EconPapers    
Economics at your fingertips  
 

Modelling and analysis of supply chain risks in leather industry

Sundarabaskar Hariharan, Rajmohan Murugesan and A.G. Mahalakshmi

International Journal of Manufacturing Technology and Management, 2019, vol. 33, issue 5, 329-341

Abstract: Due to globalised marketing, supply chain of leather industries in India are now facing variety of risks. Hence, modelling and analysis of supply chain risk becomes paramount important. In this article, the major risks that affect the supply chain performance of leather industries in India were identified through systematic literature review and experts opinion. These risks are grouped using exploratory factor analysis (EFA) and the grouped risks are confirmed using confirmatory factor analysis (CFA). Structural equation modelling (SEM) was created and analysed. It is found that demand risks influence the operation risk with high impact. This analysis helps in understanding the relationship and the impact of each risk with other risks which in turn very much helpful in developing guidelines for managerial decision making process to mitigate supply chain risks.

Keywords: supply chain; risk management; exploratory factor analysis; EFA; confirmatory factor analysis; CFA; structural equation modelling; SEM. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=103310 (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:ijmtma:v:33:y:2019:i:5:p:329-341

Access Statistics for this article

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

 
Page updated 2025-03-19
Handle: RePEc:ids:ijmtma:v:33:y:2019:i:5:p:329-341