Driving circular transformation: evaluating and enhancing enablers of circular supply chains

Purpose The present study identifies and analyses the circular supply chain (CSC) enablers concerned with industrial organizations to understand the interconnectedness of CSC enablers. Design/methodology/approach Conducting a thorough literature review and utilizing a hybrid approach involving Robust-Best-Worst-Method (RBWM) and Interpretive Structural Modeling (ISM) methodologies, we assess the intensity and connectivity of Circular Supply Chain Enablers (CSCEs), incorporating expert opinions. Additionally, we employ fuzzy-MICMAC analysis to determine the driving-dependent power of the CSCEs. Findings The study identifies 30 CSCEs in a framework, excluding three low-impact enablers at the initial stage. An additional 30 CSCEs are introduced to enhance the framework for improved implementation. The Fuzzy MICMAC study underscores the high instability of four enablers in the linkage quadrant, signaling that minor adjustments negatively impact organizational performance. Originality/value This work holds practical significance for industry researchers and practitioners alike. The initial study introduces a structural hierarchy of CSCEs, aiming to provide a model for academics studying CSC and facilitate its practical implementation.

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Publication Details

Journal
International Journal of Productivity and Performance Management
Published
2024-11-26
DOI
https://doi.org/10.1108/ijppm-12-2023-0685
Citations
6
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
3.33
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article

Driving circular transformation: evaluating and enhancing enablers of circular supply chains

Sonali Yadav, Dinesh Singh
6 citations
International Journal of Productivity and Performance Management
Sustainable Supply Chain Management
3.33
article

Driving circular transformation: evaluating and enhancing enablers of circular supply chains

Sonali Yadav, Dinesh Singh
article en
6 citations

Abstract

Purpose The present study identifies and analyses the circular supply chain (CSC) enablers concerned with industrial organizations to understand the interconnectedness of CSC enablers. Design/methodology/approach Conducting a thorough literature review and utilizing a hybrid approach involving Robust-Best-Worst-Method (RBWM) and Interpretive Structural Modeling (ISM) methodologies, we assess the intensity and connectivity of Circular Supply Chain Enablers (CSCEs), incorporating expert opinions. Additionally, we employ fuzzy-MICMAC analysis to determine the driving-dependent power of the CSCEs. Findings The study identifies 30 CSCEs in a framework, excluding three low-impact enablers at the initial stage. An additional 30 CSCEs are introduced to enhance the framework for improved implementation. The Fuzzy MICMAC study underscores the high instability of four enablers in the linkage quadrant, signaling that minor adjustments negatively impact organizational performance. Originality/value This work holds practical significance for industry researchers and practitioners alike. The initial study introduces a structural hierarchy of CSCEs, aiming to provide a model for academics studying CSC and facilitate its practical implementation.

International Journal of Productivity and Performance ManagementVol. 74(6)
Sardar Vallabhbhai National Institute of Technology Surat (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Sustainable Supply Chain Management
3.33
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Driving circular transformation: evaluating and enhancing enablers of circular supply chains — Sonali Yadav, Dinesh Singh · International Journal of Productivity and Performance Management (2024) | TGRS Research Map | TGRS