Pub Date : 2022-04-05DOI: 10.1108/jamr-08-2021-0293
Mansour Abedian, Atefeh Amindoust, J. Jouzdani, Maryam Hejazi
PurposeThe 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.Design/methodology/approachAfter 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.FindingsThe 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.Originality/valueThe 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.
{"title":"Development of balanced scorecard for manufacturing using interpretive structural modeling and game theory","authors":"Mansour Abedian, Atefeh Amindoust, J. Jouzdani, Maryam Hejazi","doi":"10.1108/jamr-08-2021-0293","DOIUrl":"https://doi.org/10.1108/jamr-08-2021-0293","url":null,"abstract":"PurposeThe 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.Design/methodology/approachAfter 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.FindingsThe 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.Originality/valueThe 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.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42137395","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 : 2022-03-17DOI: 10.1108/jamr-06-2021-0196
Kedwadee Sombultawee, Woraphon Wattanatorn
PurposeThis 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.Design/methodology/approachThe 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.FindingsThe 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.Originality/valueThese 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.
{"title":"The impact of trust on purchase intention through omnichannel retailing","authors":"Kedwadee Sombultawee, Woraphon Wattanatorn","doi":"10.1108/jamr-06-2021-0196","DOIUrl":"https://doi.org/10.1108/jamr-06-2021-0196","url":null,"abstract":"PurposeThis 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.Design/methodology/approachThe 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.FindingsThe 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.Originality/valueThese 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.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42068050","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 : 2022-03-14DOI: 10.1108/jamr-05-2021-0182
P. Gupta, Seema Sharma
PurposeThis 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.Design/methodology/approachThe 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.FindingsThe 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.Originality/valueThis 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.
{"title":"Corporate governance determinants of asset quality in an emerging economy: evidence from Indian banks","authors":"P. Gupta, Seema Sharma","doi":"10.1108/jamr-05-2021-0182","DOIUrl":"https://doi.org/10.1108/jamr-05-2021-0182","url":null,"abstract":"PurposeThis 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.Design/methodology/approachThe 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.FindingsThe 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.Originality/valueThis 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.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45417148","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 : 2022-02-04DOI: 10.1108/jamr-06-2021-0193
A. Sutrisno, Prof Vikas Kumar
PurposeThe 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.Design/methodology/approachThis 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.FindingsThe result of this study reveals some critical supply chain sustainability risks affecting the sustainability of enterprises under study.Research limitations/implicationsThe 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.Practical implicationsThe 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.Originality/valueScientific 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.
{"title":"Supply chain sustainability risk decision support model using integrated Preference Selection Index (PSI) method and prospect theory","authors":"A. Sutrisno, Prof Vikas Kumar","doi":"10.1108/jamr-06-2021-0193","DOIUrl":"https://doi.org/10.1108/jamr-06-2021-0193","url":null,"abstract":"PurposeThe 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.Design/methodology/approachThis 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.FindingsThe result of this study reveals some critical supply chain sustainability risks affecting the sustainability of enterprises under study.Research limitations/implicationsThe 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.Practical implicationsThe 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.Originality/valueScientific 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.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45972686","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 : 2022-01-31DOI: 10.1108/jamr-09-2021-0322
Satbir Singh, V. Agrawal, R. P. Mohanty
PurposeThe 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.Design/methodology/approachAfter 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.FindingsTop 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.Practical implicationsThe 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.Originality/valueTo 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.
{"title":"Multi-criteria decision analysis of significant enablers for a competitive supply chain","authors":"Satbir Singh, V. Agrawal, R. P. Mohanty","doi":"10.1108/jamr-09-2021-0322","DOIUrl":"https://doi.org/10.1108/jamr-09-2021-0322","url":null,"abstract":"PurposeThe 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.Design/methodology/approachAfter 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.FindingsTop 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.Practical implicationsThe 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.Originality/valueTo 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.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42218115","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 : 2022-01-31DOI: 10.1108/jamr-08-2021-0273
Rashmiranjan Panigrahi, P. Mishra, Alaka Samantaray, D. Jena
PurposeThe 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.Design/methodology/approachThe 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).FindingsThe 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.Practical implicationsThe 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.Social implicationsEffective and efficient use of inventory will be helpful in reducing the overall cost of production and reduced costs to customers.Originality/valueCompanies require resources to attain a long-term competitive edge. Also, as a consequence, the research is compatible with resource-based view (RBV) theory.
{"title":"Management of inventory for firms’ efficiency – a study on steel manufacturing industry","authors":"Rashmiranjan Panigrahi, P. Mishra, Alaka Samantaray, D. Jena","doi":"10.1108/jamr-08-2021-0273","DOIUrl":"https://doi.org/10.1108/jamr-08-2021-0273","url":null,"abstract":"PurposeThe 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.Design/methodology/approachThe 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).FindingsThe 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.Practical implicationsThe 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.Social implicationsEffective and efficient use of inventory will be helpful in reducing the overall cost of production and reduced costs to customers.Originality/valueCompanies require resources to attain a long-term competitive edge. Also, as a consequence, the research is compatible with resource-based view (RBV) theory.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":"1 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62057023","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 : 2022-01-28DOI: 10.1108/jamr-07-2021-0241
S. S. Panpatil, R. Kant
PurposeThis 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.Design/methodology/approachThis 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.FindingsAn 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.Research limitations/implicationsISM 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.Practical implicationsThis 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.Originality/valueIn 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.
{"title":"Green supply chain management implementation: modeling the green supply chain practices (GSCPs)","authors":"S. S. Panpatil, R. Kant","doi":"10.1108/jamr-07-2021-0241","DOIUrl":"https://doi.org/10.1108/jamr-07-2021-0241","url":null,"abstract":"PurposeThis 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.Design/methodology/approachThis 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.FindingsAn 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.Research limitations/implicationsISM 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.Practical implicationsThis 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.Originality/valueIn 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.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46415249","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 : 2022-01-25DOI: 10.1108/jamr-03-2021-0103
Thi Lam Ho
PurposeThe 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.Design/methodology/approachThis 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.FindingsThe 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.Originality/valueTo 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.
{"title":"Financial development: Is it an advantage or obstacle for monetary policy?","authors":"Thi Lam Ho","doi":"10.1108/jamr-03-2021-0103","DOIUrl":"https://doi.org/10.1108/jamr-03-2021-0103","url":null,"abstract":"PurposeThe 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.Design/methodology/approachThis 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.FindingsThe 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.Originality/valueTo 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.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46714021","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 : 2022-01-13DOI: 10.1108/jamr-08-2021-0287
Nitin Gupta, Prem Vrat, Ravindra Ojha
<h3>Purpose</h3> <p>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.</p><!--/ Abstract__block --> <h3>Design/methodology/approach</h3> <p>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 <em>t</em>-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.</p><!--/ Abstract__block --> <h3>Findings</h3> <p>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.</p><!--/ Abstract__block --> <h3>Research limitations/implications</h3> <p>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.</p><!--/ Abstract__block --> <h3>Practical implications</h3> <p>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.</p><!--/ Abstract__block --> <h3>Originality/value</h3> <p>A holistic approach to exploring major drivers that impact the quality of education is a new approach. Moreover, using di
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Pub Date : 2022-01-11DOI: 10.1108/jamr-06-2021-0202
Tanakrit Wattanawarangkoon, Janthorn Sinthupundaja, N. Suppakitjarak, N. Chiadamrong
PurposeThis 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.Design/methodology/approachThe 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.FindingsThe 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.Originality/valueUnlike 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.
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