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The role of joint collaboration planning actions in a demand‐driven supply chain

Pierre Hadaya (Department of Management and Technology, École des Sciences de la Gestion, Université du Québec à Montréal, Montreal, Canada)
Luc Cassivi (Department of Management and Technology, École des Sciences de la Gestion, Université du Québec à Montréal, Montreal, Canada)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 28 August 2007

3962

Abstract

Purpose

Drawing on the operations and information systems literature as well as concepts tied to buyer‐seller relationships, the objective of this exploratory research is to measure the influence of joint collaboration planning actions on the strength of relationships, interorganizational information systems (IOISs) use and firm flexibility. The path model proposed in this study also posits that joint collaboration planning actions and the strength of relationships positively affect IOISs use, which in turn positively affects firm flexibility.

Design/methodology/approach

Empirical evidence is gathered through an electronic survey conducted with 53 suppliers in a single supply network in the telecommunications equipment industry.

Findings

The present study demonstrates that joint collaboration planning actions positively and significantly impact the strength of relationships. The results also show that IOISs use mediates the impact of joint collaboration planning actions and of the strength of relationships on firm flexibility.

Practical implications

This study contributes to managers' understanding of the critical role played by joint collaboration planning actions between partners and IOISs in a demand‐driven supply chain.

Originality/value

This research is amongst the few that have examined the preparation or other activities that precede the actual collaboration between partners.

Keywords

Citation

Hadaya, P. and Cassivi, L. (2007), "The role of joint collaboration planning actions in a demand‐driven supply chain", Industrial Management & Data Systems, Vol. 107 No. 7, pp. 954-978. https://doi.org/10.1108/02635570710816694

Publisher

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Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

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