*Like all invited papers and invited notes, the original version of this manuscript underwent a double-blind review process.
Investigating Population and Topological Evolution in a Complex Adaptive Supply Network*
Article first published online: 9 JUL 2009
© 2009 Institute for Supply Management, Inc.™
Journal of Supply Chain Management
Volume 45, Issue 3, pages 54–57, July 2009
How to Cite
PATHAK, S. D., DILTS, D. M. and MAHADEVAN, S. (2009), Investigating Population and Topological Evolution in a Complex Adaptive Supply Network. Journal of Supply Chain Management, 45: 54–57. doi: 10.1111/j.1745-493X.2009.03171.x
- Issue published online: 9 JUL 2009
- Article first published online: 9 JUL 2009
- supply network;
- complex adaptive supply network;
- analysis of supply network evolution;
- time series analysis;
- logistical regression
This paper investigates the dynamics of a complex adaptive supply network (CASN), focusing on understanding stability of the structural evolution of a supply network and supplier population emergence. Supply network evolution data collected from simulated responses of the U.S. automobile industry are used in multivariate statistics and time series analysis to identify patterns of network evolution. This analysis reveals that the type of environment a supply network evolves in appears to be a major factor in determining critical timing of structural changes during the evolution of a CASN. Further, time series analysis of firm population evolution highlights how supply networks evolve due to path dependencies in the CASN system. Information about these two aspects of supply network evolution can prove useful to a decision maker in determining how to respond to supply network changes.