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Technology selection: application of the PROMETHEE in determining preferences—a real case of nanotechnology in Iran

Author

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  • S Ghazinoory

    (Tarbiat Modares University, Tehran, Iran)

  • M Daneshmand-Mehr

    (Payam-e-Noor University, Tehran, Iran)

  • A Azadegan

    (Rutgers Business School, Newark, New Jersey, USA)

Abstract

PROMETHEE (Preference Ranking Organization METHod for Enrichment) is a family of outranking methods. In this paper, we explore its application to technology selection by first providing a generic comparison of PROMETHEE with other ranking methods. We start our investigation by comparing the strengths and weaknesses of PROMETHEE to prevalently used methods in technology selection, such as Analytic Hierarchical Process (AHP), technology selection framework and Fuzzy Analytic Hierarchical Process (FAHP with Fuzzy Delphi). We then explain how PROMETHEE can be applied to a particular technology selection application by detailing the steps for selecting among various nanotechnology application fields. Lastly, we compare PROMETHEE to other methods in this context and explain the advantages and constraints of its use.

Suggested Citation

  • S Ghazinoory & M Daneshmand-Mehr & A Azadegan, 2013. "Technology selection: application of the PROMETHEE in determining preferences—a real case of nanotechnology in Iran," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(6), pages 884-897, June.
    • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:6:p:884-897
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    Cited by:

    1. Kim, Daewon & Kim, Seongcheol, 2017. "Newspaper companies' determinants in adopting robot journalism," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 184-195.
    2. Heidary Dahooie, Jalil & Qorbani, Ali Reza & Daim, Tugrul, 2021. "Providing a framework for selecting the appropriate method of technology acquisition considering uncertainty in hierarchical group decision-making: Case Study: Interactive television technology," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    3. Neofytou, H. & Nikas, A. & Doukas, H., 2020. "Sustainable energy transition readiness: A multicriteria assessment index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    4. Nasrollahi, Sadaf & Kazemi, Aliyeh & Jahangir, Mohammad-Hossein & Aryaee, Sara, 2023. "Selecting suitable wave energy technology for sustainable development, an MCDM approach," Renewable Energy, Elsevier, vol. 202(C), pages 756-772.

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