Title: Distinguishing the indistinguishable: exploring differences in supply chain software packages using centering resonance text analysis
Authors: Tim S. McLaren, Priscilla R. Manatsa
Addresses: Ted Rogers School of Management, Ryerson University, 350 Victoria Street, Toronto M5B 2K3, Canada. ' Ted Rogers School of Management, Ryerson University, 350 Victoria Street, Toronto M5B 2K3, Canada
Abstract: Selecting a Supply Chain Management (SCM) software package is difficult due to the complexity and apparent similarities of the software. This paper uses text mining tools to analyse documentation covering the seven most popular supply chain software packages. The resulting concept maps reveal that any distinguishing features are deeply buried in the documentation, while at a superficial level all seven vendors would appear to address the same concepts. This paper contributes a more precise understanding of the similarities and differences between SCM software packages. Guidelines for using this knowledge to make more rational and informed software selection decisions are discussed.
Keywords: SCM software; supply chain management; enterprise information systems; EIS; software selection; software evaluation; requirements engineering; centering theory; influence analysis; text mining; supply chain software.
International Journal of Logistics Systems and Management, 2011 Vol.8 No.2, pp.167 - 182
Published online: 13 Feb 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article