Identifying and assessing barriers to information sharing in supply chain - a case study of the automotive industry

Farhad Panahifar, Sajjad Shokouhyar and Sina Mosafer

International Journal of Business Information Systems, 2022, vol. 41, issue 2, 258-288

Abstract: This paper tries to assess and identify information sharing barriers in supply chains, in particular, the automotive sector in Iran. After literature review, the barriers to information sharing were identified and then, using experts' opinion and the analytic hierarchy process (AHP) technique, the identified barriers were ranked to determine and choose the significant barriers to information sharing. Next, a framework was proposed using interpretative structural modelling (ISM) to investigate the relationship between the important barriers. Finally, the results were presented in a final model. This study has significant practical implications for organisations as it identifies the main information sharing barriers and their causal relationships. This will help firms in the process of collaboration through information sharing particularly for mitigation strategies for dominant barriers. The present study makes an empirical contribution to the body of knowledge by investigating an integrated framework focusing on information sharing barriers and its impact on firms' performance.

Keywords: supply chain management; barriers; automotive industry; Iran; information sharing. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=126131 (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:ijbisy:v:41:y:2022:i:2:p:258-288

Access Statistics for this article

More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().