IDEAS home Printed from https://ideas.repec.org/a/eee/epplan/v77y2019ics0149718919301922.html
   My bibliography  Save this article

A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process

Author

Listed:
  • Tavana, Madjid
  • Khosrojerdi, Ghasem
  • Mina, Hassan
  • Rahman, Amirah

Abstract

The primary goal in project portfolio management is to select and manage the optimal set of projects that contribute the maximum in business value. However, selecting Information Technology (IT) projects is a difficult task due to the complexities and uncertainties inherent in the strategic-operational nature of the process, and the existence of both quantitative and qualitative criteria. We propose a two-stage process to select an optimal project portfolio with the aim of maximizing project benefits and minimizing project risks. We construct a two-stage hybrid mathematical programming model by integrating Fuzzy Analytic Hierarchy Process (FAHP) with Fuzzy Inference System (FIS). This hybrid framework provides the ability to consider both the quantitative and qualitative criteria while considering budget constraints and project risks. We also present a real-world case study in the cybersecurity industry to exhibit the applicability and demonstrate the efficacy of our proposed method.

Suggested Citation

  • Tavana, Madjid & Khosrojerdi, Ghasem & Mina, Hassan & Rahman, Amirah, 2019. "A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process," Evaluation and Program Planning, Elsevier, vol. 77(C).
  • Handle: RePEc:eee:epplan:v:77:y:2019:i:c:s0149718919301922
    DOI: 10.1016/j.evalprogplan.2019.101703
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0149718919301922
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.evalprogplan.2019.101703?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Faramak Zandi & Madjid Tavana, 2010. "A multi-attribute group decision support system for information technology project selection," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 6(2), pages 179-199.
    2. F. Perez & T. Gomez, 2016. "Multiobjective project portfolio selection with fuzzy constraints," Annals of Operations Research, Springer, vol. 245(1), pages 7-29, October.
    3. Tavana, Madjid & Azizi, Farshad & Azizi, Farzad & Behzadian, Majid, 2013. "A fuzzy inference system with application to player selection and team formation in multi-player sports," Sport Management Review, Elsevier, vol. 16(1), pages 97-110.
    4. Santhanam, R & Muralidhar, K & Schniederjans, M, 1989. "A zero-one goal programming approach for information system project selection," Omega, Elsevier, vol. 17(6), pages 583-593.
    5. Li, Y.P. & Huang, G.H. & Chen, X., 2011. "Planning regional energy system in association with greenhouse gas mitigation under uncertainty," Applied Energy, Elsevier, vol. 88(3), pages 599-611, March.
    6. Anquan Zou & Sophia Xiaoxia Duan & Hepu Deng, 2019. "Multicriteria Decision Making for Evaluating and Selecting Information Systems Projects: A Sustainability Perspective," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    7. Santhanam, Radhika & Kyparisis, George J., 1996. "A decision model for interdependent information system project selection," European Journal of Operational Research, Elsevier, vol. 89(2), pages 380-399, March.
    8. Wu, Huang & Shen, Jianping & Jones, Jeffrey & Gao, Xingyuan & Zheng, Yunzheng & Krenn, Huilan Y., 2019. "Using logic model and visualization to conduct portfolio evaluation," Evaluation and Program Planning, Elsevier, vol. 74(C), pages 69-75.
    9. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Govindan, Kannan & Mina, Hassan & Alavi, Behrouz, 2020. "A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    2. Masoud Rahiminezhad Galankashi & Farimah Mokhatab Rafiei & Maryam Ghezelbash, 2020. "Portfolio selection: a fuzzy-ANP approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-34, December.
    3. Hannan Amoozad Mahdiraji & Aliasghar Abbasi Kamardi & Moein Beheshti & Seyed Hossein Razavi Hajiagha & Luis Rocha-Lona, 2022. "Analysing supply chain coordination mechanisms dealing with repurposing challenges during Covid-19 pandemic in an emerging economy: a multi-layer decision making approach," Operations Management Research, Springer, vol. 15(3), pages 1341-1360, December.
    4. Tian, Yuanyuan & Bai, Libiao & Wei, Lan & Zheng, Kanyin & Zhou, Xinyu, 2022. "Modeling for project portfolio benefit prediction via a GA-BP neural network," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    5. Nitidetch Koohathongsumrit & Pongchanun Luangpaiboon, 2022. "An integrated FAHP–ZODP approach for strategic marketing information system project selection," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1792-1809, September.
    6. Attari, Mahdi Yousfi Nejad & Moslemi Beirami, Ali Asghar & Ala, Ali & Jami, Ensiye Neyshabouri, 2023. "Resolving the practical factors in the healthcare system management by considering a combine approach of AHP and ANP methods," Evaluation and Program Planning, Elsevier, vol. 100(C).
    7. Seyed Farid Ghannadpour & Ali Reza Hoseini & Morteza Bagherpour & Elmira Ahmadi, 2021. "Appraising the triple bottom line utility of sustainable project portfolio selection using a novel multi-criteria house of portfolio," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3396-3437, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mavrotas, G. & Diakoulaki, D. & Caloghirou, Y., 2006. "Project prioritization under policy restrictions. A combination of MCDA with 0-1 programming," European Journal of Operational Research, Elsevier, vol. 171(1), pages 296-308, May.
    2. Mavrotas, George & Diakoulaki, Danae & Kourentzis, Athanasios, 2008. "Selection among ranked projects under segmentation, policy and logical constraints," European Journal of Operational Research, Elsevier, vol. 187(1), pages 177-192, May.
    3. Medaglia, Andres L. & Graves, Samuel B. & Ringuest, Jeffrey L., 2007. "A multiobjective evolutionary approach for linearly constrained project selection under uncertainty," European Journal of Operational Research, Elsevier, vol. 179(3), pages 869-894, June.
    4. Alhassan Abdul-Wakeel Karakara & Evans Osabuohien, 2020. "ICT adoption, competition and innovation of informal firms in West Africa: a comparative study of Ghana and Nigeria," Journal of Enterprising Communities: People and Places in the Global Economy, Emerald Group Publishing Limited, vol. 14(3), pages 397-414, June.
    5. Karl Whelan, 2002. "Computers, Obsolescence, And Productivity," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 445-461, August.
    6. Jonathan Temple, 2002. "The Assessment: The New Economy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 18(3), pages 241-264.
    7. Irene Bertschek & Joern Block & Alexander S. Kritikos & Caroline Stiel, 2024. "German financial state aid during Covid-19 pandemic: Higher impact among digitalized self-employed," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 36(1-2), pages 76-97, January.
    8. Panos Xidonas & Haris Doukas & George Mavrotas & Olena Pechak, 2016. "Environmental corporate responsibility for investments evaluation: an alternative multi-objective programming model," Annals of Operations Research, Springer, vol. 247(2), pages 395-413, December.
    9. Josef Falkinger & Volker Grossmann, 2003. "Workplaces in the Primary Economy and Wage Pressure in the Secondary Labor Market," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 159(3), pages 523-544, September.
    10. René Riedl & Harald Kindermann & Andreas Auinger & Andrija Javor, 2012. "Technostress from a Neurobiological Perspective," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(2), pages 61-69, April.
    11. Kiley, Michael T., 2001. "Computers and growth with frictions: aggregate and disaggregate evidence," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 171-215, December.
    12. Davide Consoli & Pier Paolo Patrucco, 2011. "Complexity and the Coordination of Technological Knowledge: The Case of Innovation Platforms," Chapters, in: Handbook on the Economic Complexity of Technological Change, chapter 8 Edward Elgar Publishing.
    13. López, Alberto, 2012. "Productivity effects of ICTs and organizational change: A test of the complementarity hypothesis in Spain," MPRA Paper 40400, University Library of Munich, Germany.
    14. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    15. Patrizio, P. & Leduc, S. & Chinese, D. & Kraxner, F., 2017. "Internalizing the external costs of biogas supply chains in the Italian energy sector," Energy, Elsevier, vol. 125(C), pages 85-96.
    16. Giacomello, Giampiero & Picci, Lucio, 2003. "My scale or your meter? Evaluating methods of measuring the Internet," Information Economics and Policy, Elsevier, vol. 15(3), pages 363-383, September.
    17. António Madureira & Nico Baken & Harry Bouwman, 2011. "Value of digital information networks: a holonic framework," Netnomics, Springer, vol. 12(1), pages 1-30, April.
    18. Zand, Fardad & Van Beers, Cees & Van Leeuwen, George, 2011. "Information technology, organizational change and firm productivity: A panel study of complementarity effects and clustering patterns in Manufacturing and Services," MPRA Paper 46469, University Library of Munich, Germany.
    19. repec:dgr:rugggd:gd-79 is not listed on IDEAS
    20. Luigi Benfratello & Tiziano Razzolini & Alessandro Sembenelli, 2009. "Does ICT Investment Spur or Hamper Offshoring? Empirical Evidence from Microdata," Working papers 05, Former Department of Economics and Public Finance "G. Prato", University of Torino.
    21. Bronwyn H. Hall & Francesca Lotti & Jacques Mairesse, 2013. "Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(3), pages 300-328, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:epplan:v:77:y:2019:i:c:s0149718919301922. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/evalprogplan .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.