Toward the Inter-organizational Product Information Supply Chain - Evidence from the Retail and Consumer Goods Industries

Details

Serval ID
serval:BIB_0E53E04ACA49
Type
Article: article from journal or magazin.
Collection
Publications
Title
Toward the Inter-organizational Product Information Supply Chain - Evidence from the Retail and Consumer Goods Industries
Journal
Journal of the Association for Information Systems
Author(s)
Legner C., Schemm J.
ISSN
1536-9323
Publication state
Published
Issued date
2008
Peer-reviewed
Oui
Volume
9
Number
3-4
Pages
119-150
Language
english
Abstract
Since the 1980s, the retail and consumer goods industries have been making very extensive use of EDI-based data exchange and subsequently developed the vision of Efficient Consumer Response (ECR). In the meantime, a growing number of studies report that poor data quality, in particular outdated or wrong product information, negatively impacts demand and supply chain performance. Whereas prior literature intensively studied the positive effects of information sharing on the coordination of supply and demand, this research is aimed at establishing a basis for understanding the phenomena of the underlying inter-organizational product information supply chain. Using coordination theory as an overarching framework, the main research contribution is a set of dependencies, coordination problems, and coordination mechanisms that characterize the product information supply chain. From an analysis of two retailer-manufacturer relationships, we conclude that flow and sharing dependencies evolve into reciprocal dependencies as the intensity of demand and supply collaboration increases. We also find that industry standards-notably Global Data Synchronization (GDS)-do not yet fully cover the inter-organizational coordination requirements that result from the identified set of sharing and flow dependencies.
Keywords
Efficient Consumer Response (ECR), Global Data Synchronization (GDSN), Industry Standards, Information Supply Chain, Inter-Organizational Systems (IOS), Master Data, Retail-Supplier Relationships
Web of science
Create date
05/02/2011 0:26
Last modification date
20/08/2019 13:35
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