Antecedents of low carbon emissions supply chains

Purpose: A low-carbon economy is the pressing need of the hour. Despite several efforts taken by the government and large corporations, there is still research to be conducted exploring the role of top management commitment in translating external pressures into responses that help to build low-carbon emissions in supply chains. Design/methodology/approach: The authors have grounded their framework in institutional theory, agency theory and contingency theory. On the basis of existing literature, four hypotheses were drawn. To test these hypotheses, a questionnaire was developed and pre-tested. Finally, statistical analyses were performed to test the research hypotheses using 176 samples gathered using a pre-tested questionnaire following Dillman’s (2007) total design test method. Findings: The results suggest that coercive pressures and mimetic pressures under the mediating effect of top management commitment have a significant influence on organizational response to low-carbon emissions. The authors further note that supply base complexity has moderating effects on the link between top management commitment and organizational response towards low-carbon emissions. Originality/value: This study offers valuable insights to those managers and environmental consultants who view supply base complexity as a limitation. However, the results indicate that supply base complexity may help to enhance the effectiveness of the top management commitment on organizational response towards low-carbon emissions

World Class Sustainable Supply Chain Management: critical review and further research directions

Purpose Sustainable supply chain management (SSCM) has attracted considerable interest among academics and practitioners. The purpose of this paper is to present a critical review of the literature, to identify missing links, to argue for the use of world class SSCM (WCSSCM) through a framework, and suggest further research directions. Design/methodology/approach In the paper the authors have undertaken an extensive review of literature and classified articles using a novel classification scheme. Findings Through the extensive review and identification of research gaps, the paper identifies significant differences between definitions and methodologies in the SSCM literature; and argues for “WCSSCM.” This term is elaborated on via a theoretical framework in which 18 dimensions are classified under six constructs of SSCM. Furthermore, a list of potential research directions for WCSSCM is discussed. Research limitations/implications The research is an attempt to critically review literature, argue for WCSSCM, and develop a theoretical framework. Originality/value The paper offers a new approach to SSCM literature, arguing for WCSSCM through a framework, and providing further research directions

Supplier Relationship Management for Circular Economy: Influence of External Pressures and Top Management Commitment

Purpose: With considerable international awareness of circular economy (CE), the purpose of the study is to propose a theoretical framework, informed by institutional theory and upper echelon theory, to explain how top management commitment mediates the relationship between external pressures and supplier relationship management (SRM) practices for the circular economy. Design/methodology/approach: We test our hypotheses using cross-sectional data gathered using a survey of companies involved in sustainability practices. Findings: The results of the hierarchical regression and mediating regression analyses suggest that top management commitment positively mediates the effect of external institutional pressures on supplier relationship management. Originality/value: We advance existing theory by integrating institutional theory and upper echelon theory to explain SRM practices in sustainable supply networks. Furthermore, we offer guidance to managers who would like to engage in leveraging supplier relationship management in sustainable supply networks and outline future research directions

Antecedents of Resilient Supply Chains: An Empirical Study

In recent years, there has been a proliferation of interest in resilience in the supply chain field. Even though literature has acknowledged the antecedents of resilient supply chains, such as supply chain visibility, cooperation, and information sharing, their confluence in creating resilient supply chains where other behavioural issues are prevailing (i.e. trust and behavioural uncertainty) has not been studied. To address this gap, we conceptualized a theoretical framework firmly grounded in the resource based view (RBV) and the relational view that is tested for 250 manufacturing firms using hierarchical moderated regression analysis. The study offers a nuanced understanding of supply chain resilience and implications of supply chain visibility, cooperation, trust and behavioural uncertainty. Implications and suggestions for further research are provided

Examining Top Management Commitment to TQM Diffusion using Institutional and Upper Echelon Theories

Total Quality Management (TQM) is an enduring approach for enhancing firm competitiveness. Still, there is dearth of research regarding organisational diffusion (post-adoption) of TQM. To address this gap, this research proposes a theoretical model rooted in institutional and upper echelon theories that explains TQM diffusion via top management commitment. We surveyed 300 senior quality managers representing 300 auto-components manufacturers in India to collect data to test the proposed model using variance based structural equation modelling (PLS-SEM). The findings suggest that institutional pressures significantly influence top management commitment to TQM. Subsequently, top management commitment influences organisational diffusion of TQM via acceptance, routinization, and assimilation. Managers can use the findings of this research to better understand how to assimilate TQM so that anticipated benefits can be fully realized

Impact of Big Data & Predictive Analytics Capability on Supply Chain Sustainability

Purpose: The purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization. Design/methodology/approach: The authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM. Findings: The statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support for H4. Although the authors did not find support for H4 (moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies. Originality/value: This study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results

Examining the effect of External Pressures and Organizational Culture on shaping Performance Measurement Systems (PMS) for Sustainability Benchmarking: Some Empirical Findings

Sustainability benchmarking is gaining importance in industry. Despite its increasing popularity, the existing research utilizing theory to explain the organizations intention to shape performance measurement systems (PMS) for sustainability benchmarking is limited. Drawing upon institutional theory and organizational culture, this study investigates how institutional pressures motivate organizations to shape PMS for sustainability benchmarking and how such effects are moderated by organizational culture. The results of a survey of 277 respondents, gathered from Indian manufacturing firms, suggest that two of the dimensions of the institutional pressures (i.e. coercive pressures and normative pressures) are positively related to the PMS whereas the third dimension (i.e. mimetic pressures) does not affect PMS. Furthermore, organizational culture (i.e. flexible orientation and control orientation) plays a different role on the differential effect of coercive pressures, normative pressures and mimetic pressures on shaping PMS for sustainability benchmarking. The current manuscript offers an interesting contribution to the sustainability benchmarking literature: we integrate the perspectives of ‘external pressures’ and ‘organizational culture’ –as neither perspective, can on, its own can shape the PMS for sustainability benchmarking–, and ‘organizational structure’ under which the external pressures are most effective. From a practitioners' perspective, our study provides theory-driven and empirically-proven guidance for managers to understand the effect of external pressures and the role of organizational structure on PMS for sustainability benchmarking

Sustainable Production Framework for Cement Manufacturing Firms: a Behavioural Perspective

Embargo 12 months from publication. DOI to be added later

Big Data and Predictive Analytics for Supply Chain and Organizational Performance

Scholars acknowledge the importance of big data and predictive analytics (BDPA) in achieving business value and firm performance. However, the impact of BDPA assimilation on supply chain (SCP) and organizational performance (OP) has not been thoroughly investigated. To address this gap, this paper draws on resource-based view. It conceptualizes assimilation as a three stage process (acceptance, routinization, and assimilation) and identifies the influence of resources (connectivity and information sharing) under the mediation effect of top management commitment on big data assimilation (capability), SCP and OP. The findings suggest that connectivity and information sharing under the mediation effect of top management commitment are positively related to BDPA acceptance, which is positively related to BDPA assimilation under the mediation effect of BDPA routinization, and positively related to SCP and OP. Limitations and future research directions are provided