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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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    as
    1. Heitz-Spahn, Sandrine, 2013. "Cross-channel free-riding consumer behavior in a multichannel environment: An investigation of shopping motives, sociodemographics and product categories," Journal of Retailing and Consumer Services, Elsevier, vol. 20(6), pages 570-578.
    2. Gisela Wachinger & Ortwin Renn & Chloe Begg & Christian Kuhlicke, 2013. "The Risk Perception Paradox—Implications for Governance and Communication of Natural Hazards," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1049-1065, June.
    3. Sachin K. Patil & Ravi Kant, 2014. "Predicting the success of knowledge management adoption in supply chain using fuzzy DEMATEL and FMCDM approach," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 6(1), pages 75-93.
    4. Sandrine Heitz-Spahn, 2013. "Cross-channel free-riding consumer behavior in a multichannel environment: An investigation of shopping motives, sociodemographics and product categories," Post-Print hal-01369291, HAL.
    5. Thomas L. Saaty & Luis G. Vargas, 2006. "Decision Making with the Analytic Network Process," International Series in Operations Research and Management Science, Springer, number 978-0-387-33987-0, September.
    6. Huiyue Diao & Majid Ghorbani, 2018. "Production risk caused by human factors: a multiple case study of thermal power plants," Frontiers of Business Research in China, Springer, vol. 12(1), pages 1-27, December.
    7. Yeh, Tsu-Ming & Huang, Yu-Lang, 2014. "Factors in determining wind farm location: Integrating GQM, fuzzy DEMATEL, and ANP," Renewable Energy, Elsevier, vol. 66(C), pages 159-169.
    8. Wen‐Hsien Tsai & Yu‐Wei Chou & Kuen‐Chang Lee & Wan‐Rung Lin & Elliott T.Y. Hwang, 2013. "Combining Decision Making Trial and Evaluation Laboratory with Analytic Network Process to Perform an Investigation of Information Technology Auditing and Risk Control in an Enterprise Resource Planni," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(2), pages 176-193, March.
    9. Negin Salimi, 2017. "Quality assessment of scientific outputs using the BWM," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 195-213, July.
    10. Rahman Soofifard & Mohsen Ebrahimi & Morteza Khakzar Bafruei, 2017. "Risk assessment of construction projects by using combined model of analytical network process and DEMATEL method," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 28(1), pages 1-25.
    11. Gholamreza Dehdasht & Rosli Mohamad Zin & M. Salim Ferwati & Mu’azu Mohammed Abdullahi & Ali Keyvanfar & Ronald McCaffer, 2017. "DEMATEL-ANP Risk Assessment in Oil and Gas Construction Projects," Sustainability, MDPI, vol. 9(8), pages 1-24, August.
    12. Sandrine Heitz-Spahn, 2013. "Cross-channel free-riding consumer behavior in a multichannel environment: An investigation of shopping motives, sociodemographics and product categories," Post-Print hal-03010102, HAL.
    13. Saaty, Thomas L. & Takizawa, Masahiro, 1986. "Dependence and independence: From linear hierarchies to nonlinear networks," European Journal of Operational Research, Elsevier, vol. 26(2), pages 229-237, August.
    14. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    15. Safar Fazli & Reza Kiani & Mohammadali Vosooghidizaji, 2015. "Crude oil supply chain risk management with DEMATEL–ANP," Post-Print hal-02327343, HAL.
    16. Thomas L. Saaty, 2006. "The Analytic Network Process," International Series in Operations Research & Management Science, in: Decision Making with the Analytic Network Process, chapter 0, pages 1-26, Springer.
    17. von der Gracht, Heiko A., 2012. "Consensus measurement in Delphi studies," Technological Forecasting and Social Change, Elsevier, vol. 79(8), pages 1525-1536.
    18. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    19. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
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    3. Ahmad Jafari Ghezelhesar & Ali Bozorgi-Amiri, 2022. "A novel approach to selection of resilient measures portfolio under disruption and uncertainty: a case study of e-payment service providers," Operational Research, Springer, vol. 22(5), pages 5477-5527, November.

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