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A combined decision model for R&D project portfolio selection

Author

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  • Tahir Conka
  • Ozalp Vayvay
  • Bahar Sennaroglu

Abstract

In this paper, a combined decision model for selecting and prioritising Research and Development (Ramp;D) projects is proposed. The aim of this study is to provide a systematic approach for project portfolio selection. Analytic Hierarchy Process (AHP), Data Envelopment Analysis (DEA) and Value Tree Analysis (VTA) are implemented and combined in the proposed model to determine the efficient and feasible projects among the alternative RAmp;D projects. The proposed model utilises both quantitative and qualitative information for project portfolio selection. The efficient projects with the higher feasibility scores have the higher priority over the alternative R&D projects. Decision-makers of R&D projects can use the proposed model to select the right projects, which are efficient and feasible using both quantitative and qualitative information available.

Suggested Citation

  • Tahir Conka & Ozalp Vayvay & Bahar Sennaroglu, 2008. "A combined decision model for R&D project portfolio selection," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 2(2), pages 190-202.
    • Handle: RePEc:ids:ijbire:v:2:y:2008:i:2:p:190-202
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    Cited by:

    1. Tarek SADRAOUI & Adnen CHOCKRI, 2011. "Relationship Between Private and Public Investment in R&D: A Dynamic Panel Data Analysis," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 8, pages 197-212, December.
    2. Dalton Garcia Borges de Souza & Erivelton Antonio dos Santos & Nei Yoshihiro Soma & Carlos Eduardo Sanches da Silva, 2021. "MCDM-Based R&D Project Selection: A Systematic Literature Review," Sustainability, MDPI, vol. 13(21), pages 1-34, October.

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