Acquiring ERP business process knowledge: A network structure analysis

Pamela J. Schmidt, Fred D. Davis, Christine C. Davis, T. Paul Cronan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This research investigates the use of knowledge structures (aka mental models) and Pathfinder network graph analysis techniques to assess the acquisition of enterprise resource planning (ERP) system business process knowledge. Two different ERP learning models are compared: the more traditional ERP learning model executed in a static business environment focusing on conveying procedural ERP application interface knowledge, and the simulation-based learning model executed in a dynamic real-world business environment focusing on constructing conceptual, real-world ERP business knowledge. Support is found for the advantages of simulation-based educational methods in learning ERP business processes. Knowledge structures and Pathfinder network analysis techniques are found to be effective in assessing business process knowledge acquisition in the context of ERP education leading to user acceptance and adaptation.

Original languageEnglish
Title of host publicationProceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010
DOIs
StatePublished - 2011
Event44th Hawaii International Conference on System Sciences, HICSS-44 2010 - Koloa, Kauai, HI, United States
Duration: Jan 4 2011Jan 7 2011

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Conference

Conference44th Hawaii International Conference on System Sciences, HICSS-44 2010
CountryUnited States
CityKoloa, Kauai, HI
Period01/4/1101/7/11

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  • Cite this

    Schmidt, P. J., Davis, F. D., Davis, C. C., & Cronan, T. P. (2011). Acquiring ERP business process knowledge: A network structure analysis. In Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010 [5718920] (Proceedings of the Annual Hawaii International Conference on System Sciences). https://doi.org/10.1109/HICSS.2011.41