Title: Information sharing in supply chain: modelling the enablers

Authors: Akshay A. Pujara; Ravi Kant; M.D. Singh

Addresses: Department of Mechanical Engineering, S.V. National Institute of Technology, Surat-395007, India. ' Department of Mechanical Engineering, S.V. National Institute of Technology, Surat-395007, India. ' Department of Mechanical Engineering, Motilal Nehru National Institute of Technology, Allahabad, 211 004, India

Abstract: The purpose of this paper is to present an approach for effective information sharing (IS) in supply chain (SC) by understanding the relationship between various information sharing enablers (ISEs). Using interpretive structural modelling (ISM), the research presents a hierarchy-based model and the mutual relationships among the ISEs. The research shows that there is a group of ISEs having a high driving power and low dependence which requires maximum attention and is of strategic importance while, another group consists of those ISEs which have high dependence and low driving power which requires the resultant actions. This categorisation provides a useful tool to top management to differentiate between independent and dependent ISEs and their mutual relationships which would help them to focus on those key ISEs that are most significant for effective IS enablement of SC.

Keywords: driving power; dependence power; supply chain management; SCM; interpretive structural modelling; ISM; enablers; information sharing; supply chain information.

DOI: 10.1504/IJBIS.2012.049568

International Journal of Business Information Systems, 2012 Vol.11 No.3, pp.304 - 323

Published online: 08 Oct 2012 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article