The role of data standards in supply chain management: a critical review

Jiang, Weijie (2010) The role of data standards in supply chain management: a critical review. [Dissertation (University of Nottingham only)] (Unpublished)

[img] PDF - Registered users only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (612kB)

Abstract

Entering the 21st century, the business environment is getting more and more competitive and organizations are increasingly focusing on operating as efficient as possible. One way for organizations to achieve superior efficiency and competitive advantages over their rivals is to implement an efficient and effective supply chain management (SCM). By implementing successful SCM, firms can capture benefits such as reduced inventories, reduce cost, increase inventory turns and eventually increase customer satisfactions. Supply chain integration and information sharing among supply chain partners are the keys to efficient and effective supply chain management. The implementation of a collaborative SCM system needs the integration of information exchanges which has been facilitated by data standards. Data standards reduce the transaction costs of information exchange and hence enhance supply chain integration. This study investigates the relationship between data standards, supply chain integration and supply chain performance. The overall objective is to exam the role of data standards on SCM. Based on multiple theoretical perspectives, a comprehensive theoretical framework of data standards is developed. Specifically, adoption of common data standards can facilitate inter-organizational integration and enhance supply chain performance. Game theory and literature review are conducted to further analyze these issues.

Item Type: Dissertation (University of Nottingham only)
Depositing User: EP, Services
Date Deposited: 20 Jan 2011 14:33
Last Modified: 27 Sep 2016 17:23
URI: http://eprints.nottingham.ac.uk/id/eprint/23948

Actions (Archive Staff Only)

Edit View Edit View