Pub Date : 2024-07-23DOI: 10.1108/bij-12-2023-0910
Barnali Chaklader, Garima Chaklader, S. Shrivastav
PurposeThis study thoroughly examines the relationship between environmental, social and governance (ESG) scores and their subcategories with the investment decisions made by foreign institutional investors (FII). These subcategories include resource use, emission reduction and innovation under the environmental pillar, workforce, human rights, community and product responsibility under the social pillar and management, shareholders and CSR strategy under the governance pillar.Design/methodology/approachA machine learning technique known as “topic modeling” is used to analyse the current literature on ESG. To investigate the correlation between ESG scores and their subcategories with the investment decisions made by FII and to address concerns regarding multicollinearity and overfitting, a penalty-based regression model is employed.FindingsThe findings indicate that FIIs invest in firms with higher emission reduction and innovation scores under the environmental indicator. Additionally, firms with high human rights, community and product responsibility scores under the social indicator category have a positive relationship with FII investors. All subcategories of governance indicators, such as corporate social responsibility (CSR), strategy, shareholders and management scores, also positively impact FII investment. Of the three indicators, i.e. ESG, non-promoter FIIs give maximum weightage to governance indicators.Research limitations/implicationsSince ESG is a contemporary topic, the findings on the relationship between different categories of ESG on FII investment will support managers in their FII investment. Also, the study will help the government frame policy decisions on ESG.Originality/valuePrevious studies have explored the impact of the overall ESG indicators on FII investments, but they have not specifically studied the influence of sub-indicators within these categories on investment decisions. By addressing this gap, the study enhances stakeholder theory by identifying and prioritizing the various subcategories of ESG indicators that impact FII investment decisions.
{"title":"Impact of environmental, social and governance (ESG) on foreign institutional investments in India: a machine learning perspective","authors":"Barnali Chaklader, Garima Chaklader, S. Shrivastav","doi":"10.1108/bij-12-2023-0910","DOIUrl":"https://doi.org/10.1108/bij-12-2023-0910","url":null,"abstract":"PurposeThis study thoroughly examines the relationship between environmental, social and governance (ESG) scores and their subcategories with the investment decisions made by foreign institutional investors (FII). These subcategories include resource use, emission reduction and innovation under the environmental pillar, workforce, human rights, community and product responsibility under the social pillar and management, shareholders and CSR strategy under the governance pillar.Design/methodology/approachA machine learning technique known as “topic modeling” is used to analyse the current literature on ESG. To investigate the correlation between ESG scores and their subcategories with the investment decisions made by FII and to address concerns regarding multicollinearity and overfitting, a penalty-based regression model is employed.FindingsThe findings indicate that FIIs invest in firms with higher emission reduction and innovation scores under the environmental indicator. Additionally, firms with high human rights, community and product responsibility scores under the social indicator category have a positive relationship with FII investors. All subcategories of governance indicators, such as corporate social responsibility (CSR), strategy, shareholders and management scores, also positively impact FII investment. Of the three indicators, i.e. ESG, non-promoter FIIs give maximum weightage to governance indicators.Research limitations/implicationsSince ESG is a contemporary topic, the findings on the relationship between different categories of ESG on FII investment will support managers in their FII investment. Also, the study will help the government frame policy decisions on ESG.Originality/valuePrevious studies have explored the impact of the overall ESG indicators on FII investments, but they have not specifically studied the influence of sub-indicators within these categories on investment decisions. By addressing this gap, the study enhances stakeholder theory by identifying and prioritizing the various subcategories of ESG indicators that impact FII investment decisions.","PeriodicalId":502853,"journal":{"name":"Benchmarking: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141811732","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 : 2024-07-23DOI: 10.1108/bij-10-2023-0763
Francis Kamewor Tetteh, Kwame Owusu Kwateng, William Tani
PurposeThe COVID-19 epidemic caused significant disruptions to numerous supply chains. In order to enhance the resilience of supply chains, Collaboration (CO), Information Alignment (IA), and Big Data Analytics Capability (BDAC) have emerged as contemporary strategies within the humanitarian context. This study was conducted to explore the mechanism via which the effect of BDAC, IA and CO on Humanitarian Supply Chain Resilience (HSCR) in the humanitarian space could be optimized through Organizational Flexibility (OF).Design/methodology/approachA model of six hypotheses was developed based on the Organizational Information Processing Theory (OIPT). Data from 127 supply chain managers in humanitarian organizations were used to test the hypotheses. The analysis employed both descriptive and inferential statistics using SPSS version 26 and Smart-PLS version 3.FindingsThe study revealed that BDAC, IA, and CO individually influence supply chain resilience in the humanitarian setting while OF did not moderate the relationship between BDAC, IA, CO, and HSCR.Practical implicationsIt is essential that humanitarian stakeholders prioritize factors that could increase supply chain resilience by employing contemporary BDA technologies, effective information flow, and collaborative strategies to set up a robust humanitarian SC system that could help lessen the impact of disasters.Originality/valueThis presents interesting insights that advance theoretical debates on how CO, IA, and BDAC under varying levels of OF could influence SCR in the humanitarian context. The paper further offers some useful guidance to managers in relief organizations who desire to build resilient supply chains by leveraging BDAC, collaboration and information alignment. Finally, the paper may also provoke future humanitarian scholars to replicate the study using different approaches.
目的 COVID-19 疫情对众多供应链造成了严重破坏。为了提高供应链的复原力，协作（CO）、信息整合（IA）和大数据分析能力（BDAC）已成为人道主义领域的当代战略。本研究旨在探索通过组织灵活性（OF）优化 BDAC、IA 和 CO 在人道主义领域对人道主义供应链复原力（HSCR）的影响的机制。来自 127 名人道主义组织供应链管理人员的数据被用来检验这些假设。研究结果表明，BDAC、IA 和 CO 单独影响人道主义环境中的供应链复原力，而 OF 没有调节 BDAC、IA、CO 和 HSCR 之间的关系。实践意义人道主义利益相关者必须优先考虑可提高供应链复原力的因素，采用现代 BDA 技术、有效的信息流和协作战略，建立一个强大的人道主义供应链系统，帮助减轻灾难的影响。本文还为救援组织的管理者提供了一些有用的指导，他们希望通过利用 BDAC、协作和信息调整来建立弹性供应链。最后，本文还可能促使未来的人道主义学者使用不同的方法重复这项研究。
{"title":"Humanitarian supply chain resilience: does organizational flexibility matter?","authors":"Francis Kamewor Tetteh, Kwame Owusu Kwateng, William Tani","doi":"10.1108/bij-10-2023-0763","DOIUrl":"https://doi.org/10.1108/bij-10-2023-0763","url":null,"abstract":"PurposeThe COVID-19 epidemic caused significant disruptions to numerous supply chains. In order to enhance the resilience of supply chains, Collaboration (CO), Information Alignment (IA), and Big Data Analytics Capability (BDAC) have emerged as contemporary strategies within the humanitarian context. This study was conducted to explore the mechanism via which the effect of BDAC, IA and CO on Humanitarian Supply Chain Resilience (HSCR) in the humanitarian space could be optimized through Organizational Flexibility (OF).Design/methodology/approachA model of six hypotheses was developed based on the Organizational Information Processing Theory (OIPT). Data from 127 supply chain managers in humanitarian organizations were used to test the hypotheses. The analysis employed both descriptive and inferential statistics using SPSS version 26 and Smart-PLS version 3.FindingsThe study revealed that BDAC, IA, and CO individually influence supply chain resilience in the humanitarian setting while OF did not moderate the relationship between BDAC, IA, CO, and HSCR.Practical implicationsIt is essential that humanitarian stakeholders prioritize factors that could increase supply chain resilience by employing contemporary BDA technologies, effective information flow, and collaborative strategies to set up a robust humanitarian SC system that could help lessen the impact of disasters.Originality/valueThis presents interesting insights that advance theoretical debates on how CO, IA, and BDAC under varying levels of OF could influence SCR in the humanitarian context. The paper further offers some useful guidance to managers in relief organizations who desire to build resilient supply chains by leveraging BDAC, collaboration and information alignment. Finally, the paper may also provoke future humanitarian scholars to replicate the study using different approaches.","PeriodicalId":502853,"journal":{"name":"Benchmarking: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141810056","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 : 2024-07-18DOI: 10.1108/bij-10-2023-0744
Santosh Kumar, Pradeep Kumar Tarei, V. Swarnakar
PurposeIn the recent post-pandemic era, the globe has been anxious for the sustainable disposal of healthcare waste to protect public health, protect the environment and enhance future preparedness. Developing countries, in particular, have struggled to dispose of healthcare waste (HCW) to eradicate the hazardous effects of medical waste generated during and after the deadly COVID-19 pandemic. Hence the purpose of the research paper is to develop a hybrid decision-making framework to identify various barriers for sustainable disposal of healthcare waste use of Grey-Decision Making Trial and Evaluation Laboratory (G-DEMATEL) and Analytical Network Process (ANP).Design/methodology/approachA hybrid framework of Grey-Decision Making Trial and Evaluation Laboratory (G-DEMATEL) and Analytical Network Process (ANP) has been used to rank barriers and sub-barriers in the disposal of healthcare waste.FindingsThe study’s findings suggest that lack of segregation practices, absence of green procurement policy, obsolete technologies and resistance to adopting change management are the topmost causal barriers influencing the remaining barriers. Lack of commitment among healthcare administrations, lack of standard performance measures and resistance to adopting change appear to be the topmost crucial barriers.Practical implicationsThe study’s finding enables all stakeholders to prioritize the barriers systematically for better performance and save resources during the process. The policymakers can use the results to design a clear regulatory framework.Originality/valueThe literature has highlighted the factors and their association with the disposal of healthcare waste mainly in isolation. The results are validated against the Grey-Analytical Hierarchy Process (G-AHP) to ensure the robustness of the proposed framework. This paper is one of the preliminary attempts to propose a framework of the interrelationships of the factors that have a direct role in survival for management education.
{"title":"Analyzing barriers to sustainable healthcare waste disposal: a hybrid decision-making framework","authors":"Santosh Kumar, Pradeep Kumar Tarei, V. Swarnakar","doi":"10.1108/bij-10-2023-0744","DOIUrl":"https://doi.org/10.1108/bij-10-2023-0744","url":null,"abstract":"PurposeIn the recent post-pandemic era, the globe has been anxious for the sustainable disposal of healthcare waste to protect public health, protect the environment and enhance future preparedness. Developing countries, in particular, have struggled to dispose of healthcare waste (HCW) to eradicate the hazardous effects of medical waste generated during and after the deadly COVID-19 pandemic. Hence the purpose of the research paper is to develop a hybrid decision-making framework to identify various barriers for sustainable disposal of healthcare waste use of Grey-Decision Making Trial and Evaluation Laboratory (G-DEMATEL) and Analytical Network Process (ANP).Design/methodology/approachA hybrid framework of Grey-Decision Making Trial and Evaluation Laboratory (G-DEMATEL) and Analytical Network Process (ANP) has been used to rank barriers and sub-barriers in the disposal of healthcare waste.FindingsThe study’s findings suggest that lack of segregation practices, absence of green procurement policy, obsolete technologies and resistance to adopting change management are the topmost causal barriers influencing the remaining barriers. Lack of commitment among healthcare administrations, lack of standard performance measures and resistance to adopting change appear to be the topmost crucial barriers.Practical implicationsThe study’s finding enables all stakeholders to prioritize the barriers systematically for better performance and save resources during the process. The policymakers can use the results to design a clear regulatory framework.Originality/valueThe literature has highlighted the factors and their association with the disposal of healthcare waste mainly in isolation. The results are validated against the Grey-Analytical Hierarchy Process (G-AHP) to ensure the robustness of the proposed framework. This paper is one of the preliminary attempts to propose a framework of the interrelationships of the factors that have a direct role in survival for management education.","PeriodicalId":502853,"journal":{"name":"Benchmarking: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141827909","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 : 2024-07-17DOI: 10.1108/bij-02-2023-0081
B. Rice, Muhammad Mustafa Raziq, Nigel Martin, J. Rice, Mumtaz Memon, P. Fieger
PurposeThis paper investigates the moderating role of values congruence, an element of person–organisation (P–O) fit, on the relationship between intrinsic work satisfaction and anticipated employee turnover. The model uses data from employees of the Australian Public Service (APS).Design/methodology/approachThe study draws upon data from the APS’s annual Employee Census for 2018. We first use principal component analysis (PCA) to derive measures of collegial values congruence, managerial values congruence, intrinsic satisfaction and extrinsic satisfaction. The study then uses ordinary least squares (OLS) regression analysis to examine the main effects of intrinsic and extrinsic satisfaction, collegial and managerial values congruence as well as their interaction effects on anticipated future employee tenure.FindingsOur results show the significant linear effects of intrinsic satisfaction, extrinsic satisfaction and managerial values congruence on anticipated tenure. Collegial values congruence, however, did not show a significant linear effect. Interaction effects were then tested, and both collegial and managerial values congruence were shown to moderate the relationship between intrinsic satisfaction and anticipated tenure. Higher levels of both forms of values congruence buffered the negative impact of lower intrinsic satisfaction on turnover intention.Research limitations/implicationsThe study is limited by its reliance on cross-sectional self-reported data within a specific and atypical organisational context (the Australian Public Service, or APS). Additionally, the cross-sectional nature of the data limits the establishment of causal inferences. Future research could explore longitudinal data and examine other potential moderators of the turnover intention.Practical implicationsUnderstanding the moderating role of values congruence, and in particular P–O fit, can develop organisational strategies that aim to reduce turnover by emphasizing the alignment between employee values and organisational, collegial and supervisor culture and values.Originality/valueThis study contributes to the relevant literature by showing the importance of values congruence in partially offsetting the negative effects of low intrinsic satisfaction on anticipated turnover. This is particularly relevant in the public sector context. The examination of both collegial and managerial values congruence provides a more nuanced understanding of the mechanisms that drive turnover intention.
{"title":"Intrinsic satisfaction and turnover intentions: the moderating roles of collegial and managerial values congruence","authors":"B. Rice, Muhammad Mustafa Raziq, Nigel Martin, J. Rice, Mumtaz Memon, P. Fieger","doi":"10.1108/bij-02-2023-0081","DOIUrl":"https://doi.org/10.1108/bij-02-2023-0081","url":null,"abstract":"PurposeThis paper investigates the moderating role of values congruence, an element of person–organisation (P–O) fit, on the relationship between intrinsic work satisfaction and anticipated employee turnover. The model uses data from employees of the Australian Public Service (APS).Design/methodology/approachThe study draws upon data from the APS’s annual Employee Census for 2018. We first use principal component analysis (PCA) to derive measures of collegial values congruence, managerial values congruence, intrinsic satisfaction and extrinsic satisfaction. The study then uses ordinary least squares (OLS) regression analysis to examine the main effects of intrinsic and extrinsic satisfaction, collegial and managerial values congruence as well as their interaction effects on anticipated future employee tenure.FindingsOur results show the significant linear effects of intrinsic satisfaction, extrinsic satisfaction and managerial values congruence on anticipated tenure. Collegial values congruence, however, did not show a significant linear effect. Interaction effects were then tested, and both collegial and managerial values congruence were shown to moderate the relationship between intrinsic satisfaction and anticipated tenure. Higher levels of both forms of values congruence buffered the negative impact of lower intrinsic satisfaction on turnover intention.Research limitations/implicationsThe study is limited by its reliance on cross-sectional self-reported data within a specific and atypical organisational context (the Australian Public Service, or APS). Additionally, the cross-sectional nature of the data limits the establishment of causal inferences. Future research could explore longitudinal data and examine other potential moderators of the turnover intention.Practical implicationsUnderstanding the moderating role of values congruence, and in particular P–O fit, can develop organisational strategies that aim to reduce turnover by emphasizing the alignment between employee values and organisational, collegial and supervisor culture and values.Originality/valueThis study contributes to the relevant literature by showing the importance of values congruence in partially offsetting the negative effects of low intrinsic satisfaction on anticipated turnover. This is particularly relevant in the public sector context. The examination of both collegial and managerial values congruence provides a more nuanced understanding of the mechanisms that drive turnover intention.","PeriodicalId":502853,"journal":{"name":"Benchmarking: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639760","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 : 2024-07-17DOI: 10.1108/bij-10-2023-0756
Najla Abdullah Albannai, Muhammad Mustafa Raziq, Mehreen Malik, Joanna Scott-Kennel, Josephine Igoe
PurposeWith the emergence of the digital era, the role of digital leaders in developing digital capabilities and driving their firms towards digital transformation has gained significant attention. Digital dynamic capabilities involve continuous engagement of leaders in sensing, seizing, and transforming activities needed to digitally transform their firms. However, little attention is given toward the role of digital leadership in developing digital dynamic capabilities. We seek to develop an understanding of the role of digital leadership in building digital dynamic capabilities for successful digital transformation.Design/methodology/approachWe conducted a systematic literature review and looked at relevant articles using Google Scholar, ScienceDirect, and Scopus databases with key search items being “digital leadership”, “dynamic capabilities”, “digital dynamic capabilities,”. We used AND, OR operators in between the key terms to search for the relevant articles.FindingsOur conceptual framework and propositions demonstrate the digital leader's role in building three core dynamic capabilities: digital sensing (technological trends, digital scouting, digital vision, future interpretation, and digital strategies), digital seizing (organizational agility and digital portfolio), and transforming (redesigning internal structures and ecosystem partnerships) for successful digital transformation.Originality/valueThis study pioneers an integrated framework that elucidates the role of digital leadership in fostering digital dynamic capabilities essential for successful digital transformation. While previous research has examined digital leadership and transformation in separate silos, our work bridges this gap by defining and dissecting three core capabilities—digital sensing, digital seizing, and transforming. By doing so, we offer both academic and practical communities a nuanced understanding of how digital leadership shapes dynamic capabilities. The study serves as a foundational roadmap for future research and offers actionable insights for organizations striving to navigate the complex landscape of digital transformation.
目的随着数字化时代的到来，数字化领导者在发展数字化能力和推动企业实现数字化转型方面的作用受到了广泛关注。数字动态能力涉及领导者持续参与企业数字化转型所需的感知、把握和转型活动。然而，人们很少关注数字化领导力在发展数字化动态能力中的作用。我们使用 Google Scholar、ScienceDirect 和 Scopus 数据库进行了系统的文献综述，并查阅了相关文章，关键搜索项为 "数字化领导力"、"动态能力"、"数字化动态能力"。研究结果我们的概念框架和命题证明了数字化领导者在构建三种核心动态能力中的作用：数字化感知（技术趋势、数字化侦查、数字化愿景、未来解释和数字化战略）、数字化把握（组织敏捷性和数字化组合）和数字化转型（重新设计内部结构和生态系统伙伴关系），以实现成功的数字化转型。原创性/价值 本研究开创性地提出了一个综合框架，阐明了数字化领导力在培养数字化动态能力方面的作用，这种能力对于成功实现数字化转型至关重要。以往的研究将数字化领导力和数字化转型分开研究，而我们的研究通过定义和剖析三种核心能力--数字化感知、数字化把握和数字化转型，弥补了这一差距。通过这样做，我们为学术界和实践界提供了对数字化领导力如何塑造动态能力的细致理解。这项研究为未来的研究提供了一个基础路线图，并为努力驾驭数字化转型这一复杂局面的组织提供了可行的见解。
{"title":"Unraveling the role of digital leadership in developing digital dynamic capabilities for the digital transformation of firms","authors":"Najla Abdullah Albannai, Muhammad Mustafa Raziq, Mehreen Malik, Joanna Scott-Kennel, Josephine Igoe","doi":"10.1108/bij-10-2023-0756","DOIUrl":"https://doi.org/10.1108/bij-10-2023-0756","url":null,"abstract":"PurposeWith the emergence of the digital era, the role of digital leaders in developing digital capabilities and driving their firms towards digital transformation has gained significant attention. Digital dynamic capabilities involve continuous engagement of leaders in sensing, seizing, and transforming activities needed to digitally transform their firms. However, little attention is given toward the role of digital leadership in developing digital dynamic capabilities. We seek to develop an understanding of the role of digital leadership in building digital dynamic capabilities for successful digital transformation.Design/methodology/approachWe conducted a systematic literature review and looked at relevant articles using Google Scholar, ScienceDirect, and Scopus databases with key search items being “digital leadership”, “dynamic capabilities”, “digital dynamic capabilities,”. We used AND, OR operators in between the key terms to search for the relevant articles.FindingsOur conceptual framework and propositions demonstrate the digital leader's role in building three core dynamic capabilities: digital sensing (technological trends, digital scouting, digital vision, future interpretation, and digital strategies), digital seizing (organizational agility and digital portfolio), and transforming (redesigning internal structures and ecosystem partnerships) for successful digital transformation.Originality/valueThis study pioneers an integrated framework that elucidates the role of digital leadership in fostering digital dynamic capabilities essential for successful digital transformation. While previous research has examined digital leadership and transformation in separate silos, our work bridges this gap by defining and dissecting three core capabilities—digital sensing, digital seizing, and transforming. By doing so, we offer both academic and practical communities a nuanced understanding of how digital leadership shapes dynamic capabilities. The study serves as a foundational roadmap for future research and offers actionable insights for organizations striving to navigate the complex landscape of digital transformation.","PeriodicalId":502853,"journal":{"name":"Benchmarking: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639888","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 : 2024-07-11DOI: 10.1108/bij-03-2024-0208
Jooh Lee, Niranjan Pati
PurposeThis study aims to contribute to the ongoing assessment of executive compensation by investigating the nexus between managerial entrenchment factors, adopting a multifaceted perspective encompassing both economic and non-economic dimensions.Design/methodology/approachThis research employs pooled cross-sectional Ordinary Least Squares (OLS) regression and Least Squares with Dummy Variables (LSDV) models with fixed effects to examine the determinants of Chief Executive Officer (CEO) compensation.FindingsThis research identifies firm size, performance (via ROA and Tobin’s Q), and CEO characteristics (age, tenure, stock ownership, MBA degree) as significant determinants of executive compensation at the 0.05 level. In contrast, the prestige of educational institutions, doctoral degrees, and the MBA’s relevance to short-term performance, along with CEO tenure, do not significantly affect pay. Additionally, the study highlights the significance of industry type (manufacturing vs technology) in shaping compensation, emphasizing the role of firm metrics and CEO credentials in designing executive pay packages.Originality/valueThis research introduces an innovative approach to controlling unobserved heterogeneity and adjusting for the dynamic nature of CEO compensation attributes across diverse CEO characteristics. By integrating both pooled Ordinary Least Squares (OLS) and Least Squares Dummy Variable (LSDV) models, the study addresses the challenges posed by time-invariant variables and unobservable heterogeneity. Such issues have historically skewed the accuracy of traditional OLS models in identifying the comprehensive array of factors—both economic and non-economic—that influence CEO compensation. This novel methodological framework significantly advances the examination of unobservable variables that may vary not only across the firms selected for analysis but also over time periods, thereby offering a more detailed understanding of the determinants of CEO pay.
目的 本研究旨在从经济和非经济两方面的角度，通过调查管理权限因素之间的关系，为正在进行的高管薪酬评估做出贡献。设计/方法/途径本研究采用集合横截面普通最小二乘法（OLS）回归和带固定效应的最小二乘法（LSDV）模型来研究首席执行官（CEO）薪酬的决定因素。研究结果本研究发现，在 0.05 水平上，公司规模、业绩（通过 ROA 和托宾 Q 值）和首席执行官特征（年龄、任期、股票所有权、MBA 学位）是高管薪酬的重要决定因素。相比之下，教育机构的声望、博士学位、MBA 与短期业绩的相关性以及 CEO 的任期对薪酬的影响不大。此外，该研究还强调了行业类型（制造业与科技业）对薪酬影响的重要性，强调了公司指标和 CEO 资历在设计高管薪酬方案中的作用。通过整合普通最小二乘法（OLS）和最小二乘法虚拟变量（LSDV）模型，本研究解决了时变变量和不可观测异质性带来的挑战。传统的 OLS 模型在确定影响 CEO 薪酬的一系列经济和非经济因素时，其准确性一直受到这些问题的影响。这种新颖的方法框架极大地推动了对不可观测变量的研究，这些变量不仅可能因所选公司而异，也可能因时间段而异，从而提供了对首席执行官薪酬决定因素的更详细了解。
{"title":"Benchmarking executive compensations: exploring fresh perspectives on chief executive officer (CEO) compensation drivers in major US corporations","authors":"Jooh Lee, Niranjan Pati","doi":"10.1108/bij-03-2024-0208","DOIUrl":"https://doi.org/10.1108/bij-03-2024-0208","url":null,"abstract":"PurposeThis study aims to contribute to the ongoing assessment of executive compensation by investigating the nexus between managerial entrenchment factors, adopting a multifaceted perspective encompassing both economic and non-economic dimensions.Design/methodology/approachThis research employs pooled cross-sectional Ordinary Least Squares (OLS) regression and Least Squares with Dummy Variables (LSDV) models with fixed effects to examine the determinants of Chief Executive Officer (CEO) compensation.FindingsThis research identifies firm size, performance (via ROA and Tobin’s Q), and CEO characteristics (age, tenure, stock ownership, MBA degree) as significant determinants of executive compensation at the 0.05 level. In contrast, the prestige of educational institutions, doctoral degrees, and the MBA’s relevance to short-term performance, along with CEO tenure, do not significantly affect pay. Additionally, the study highlights the significance of industry type (manufacturing vs technology) in shaping compensation, emphasizing the role of firm metrics and CEO credentials in designing executive pay packages.Originality/valueThis research introduces an innovative approach to controlling unobserved heterogeneity and adjusting for the dynamic nature of CEO compensation attributes across diverse CEO characteristics. By integrating both pooled Ordinary Least Squares (OLS) and Least Squares Dummy Variable (LSDV) models, the study addresses the challenges posed by time-invariant variables and unobservable heterogeneity. Such issues have historically skewed the accuracy of traditional OLS models in identifying the comprehensive array of factors—both economic and non-economic—that influence CEO compensation. This novel methodological framework significantly advances the examination of unobservable variables that may vary not only across the firms selected for analysis but also over time periods, thereby offering a more detailed understanding of the determinants of CEO pay.","PeriodicalId":502853,"journal":{"name":"Benchmarking: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141657624","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 : 2024-07-09DOI: 10.1108/bij-12-2023-0875
Nenavath Sreenu
PurposeThe present study aims to investigate the effects of sector 4.0 technologies, particularly Financial Technology (Fintech), on Sustainable Business Success (SBS) within the Indian garment sector. It aims to analyse the impact of Fintech Integration (IF) and Extent of Financial Knowledge (EFK) on sustainability performance, with a focus on understanding the mediating effect of Financial Accessibility (FA) in this relationship.Design/methodology/approachThe study utilizes covariance-based structural equation modelling (CB-SEM) to analyse data collected from 683 enterprises in the Indian garment sector. The theoretical frameworks of Ecological Modernization Theory (EMT) and the Resource-Based View are employed to guide the research.FindingsThe investigation reveals that Fintech Integration (IF) and environmental friendliness knowledge significantly impact the promotion and maintenance of sustainability within the Indian garment sector. Moreover, the study highlights the moderating influence of financial Accessibility (FA) on the associations among fintech integration, Extent of Financial Knowledge, and sustainability attainment. Furthermore, sensitivity studies demonstrate that improved financial access positively affects a firm’s sustainability performance.Originality/valueThis study contributes to the existing literature by addressing significant knowledge gaps and offering practical insights for managers and policymakers in the Ready-Made Garments (RMG) industry. It provides a comprehensive approach that integrates fintech and financial expertise to enhance credit accessibility and foster long-term viability for enterprises within the Indian garment sector. The originality lies in its holistic perspective, combining technological integration with the Extent of Financial Knowledge to drive sustainability in a specific industrial context, thus providing valuable guidance for industry stakeholders.
{"title":"The influence of fintech and financial knowledge on sustainable business success: exploring the mediating effect of financial accessibility in Indian","authors":"Nenavath Sreenu","doi":"10.1108/bij-12-2023-0875","DOIUrl":"https://doi.org/10.1108/bij-12-2023-0875","url":null,"abstract":"PurposeThe present study aims to investigate the effects of sector 4.0 technologies, particularly Financial Technology (Fintech), on Sustainable Business Success (SBS) within the Indian garment sector. It aims to analyse the impact of Fintech Integration (IF) and Extent of Financial Knowledge (EFK) on sustainability performance, with a focus on understanding the mediating effect of Financial Accessibility (FA) in this relationship.Design/methodology/approachThe study utilizes covariance-based structural equation modelling (CB-SEM) to analyse data collected from 683 enterprises in the Indian garment sector. The theoretical frameworks of Ecological Modernization Theory (EMT) and the Resource-Based View are employed to guide the research.FindingsThe investigation reveals that Fintech Integration (IF) and environmental friendliness knowledge significantly impact the promotion and maintenance of sustainability within the Indian garment sector. Moreover, the study highlights the moderating influence of financial Accessibility (FA) on the associations among fintech integration, Extent of Financial Knowledge, and sustainability attainment. Furthermore, sensitivity studies demonstrate that improved financial access positively affects a firm’s sustainability performance.Originality/valueThis study contributes to the existing literature by addressing significant knowledge gaps and offering practical insights for managers and policymakers in the Ready-Made Garments (RMG) industry. It provides a comprehensive approach that integrates fintech and financial expertise to enhance credit accessibility and foster long-term viability for enterprises within the Indian garment sector. The originality lies in its holistic perspective, combining technological integration with the Extent of Financial Knowledge to drive sustainability in a specific industrial context, thus providing valuable guidance for industry stakeholders.","PeriodicalId":502853,"journal":{"name":"Benchmarking: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141664871","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 : 2024-07-08DOI: 10.1108/bij-04-2023-0205
S. Lobo, Dasun Nirmala Malaarachchi, P. Samaranayake, A. Elias, Pei-Lee Teh
PurposeThe purpose of this study is to investigate the influence of design for lean six sigma (DFLSS) on operational functions of the innovation management model by appraising an innovation management assessment framework.Design/methodology/approachAn empirical approach for evaluating causal relationships among various constructs in the model phases that identify optimum pathways in achieving commercial success was adopted. A quantitative analysis of survey data were collected from large, medium and small organiations, including incubators in ANZ (Australia, New Zealand) and TMSV (Thailand, Malaysia, Sri Lanka and Vietnam).FindingsThe structural equation modelling recursive path analysis results of the model provide empirical evidence and pathways through the various constructs considered in the model. All these pathways lead to delivering optimum commercialization success (CS). Furthermore, DFLSS is confirmed as an enabler and has direct one-to-one and indirect influence on all the operational function constructs of the model including commercial success.Research limitations/implicationsThis study had a relatively small sample size of completed responses obtained from the population and a constrained ability to compare commercialization success (CS) between the two regions in the dataset. Future studies could be conducted on a global scale to increase responses.Practical implicationsThe research findings enabled the development of important and practical guidelines for managers and innovation practitioners engaged in planning and management of innovation.Originality/valueThis research offers a holistic approach for integrating DFLSS with stage gate phases of innovation management assessment framework, supported by empirical evidence, to aid organizations in effectively managing the innovation process and achieving greater success in commercialization.
{"title":"Integrating design for lean six sigma (DFLSS) with the stage gate phases of the innovation management assessment framework (IMAF)","authors":"S. Lobo, Dasun Nirmala Malaarachchi, P. Samaranayake, A. Elias, Pei-Lee Teh","doi":"10.1108/bij-04-2023-0205","DOIUrl":"https://doi.org/10.1108/bij-04-2023-0205","url":null,"abstract":"PurposeThe purpose of this study is to investigate the influence of design for lean six sigma (DFLSS) on operational functions of the innovation management model by appraising an innovation management assessment framework.Design/methodology/approachAn empirical approach for evaluating causal relationships among various constructs in the model phases that identify optimum pathways in achieving commercial success was adopted. A quantitative analysis of survey data were collected from large, medium and small organiations, including incubators in ANZ (Australia, New Zealand) and TMSV (Thailand, Malaysia, Sri Lanka and Vietnam).FindingsThe structural equation modelling recursive path analysis results of the model provide empirical evidence and pathways through the various constructs considered in the model. All these pathways lead to delivering optimum commercialization success (CS). Furthermore, DFLSS is confirmed as an enabler and has direct one-to-one and indirect influence on all the operational function constructs of the model including commercial success.Research limitations/implicationsThis study had a relatively small sample size of completed responses obtained from the population and a constrained ability to compare commercialization success (CS) between the two regions in the dataset. Future studies could be conducted on a global scale to increase responses.Practical implicationsThe research findings enabled the development of important and practical guidelines for managers and innovation practitioners engaged in planning and management of innovation.Originality/valueThis research offers a holistic approach for integrating DFLSS with stage gate phases of innovation management assessment framework, supported by empirical evidence, to aid organizations in effectively managing the innovation process and achieving greater success in commercialization.","PeriodicalId":502853,"journal":{"name":"Benchmarking: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141668569","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}
PurposePerformance management system (PMS) is a crucial element of strategic human resource practices in any organization. This research aims to provide a concise overview of how bibliometric analysis is employed to assess the influence and significance of cutting-edge technologies in shaping of PMS. This study seeks to identify key trends, emerging technologies and their impact on the evolution of performance management practices, contributing valuable insights for researchers, practitioners and policymakers in this field.Design/methodology/approachThis investigation is carried out utilizing total of eight research questions, which are examined through VOS Viewer and Biblioshiny software. The research offers visual diagrams and tables depicting the data extracted from the Scopus Database.FindingsThe study’s results underscore a noticeable increase in research literature pertaining to PMS, indicating a shift from conventional methods to a strategic, technology-driven approach. These findings cover the way for further investigation across various disciplines, offering opportunities to enhance the efficacy and productivity of PMS.Practical implicationsThe implementation of new technologies such as Artificial intelligence (AI), machine learning and robotics etc. in PMS have also been analysed to give a sneak peak of the bigger future picture of AI and strategic human resource integration.Originality/valueTo the best of the authors' understanding, this analysis represents the inaugural application of bibliometric techniques to evaluate the advancement of research on Performance Management System (PMS) dating back to 1978, utilizing academic literature sourced from the Scopus database.
{"title":"Using bibliometric analysis to determine the role of cutting-edge technologies in the development of future performance management system","authors":"Pankaj Kumar, Karuna Prakash, Anjali Dimri, Manjula Khulbe, Satish Chandra Mishra","doi":"10.1108/bij-07-2023-0477","DOIUrl":"https://doi.org/10.1108/bij-07-2023-0477","url":null,"abstract":"PurposePerformance management system (PMS) is a crucial element of strategic human resource practices in any organization. This research aims to provide a concise overview of how bibliometric analysis is employed to assess the influence and significance of cutting-edge technologies in shaping of PMS. This study seeks to identify key trends, emerging technologies and their impact on the evolution of performance management practices, contributing valuable insights for researchers, practitioners and policymakers in this field.Design/methodology/approachThis investigation is carried out utilizing total of eight research questions, which are examined through VOS Viewer and Biblioshiny software. The research offers visual diagrams and tables depicting the data extracted from the Scopus Database.FindingsThe study’s results underscore a noticeable increase in research literature pertaining to PMS, indicating a shift from conventional methods to a strategic, technology-driven approach. These findings cover the way for further investigation across various disciplines, offering opportunities to enhance the efficacy and productivity of PMS.Practical implicationsThe implementation of new technologies such as Artificial intelligence (AI), machine learning and robotics etc. in PMS have also been analysed to give a sneak peak of the bigger future picture of AI and strategic human resource integration.Originality/valueTo the best of the authors' understanding, this analysis represents the inaugural application of bibliometric techniques to evaluate the advancement of research on Performance Management System (PMS) dating back to 1978, utilizing academic literature sourced from the Scopus database.","PeriodicalId":502853,"journal":{"name":"Benchmarking: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335066","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 : 2024-06-14DOI: 10.1108/bij-09-2023-0625
Mohammed Belal Uddin
PurposeThis study assesses how relational factors and buyer-supplier relationship commitment (BSRC) influence supply chain integration (SCI) and firm performance in Bangladesh's apparel manufacturing sector. Firm performance includes operational performance and innovation performance.Design/methodology/approachGrounded in the social exchange theory, a survey data-based structural equation modeling (SEM) approach is applied. Based on two experts and four executives' opinions and an in-depth literature review, 28 measurement items were identified in the close-ended questionnaire design. Further, 144 valid questionnaires from the manufacturer-supplier dyads in Bangladesh were collected and used for SEM analysis.FindingsOur study reveals that relational factors positively influence BSRC. BSRC directly impacts SCI, operational, and innovation performance, whereas SCI is significantly related to operational and innovation performance. Besides, SCI mediates the two relationships: BSRC and operational performance; and BSRC and innovation performance.Originality/valueOur results contribute to the literature and offer a new way to understand relationships that connect relational factors of BSRC, BSRC, and outcomes not only by examining the focal firm but also by examining its dyadic supplier partner separately. Separate assessment in the dyad displays some similar and dissimilar results. Moreover, we suggest practical implications for managers to enhance firm performance by focusing on the significance of linking relational factors, BSRC, and SCI.
{"title":"Investigating the role of relational factors on buyer-supplier relationship commitment to enhance firm performance through supply chain integration","authors":"Mohammed Belal Uddin","doi":"10.1108/bij-09-2023-0625","DOIUrl":"https://doi.org/10.1108/bij-09-2023-0625","url":null,"abstract":"PurposeThis study assesses how relational factors and buyer-supplier relationship commitment (BSRC) influence supply chain integration (SCI) and firm performance in Bangladesh's apparel manufacturing sector. Firm performance includes operational performance and innovation performance.Design/methodology/approachGrounded in the social exchange theory, a survey data-based structural equation modeling (SEM) approach is applied. Based on two experts and four executives' opinions and an in-depth literature review, 28 measurement items were identified in the close-ended questionnaire design. Further, 144 valid questionnaires from the manufacturer-supplier dyads in Bangladesh were collected and used for SEM analysis.FindingsOur study reveals that relational factors positively influence BSRC. BSRC directly impacts SCI, operational, and innovation performance, whereas SCI is significantly related to operational and innovation performance. Besides, SCI mediates the two relationships: BSRC and operational performance; and BSRC and innovation performance.Originality/valueOur results contribute to the literature and offer a new way to understand relationships that connect relational factors of BSRC, BSRC, and outcomes not only by examining the focal firm but also by examining its dyadic supplier partner separately. Separate assessment in the dyad displays some similar and dissimilar results. Moreover, we suggest practical implications for managers to enhance firm performance by focusing on the significance of linking relational factors, BSRC, and SCI.","PeriodicalId":502853,"journal":{"name":"Benchmarking: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141344366","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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