• DocumentCode
    2226026
  • Title

    Building an effective ERP selection system for the technology industry

  • Author

    Shuai, J.J. ; Kao, C.Y.

  • Author_Institution
    Dept. of Inf. Manage., Minghsin Univ. of Sci. & Technol., Hsinchu, Taiwan
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    989
  • Lastpage
    993
  • Abstract
    This paper models and analyzes the factors of enterprise resource planning (ERP) system selection on the fast changing technology industry. With growing pressures for collaborative information systems partnerships, ERP system selection has been an important activity for improving supply chains efficiency in technology industries. However, ERP system selection is tedious and time consuming, and the criteria used for ERP evaluation are numerous and influence one another. In this paper, we explore the potential of applying the decision making trial and evaluation laboratory (DEMATEL) approach. The DEMATEL not only can convert the relations between cause and effect of criteria into a visual structural model, but can also be used as a way to identify the key factors. A case study is used to illustrate the application of the proposed method.
  • Keywords
    cause-effect analysis; decision making; decision theory; enterprise resource planning; graph theory; supply chain management; DEMATEL approach; ERP system selection; cause-effect analysis; collaborative information system partnership; decision making trial and evaluation laboratory approach; enterprise resource planning system; graph theory; supply chain efficiency; technology industry; visual structural model; Additives; Decision making; Enterprise resource planning; Graph theory; Information management; Laboratories; Management training; Production; Project management; Stress; Decision making; Decision making trial and evaluation laboratory (DEMATEL); Enterprise resource planning; IS/IT Selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4738018
  • Filename
    4738018