Interpretive Structural Modelling Approach to Evaluate Knowledge Sharing Enablers in Circular Supply Chain: A Study of The Indian Manufacturing Sector

Anirban Ganguly () and John V. Farr ()
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Anirban Ganguly: Jindal Global Business School, O. P. Jindal Global University, Sonipat 131001, Haryana, India
John V. Farr: ��Department of Systems Engineering, United States Military Academy, West Point, New York 10996, United States of America

Journal of Information & Knowledge Management (JIKM), 2024, vol. 23, issue 06, 1-24

Abstract: Knowledge sharing can be considered an important activity to improve the performance among various entities of a supply chain. The purpose of this study is to identify and evaluate a set of critical knowledge-sharing enablers that might aid in successfully managing a circular supply chain (CSC) in the context of the Indian manufacturing sector. The knowledge-sharing enablers were determined through a review of the extant literature, coupled with discussion with subject matter experts (SMEs). The quantitative technique of interpretive structural modelling (ISM) was used to analyse the identified knowledge-sharing enablers. The findings of this study revealed that the knowledge-sharing capabilities of an organisation, organisation structure and support from the top management formed the most significant enablers for Indian manufacturing organisations. This study has significant managerial and academic contributions. While supply chain managers can use the findings of this study to gain a better understanding of the role of knowledge sharing in managing CSC in the Indian manufacturing context, policymakers can use these findings to formulate strategies for effectively managing the CSC, as well as improving its operational effectiveness. The findings can also aid academic researchers to further analyse the role that knowledge sharing might play in successfully managing CSC, including other industries (for example, service industries), as well as other geographical regions.

Keywords: Circular supply chain; circular supply chain management; knowledge sharing; interpretive structural modelling; knowledge sharing enablers; manufacturing sector; India (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S021964922450076X

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