Pub Date : 2023-06-05DOI: 10.1108/jamr-02-2023-0053
Š. Bojnec, I. Fertő
PurposeThis article aims to investigate the financial constraints and nonlinearity of farm size growth.Design/methodology/approachFarm size growth is measured with land, labor and output using data from the Farm Accountancy Data Network (FADN) for Hungary and Slovenia. A dynamic panel model is applied to assess financial constraints and nonlinearity of farm size growth.FindingsResults show that, except for land in Slovenia and output in Hungary, liquidity constraints are less important for farm size growth than endogenous factors based on farm size growth expectations and steady farm size restructuring. Smaller farms are growing faster than larger ones. The hypothesis that a higher level of subsidies would increase farm size is not supported for Hungary. When farms reach a certain size, the land area of the largest farms increases. Farm debts in Hungary are linked with land growth and in Slovenia with output growth.Research limitations/implicationsFurther research on the impact of liquidity constraints and subsidies can be conducted at a disaggregate farm-type level to examine whether there is variability in the underlying interlinkages at the farm-type specialization level.Practical implicationsThe implication that farm size growth is dependent on initial size and that smaller farms are growing faster than bigger ones indicates that it is not necessary to favor the fastest growing smaller farms thus supports the application of a non-discriminatory farm size policy for observing farm size structural changes.Originality/valueThe dynamic panel econometric model that incorporates cash flow as a measure of financial constraints provides insight into farm size growth in cross-country comparison in relation to potential farm liquidity constraints, farm debt and the nonlinearity of farm size, which information is of relevance to policy makers and practitioners.
{"title":"Financial constraints and nonlinearity of farm size growth","authors":"Š. Bojnec, I. Fertő","doi":"10.1108/jamr-02-2023-0053","DOIUrl":"https://doi.org/10.1108/jamr-02-2023-0053","url":null,"abstract":"PurposeThis article aims to investigate the financial constraints and nonlinearity of farm size growth.Design/methodology/approachFarm size growth is measured with land, labor and output using data from the Farm Accountancy Data Network (FADN) for Hungary and Slovenia. A dynamic panel model is applied to assess financial constraints and nonlinearity of farm size growth.FindingsResults show that, except for land in Slovenia and output in Hungary, liquidity constraints are less important for farm size growth than endogenous factors based on farm size growth expectations and steady farm size restructuring. Smaller farms are growing faster than larger ones. The hypothesis that a higher level of subsidies would increase farm size is not supported for Hungary. When farms reach a certain size, the land area of the largest farms increases. Farm debts in Hungary are linked with land growth and in Slovenia with output growth.Research limitations/implicationsFurther research on the impact of liquidity constraints and subsidies can be conducted at a disaggregate farm-type level to examine whether there is variability in the underlying interlinkages at the farm-type specialization level.Practical implicationsThe implication that farm size growth is dependent on initial size and that smaller farms are growing faster than bigger ones indicates that it is not necessary to favor the fastest growing smaller farms thus supports the application of a non-discriminatory farm size policy for observing farm size structural changes.Originality/valueThe dynamic panel econometric model that incorporates cash flow as a measure of financial constraints provides insight into farm size growth in cross-country comparison in relation to potential farm liquidity constraints, farm debt and the nonlinearity of farm size, which information is of relevance to policy makers and practitioners.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45882402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-05DOI: 10.1108/jamr-09-2022-0196
A. Hegde, A. K. Panda, Venkateshwarlu Masuna
PurposeThis paper aims to investigate the non-homogeneity in the speed of adjustment (SoA) of the capital structure of manufacturing companies. It also attempts to study the key determinants that accelerate the speed of adjustment towards the target leverage level.Design/methodology/approachUsing the dynamic panel fraction (DPF) estimator on the partial adjustment model, the study captures the heterogeneous SoA of 2,866 firms across eight prominent sectors of the Indian manufacturing industry from 2009 to 2020. To ensure robustness, the empirical inferences of DPF are cross-verified with the estimates of panel-corrected standard errors (PCSE).FindingsThe authors find a combination of the capital structure's slow, moderate and rapid adjustment speed along with the relevance of trade-off theory. Interestingly, the lowest and fastest SoA is recorded by the dwindling textile sector and expanding food and agro sector, respectively. Profitability, firm size, asset tangibility and non-debt tax shields are the key firm-specific parameters that impact the SoA towards the target.Originality/valueAvailing the rarely employed estimator ‘DPF’ and the objective of documenting diverse and non-uniform adjustment speeds across the Indian manufacturing sectors marks a novel addition to capital structure literature.
{"title":"Sectoral analysis of capital structure adjustment: evidence from emerging market","authors":"A. Hegde, A. K. Panda, Venkateshwarlu Masuna","doi":"10.1108/jamr-09-2022-0196","DOIUrl":"https://doi.org/10.1108/jamr-09-2022-0196","url":null,"abstract":"PurposeThis paper aims to investigate the non-homogeneity in the speed of adjustment (SoA) of the capital structure of manufacturing companies. It also attempts to study the key determinants that accelerate the speed of adjustment towards the target leverage level.Design/methodology/approachUsing the dynamic panel fraction (DPF) estimator on the partial adjustment model, the study captures the heterogeneous SoA of 2,866 firms across eight prominent sectors of the Indian manufacturing industry from 2009 to 2020. To ensure robustness, the empirical inferences of DPF are cross-verified with the estimates of panel-corrected standard errors (PCSE).FindingsThe authors find a combination of the capital structure's slow, moderate and rapid adjustment speed along with the relevance of trade-off theory. Interestingly, the lowest and fastest SoA is recorded by the dwindling textile sector and expanding food and agro sector, respectively. Profitability, firm size, asset tangibility and non-debt tax shields are the key firm-specific parameters that impact the SoA towards the target.Originality/valueAvailing the rarely employed estimator ‘DPF’ and the objective of documenting diverse and non-uniform adjustment speeds across the Indian manufacturing sectors marks a novel addition to capital structure literature.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46294417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-15DOI: 10.1108/jamr-01-2023-0005
Ehsan Kordi, Mohammadreza Abdoli, Hassan Valiyan
PurposeWith the emergence of the basis of intellectual capital, competitive advantage was considered as the focus of competitive strategies, and the knowledge resulting from this approach became the basis for the development and strategic directions of companies in various fields of the company such as finance and accounting. The purpose of this study is sustainable intellectual capital reporting framework and evaluation of key examples in the context of capital market companies.Design/methodology/approachThe methodology of this study was exploratory from the point of view of the developmental result and based on the type of objective and qualitative and quantitative basis was used to collect the data. The statistical population in the qualitative part was university experts and in the quantitative part financial managers of capital market companies. Data collection tools were interviews in the qualitative part and fuzzy scales and language comparison checklists in the quantitative part. Therefore, first through three stages of coding, the dimensions of the model were identified, and based on the fuzzy Delphi analysis, the reliability level was determined through the average between the first round and the second round of Delphi. Finally, through the default tests, the appropriate fuzzy model was first determined, and then hierarchical fuzzy analysis based on TODIM's approach was used to determine the most favorable axis of sustainable intellectual capital reporting.FindingsThe results in the qualitative part indicate the existence of 3 categories and 6 components and 39 conceptual themes in the form of a six-dimensional model. In the quantitative part, the results showed that by confirming the dimensions identified through fuzzy Delphi analysis, the most desirable axis of intellectual capital reporting is the component of technological capital reporting, which can play a more effective role in sustainable reporting.Originality/valueThis study, relying on the importance of the consequences of sustainable intellectual capital reporting, tries to evaluate the consequences of this field of financial reporting due to the lack of a coherent theoretical framework about capital market companies. In addition, the framework presented in this study promotes integrated thinking for firms to it would provide some level of incentive to those charged with governance concerning the voluntary compliance with the sustainable intellectual capital reporting framework.
{"title":"Antecedents and consequences of sustainable intellectual capital reporting: evidence from Iran","authors":"Ehsan Kordi, Mohammadreza Abdoli, Hassan Valiyan","doi":"10.1108/jamr-01-2023-0005","DOIUrl":"https://doi.org/10.1108/jamr-01-2023-0005","url":null,"abstract":"PurposeWith the emergence of the basis of intellectual capital, competitive advantage was considered as the focus of competitive strategies, and the knowledge resulting from this approach became the basis for the development and strategic directions of companies in various fields of the company such as finance and accounting. The purpose of this study is sustainable intellectual capital reporting framework and evaluation of key examples in the context of capital market companies.Design/methodology/approachThe methodology of this study was exploratory from the point of view of the developmental result and based on the type of objective and qualitative and quantitative basis was used to collect the data. The statistical population in the qualitative part was university experts and in the quantitative part financial managers of capital market companies. Data collection tools were interviews in the qualitative part and fuzzy scales and language comparison checklists in the quantitative part. Therefore, first through three stages of coding, the dimensions of the model were identified, and based on the fuzzy Delphi analysis, the reliability level was determined through the average between the first round and the second round of Delphi. Finally, through the default tests, the appropriate fuzzy model was first determined, and then hierarchical fuzzy analysis based on TODIM's approach was used to determine the most favorable axis of sustainable intellectual capital reporting.FindingsThe results in the qualitative part indicate the existence of 3 categories and 6 components and 39 conceptual themes in the form of a six-dimensional model. In the quantitative part, the results showed that by confirming the dimensions identified through fuzzy Delphi analysis, the most desirable axis of intellectual capital reporting is the component of technological capital reporting, which can play a more effective role in sustainable reporting.Originality/valueThis study, relying on the importance of the consequences of sustainable intellectual capital reporting, tries to evaluate the consequences of this field of financial reporting due to the lack of a coherent theoretical framework about capital market companies. In addition, the framework presented in this study promotes integrated thinking for firms to it would provide some level of incentive to those charged with governance concerning the voluntary compliance with the sustainable intellectual capital reporting framework.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45219718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recruitment and selection are the most important process of any organization in analysing the candidates to bring in resourceful talents. The study is made to analyse the recruitment and selection process, the employees’ satisfaction level with the current recruitment practices and also to identify the impact of employment and selection process on organization presentation. To arrive at the required data for analysis, both primary and secondary data collection methods were employed. From the study, it is understood that utilisation of fair, valid and reliable recruitment and selection process helps in improving the business by the point view of market by helping in decision-making in critical situations. To know the employee satisfaction levels, recruitment and Selection process can be used to understand the requirement of motivational and encouraging activities that are conducted to improve the skills, experience and information of the employer and employee. Identifying the strengths and weakness of the employee is very essential for organizational growth which leads to bring about changes inside the business with regard to a variety of factors including working conditions, the attitudes and behaviours of employers who execute their jobs well, productivity-boosting strategies, the usage of cutting-edge technology etc.
{"title":"A Study on Recruitment and Selection process in the Manufacturing Industry","authors":"Chaya J. Swamy, Kethana Arasu, M. Pradeep","doi":"10.25303/1602aim0109","DOIUrl":"https://doi.org/10.25303/1602aim0109","url":null,"abstract":"Recruitment and selection are the most important process of any organization in analysing the candidates to bring in resourceful talents. The study is made to analyse the recruitment and selection process, the employees’ satisfaction level with the current recruitment practices and also to identify the impact of employment and selection process on organization presentation. To arrive at the required data for analysis, both primary and secondary data collection methods were employed. From the study, it is understood that utilisation of fair, valid and reliable recruitment and selection process helps in improving the business by the point view of market by helping in decision-making in critical situations. To know the employee satisfaction levels, recruitment and Selection process can be used to understand the requirement of motivational and encouraging activities that are conducted to improve the skills, experience and information of the employer and employee. Identifying the strengths and weakness of the employee is very essential for organizational growth which leads to bring about changes inside the business with regard to a variety of factors including working conditions, the attitudes and behaviours of employers who execute their jobs well, productivity-boosting strategies, the usage of cutting-edge technology etc.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74597158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
India's youth demographic makes up one-fifth of the world's population and empowering them is crucial for the country's future success. To become a US $5 trillion economy, the Government needs to develop tailor-made strategies, policies and schemes that maximize the potential of the youth population. The Skill India Mission is one such scheme that aims to empower youth by providing necessary training and skills for the job market. However, the scheme's implementation has been plagued by various challenges such as inadequate infrastructure, low awareness, lack of quality trainers and limited industry participation. This study aims to determine the need for the Skill India Mission scheme, identify the impediments in its implementation and to propose resolutions to the problems. The study concludes that the Skill India Mission is necessary for India's economic growth and social development. Government can address the challenges of implementing the scheme by improving infrastructure, increasing industry participation and enhancing awareness.
{"title":"The Agenda for Youth Empowerment through Market-Relevant Skill Training: A case study of Skill India Mission","authors":"vageesh sharma","doi":"10.25303/1602aim010013","DOIUrl":"https://doi.org/10.25303/1602aim010013","url":null,"abstract":"India's youth demographic makes up one-fifth of the world's population and empowering them is crucial for the country's future success. To become a US $5 trillion economy, the Government needs to develop tailor-made strategies, policies and schemes that maximize the potential of the youth population. The Skill India Mission is one such scheme that aims to empower youth by providing necessary training and skills for the job market. However, the scheme's implementation has been plagued by various challenges such as inadequate infrastructure, low awareness, lack of quality trainers and limited industry participation. This study aims to determine the need for the Skill India Mission scheme, identify the impediments in its implementation and to propose resolutions to the problems. The study concludes that the Skill India Mission is necessary for India's economic growth and social development. Government can address the challenges of implementing the scheme by improving infrastructure, increasing industry participation and enhancing awareness.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88781589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-11DOI: 10.1108/jamr-01-2023-0007
Farbod Zahedi, H. Kia, M. Khalilzadeh
PurposeThe vehicle routing problem (VRP) has been widely investigated during last decades to reduce logistics costs and improve service level. In addition, many researchers have realized the importance of green logistic system design in decreasing environmental pollution and achieving sustainable development.Design/methodology/approachIn this paper, a bi-objective mathematical model is developed for the capacitated electric VRP with time windows and partial recharge. The first objective deals with minimizing the route to reduce the costs related to vehicles, while the second objective minimizes the delay of arrival vehicles to depots based on the soft time window. A hybrid metaheuristic algorithm including non-dominated sorting genetic algorithm (NSGA-II) and teaching-learning-based optimization (TLBO), called NSGA-II-TLBO, is proposed for solving this problem. The Taguchi method is used to adjust the parameters of algorithms. Several numerical instances in different sizes are solved and the performance of the proposed algorithm is compared to NSGA-II and multi-objective simulated annealing (MOSA) as two well-known algorithms based on the five indexes including time, mean ideal distance (MID), diversity, spacing and the Rate of Achievement to two objectives Simultaneously (RAS).FindingsThe results demonstrate that the hybrid algorithm outperforms terms of spacing and RAS indexes with p-value <0.04. However, MOSA and NSGA-II algorithms have better performance in terms of central processing unit (CPU) time index. In addition, there is no meaningful difference between the algorithms in terms of MID and diversity indexes. Finally, the impacts of changing the parameters of the model on the results are investigated by performing sensitivity analysis.Originality/valueIn this research, an environment-friendly transportation system is addressed by presenting a bi-objective mathematical model for the routing problem of an electric capacitated vehicle considering the time windows with the possibility of recharging.
{"title":"A hybrid metaheuristic approach for solving a bi-objective capacitated electric vehicle routing problem with time windows and partial recharging","authors":"Farbod Zahedi, H. Kia, M. Khalilzadeh","doi":"10.1108/jamr-01-2023-0007","DOIUrl":"https://doi.org/10.1108/jamr-01-2023-0007","url":null,"abstract":"PurposeThe vehicle routing problem (VRP) has been widely investigated during last decades to reduce logistics costs and improve service level. In addition, many researchers have realized the importance of green logistic system design in decreasing environmental pollution and achieving sustainable development.Design/methodology/approachIn this paper, a bi-objective mathematical model is developed for the capacitated electric VRP with time windows and partial recharge. The first objective deals with minimizing the route to reduce the costs related to vehicles, while the second objective minimizes the delay of arrival vehicles to depots based on the soft time window. A hybrid metaheuristic algorithm including non-dominated sorting genetic algorithm (NSGA-II) and teaching-learning-based optimization (TLBO), called NSGA-II-TLBO, is proposed for solving this problem. The Taguchi method is used to adjust the parameters of algorithms. Several numerical instances in different sizes are solved and the performance of the proposed algorithm is compared to NSGA-II and multi-objective simulated annealing (MOSA) as two well-known algorithms based on the five indexes including time, mean ideal distance (MID), diversity, spacing and the Rate of Achievement to two objectives Simultaneously (RAS).FindingsThe results demonstrate that the hybrid algorithm outperforms terms of spacing and RAS indexes with p-value <0.04. However, MOSA and NSGA-II algorithms have better performance in terms of central processing unit (CPU) time index. In addition, there is no meaningful difference between the algorithms in terms of MID and diversity indexes. Finally, the impacts of changing the parameters of the model on the results are investigated by performing sensitivity analysis.Originality/valueIn this research, an environment-friendly transportation system is addressed by presenting a bi-objective mathematical model for the routing problem of an electric capacitated vehicle considering the time windows with the possibility of recharging.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48415306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-05DOI: 10.1108/jamr-08-2022-0174
S. S. Panpatil, Swapnil Lahane, R. Kant
Purpose This research aims to explore the various green supply chain management (GSCM) performance measures and develop the efficient performance measurement framework for evaluation of influence of GSCM adoption on organizational performance.Design/methodology/approach This research proposes a hybrid framework of Pythagorean fuzzy analytic hierarchy process and Pythagorean fuzzy weighted aggregated sum product assessment technique. The usefulness of proposed framework is validated using empirical case example of Indian manufacturing organization.Findings The finding reveals that the overall performance of case organization is 67.03% based on define set of performance measures. Further, the proposed framework has been validated with other three Indian automobile manufacturing organizations. The results obtained were confirmed with selected empirical case company. The proposed hybrid framework provides the effective path to measure and benchmark the impact of each performance measures on system performance.Research limitations/implications This research is limited to automobile sector of India; hence the results obtained in this study may not be comprehensibly used to other sectors due to different product and process fields.Originality/valueThis research aids the industrial practitioners to effectively implement the green supply chain management (GSCM) and helps them to boost the overall performance of business organizations in three dimensions of sustainability.
{"title":"Performance measurement framework of green supply chain implementation in the context of Indian manufacturing organizations","authors":"S. S. Panpatil, Swapnil Lahane, R. Kant","doi":"10.1108/jamr-08-2022-0174","DOIUrl":"https://doi.org/10.1108/jamr-08-2022-0174","url":null,"abstract":"Purpose This research aims to explore the various green supply chain management (GSCM) performance measures and develop the efficient performance measurement framework for evaluation of influence of GSCM adoption on organizational performance.Design/methodology/approach This research proposes a hybrid framework of Pythagorean fuzzy analytic hierarchy process and Pythagorean fuzzy weighted aggregated sum product assessment technique. The usefulness of proposed framework is validated using empirical case example of Indian manufacturing organization.Findings The finding reveals that the overall performance of case organization is 67.03% based on define set of performance measures. Further, the proposed framework has been validated with other three Indian automobile manufacturing organizations. The results obtained were confirmed with selected empirical case company. The proposed hybrid framework provides the effective path to measure and benchmark the impact of each performance measures on system performance.Research limitations/implications This research is limited to automobile sector of India; hence the results obtained in this study may not be comprehensibly used to other sectors due to different product and process fields.Originality/valueThis research aids the industrial practitioners to effectively implement the green supply chain management (GSCM) and helps them to boost the overall performance of business organizations in three dimensions of sustainability.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47555847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-27DOI: 10.1108/jamr-05-2022-0100
Alimohammad Lotfi, Mandana Shakouri, Seyed Reza Abazari, A. Aghsami, M. Rabbani
PurposeThis paper deals with the combined management and design of a sustainable pharmaceutical supply chain network with considering recycling.Design/methodology/approachThis paper first utilizes the analytical hierarchy process to select and rank green manufacturers. Second, the authors proposed a multi-objective nonlinear mathematical model to design a sustainable pharmaceutical supply chain network. The proposed model has been linearized and solved using the LP-metric method using GAMS software.FindingsA real case study has been conducted in Iran. The results show that environmental and social issues can be improved while minimizing total costs.Originality/valueGiven the criticality and importance of drugs in human health and the importance of recycling in today's world, proper management and design of a sustainable drug supply chain are necessary. This study pays special attention to environmental issues by utilizing multi-criteria decision approaches and customer satisfaction.
{"title":"A multi-objective optimization for a closed-loop sustainable pharmaceutical supply chain network design: a case study","authors":"Alimohammad Lotfi, Mandana Shakouri, Seyed Reza Abazari, A. Aghsami, M. Rabbani","doi":"10.1108/jamr-05-2022-0100","DOIUrl":"https://doi.org/10.1108/jamr-05-2022-0100","url":null,"abstract":"PurposeThis paper deals with the combined management and design of a sustainable pharmaceutical supply chain network with considering recycling.Design/methodology/approachThis paper first utilizes the analytical hierarchy process to select and rank green manufacturers. Second, the authors proposed a multi-objective nonlinear mathematical model to design a sustainable pharmaceutical supply chain network. The proposed model has been linearized and solved using the LP-metric method using GAMS software.FindingsA real case study has been conducted in Iran. The results show that environmental and social issues can be improved while minimizing total costs.Originality/valueGiven the criticality and importance of drugs in human health and the importance of recycling in today's world, proper management and design of a sustainable drug supply chain are necessary. This study pays special attention to environmental issues by utilizing multi-criteria decision approaches and customer satisfaction.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42380684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-26DOI: 10.1108/jamr-07-2022-0151
Ankit Kalia, Suveera Gill
PurposeThe world economy has experienced several economic downturns, and each phase emphasised that no industry is immune to inappropriate risk-management practices. Against the backdrop of the recent COVID-19 pandemic, which had far more effects than a financial crisis, the existing paper reviewed the state of current research in the realm of corporate governance and risk-management practices.Design/methodology/approachThis study rigorously followed a systematic approach in identifying, selecting and critically synthesising the existing literature on corporate governance and risk management. The review was carried out on the Web of Science and Scopus database until December 31, 2022. In total, 72 research works were examined and reviewed.FindingsThis systematic literature review showed that companies with strong governance mechanisms are less exposed to corporate risks. Several attributes, such as higher institutional ownership stakes, concentrated family ownership structures, lower CEO compensation and duality, higher presence of females in the management, better board dynamics in terms of independent boards and gender diversity are all strong mechanisms for mitigating risk. Additionally, socially responsible companies are better positioned to mitigate corporate risks. Furthermore, several themes emphasising the governance risk link have been identified to understand this domain further.Originality/valueBy analysing and synthesising existing corporate governance and risk-management themes, this study ascertained various research gaps that can be addressed in future studies. Furthermore, drawing on this paper's essential cues, researchers can significantly differentiate their work from existing ones in the field.
世界经济经历了几次经济衰退，每个阶段都强调，没有哪个行业能够免受不适当的风险管理措施的影响。在最近的COVID-19大流行的背景下，其影响远远超过金融危机，现有文件审查了公司治理和风险管理实践领域的当前研究状况。设计/方法/方法本研究严格遵循一种系统的方法来识别、选择和批判性地综合现有的关于公司治理和风险管理的文献。本次评审在Web of Science和Scopus数据库上进行，截止到2022年12月31日。共审查和审查了72项研究工作。通过系统的文献综述，我们发现治理机制强的公司面临的公司风险更小。较高的机构股权、集中的家族股权结构、较低的首席执行官薪酬和双重性、管理层中女性比例较高、独立董事会中更好的董事会动态以及性别多样性等因素，都是降低风险的有力机制。此外，有社会责任的公司更有能力降低企业风险。此外，已经确定了几个强调治理风险联系的主题，以进一步理解该领域。原创性/价值通过分析和综合现有的公司治理和风险管理主题，本研究确定了可以在未来研究中解决的各种研究空白。此外，利用本文的基本线索，研究人员可以显著地将他们的工作与该领域现有的工作区分开来。
{"title":"Corporate governance and risk management: a systematic review and synthesis for future research","authors":"Ankit Kalia, Suveera Gill","doi":"10.1108/jamr-07-2022-0151","DOIUrl":"https://doi.org/10.1108/jamr-07-2022-0151","url":null,"abstract":"PurposeThe world economy has experienced several economic downturns, and each phase emphasised that no industry is immune to inappropriate risk-management practices. Against the backdrop of the recent COVID-19 pandemic, which had far more effects than a financial crisis, the existing paper reviewed the state of current research in the realm of corporate governance and risk-management practices.Design/methodology/approachThis study rigorously followed a systematic approach in identifying, selecting and critically synthesising the existing literature on corporate governance and risk management. The review was carried out on the Web of Science and Scopus database until December 31, 2022. In total, 72 research works were examined and reviewed.FindingsThis systematic literature review showed that companies with strong governance mechanisms are less exposed to corporate risks. Several attributes, such as higher institutional ownership stakes, concentrated family ownership structures, lower CEO compensation and duality, higher presence of females in the management, better board dynamics in terms of independent boards and gender diversity are all strong mechanisms for mitigating risk. Additionally, socially responsible companies are better positioned to mitigate corporate risks. Furthermore, several themes emphasising the governance risk link have been identified to understand this domain further.Originality/valueBy analysing and synthesising existing corporate governance and risk-management themes, this study ascertained various research gaps that can be addressed in future studies. Furthermore, drawing on this paper's essential cues, researchers can significantly differentiate their work from existing ones in the field.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45070495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-26DOI: 10.1108/jamr-11-2022-0225
Kim-Lim Tan, Adriel K. S. Sim, Steffi Sze-Nee Yap, Sanhakot Vithayaporn, A. Rachmawati
PurposeMeaningful work is gaining importance in the core domains of human resources research. However, there is confusion regarding what constitutes meaningful work and its determinants and outcomes. Earlier studies have conflated conceptual and empirical arguments. Hence, researchers lack clear insights into factors related to employees' experiences of meaningfulness. This study aims to discuss the aforementioned issue.Design/methodology/approachThe authorsconducted a systematic literature review (SLR) of 88 studies (2000–2020) meeting relevant criteria to identify dominant trends and significant gaps in the authors’ understanding of meaningful work.FindingsThis review identified six aspects to conceptualize meaningful work. At the same time, the authors highlighted the dominant theory and the instrument used to explain and measure meaningful work. Based on the same, the authors identified different groups of individual and organizational-level determinants and outcomes of finding meaning in work. The analysis also indicates that the comprehension of meaningful work was restricted because most data were obtained from the USA, Europe and certain regions of Asia. During this assessment, the authors observed that several studies emphasized individual-level effects, self-reporting and cross-sectional studies, which restricted the ability to make causal inferences.Originality/valueThis study extends earlier works where the authors stock-take existing research for the past 20 years and build on past trajectories to enrich the authors’ understanding of meaningful work. Unlike earlier works that focused on a specific domain, such as human resource development, this work differentiates by taking an integrated framework-based approach leveraging the antecedents, decisions and outcomes (ADO) and the theories, contexts and method (TCM) framework to consolidate and advance knowledge in the field thoroughly.
{"title":"A systematic review of meaningful work unifying 20 years of theoretical and substantive contributions (2000–2020)","authors":"Kim-Lim Tan, Adriel K. S. Sim, Steffi Sze-Nee Yap, Sanhakot Vithayaporn, A. Rachmawati","doi":"10.1108/jamr-11-2022-0225","DOIUrl":"https://doi.org/10.1108/jamr-11-2022-0225","url":null,"abstract":"PurposeMeaningful work is gaining importance in the core domains of human resources research. However, there is confusion regarding what constitutes meaningful work and its determinants and outcomes. Earlier studies have conflated conceptual and empirical arguments. Hence, researchers lack clear insights into factors related to employees' experiences of meaningfulness. This study aims to discuss the aforementioned issue.Design/methodology/approachThe authorsconducted a systematic literature review (SLR) of 88 studies (2000–2020) meeting relevant criteria to identify dominant trends and significant gaps in the authors’ understanding of meaningful work.FindingsThis review identified six aspects to conceptualize meaningful work. At the same time, the authors highlighted the dominant theory and the instrument used to explain and measure meaningful work. Based on the same, the authors identified different groups of individual and organizational-level determinants and outcomes of finding meaning in work. The analysis also indicates that the comprehension of meaningful work was restricted because most data were obtained from the USA, Europe and certain regions of Asia. During this assessment, the authors observed that several studies emphasized individual-level effects, self-reporting and cross-sectional studies, which restricted the ability to make causal inferences.Originality/valueThis study extends earlier works where the authors stock-take existing research for the past 20 years and build on past trajectories to enrich the authors’ understanding of meaningful work. Unlike earlier works that focused on a specific domain, such as human resource development, this work differentiates by taking an integrated framework-based approach leveraging the antecedents, decisions and outcomes (ADO) and the theories, contexts and method (TCM) framework to consolidate and advance knowledge in the field thoroughly.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41322217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：