Supply chain information flow strategies: an empirical taxonomy
International Journal of Operations & Production Management
ISSN: 0144-3577
Article publication date: 13 November 2009
Abstract
Purpose
The purpose of this paper is to identify different information flow strategies to enhance integration in strategic alliances and studies these strategies with respect to contextual factors and the impact on performance.
Design/methodology/approach
The paper examines empirical data gathered from 56 manufacturing companies, describing 112 supply chain relationships. An empirical taxonomy is created based on cluster analysis.
Findings
Based on a parsimonious description of inter‐firm information flows in the literature and this paper's empirical findings, three types of alliances are identified: Silent; Communicative; and IT intensive. While Silent alliances have the poorest overall performance, substantial similarities are found between Communicative and IT intensive alliances. In particular, the analysis suggests that IT intensive alliances, albeit performing better on operational capabilities, are not performing better on relationship satisfaction compared to Communicative alliances. Additional analyses indicate that partners of an IT intensive alliance are substantially more interdependent and larger in size.
Research limitations/implications
This research presents a taxonomy of information flow strategies in a supply chain context. This research is not describing causality, since the data are not longitudinal in nature.
Practical implications
Managers need to selectively invest in IT according to an overall supply chain integration strategy, which also takes softer, less technological forms of integration into consideration.
Originality/value
This research provides insight into inter‐firm information flows from a contingency perspective, recognizing heterogeneity of firms and supply chain practices.
Keywords
Citation
Vanpoucke, E., Boyer, K.K. and Vereecke, A. (2009), "Supply chain information flow strategies: an empirical taxonomy", International Journal of Operations & Production Management, Vol. 29 No. 12, pp. 1213-1241. https://doi.org/10.1108/01443570911005974
Publisher
:Emerald Group Publishing Limited
Copyright © 2009, Emerald Group Publishing Limited