Identifying and prioritizing investment risks in digital markets using multi-criteria decision making techniques and data mining

  • Pourya Pourkhosravani Department of Management, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran
  • Siavash Safdarpour Department of Management, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran
  • Mohammad Taghipour Sohrevardi Institute of Higher Education, Qazvin 4641334147, Iran
Keywords: investment risk; digital markets; AHP; data mining
Article ID: 30

Abstract

The ever-increasing advancement of technology and the adaptation of the common people’s lifestyle have led to the emergence of digital markets and the removal of restrictions such as physical presence, specific working hours, etc. Investing in digital markets, as it can be more profitable (compared to previous methods), is also associated with many risks. In this research, the importance of multi-criteria decision-making and data mining and the need to use them in investing in digital markets were investigated. The statistical population of this research was collected over a period of 5 years during the years 2017–2022. For this purpose, SPSS software, the AHP technique, and data mining were used. The research results showed that both in the AHP method and in the data mining method, the receiving and payment portals are the most important.

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Published
2023-10-25
How to Cite
Pourkhosravani, P., Safdarpour, S., & Taghipour, M. (2023). Identifying and prioritizing investment risks in digital markets using multi-criteria decision making techniques and data mining. Sustainable Economies, 1(1), 30. https://doi.org/10.62617/se.v1i1.30
Section
Article