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Towards the Realization of an Integrated Decision Support Environment for Organizational Decision Making

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Author Info

  • Shaofeng Liu

    (University of Plymouth, UK)

  • Alex H.B. Duffy

    (University of Strathclyde, UK)

  • Robert Ian Whitfield

    (University of Strathclyde, UK)

  • Iain M. Boyle

    (University of Strathclyde, UK)

  • Iain McKenna

    (BVT Surface Fleet Ltd., UK)

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    Abstract

    Traditional decision support systems are based on the paradigm of a single decision maker working at a standalone computer or terminal who has a specific decision to make with a specific goal in mind. Organizational decision support systems aim to support decision makers at all levels of an organization (from executive, middle management managers to operators), who have a variety of decisions to make, with different priorities, often in a distributed and dynamic environment. Such systems need to be designed and developed with extra functionality to meet the challenges such as collaborative working. This article proposes an Integrated Decision Support Environment (IDSE) for organizational decision making. The IDSE distinguishes itself from traditional decision support systems in that it can flexibly configure and re-configure its functions to support various decision applications. IDSE is an open software platform which allows its users to define their own decision processes and choose their own exiting decision tools to be integrated into the platform. The IDSE is designed and developed based on distributed client/server networking, with a multi-tier integration framework for consistent information exchange and sharing, seamless process co-ordination and synchronisation, and quick access to packaged and legacy systems. The prototype of the IDSE demonstrates good performance in agile response to fast changing decision situations.

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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdsst.2009062603
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    Bibliographic Info

    Article provided by IGI Global in its journal International Journal of Decision Support System Technology (IJDSST).

    Volume (Year): 1 (2009)
    Issue (Month): 4 (October)
    Pages: 38-58

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    Handle: RePEc:igg:jdsst0:v:1:y:2009:i:4:p:38-58

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    Web page: http://www.igi-global.com

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