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Hybrid decision model for information project selection

Author

Listed:
  • Chang-Lin Yang
  • Sue-Jane Chiang
  • Rong-Hwa Huang
  • Yu-An Lin

Abstract

Information project selection is an important and recurring activity in many organizations. Establishing a systematic project selection model thus is important for organizations. However, information system project selection is made difficult by the need to consider numerous quantitative and qualitative factors, such as business goals, benefits, project risks and limitations in available resources. This study proposes a hybrid measurement model for evaluating the overall effects of information projects. The selection model generates critical, quantitative and qualitative indicators to help managers realize the advantages/disadvantages of operational conditions. This hybrid selection model not only accelerates project evaluation and selection, but also helps organizations optimize project selection and thus achieve sustainable development. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Chang-Lin Yang & Sue-Jane Chiang & Rong-Hwa Huang & Yu-An Lin, 2013. "Hybrid decision model for information project selection," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2129-2142, June.
    • Handle: RePEc:spr:qualqt:v:47:y:2013:i:4:p:2129-2142
    DOI: 10.1007/s11135-011-9646-3
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    Citations

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    Cited by:

    1. Fuli Zhou & Yun Lin & Xu Wang & Lin Zhou & Yandong He, 2016. "ELV Recycling Service Provider Selection Using the Hybrid MCDM Method: A Case Application in China," Sustainability, MDPI, vol. 8(5), pages 1-22, May.
    2. Mehdi Toloo & Soroosh Nalchigar & Babak Sohrabi, 2018. "Selecting most efficient information system projects in presence of user subjective opinions: a DEA approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 1027-1051, December.

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