Pub Date : 2023-06-19DOI: 10.1108/jamr-02-2023-0051
Nidhi Singh, Surender Kumar
PurposeThe purpose of this study is to conduct a systematic review of the literature of the studies that have examined several theoretical perspectives on corporate social performance (CSP) and identify possible future research questions based on various theoretical viewpoints.Design/methodology/approachThe study used systematic literature review analysis on a sample of 667 studies published in top A* and A category journals listed in the Australian Business Dean Council list. The present study derived articles between 1975 and 2023 from the SCOPUS database by using relevant keywords to identify research activities in CSP.FindingsThe findings suggest that many studies on CSP have been undertaken globally. But there is a lack of studies on various theoretical perspectives, including peer uncertainty evaluation, buyer–supplier sustainability links, the role of primary stakeholders (especially consumers, employees, suppliers and secondary stakeholders), the use of technology, firm-related heterogeneities, and the role of demographic and socio-economic factors. Future research areas are recommended.Research limitations/implicationsThe study investigates existing research gaps to identify possible future research questions and frameworks that can be explored to advance the research on CSP.Practical implicationsThe research also provides implications for firms in terms of understanding diverse theoretical perspectives to develop strategies to improve a firm’s social performance.Originality/value The findings are derived from a systematic review of the literature in top-category studies that examined existing theories and frameworks in the CSP domain. This highlights the importance of other understudied complementary theories, such as complexity theory, spillover theory, critical mass theory, slack theory and so on, and related variables that can improve a firm’s social performance. Evaluation of existing theoretical perspectives is not included in other review studies.
本研究的目的是对研究企业社会绩效(CSP)的几种理论观点的文献进行系统回顾，并根据各种理论观点确定未来可能的研究问题。设计/方法/方法本研究对667篇发表在澳大利亚商学院院长委员会(Australian Business Dean Council) a *和a类顶级期刊上的研究进行了系统的文献回顾分析。本研究从SCOPUS数据库中提取1975 - 2023年间的文章，使用相关关键词识别CSP的研究活动。研究结果表明，全球已经开展了许多关于CSP的研究。但缺乏对不同理论视角的研究，包括同伴不确定性评价、买方-供应商可持续性联系、主要利益相关者(特别是消费者、雇员、供应商和次要利益相关者)的作用、技术使用、企业相关异质性以及人口和社会经济因素的作用。建议未来的研究方向。研究局限/启示本研究调查了现有的研究差距，以确定未来可能的研究问题和框架，可以探索以推进CSP的研究。实践启示本研究也为企业理解不同的理论视角来制定提高企业社会绩效的战略提供了启示。原创性/价值这些发现来源于对顶级研究文献的系统回顾，这些研究考察了CSP领域现有的理论和框架。这凸显了其他尚未得到充分研究的互补理论的重要性，如复杂性理论、溢出理论、临界质量理论、松弛理论等，以及可以提高企业社会绩效的相关变量。对现有理论观点的评价不包括在其他综述研究中。
{"title":"Evolution and assessment of corporate social performance through the lens of top category journals: a theoretical structural analysis","authors":"Nidhi Singh, Surender Kumar","doi":"10.1108/jamr-02-2023-0051","DOIUrl":"https://doi.org/10.1108/jamr-02-2023-0051","url":null,"abstract":"PurposeThe purpose of this study is to conduct a systematic review of the literature of the studies that have examined several theoretical perspectives on corporate social performance (CSP) and identify possible future research questions based on various theoretical viewpoints.Design/methodology/approachThe study used systematic literature review analysis on a sample of 667 studies published in top A* and A category journals listed in the Australian Business Dean Council list. The present study derived articles between 1975 and 2023 from the SCOPUS database by using relevant keywords to identify research activities in CSP.FindingsThe findings suggest that many studies on CSP have been undertaken globally. But there is a lack of studies on various theoretical perspectives, including peer uncertainty evaluation, buyer–supplier sustainability links, the role of primary stakeholders (especially consumers, employees, suppliers and secondary stakeholders), the use of technology, firm-related heterogeneities, and the role of demographic and socio-economic factors. Future research areas are recommended.Research limitations/implicationsThe study investigates existing research gaps to identify possible future research questions and frameworks that can be explored to advance the research on CSP.Practical implicationsThe research also provides implications for firms in terms of understanding diverse theoretical perspectives to develop strategies to improve a firm’s social performance.Originality/value The findings are derived from a systematic review of the literature in top-category studies that examined existing theories and frameworks in the CSP domain. This highlights the importance of other understudied complementary theories, such as complexity theory, spillover theory, critical mass theory, slack theory and so on, and related variables that can improve a firm’s social performance. Evaluation of existing theoretical perspectives is not included in other review studies.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43829553","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 : 2023-06-14DOI: 10.1108/jamr-03-2023-0078
A. Bagherian, M. Gershon, Sunil Kumar
PurposeThe effectiveness of Six Sigma programs has varied across different industries and organizations, and leadership styles have been identified as a critical success factor for the installation of Six Sigma initiatives. Therefore, this study aims to investigate the specific elements of leadership styles that are linked with the successful deployment of Six Sigma programs in the automobile industry.Design/methodology/approachTo conduct the study, the researchers utilized a Likert scale questionnaire with a rating system of 1–7 and a simple random sampling method. The survey was distributed to 2,325 potential participants, with 573 responses received, mostly from Germany, the United Kingdom and Sweden. Out of those responses, 260 completed questionnaires were received. The study utilized a mixed-methods research design and exploratory research approaches to investigate the implication of leadership style on the success of Six Sigma implementation. The research employed several analysis techniques, including Structural Equation Modeling (SEM), exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and Survey methods.FindingsThrough various SEM methods, such as EFA and CFA, the study revealed two vital leadership elements: (1) the long-term success of Six Sigma depends on leadership’s support and recognition of it as an improvement strategy and (2) leadership must commit to the organization’s suppliers to ensure quality and the provision of defect-free products.Practical implicationsBy incorporating the identified key elements of leadership into their strategies, organizations and researchers can ensure the sustainable implementation of Six Sigma.Originality/valueThis research presents a distinct contribution to the evaluation of leadership style components within the European automotive sector, utilizing a mixed-methods research design and incorporating a variety of descriptive statistics.
{"title":"Leadership style as an antecedent to effective Six Sigma implementation","authors":"A. Bagherian, M. Gershon, Sunil Kumar","doi":"10.1108/jamr-03-2023-0078","DOIUrl":"https://doi.org/10.1108/jamr-03-2023-0078","url":null,"abstract":"PurposeThe effectiveness of Six Sigma programs has varied across different industries and organizations, and leadership styles have been identified as a critical success factor for the installation of Six Sigma initiatives. Therefore, this study aims to investigate the specific elements of leadership styles that are linked with the successful deployment of Six Sigma programs in the automobile industry.Design/methodology/approachTo conduct the study, the researchers utilized a Likert scale questionnaire with a rating system of 1–7 and a simple random sampling method. The survey was distributed to 2,325 potential participants, with 573 responses received, mostly from Germany, the United Kingdom and Sweden. Out of those responses, 260 completed questionnaires were received. The study utilized a mixed-methods research design and exploratory research approaches to investigate the implication of leadership style on the success of Six Sigma implementation. The research employed several analysis techniques, including Structural Equation Modeling (SEM), exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and Survey methods.FindingsThrough various SEM methods, such as EFA and CFA, the study revealed two vital leadership elements: (1) the long-term success of Six Sigma depends on leadership’s support and recognition of it as an improvement strategy and (2) leadership must commit to the organization’s suppliers to ensure quality and the provision of defect-free products.Practical implicationsBy incorporating the identified key elements of leadership into their strategies, organizations and researchers can ensure the sustainable implementation of Six Sigma.Originality/valueThis research presents a distinct contribution to the evaluation of leadership style components within the European automotive sector, utilizing a mixed-methods research design and incorporating a variety of descriptive statistics.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43345052","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 : 2023-06-07DOI: 10.1108/jamr-02-2023-0032
Mahima Mathur, Tamanna Kapoor, S. Swami
PurposeThis study proposes to understand the conditions favorable for readiness for organizational change. The analysis helps in proposing managerial interventions that would be useful for change management in an organization.Design/methodology/approachThe study employs an empirical methodology to investigate the effect of individual and organizational factors on readiness for organizational change. The study has used descriptive research design. Bivariate linear regression is used to test the hypotheses, and multiple regression is used to identify the pertinent factor that affect individual's readiness for organizational change. Thereby, a causal relationship model is proposed, using few pertinent factors which are tested using the structured equation modeling (SEM) technique.FindingsFirst, each of the factors independently has a significant effect on readiness for organizational change. Second, the prior experience of change, commitment towards organization and participation in decision-making are the pertinent factors that affect readiness for organizational change. Lastly, commitment towards organization partially mediates the relation between participation in decision-making and readiness for organizational change.Practical implicationsThe analysis helps in proposing managerial interventions that would be useful for change management in an organization. It investigates how individual and organizational characteristics influence employees' readiness for organizational change, causing them to adopt the change process.Originality/valueTo the best of the authors’ knowledge, this is one of the first studies that investigates the pertinent individual factors and the organizational factors that affect readiness for organizational change in the context of an emerging economy, India.
{"title":"Readiness for organizational change: the effects of individual and organizational factors","authors":"Mahima Mathur, Tamanna Kapoor, S. Swami","doi":"10.1108/jamr-02-2023-0032","DOIUrl":"https://doi.org/10.1108/jamr-02-2023-0032","url":null,"abstract":"PurposeThis study proposes to understand the conditions favorable for readiness for organizational change. The analysis helps in proposing managerial interventions that would be useful for change management in an organization.Design/methodology/approachThe study employs an empirical methodology to investigate the effect of individual and organizational factors on readiness for organizational change. The study has used descriptive research design. Bivariate linear regression is used to test the hypotheses, and multiple regression is used to identify the pertinent factor that affect individual's readiness for organizational change. Thereby, a causal relationship model is proposed, using few pertinent factors which are tested using the structured equation modeling (SEM) technique.FindingsFirst, each of the factors independently has a significant effect on readiness for organizational change. Second, the prior experience of change, commitment towards organization and participation in decision-making are the pertinent factors that affect readiness for organizational change. Lastly, commitment towards organization partially mediates the relation between participation in decision-making and readiness for organizational change.Practical implicationsThe analysis helps in proposing managerial interventions that would be useful for change management in an organization. It investigates how individual and organizational characteristics influence employees' readiness for organizational change, causing them to adopt the change process.Originality/valueTo the best of the authors’ knowledge, this is one of the first studies that investigates the pertinent individual factors and the organizational factors that affect readiness for organizational change in the context of an emerging economy, India.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45903329","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 : 2023-06-07DOI: 10.1108/jamr-02-2023-0045
Debadyuti Das, Aditya Singh
PurposeThe present work seeks to determine the optimal delivery schedule of equipment at a project site in the backdrop of limited storage space, at a minimum cost, and without disturbing the overall project schedule. In addition, the optimized delivery schedule helps in minimizing the fluctuating requirements of space at the project site across the entire project lifespan.Design/methodology/approachThe study is carried out at a Steel plant operating in a constrained space but undergoing a production capacity expansion. The problem motivated us to explore the possibility of postponing the delivery dates of certain equipment closer to the erection dates without compromising on the project schedule. Given the versatility of linear programming models in dealing with such schedule optimization problems, the authors formulated the above problem as a Zero-One Integer Linear Programming problem.FindingsThe model is implemented for all the new equipment arriving for two major units – the Hot Strip Mill (HSM) and the Blast Furnace (BF). It generates an optimized delivery schedule by delaying the delivery of some equipment by a certain number of periods, without compromising the overall project schedule and at a minimum storage cost. The average space utilization increases by 25.85 and 14.79% in HSM and BF units respectively. The fluctuations in space requirements are reduced substantially in both units.Originality/valueThe study shows a timeline in the form of a Gantt chart for the delivery of equipment, storage of equipment across different periods, and the number of periods for which the delivery of certain equipment needs to be postponed. The study uses linearly increasing storage costs with the increase in the number of periods for storage of the equipment in the temporary shed.HighlightsDetermined the optimal delivery schedule of the equipment in a project environment in the backdrop of limited storage space in the project site.Formulated the above problem as a Zero-One Integer Linear Programming (ILP) problem.The average space utilization has increased by 25.85 and 14.79% in HSM and BF units respectively.The optimized delivery schedule helps in reducing the fluctuations in space requirements substantially across the entire lifespan of the project.The timeline of delivery of equipment, storage of equipment across different periods and periods of postponement of the equipment are shown in the form of a Gantt Chart.
{"title":"Optimizing the delivery schedule of equipment in a project environment considering resource leveling of storage space and its constraint: a case study","authors":"Debadyuti Das, Aditya Singh","doi":"10.1108/jamr-02-2023-0045","DOIUrl":"https://doi.org/10.1108/jamr-02-2023-0045","url":null,"abstract":"PurposeThe present work seeks to determine the optimal delivery schedule of equipment at a project site in the backdrop of limited storage space, at a minimum cost, and without disturbing the overall project schedule. In addition, the optimized delivery schedule helps in minimizing the fluctuating requirements of space at the project site across the entire project lifespan.Design/methodology/approachThe study is carried out at a Steel plant operating in a constrained space but undergoing a production capacity expansion. The problem motivated us to explore the possibility of postponing the delivery dates of certain equipment closer to the erection dates without compromising on the project schedule. Given the versatility of linear programming models in dealing with such schedule optimization problems, the authors formulated the above problem as a Zero-One Integer Linear Programming problem.FindingsThe model is implemented for all the new equipment arriving for two major units – the Hot Strip Mill (HSM) and the Blast Furnace (BF). It generates an optimized delivery schedule by delaying the delivery of some equipment by a certain number of periods, without compromising the overall project schedule and at a minimum storage cost. The average space utilization increases by 25.85 and 14.79% in HSM and BF units respectively. The fluctuations in space requirements are reduced substantially in both units.Originality/valueThe study shows a timeline in the form of a Gantt chart for the delivery of equipment, storage of equipment across different periods, and the number of periods for which the delivery of certain equipment needs to be postponed. The study uses linearly increasing storage costs with the increase in the number of periods for storage of the equipment in the temporary shed.HighlightsDetermined the optimal delivery schedule of the equipment in a project environment in the backdrop of limited storage space in the project site.Formulated the above problem as a Zero-One Integer Linear Programming (ILP) problem.The average space utilization has increased by 25.85 and 14.79% in HSM and BF units respectively.The optimized delivery schedule helps in reducing the fluctuations in space requirements substantially across the entire lifespan of the project.The timeline of delivery of equipment, storage of equipment across different periods and periods of postponement of the equipment are shown in the form of a Gantt Chart.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46100738","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-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":" ","pages":""},"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":" ","pages":""},"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":" ","pages":""},"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":"31 1","pages":""},"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":"14 1","pages":""},"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":" ","pages":""},"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}
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