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An integrated structural model for supply chain vulnerability influencing factors in manufacturing enterprises

Satyendra Kr Sharma (Department of Management, Birla Institute of Technology and Science, Pilani, India)
Rajkumar Sharma (Department of Management, Birla Institute of Technology and Science - Pilani Campus, Pilani, India)
Anil Jindal (Department of Mechanical Engineering, Maharaja Ranjit Singh Punjab Technical University, Bathinda, India)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 16 April 2024

39

Abstract

Purpose

Supply chain vulnerability (SCV) analysis is vital for manufacturers globally because it creates a pathway for building resilient supply chains in uncertain environments. This study aims to identify drivers of SCV in the Indian manufacturing sector.

Design/methodology/approach

Sixteen drivers were identified from the literature review and followed by expert interviews. Interpretive structural modeling was used to determine the hierarchical structural relationship among identified SCV factors.

Findings

It was found that risk is not a board room agenda. Misaligned performance measures with incentives and lack of risk dashboard are the causal factors of SCV. Supply chain security, centralized production and distribution and lack of trust in the supply chain were driven factors.

Originality/value

This provides new insights to assess and prioritize initiatives for supply chain sustainability in terms of continuing business operations. The structural model provides a systemic view of SCV and helps reduce vulnerability.

Keywords

Citation

Sharma, S.K., Sharma, R. and Jindal, A. (2024), "An integrated structural model for supply chain vulnerability influencing factors in manufacturing enterprises", Journal of Modelling in Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JM2-10-2023-0227

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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