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Web-Based Decision Support

In: Handbook on Decision Support Systems 1

Author

Listed:
  • Fatemeh “Mariam” Zahedi

    (University of Wisconsin)

  • Jaeki Song

    (Texas Tech University)

  • Suprasith Jarupathirun

    (Ramkhamhaeng University)

Abstract

This chapter provides a perspective on unique empirical issues in building web-based decision support systems (WB-DSSs) and research approaches for investigating such systems. We define the elements of a WB-DSS, contrast them with desktop DSSs, and outline the unique opportunities and challenges involved in developing and deploying WBDSSs. We then review research investigating WB-DSSs by discussing WB-DSS research perspectives, relevant theories in evaluating WB-DSSs, and candidate variables and constructs for measuring the performance and success of WB-DSSs.

Suggested Citation

  • Fatemeh “Mariam” Zahedi & Jaeki Song & Suprasith Jarupathirun, 2008. "Web-Based Decision Support," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 1, chapter 16, pages 315-338, Springer.
    • Handle: RePEc:spr:ihichp:978-3-540-48713-5_16
    DOI: 10.1007/978-3-540-48713-5_16
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    Cited by:

    1. Borges, P.J. & Fragoso, R. & Garcia-Gonzalo, J. & Borges, J.G. & Marques, S. & Lucas, M.R., 2010. "Assessing impacts of Common Agricultural Policy changes on regional land use patterns with a decision support system: An application in Southern Portugal," Forest Policy and Economics, Elsevier, vol. 12(2), pages 111-120, February.
    2. Rabindra Kumar Jena, 2022. "Examining the Factors Affecting the Adoption of Blockchain Technology in the Banking Sector: An Extended UTAUT Model," IJFS, MDPI, vol. 10(4), pages 1-20, September.

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