IDEAS home Printed from https://ideas.repec.org/a/igg/jdsst0/v1y2009i3p21-45.html
   My bibliography  Save this article

Robust Strategic Planning Employing Scenario Planning and Fuzzy Inference System

Author

Listed:
  • Payam Hanafizadeh

    (Allameh Tabataba’i University (ATU), Iran)

  • Ali Hashemi

    (Virginia Polytechnic Institute and State University, USA)

  • Esmael Salahi Parvin

    (Allameh Tabataba’i University (ATU), Iran)

Abstract

Time and uncertainty play crucial roles in the strategic planning process. Organizations are faced with unpredictable changes in new technologies, products and marketplaces but it is noteworthy that they can prepare themselves to face such changes and this readiness results in competitive advantages. This article aims at introducing a method that enables organizations to draw up robust strategies in uncertain situations and leads to formulation of strategies to immunize them against environmental changes. The proposed method has combined ‘scenario planning method’ and ‘fuzzy inference system’ with traditional strategic planning by adopting a new and creative approach. Using the values of uncertain factors in the external environment, this method designs some probable forthcoming scenarios of the organization and then based on fuzzy information described by experts for fuzzy inference systems, defines a robust strategy to deal with the designed scenarios and assists managers in their evaluations of future environment.

Suggested Citation

  • Payam Hanafizadeh & Ali Hashemi & Esmael Salahi Parvin, 2009. "Robust Strategic Planning Employing Scenario Planning and Fuzzy Inference System," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 1(3), pages 21-45, July.
  • Handle: RePEc:igg:jdsst0:v:1:y:2009:i:3:p:21-45
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdsst.2009070102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jdsst0:v:1:y:2009:i:3:p:21-45. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.