• DocumentCode
    2596878
  • Title

    Acquiring ERP Business Process Knowledge: A Network Structure Analysis

  • Author

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

  • Author_Institution
    Wayne State Univ., Detroit, MI, USA
  • fYear
    2011
  • fDate
    4-7 Jan. 2011
  • Firstpage
    1
  • Lastpage
    10
  • 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.
  • Keywords
    business data processing; education; enterprise resource planning; knowledge management; ERP business process knowledge; ERP education; business process knowledge acquisition; dynamic real-world business environment; enterprise resource planning; knowledge structure; mental model; network structure analysis; pathfinder network graph analysis technique; procedural ERP application interface knowledge; simulation-based educational method; simulation-based learning model; static business environment; Context; Knowledge engineering; Materials; Organizations; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2011 44th Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4244-9618-1
  • Type

    conf

  • DOI
    10.1109/HICSS.2011.41
  • Filename
    5718920