This study was partially supported by the Center for International Business Studies (CIBER) and the Center for Global Supply Chain and Process Management at the Moore School of Business, University of South Carolina.
Interorganizational System Characteristics and Supply Chain Integration: An Empirical Assessment*
Article first published online: 23 FEB 2011
© 2011 The Authors Decision Sciences Journal © 2011 Decision Sciences Institute
Volume 42, Issue 1, pages 7–42, February 2011
How to Cite
Saeed, K. A., Malhotra, M. K. and Grover, V. (2011), Interorganizational System Characteristics and Supply Chain Integration: An Empirical Assessment. Decision Sciences, 42: 7–42. doi: 10.1111/j.1540-5915.2010.00300.x
- Issue published online: 23 FEB 2011
- Article first published online: 23 FEB 2011
- [Received: December 2009. Accepted: October 2010.]
- Cluster Analysis;
- Electronic Integration;
- Interorganizational Systems;
- Supply Chain;
Some firms have gained significant benefits by effectively deploying interorganizational systems (IOS) to tightly couple operations with their supply chain partners. In contrast, other firms with IOS deployments have struggled to achieve this level of success. So it is not clear how such systems can be configured to promote idiosyncratic interorganizational processes that integrate the supply chains and facilitate successful outcomes. To shed further light on this issue, we draw from multiple theoretical perspectives to develop a comprehensive and unique conceptualization of IOS characteristics that goes beyond the limited treatment it has received in extant literature. Furthermore, we empirically examine the IOS configuration choices made by firms with different supply chain integration (SCI) profiles. Our results support the notion that successful firms sequence the configuration of IOS characteristics toward effectively developing and supporting their supply chain process capabilities. In particular, we found that firms at the lower end of SCI configure IOS features to support supplier evaluation and automatic alerts. As organizations move to the upper end of the SCI spectrum, greater attention is paid to features associated with systems integration, planning, and forecasting. Recommendations to managers and academics stemming from our study are provided, along with avenues for future research.