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

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.