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Determinants of the Effectiveness of Risk Management in the Project Portfolio in the FinTech Industry

Author

Listed:
  • Oliwia Khalil-Oliwa

    (Faculty of Organization and Management, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Izabela Jonek-Kowalska

    (Faculty of Organization and Management, Silesian University of Technology, 44-100 Gliwice, Poland)

Abstract

Risk management in the project portfolio can contribute to more effective implementation of the goals of the projects, the portfolio, and the entire organization. However, in the literature on the subject, relatively little attention is paid to the determinants of this process. Moreover, the process course is rarely analyzed in a strategic context relating to the entire organization. For these reasons, this article’s primary goal is to identify the determinants of the effectiveness of risk management in the project portfolio. Research in this area was carried out in the FinTech industry, and the results were analyzed using structural equation modeling. The results indicated that the most important dimensions of the examined effectiveness are the strategic orientation of the organization and the risk management process in the project portfolio. At the level of strategic orientation, this highlights the need for coherence between the organization’s strategy and the project portfolio. At the level of risk management in the project portfolio, the primacy of ownership and control of individual risks is clearly visible.

Suggested Citation

  • Oliwia Khalil-Oliwa & Izabela Jonek-Kowalska, 2024. "Determinants of the Effectiveness of Risk Management in the Project Portfolio in the FinTech Industry," Risks, MDPI, vol. 12(7), pages 1-27, July.
    • Handle: RePEc:gam:jrisks:v:12:y:2024:i:7:p:111-:d:1429183
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    References listed on IDEAS

    as
    1. Izabela Jonek-Kowalska, 2022. "Assessment Model of the Effectiveness of Enterprise Risk Management: A Research Methodology," Springer Books, in: Effectiveness of Enterprise Risk Management, chapter 5, pages 67-79, Springer.
    2. Kun Chang Lee & Namho Lee & Honglei Li, 2009. "A particle swarm optimization‐driven cognitive map approach to analyzing information systems project risk," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(6), pages 1208-1221, June.
    Full references (including those not matched with items on IDEAS)

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