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A systematic comparison of multi-criteria decision making methods for the improvement of project portfolio management in complex organisations

Author

Listed:
  • Darius Danesh
  • Michael J. Ryan
  • Alireza Abbasi

Abstract

The successful delivery of organisational objectives is significantly linked to the effective collection of project portfolios. There are many different multi-criteria decision making (MCDM) methods available which can be used to calculate examine and select project portfolio management (PPM) decision options. However, finding the most suitable one is a challenging task which requires a constructive review and comparison of existing PPM MCDM approaches. This study identifies the strengths and weaknesses of MCDM methods for assisting in PPM decision making. Of more than 100 methods identified in more than 1,400 publications, eight [analytic hierarchy process (AHP), analytic network process (ANP), data envelopment analysis (DEA), dominance-based rough set approach (DRSA), elimination and choice expressing the reality (ELECTRE), preference-ranking organisation method for enrichment evaluations (PROMETHEE), technique for order preference by similarity to ideal solution (TOPSIS), and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR)] that best suit PPM are down-selected and compared. Although none is ideally suited for the application to portfolio management, two standard ones (AHP and DEA) are shown to be the most suitable and are recommended for the further investigation and validation.

Suggested Citation

  • Darius Danesh & Michael J. Ryan & Alireza Abbasi, 2017. "A systematic comparison of multi-criteria decision making methods for the improvement of project portfolio management in complex organisations," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 16(3), pages 280-320.
  • Handle: RePEc:ids:ijmdma:v:16:y:2017:i:3:p:280-320
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    Citations

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    Cited by:

    1. Mahmut Baydaş & Dragan Pamučar, 2022. "Determining Objective Characteristics of MCDM Methods under Uncertainty: An Exploration Study with Financial Data," Mathematics, MDPI, vol. 10(7), pages 1-25, March.
    2. Dušana Dokupilová & Vladimíra Kurincová Čavojová & Vladimír Baláž & Eva Ballová Mikušková & Dagmar Gombitová, 2021. "Smart advice for better governance: applying expert methods to high-stakes decisions," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(3), pages 285-293, September.
    3. Maciej Nowak & Tadeusz Trzaskalik, 2022. "A trade-off multiobjective dynamic programming procedure and its application to project portfolio selection," Annals of Operations Research, Springer, vol. 311(2), pages 1155-1181, April.
    4. Merve Koçak Güngör & Bülent Bostancı & Neşe Yılmaz Bakır & Umut Doğan, 2022. "Investigation of Urban Design Approaches in Renewal Areas with Hybrid Decision Model," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    5. Ran Etgar & Yuval Cohen, 2022. "Roadmap Optimization: Multi-Annual Project Portfolio Selection Method," Mathematics, MDPI, vol. 10(9), pages 1-23, May.

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