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A Literature Review And Classification Of Enterprise Software Selection Approaches

Author

Listed:
  • CEYDA GÜNGÖR ŞEN

    (Department of Industrial Engineering, Yildiz Technical University, Yildiz, Istanbul 34349, Turkey)

  • HAYRİ BARAÇLI

    (Department of Industrial Engineering, Yildiz Technical University, Yildiz, Istanbul 34349, Turkey)

  • SELÇUK ŞEN

    (Audio Electronics, 81260, Umraniye, Istanbul, Turkey)

Abstract

The evaluation and selection of enterprise software has become increasingly difficult for decision makers due to a large number of software products available for many applications. Therefore, systematic and repeatable approaches are needed in order to select the appropriate product that best meets the customer requirements. In this paper, we present a literature review and classification of enterprise software selection approaches from the period 1982–2007. In addition to classifying the selected approaches by functional perspective, the decision-making methods used by these approaches in the generic phases of software selection process are also presented. Results are summarized with comprehensive classification tables. This study is intended as a source for academics and practitioners alike interested in software selection problem, especially those who want to see alternative decision-making techniques that can be used to support the every single step of software selection process.

Suggested Citation

  • Ceyda Güngör Şen & Hayri̇ Baraçli & Selçuk Şen, 2009. "A Literature Review And Classification Of Enterprise Software Selection Approaches," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 217-238.
    • Handle: RePEc:wsi:ijitdm:v:08:y:2009:i:02:n:s0219622009003351
    DOI: 10.1142/S0219622009003351
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    Cited by:

    1. Akshay Hinduja & Manju Pandey, 2019. "An Integrated Intuitionistic Fuzzy MCDM Approach to Select Cloud-Based ERP System for SMEs," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(06), pages 1875-1908, November.

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