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Risk identification and prioritization in banking projects of payment service provider companies: an empirical study

Author

Listed:
  • Mohammad Khalilzadeh

    (CENTRUM Católica Graduate Business School
    Pontificia Universidad Católica del Perú)

  • Laleh Katoueizadeh

    (Islamic Azad University)

  • Edmundas Kazimieras Zavadskas

    (Vilnius Gediminas Technical University, Institute of Sustainable Construction)

Abstract

Identifying risks and prioritizing is important for payment service provider (PSP) companies to get banking projects and gain more market share. However, studies regarding the identification of risks and causal relationships are insufficient in the Iranian PSP industry and the industry is unique because of its characteristics. In this study, 30 experts involved with PSP companies are employed as the research sample. Eleven key risks and Forty-six sub-risks are also identified. Subsequently, the fuzzy decision-making trial and evaluation laboratory technique is applied to determine the effective and affected risks and the severity of their effects on each other. Finally, all risks are ranked. Due to the internal interrelationships of the main risks, the weight of each risk is calculated via the fuzzy analytic network process. As the second-level risks have no significant interrelationships, they are ranked via the fuzzy analytical hierarchy process. Moreover, the best-worst method is used to ensure that the obtained rankings are reliable. This study identifies the risks affecting the loss of banking projects and determines the impacts of these risks on each. A sensitivity analysis is then conducted on the weights of the criteria, and the results are compared.

Suggested Citation

  • Mohammad Khalilzadeh & Laleh Katoueizadeh & Edmundas Kazimieras Zavadskas, 2020. "Risk identification and prioritization in banking projects of payment service provider companies: an empirical study," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-27, December.
    • Handle: RePEc:spr:fobric:v:14:y:2020:i:1:d:10.1186_s11782-020-00083-5
    DOI: 10.1186/s11782-020-00083-5
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    2. Alin Opreana & Simona Vinerean & Diana Marieta Mihaiu & Liliana Barbu & Radu-Alexandru Șerban, 2023. "Fuzzy Analytic Network Process with Principal Component Analysis to Establish a Bank Performance Model under the Assumption of Country Risk," Mathematics, MDPI, vol. 11(14), pages 1-38, July.
    3. Ali Aghazadeh Ardebili & Elio Padoano & Antonella Longo & Antonio Ficarella, 2022. "The Risky-Opportunity Analysis Method (ROAM) to Support Risk-Based Decisions in a Case-Study of Critical Infrastructure Digitization," Risks, MDPI, vol. 10(3), pages 1-22, February.

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