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A Conceptual Model for Knowledge Marts for Decision Making Support Systems

Author

Listed:
  • Hayden Wimmer

    (Department of Information Systems, University of Maryland Baltimore County, Baltimore, MD, USA)

  • Guisseppi Forgionne

    (Department of Information Systems, University of Maryland Baltimore County, Baltimore, MD, USA)

  • Roy Rada

    (Department of Information System, College of Engineering and Information Technology, University of Maryland Baltimore County, Baltimore, MD, USA)

  • Victoria Yoon

    (Department of Information Systems, Virginia Commonwealth University, Richmond, VA, USA)

Abstract

This paper provides an integrated and comprehensive conceptual framework for knowledge based decision making support systems. Previous research has focused primarily on general decision support systems. The paper extends the previous work by presenting a framework to support specific decisions using knowledge marts that contain decision pertinent knowledge. A proposed methodology to test the effectiveness of this new model is proposed. The model presented provides much more specific knowledge support than previous systems.

Suggested Citation

  • Hayden Wimmer & Guisseppi Forgionne & Roy Rada & Victoria Yoon, 2012. "A Conceptual Model for Knowledge Marts for Decision Making Support Systems," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 4(4), pages 24-38, October.
    • Handle: RePEc:igg:jdsst0:v:4:y:2012:i:4:p:24-38
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdsst.2012100102
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    Cited by:

    1. Wa'el Hadi, 2017. "A New Model for Integrating Phases of Decision-Making and Knowledge Base for Improving Customer Satisfaction," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 1-21, September.

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