Advanced information sharing arrangement, effective government policies for digital supply chain and circular economy implementation and digitalizing the supply chains are the top three potential antecedents of digital supply chain for a circular economy.
Authors
Ashish Dwivedi, Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India.
Priyabrata Chowdhury, School of Accounting, Information Systems and Supply Chain, RMIT University, Melbourne, Australia.
Dindayal Agrawal, SOIL School of Business Design, Gurugram, India.
Sanjoy Kumar Paul, UTS Business School, University of Technology Sydney, Sydney, Australia.
Yangyan Shi, Macquarie Business School, Macquarie University, Sydney, Australia.
Summary
A digital supply chain (DSC) positively enhances circular economy (CE) practices. However, what factors and conditions lead to the implementation of DSC for transitioning toward CE is not yet clear. Therefore, this study aims at identifying and subsequently analyzing the antecedents of DSC for CE.
Methodology
The study identifies major antecedents of DSC for CE to achieve sustainability objectives through literature review and expert opinions. In this study, 19 potential antecedents of DSCs for CE are established from the literature and suggestions from industry professionals. A trapezoidal fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach is applied quantitatively to investigate the antecedents identified.
Findings
Conducted in the context of Indian automobile manufacturing industry, the findings of the study reflect that advanced information sharing arrangement, effective government policies for DSC and CE implementation and digitalizing the supply chains are the top three potential antecedents of DSC for a CE.
Originality
In the existing literature, few studies are specific to investigating the DSC and CE paradigm. The present study will help organizations develop a practical and integrated strategic approach that will foster DSC through improved knowledge of CE.
Published in: Industrial Management & Data Systems
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