Advances in Management Research
PubDate: 2022-04-12
DOI: 10.1108/JAMR-12-2021-0376
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- A mathematical tri-level programming model for designing an integrated
dynamic petroleum product supply chain-
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Authors: Amin Ahwazian , Atefeh Amindoust , Reza Tavakkoli-Moghaddam , Mehrdad Nikbakht
Abstract: The purpose of this paper is to design petroleum products’ supply chain management, which includes efficient integration of suppliers, manufacturers, storehouses and retailers. This paper proposes that a three-level supply chain will be turned into a bi-level supply chain of petroleum products by simultaneous integration of the middle level with the upstream and downstream levels. Also, it is integrally optimized by considering the multiple managerial flows' mutual results at various supply chain levels. Also, it is integrally optimized by considering the multiple managerial flows' mutual results at various supply chain levels. The concepts of the design, structure and outputs are led by the model's solution. The model also responds to the variations in the market via coordination in the related decisions to the distribution, production and inventory issues, and also coordinating between the demands and production. This paper has limited its analysis to definite values due to the over-expansion of calculations and analysis. Future works can study other aspects of the proposed model for a multi-level petroleum product supply chain in different states of certain parameters and time zones. The designed model can directly and transparently help the oil managers and decision-makers lower the costs of manufacturing, distribution and sales with respect to the determined criteria. This paper establishes that effectiveness of the dynamic petroleum materials supply chain design will increase by considering maintained and increased production costs and coordinate management flows at all levels by supply chain creation’s integration.
Citation: Journal of Advances in Management Research
PubDate: 2022-04-11
DOI: 10.1108/JAMR-08-2021-0285
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- The impact of LinkedIn posts on employer brand perception and the
mediating effects of employer attractiveness and corporate reputation-
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Authors: Jayesh Joglekar , Caroline S.L. Tan
Abstract: The aim of this study is to identify the relationship between employee-generated content (EGC) and firm-generated content (FGC) in the form of LinkedIn posts, employer brand perception, and the effect of employer's attractiveness and corporate reputation on this relationship. This study comprises two phases. In phase 1, the focus was on stimuli selection through an online questionnaire on favourability. In phase 2, for the main study, data were gathered through an online survey from 214 information technology (IT) employees via a survey. Multiple linear regression and mediation analyses were conducted. The results show that EGC and FGC have a positive influence on employer brand perception, and the relationship is positively mediated by employer attractiveness and corporate reputation. These findings suggest that organizations can strategically use their own as well as employees' LinkedIn accounts, and encourage employee advocacy initiatives to attract new talent, enhance attractiveness and corporate reputation. The study covers two different categories of content – employer and employee-generated – and examines both content types' influence on employer brand perception. It adds to the body of literature regarding employee branding and paves the way for further research in employee advocacy.
Citation: Journal of Advances in Management Research
PubDate: 2022-04-06
DOI: 10.1108/JAMR-10-2021-0343
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- Development of balanced scorecard for manufacturing using interpretive
structural modeling and game theory-
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Authors: Mansour Abedian , Atefeh Amindoust , Javid Jouzdani , Maryam Hejazi
Abstract: The purpose of the study is to assess manufacturing firm performance indicators using a reasonably comprehensive integrated BSC-Game model to empirically determine the importance of the perspectives and indicators under evaluation and the best combination of indicators. After identification of manufacturing indicators of the firm, the Shapley value index is used as the solution of the cooperative game to determine the importance of the perspectives and indicators under evaluation and the best combination of indicators to facilitate the achievement of target goals. The game theory approach is used as a technique to rank BSC perspectives of the firm's manufacturing performance. The results reveal that the customers' perspective receives the highest ranking. The knowledge sharing, new technology, customer satisfaction and sale profitability are considered as the best combination of BSC indicators. The integrated BSC-Game framework, approach and outcomes can be beneficial to practitioners and researchers who aim to select the proper indicators’ policy in manufacturing performance field.
Citation: Journal of Advances in Management Research
PubDate: 2022-04-05
DOI: 10.1108/JAMR-08-2021-0293
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- The impact of trust on purchase intention through omnichannel retailing
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Authors: Kedwadee Sombultawee , Woraphon Wattanatorn
Abstract: This study investigates factors in consumer trust and purchase intention through omnichannel retailing. The theoretical framework is an extended theory of planned behaviour (TPB) model, with additional factors including time-saving and trust as explanatory variables. The study drew on a sample of Thai consumers aged 18 and over (n = 408), with data collected through an online survey. Analysis was based on a structural equation modelling (SEM) approach, employing confirmatory factor analysis. The analysis showed that attitudes towards omnichannel retailing had the strongest effect on purchase intention, followed by subjective norms, perceived behavioural control and information search. All variables except attitudes to omnichannel retailing had moderate effect sizes. Analysis also showed that attitudes towards omnichannel retailing had a significant (though only moderately strong) effect on consumer trust towards omnichannel retailing. Subjective norms, perceived behavioural control and time-saving also had significant effects on consumer trust, although these effects were all weaker than the effect of attitudes. Finally, time-saving had a significant and strong effect on perceived behavioural control. These findings show that both personal attitudes towards omnichannel retailing and technology characteristics can influence user acceptance. Its practical implication is that retailers need to consider the psychological needs and attitudes of their customers before implementing omnichannel tools. Theoretically, there is a need for more empirical research into the consumer decision for omnichannel retailing. This is particularly true since omnichannel retailing is a relatively new retail strategy which consumers may not yet fully understand.
Citation: Journal of Advances in Management Research
PubDate: 2022-03-17
DOI: 10.1108/JAMR-06-2021-0196
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- Corporate governance determinants of asset quality in an emerging economy:
evidence from Indian banks-
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Authors: Prashant Kumar Gupta , Seema Sharma
Abstract: This paper aims to identify specific corporate governance determinants of asset quality in the Indian banking system and suggest a future course of action for research in the Indian banking industry. The results will guide other developing nations to handle poor asset quality in banks. Nations with economic interest in India can take cognisance from the results. The authors identify the determinants of asset quality for the Indian banks using novel data from 2010 to 2019 through a dynamic panel data approach. The authors analyse 45 public and private sector banks using general method of moments. The results indicate that intensity of board activities, board functioning and ownership concentration are significant determinants of asset quality. Furthermore, the study hypotheses on board independence and board size are rejected as they do not significantly impact the asset quality. The authors also call for further research on the qualitative aspects of gender diversity, board independence and special committee activity for better insights. This is the first study to identify specific corporate governance determinants of asset quality for the Indian banking system using a dynamic panel data approach with data spanning over ten years from 45 banks. Unlike all other studies, the authors have used both bank-specific and macroeconomic variables as control variables, making the results accurate and reliable. The authors also recognise the persistent nature of asset quality.
Citation: Journal of Advances in Management Research
PubDate: 2022-03-14
DOI: 10.1108/JAMR-05-2021-0182
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- Management of inventory for firms’ efficiency – a study on
steel manufacturing industry-
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Authors: Rashmi Ranjan Panigrahi , Padma Charan Mishra , Alaka Samantaray , Duryodhan Jena
Abstract: The purchase is becoming a more difficult cum tactical decision that affects the cost factor, quality factor, time factor and responsive factor of the buy and maintains them. The purpose of this study is to investigate the effect of inventory management (IM) practices on operational efficiencies (OEs) in Indian steel manufacturing firms. The study is based on a quantitative research design that has collected information from 321 key officials of Indian steel manufacturing firms. The analyses are carried out with the use of statistical techniques such as confirmatory factor analysis and structural equation modeling (SEM). The paper finds that inventory management (IE) has a considerable impact on the OE of steel manufacturing firms in India. The manufacturing industry must highlight the significance of inventory management practice (IMP) for enhancing firm efficiencies in a volatile environment with the help of management teams. Understanding the impact of IE practices on firms’ OE would be helpful for company shareholders and investors. The paper suggests the manufacturing industry to emphasize the role of inventory management practices to have better productivity of the firm. This research focuses on the relationship between IMP and OE. Effective and efficient use of inventory will be helpful in reducing the overall cost of production and reduced costs to customers. Companies require resources to attain a long-term competitive edge. Also, as a consequence, the research is compatible with resource-based view (RBV) theory.
Citation: Journal of Advances in Management Research
PubDate: 2022-01-31
DOI: 10.1108/JAMR-08-2021-0273
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- Multi-criteria decision analysis of significant enablers for
a competitive supply chain-
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Authors: Satbir Singh , Vivek Agrawal , R.P. Mohanty
Abstract: The purpose of this research paper is to study the significant enablers for a competitive supply chain and analyze the relationships among them by using multi-criteria decision-making (MCDM) techniques. The supply chain (SC) managers will get better insights from the models of this study to design their SCs that are more competitive for competitive advantage. After an extensive review of literature followed by experts' opinions, 21 significant enablers for a competitive SC (CSC) were selected for structural modeling using MCDM techniques of total interpretive structural modeling (TISM), Impact Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC), followed by decision-making trial and evaluation laboratory (DEMATEL) approach. Top management commitment is the most prominent causing enabler of a CSC; customer satisfaction is the topmost effect enabler; the operational performance of individual firms in the supply chain is a crucial enabler of a CSC. The results and findings of this study would provide better insights to SC professionals and practitioners to comprehend the significant enablers of a CSC for designing and executing SC operations more competitively to achieve better customer satisfaction and sustainable business performance. To the best of the authors’ knowledge, this is a foremost study focusing on the significant enablers of a CSC by utilizing the TISM along with MICMAC and DEMATEL methods. It is expected that this research will offer useful guidance for assessing and considering the SC enablers for achieving a CSC and facilitate new research in this area with more thrust.
Citation: Journal of Advances in Management Research
PubDate: 2022-01-31
DOI: 10.1108/JAMR-09-2021-0322
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- Green supply chain management implementation: modeling the green supply
chain practices (GSCPs)-
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Authors: Sarika S. Panpatil , Ravi Kant
Abstract: This study aims to identify and recognize the interrelationship between green supply chain practices (GSCPs) and analyze the effect of GSCPs on green supply chain management (GSCM) implementation on the premise of driving and dependence power of GSCPs. This research identifies twenty GSCPs with the consultation of the team of industry practitioners and academicians. Interpretative structural modelling (ISM) is applied to develop the relationship between GSCPs, which gives the direct and indirect effects of each GSCPs. The result obtained from ISM is used as an input for Fuzzy matriced impacts croises multiplication appliquee a un classement (Fuzzy MICMAC) to identify the driving and dependence power of GSCPs. An integrated model has been established using ISM and the Fuzzy MICMAC method to categorize the GSCPs. It reveals the direct and indirect effect of each GSCPs on the execution of GSCM. The result shows that driver GSCPs have deliberate importance because of their driving power and dependent GSCPs are more performance-oriented. ISM model and fuzzy MICMAC analysis depends on the judgment of the professional's team from a single industry. These opinions may be subjective judgments of the experts and any biasing may influence the final result. This study gives significant guidance to industry practitioners and academicians. Industry practitioners need to concentrate on these most significant GSCPs for the successful implementation of GSCM. They must also plan for the growth of GSCM by concentrating on all GSCPs. On the other side, academicians may be motivated to categorize other issues which are essential for GSCPs. In this research, an effort has been made to identify the significant GSCPs for GSCM implementation on a single platform. A huge literature is available on GSCPs, but none of the researchers paid attention to model these GSCPs using ISM and fuzzy MICMAC.
Citation: Journal of Advances in Management Research
PubDate: 2022-01-28
DOI: 10.1108/JAMR-07-2021-0241
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- Financial development: Is it an advantage or obstacle for monetary
policy'-
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Authors: Thi Lam Ho
Abstract: The objective of this study is to assess the impact of financial development (FD) on monetary policy efficiency (MPE) in developed G7 countries in the period 1980–2017, based on data availability. This study followed a two-step process as follows: (1) using the Monte Carlo simulation based on Taylor curve theory to build the MPE measure and (2) evaluating the effect of FD on MPE by feasible generalized least squares (FGLS) estimation. The results of this study show that (1) MPE varies over time. Monetary policy appears ineffective during the crisis period and is subject to many impacts of domestic and external shocks. On the contrary, the ability to influence the economy to achieve the central bank's goal tends to increase in the recovery stages, and this is in line with the actual. (2) FD has a negative impact on MPE. Interestingly, when considering the role of component FD indicators, the development of financial markets (FMs) has a negative impact on MPE while the development of financial institutions (FIs) has a positive impact. In particular, the impact of FI on MPE is mainly attributed to the impact of the depth of FI. Meanwhile, the impact of FM on MPE is mainly due to the impact of the efficiency in the FM. To the author’s knowledge, this is the first study that evaluates the impact of FD on MPE in the context of measuring MPE by using the Taylor curve theory. Results from this study suggest a scientific and practical MPE measure and provide significant policy implications. This paper also offers suggestions for future research.
Citation: Journal of Advances in Management Research
PubDate: 2022-01-25
DOI: 10.1108/JAMR-03-2021-0103
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- Key drivers that impact the quality of education – a holistic
approach-
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Authors: Nitin Gupta , Prem Vrat , Ravindra Ojha
Abstract: The education sector acts as an input for every other sector and contributes around 7% to the service industry; hence, it is important to identify, measure and analyze the drivers that impact the delivered service quality. This paper used different approaches to identify measure and analyze the drivers that impact the service quality. In addition to a thorough literature review, qualitative tools like brainstorming, the focused group technique, and the survey technique have been used. Decision-making tools like the analytic hierarchy process (AHP), and a quantitative tool, one-sample t-test, with the help of MINITAB software, were used to analyze the inputs received from 179 experts. By using the stated approach, the planned research outcomes have been achieved. Quality of teachers, quality of students, quality of policies, and quality of facilities have been identified as the key drivers that impact quality of education. The paper highlights that the people quality drivers play a significantly important role in the quality of education when compared to the quality of non-people drivers. From the statistical analysis of the hypotheses, it was inferred that the People quality consisting of the quality of a teacher and the quality of students are the two prominent drivers to the Quality of education. This paper demonstrates the importance of the quality of a teacher and its significance to the quality of education. The recommendations made might be considered for the implementation, which can improve the quality of education in the country. This paper is focused on the data collected from the experts in the top-ranked management institutes only. The data from the experts from undergraduate institutions and other management institutes could have added more value. In the paper, the drivers were identified and further analyzed to suggest that teacher quality is a dominant driver of education quality. The findings also suggest that there should be a high focus on having a great quality teacher as compared to the facilities. The weights identified will enable the researcher to arrive at the overall quality scores of any Institute. As a part of the process, the user just needs to collect the ratings from the end customers (the parents of the students) against each driver, and the institute level scores can be derived. These scores can then be used by the Institute's management to analyze the results and improve upon the weak areas to improve the delivered service quality in the education sector. A holistic approach to exploring major drivers that impact the quality of education is a new approach. Moreover, using different tools like AHP, hypothesis testing, t-test, using the coefficient of variation in a single paper has not been attempted before. The revalidations of accepted hypotheses with respondents is also a new approach.
Citation: Journal of Advances in Management Research
PubDate: 2022-01-13
DOI: 10.1108/JAMR-08-2021-0287
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- Examining internal capability determinants on firms' financial performance
before and after going public: a case of listed firms in Thailand-
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Authors: Tanakrit Wattanawarangkoon , Janthorn Sinthupundaja , Nathridee Suppakitjarak , Navee Chiadamrong
Abstract: This study aims to empirically analyze the effect of firm financial strengths (liquidity, leverage, and cost of goods sold) and firm characteristics (utilization, tangibility and company size) towards firm financial performance and study the differences of these effects before and after firms going public. The analysis is based on 159 firms listed on the Stock Exchange of Thailand (SET) during the transition periods of interest from one year before each firm became a listed firm and up to five years after becoming a listed firm (data collection from 2002 to 2019). Fuzzy set qualitative comparative analysis (fsQCA) is applied for the analysis. The empirical evidence shows that the firms have to maintain different levels of determinants during different years of operation. Before becoming listed firms, the firms' size plays a significant role in determining the firms' financial performance. Different characteristics are required, according to the size of the firms. One year after becoming listed firms, a low level of production and operating expenses in relation to sales and low leverage are the two important factors for superior financial performance. Then, 2–5 years after becoming listed firms and after a steady state is reached, two more factors, good liquidity and high tangibility, are shown to be significant for good financial performance of the firms. Unlike prior studies, this study explains the causal relationships or combinations of determinants of financial strengths and firm characteristics, before and after going public toward good financial performance of firms, which cannot be identified by analyzing the calendar-year performance.
Citation: Journal of Advances in Management Research
PubDate: 2022-01-11
DOI: 10.1108/JAMR-06-2021-0202
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- R&D tax incentives and innovation: unveiling the mechanisms behind
innovation capacity-
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Authors: Cicero Eduardo Walter , Manuel Au-Yong-Oliveira , Cláudia Miranda Veloso , Daniel Ferreira Polónia
Abstract: There is a scarcity of empirical evidence in the literature on the chain of causality involving tax incentives for Research and Development (R&D) activities and their subsequent transformation into innovation. This study aims to assess the influence of R&D tax incentives on the organizational attributes of Portuguese firms to identify how they are converted into innovation. A structural research model consisting of 339 companies that benefited from the Fiscal Incentive System supporting R&D in Enterprises, during the period from 2013 to 2016, was developed. This was done to assess the role of R&D tax incentives on the organizational attributes that form the innovation capacity. The model was validated using the multivariate statistical technique of structural equation modeling with partial least squares estimation (partial least squares structural equation modeling – PLS-SEM). The results found suggest that although it is not possible to unequivocally identify the mechanisms used to convert tax incentives into innovation, it is possible to conclude that they play an important spillover effect for the construction and strengthening of organizational attributes. These form the basis of innovation capacity, to the extent that they positively influence the firms’ total assets, equity, liabilities, number of employees and sales. Hence, contributions are brought to both the literature on tax incentives and the general literature on innovation. For policymakers, the evidence points to the fact that in addition to the incentives provided, novel mechanisms need to be established to help firms develop their absorptive capacity. The objective is to effectively convert the incentives received into innovation through the organizational attributes analyzed. From the firms’ point of view, the results found suggest that tax incentives act as a catalyst for making R&D investments. Additionally, there is an influence on employability, which effectively enhances the chances of innovation in the long run. Tax incentives received by Portuguese firms also have the effect of promoting economic dynamism – by enhancing the following: investments in infrastructure, the hiring of employees and the increasing of sales, generating positive externalities for both firms and society.
Citation: Journal of Advances in Management Research
PubDate: 2022-01-04
DOI: 10.1108/JAMR-06-2021-0194
Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
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- Supply chain sustainability risk decision support model using integrated
Preference Selection Index (PSI) method and prospect theory-
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Authors: Agung Sutrisno , Vikas Kumar
Abstract: The purpose of this paper is to introduce the integrated model of the Preference Selection Index (PSI) and the prospect theory as new means to appraise the impact of supply chain sustainability risks based on five pillars of sustainability. Research has shown that sustainability risk assessment has a strong positive impact on improving the performance of enterprises. This study adopts a new decision support model for assessing supply chain sustainability risk based on additional failure mode and effect analysis parameters and its integration with PSI methodology and prospect theory. A case example of the supply chain small and medium enterprise (SME) producing fashion have been used in this study. The result of this study reveals some critical supply chain sustainability risks affecting the sustainability of enterprises under study. The use of a limited sample is often associated as a limitation in the research studies and this study is based on findings from SMEs in the fashion retail supply chain. This preliminary study provides academics and practitioners an exemplar of supply chain sustainability risk assessment using integration of the PSI method and prospect theory. The result of this study is beneficial for practitioners, particularly owner–managers of SMEs who can use this study as guidance on how to consider risk behavior to identify and select the critical sustainability risks and plan mitigating strategies accordingly. Scientific studies on using the PSI and its integration with prospect theory as means to assess the criticality of supply chain sustainability risks is very rare. To the best of the authors’ knowledge, this is the first paper that presents the integrated model of the PSI and prospect theory to rank supply chain sustainability risks based on five pillars of sustainability.
Citation: Journal of Advances in Management Research
PubDate: 2022-02-04
DOI: 10.1108/JAMR-06-2021-0193
Issue No: Vol. 19 , No. 2 (2022)
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- The moderating role of remote work in the relationship between
organizational culture and OCB: case studies from the financial sector-
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Authors: Zoltán Krajcsák , Anita Kozák
Abstract: The purpose of this article is to show how remote working affects employees' organizational citizenship behavior (OCB). The authors conducted research on organizations in the financial sector, as this segment was able to easily adapt to the challenges of remote working and teleworking. They used the case study approach: they analyzed organizational documents and management communications related to crisis management back to March 2020, when the pandemic started in Hungary, and conducted semi-structured interviews with managers and subordinates. The results highlighted that the dominant organizational culture determines the effects of remote working on OCB. In organizations with a dominant market culture, OCB has changed the least because of the home office, with only a decline in the dimension of civic virtue. In organizations with a dominant clan culture, conscientiousness decreased, while the other three dimensions increased. The dominant hierarchy culture reacted the most unfavorably, excluding the dimension of courtesy, as all dimensions decreased. The study shows how the pandemic and working in home office have changed the dimensions of OCB in different organizational cultures.
Citation: Journal of Advances in Management Research
PubDate: 2022-01-10
DOI: 10.1108/JAMR-07-2021-0247
Issue No: Vol. 19 , No. 2 (2022)
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- Food supply chain management (FSCM): a structured literature review and
future research agenda-
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Authors: Santosh Patidar , Apratul Chandra Shukla , Vijay Kumar Sukhwani
Abstract: The main purpose of this paper is to conduct a review of the literature published on food supply chain management (FSCM) in last one and half decade to find out the ongoing research in the field, identify gaps and develop relevant research questions (RQs) from the perspectives of academicians, researchers, policymakers and corporate for the future research. In all 281 research articles published on FSCM between the years 2005 and 2020 used for searching online databases such as Emerald, Science Direct (Elsevier), Springer and Wiley online. The methodology of structured review and classification involves various dimensions such as journal, publishing house, country, research design and methods, data analysis tool and multi-criteria decision-making methods. It is found that the research in the field of FSCM has gained momentum in the last one and half decades. Majority of published articles are related to food supply chain management and food cold chain. Fewer authors have addressed issues and challenges related to food chain in developing country like India and still fewer studies are found on comparison of present food chain management practices adopted by developing countries like India vis-à-vis developed countries. Also it is observed that limited research is reported in food chain logistics system and intelligent tracking system. This paper is limited to reviewing only those articles which are related to food chain management. The main objective of this comprehensive review of literature is to present the various perspectives of food chain management and its numerous challenges. This paper attempts to draw the attention of researchers for further research in the FSCM disciplines. The findings provide future research directions, need of sound policymaking and regulatory mechanism to ensure food security to world's second largest populous country.
Citation: Journal of Advances in Management Research
PubDate: 2021-10-18
DOI: 10.1108/JAMR-04-2021-0143
Issue No: Vol. 19 , No. 2 (2021)
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- The relationship between work–life balance and job satisfaction:
moderating role of training and development and work environment-
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Authors: Alex Aruldoss , Kellyann Berube Kowalski , Miranda Lakshmi Travis , Satyanarayana Parayitam
Abstract: The purpose of this study is to investigate the relationship between work–life balance (WLB) and job stress, job commitment and job satisfaction. Further, the role of work environment and training and development as moderators in the relationship between WLB and its consequences is investigated. Using a structured survey instrument, this paper gathered data from 331 respondents working in a transportation company in southern part of India. After checking the psychometric properties of the structured survey instrument, the authors analyzed data using hierarchical regression and structural equation modeling. The hierarchical regression results indicated that WLB 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 job satisfaction, and (2) job commitment is positively related to job satisfaction. The results also support that work environment is a moderator in the relationship between (1) WLB and job stress, and (2) WLB and job satisfaction. Results also documented that training and development is a moderator in the relationship between (1) job stress and job satisfaction, and (2) job commitment and job satisfaction. Since the present research is based on self-report measures, the limitations of common method bias and social desirability are inherent. However, the authors have taken sufficient care to minimize these limitations. The research has implications for managers in work organizations. This study contributes to both literature on human resource management and practicing managers. The study suggests that employers need to be aware of the importance of WLB and invest moneys into training and development programs. Results also suggest maintaining congenial work environment to help employees maintain balance between work and life. The study is expected to contribute to the welfare of the society in terms of identifying the consequences of WLB. This study provides new insights about the consequences of WLB through moderating role of training and development and work environment. To the authors’ knowledge, this is a conceptual model developed and tested and first of its kind in India.
Citation: Journal of Advances in Management Research
PubDate: 2021-09-14
DOI: 10.1108/JAMR-01-2021-0002
Issue No: Vol. 19 , No. 2 (2021)
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- An inventory model for fish marketing under uncertain lockdown situation
and normal backordering situation-
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Authors: Kuppulakshmi V , Sugapriya C , Nagarajan Deivanayagam Pillai
Abstract: This research formulated to obtain the optimum ordered quantity and optimum inventory range of fish products under the conditions: (1) fully back ordered (lockdown) and (2) partial back ordered (normal geographical market). In both the cases, due to the deterioration nature and in quarantine situation some vendors are not able to satisfy the customers (retailers). So in this model, the cost of penalty is introduced in quarantine time to obtain the optimal total cost. To find the total cost, holding cost, shortage cost and deterioration cost have to be considered. There are so many disadvantages in holding the deteriorating food products. Due to the demand and deterioration, the holding cost of the fish products is determined. The supply chain of fish marketing process to find the optimum total cost and optimum back ordered quantity in the two situations, namely, (1) normal backordering and (2) Quarantine period is explained. The conclusion of this research is exhibited for the uncertain lockdown situation and the normal geographical markets. But in both the cases, the demand function is dependent on the backorder quantity. The expected total cost of the retailers of fish products increased at the least possible range with the increase in the shortage parameter, cost of penalty and variance. But the change in mean value leads to decreasing in the back ordered quantity, inventory level and the annual total cost of the retailers. This analysis contributes to the service of supply chain from wholesaler to retailer in high level. Fish products are very essential for nourishment and economic spread in India. This study has spotlight the efficient method for reducing the total cost of the retailers of fish marketing. The cost of deterioration of fish is high because of its perishable nature. Due to lockdown situation, the holding cost of the fish products depends upon the backordered quantity of geographical market of fish. This research formulated to obtain the optimum ordered quantity and optimum inventory range of fish products under the conditions: (1) fully back ordered (lockdown) and (2) partial back ordered (normal geographical market). Due to lockdown situation, the holding cost of the fish products depends upon the backordered quantity of geographical market of fish. This research formulated to obtain the optimum ordered quantity and optimum inventory range of fish products. This research formulated to obtain the optimum ordered quantity and optimum inventory range of fish products under the conditions: (1) fully back ordered (lockdown) and (2) partial back ordered (normal geographical market). In both the cases, due to the deterioration nature and in quarantine situation some vendors are not able to satisfy the customers (retailers). So in this model, the cost of penalty is introduced in quarantine time to obtain the optimal total cost. A few number of sensitivity analysis are carried out for deterioration rate, shortage parameter and cost of penalty to indicate the existence of total cost in the least possible range.
Citation: Journal of Advances in Management Research
PubDate: 2021-08-03
DOI: 10.1108/JAMR-09-2020-0249
Issue No: Vol. 19 , No. 2 (2021)
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- Adaptive customer relationship management contingency model under
disruptive events-
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Authors: Frank Lozada-Contreras , Karen L. Orengo-Serra , Maria Sanchez-Jauregui
Abstract: Given that few studies examine how disruptive events affect customer relationships during and after the event, this study examines the resilience of companies in Puerto Rico, their underlying vulnerabilities, and how they deployed customer relationship management (CRM) resilience strategies during and after Hurricane Maria. The study analyzed data gathered from qualitative focus groups composed of 41 firms via an exploratory approach. Participants were business owners and managers of enterprises in Puerto Rico. All companies faced critical government infrastructure failures that affected their CRM activities. Firms implemented one or more CRM resilience strategies in response to the natural disaster. Accordingly, a comprehensive, adaptive CRM contingency model was postulated using marketing crisis management strategies discussed in the literature, existing resilience models and research studies in marketing resilience. The adaptive CRM contingency model operationalizes all processes at the business-logic level via the event-driven process chain (EPC) language, thus making it easier to understand and employ. This study presents a unique model that shows the value of CRM and its capacity to evolve under disruptive environments that affect company–customer relationships. The operationalization of the model allows practitioners, policymakers and academic researchers to better understand how CRM is not only a suitable tool for managing business continuity after a natural disaster but also a mitigating technique for responding to new customer needs and expectations.
Citation: Journal of Advances in Management Research
PubDate: 2021-05-26
DOI: 10.1108/JAMR-12-2020-0347
Issue No: Vol. 19 , No. 2 (2021)
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- Analysing the critical success factors and the risks associated with
third-party logistics in the food supply chain:-
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Authors: Saket Shanker , Hritika Sharma , Akhilesh Barve
Abstract: The purpose of this study is to analyse various risks associated with third-party logistics (3PL) in the coffee supply chain and to present a framework that computes the influence of these risks on the critical success factors of the coffee supply chain. The risks have been identified through a comprehensive literature review and validation by industry experts. The paper utilises an interpretive structural modelling (ISM) methodology for developing a hierarchical relationship among the CSFs. Furthermore, fuzzy MICMAC analysis is carried out to categorise these CSFs based on their driving power and dependence value. The fuzzy technique for order preferences by the similarity of an ideal solution (fuzzy-TOPSIS) approach has been applied to prioritise the risks associated with 3PL based on their ability to influence the CSFs of the coffee SC. Furthermore, we performed a sensitivity analysis to analyse the stability of the results obtained in this study. This study illustrates ten risks associated with 3PL and five CSFs in the coffee supply chain. The analysis revealed that coffee enterprises need to develop a balanced pricing strategy to ensure a sustainable competitive advantage, whereas the lack of direct customer communication is the most dominant 3PL risk affecting the CSFs. This research provides coffee enterprises with a generalised framework with set parameters that can be used to attain a successful coffee supply chain in any developing nation. The study contributes to the literature by being the first kind of study, which has used fuzzy ISM-MICMAC to analyse the CSFs of the coffee supply chain and fuzzy-TOPSIS for analysing the impact of various risks associated with the 3PL in the coffee supply chain. Thus, this work can be considered a benchmark for future research and advancement in the coffee business field.
Citation: Journal of Advances in Management Research
PubDate: 2021-04-29
DOI: 10.1108/JAMR-11-2020-0307
Issue No: Vol. 19 , No. 2 (2021)
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- Journal of Advances in Management Research
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