IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v11y2020i6d10.1007_s13198-020-00962-3.html
   My bibliography  Save this article

Modeling and analyzing project interdependencies in project portfolios using an integrated social network analysis-fuzzy TOPSIS MICMAC approach

Author

Listed:
  • Helal Zaabi

    (University of Sharjah)

  • Hamdi Bashir

    (University of Sharjah)

Abstract

Despite academics’ and practitioners’ increasing focus on project portfolio management over the last three decades, very few methods and tools have been proposed for modeling and analyzing interdependencies among projects within a portfolio. This paper proposes the use of a novel approach that integrates three techniques: social network analysis (SNA), fuzzy technique for order of preference by similarity to ideal solution (TOPSIS), and cross-impact matrix multiplication applied to classification (MICMAC). Network mapping provides project managers with a holistic view of interdependencies among projects; fuzzy TOPSIS MICMAC and SNA measures are used to classify projects in terms of their driving power and dependence power and out- and in-degree centrality. This categorization offers a helpful tool for project managers to distinguish among projects and classify them based on their interdependency levels, and thus, aids in identifying critical projects. For the demonstration, the approach is applied to model and analyze interdependencies between projects within a real-life portfolio from the industry. The results of this application show that the proposed approach can serve as a viable and practical means of capturing and analyzing interdependencies among projects within a portfolio.

Suggested Citation

  • Helal Zaabi & Hamdi Bashir, 2020. "Modeling and analyzing project interdependencies in project portfolios using an integrated social network analysis-fuzzy TOPSIS MICMAC approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1083-1106, December.
  • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:6:d:10.1007_s13198-020-00962-3
    DOI: 10.1007/s13198-020-00962-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-020-00962-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-020-00962-3?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. 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.
    2. Kopmann, Julian & Kock, Alexander & Killen, Catherine & Gemünden, Hans Georg, 2017. "The role of project portfolio management in fostering both deliberate and emergent strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 92881, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Liesiö, Juuso & Mild, Pekka & Salo, Ahti, 2008. "Robust portfolio modeling with incomplete cost information and project interdependencies," European Journal of Operational Research, Elsevier, vol. 190(3), pages 679-695, November.
    4. Vishal Ashok Bhosale & Ravi Kant, 2016. "An integrated ISM fuzzy MICMAC approach for modelling the supply chain knowledge flow enablers," International Journal of Production Research, Taylor & Francis Journals, vol. 54(24), pages 7374-7399, December.
    5. Kopmann, Julian & Kock, Alexander & Killen, Catherine & Gemünden, Hans Georg, 2015. "Business Case Control in Project Portfolios - An Empirical Investigation of Performance Consequences and Moderating Effects," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 76146, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Colvin, Matthew & Maravelias, Christos T., 2011. "R&D pipeline management: Task interdependencies and risk management," European Journal of Operational Research, Elsevier, vol. 215(3), pages 616-628, December.
    7. Formentini, Marco & Romano, Pietro, 2011. "Using value analysis to support knowledge transfer in the multi-project setting," International Journal of Production Economics, Elsevier, vol. 131(2), pages 545-560, June.
    8. Teller, Juliane & Unger, Barbara & Kock, Alexander & Gemünden, Hans Georg, 2012. "Formalization of Project Portfolio Management: The Moderating Role of Portfolio Complexity," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63283, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Alan D. Meyer, 1991. "Visual Data in Organizational Research," Organization Science, INFORMS, vol. 2(2), pages 218-236, May.
    10. Eilat, Harel & Golany, Boaz & Shtub, Avraham, 2006. "Constructing and evaluating balanced portfolios of R&D projects with interactions: A DEA based methodology," European Journal of Operational Research, Elsevier, vol. 172(3), pages 1018-1039, August.
    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. José Claudio Isaias & Pedro Paulo Balestrassi & Guilherme Augusto Barucke Marcondes & Wesley Vieira da Silva & Carlos Henrique Pereira Mello & Claudimar Pereira da Veiga, 2021. "Project Portfolio Selection of Solar Energy by Photovoltaic Generation Using Gini-CAPM Multi-Criteria and Considering ROI Covariations," Energies, MDPI, vol. 14(24), pages 1-21, December.

    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. Fahime Lotfian Delouyi & Seyed Hassan Ghodsypour & Maryam Ashrafi, 2021. "Dynamic Portfolio Selection in Gas Transmission Projects Considering Sustainable Strategic Alignment and Project Interdependencies through Value Analysis," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    2. Theresa Eckert & Stefan Hüsig, 2022. "Innovation portfolio management: a systematic review and research agenda in regards to digital service innovations," Management Review Quarterly, Springer, vol. 72(1), pages 187-230, February.
    3. 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.
    4. Jugend, Daniel & da Silva, Sérgio Luis & Salgado, Manoel Henrique & Miguel, Paulo Augusto Cauchick, 2016. "Product portfolio management and performance: Evidence from a survey of innovative Brazilian companies," Journal of Business Research, Elsevier, vol. 69(11), pages 5095-5100.
    5. Ali Tlili & Oumaima Khaled & Vincent Mousseau & Wassila Ouerdane, 2023. "Interactive portfolio selection involving multicriteria sorting models," Annals of Operations Research, Springer, vol. 325(2), pages 1169-1195, June.
    6. Christian Meier & Dennis Kundisch & Jochen Willeke, 2017. "Is it Worth the Effort?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(2), pages 81-95, April.
    7. Sameer Bathallath & Åsa Smedberg & Harald Kjellin, 2019. "The Viable System Model for Diagnosing and Handling IT-Project Interdependencies in Large Portfolios," International Journal of Information Technology Project Management (IJITPM), IGI Global, vol. 10(1), pages 72-87, January.
    8. Gupta, Nitish & Park, Hyunkyu & Phaal, Rob, 2022. "The portfolio planning, implementing, and governing process: An inductive approach," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    9. Olga Kokshagina & Pascal Le Masson & Benoit Weil, 2015. "Portfolio management in double unknown situations: technological platformsand the role of cross-application managers," Post-Print hal-01199929, HAL.
    10. Mariusz Hofman & Seweryn Spalek & Grzegorz Grela, 2017. "Shedding New Light on Project Portfolio Risk Management," Sustainability, MDPI, vol. 9(10), pages 1-19, October.
    11. Liesiö, Juuso & Salo, Ahti & Keisler, Jeffrey M. & Morton, Alec, 2021. "Portfolio decision analysis: Recent developments and future prospects," European Journal of Operational Research, Elsevier, vol. 293(3), pages 811-825.
    12. Dimakopoulou, Andriana G. & Pramatari, Katerina C. & Tsekrekos, Andrianos E., 2014. "Applying real options to IT investment evaluation: The case of radio frequency identification (RFID) technology in the supply chain," International Journal of Production Economics, Elsevier, vol. 156(C), pages 191-207.
    13. Mavrotas, George & Makryvelios, Evangelos, 2021. "Combining multiple criteria analysis, mathematical programming and Monte Carlo simulation to tackle uncertainty in Research and Development project portfolio selection: A case study from Greece," European Journal of Operational Research, Elsevier, vol. 291(2), pages 794-806.
    14. Kosztyán, Zsolt T. & Katona, Attila I. & Kuppens, Kurt & Kisgyörgy-Pál, Mária & Nachbagauer, Andreas & Csizmadia, Tibor, 2022. "Exploring the structures and design effects of EU-funded R&D&I project portfolios," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    15. Christian Meier, 2015. "Identifying Output Interactions Among Is Projects - A Text Mining Approach," Working Papers Dissertations 20, Paderborn University, Faculty of Business Administration and Economics.
    16. Fliedner, Thomas & Liesiö, Juuso, 2016. "Adjustable robustness for multi-attribute project portfolio selection," European Journal of Operational Research, Elsevier, vol. 252(3), pages 931-946.
    17. Vilkkumaa, Eeva & Liesiö, Juuso & Salo, Ahti, 2014. "Optimal strategies for selecting project portfolios using uncertain value estimates," European Journal of Operational Research, Elsevier, vol. 233(3), pages 772-783.
    18. Jahangoshai Rezaee, Mustafa & Jozmaleki, Mehrdad & Valipour, Mahsa, 2018. "Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 78-93.
    19. Baker, Erin & Bosetti, Valentina & Salo, Ahti, 2016. "Finding Common Ground when Experts Disagree: Belief Dominance over Portfolios of Alternatives," MITP: Mitigation, Innovation and Transformation Pathways 243147, Fondazione Eni Enrico Mattei (FEEM).
    20. 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).

    More about this item

    Keywords

    Projects portfolio management; Project interdependencies; Social network; Visual tools; Fuzzy TOPSIS; Integrated network-fuzzy cross-impact matrix multiplication analysis (MICMAC);
    All these keywords.

    JEL classification:

    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis

    Statistics

    Access and download statistics

    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:spr:ijsaem:v:11:y:2020:i:6:d:10.1007_s13198-020-00962-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.