Empirical analysis, mapping and prioritisation of supply chain risk - Indian automotive context

Aditya Gautam, Asif Akhtar, Mrinalini Shah and Usha Gautam

International Journal of Automotive Technology and Management, 2025, vol. 25, issue 1, 16-37

Abstract: Supply chain risk management has become a crucial topic of interest for both academics and professionals, owing to the ever-changing and complex nature of the contemporary business environment. The challenges posed to sustainability have forced businesses to rethink their strategies, and it is imperative to prioritise supply chain risks to ensure their long-term success. This article aims to study the Indian automobile supply chain empirically and explores the various supply chain risks from the articles published between 2010 and 2024 and subsequent brainstorming sessions with 25 industry practitioners. After discussion and feedback from industry experts, an online survey was distributed to the industry professionals. A total of 100 responses were collected. Finally, the feedback from expert panels and survey results are used to calculate the risk priority number (RPN) to prioritise each risk using the failure mode and effect analysis (FMEA) approach. Based on RPN value, the risks are classified into three classes: high, medium and low. In our study, we found that the automobile industry is largely impacted by external supply chain risk, and therefore seeks the constant attention of industry experts to secure their supply chain from the adverse effect of these risks.

Keywords: automobile industry; empirical analysis; failure mode and effect analysis; FMEA; India; supply chain risk; survey; brainstorming. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=147458 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijatma:v:25:y:2025:i:1:p:16-37

Access Statistics for this article

More articles in International Journal of Automotive Technology and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().