Identifying and Ranking Factors Affecting Digital Currency FinTech
محورهای موضوعی : International Journal of Finance, Accounting and Economics Studies
majid motamedi
1
(Department of Industrial Management, Nowshahr Branch, Islamic Azad University, Nowshahr, Iran)
mohammad hosein darvish motavali
2
(Department of industrial management, west tehran branch, islamic azad university, tehran, iran. WTIAU)
Mohamad Parsamehr
3
(Department of Industrial Management, West Tehran Branch, Islamic Azad University, Tehran, Iran)
کلید واژه: Fin Tech, Digital Currencies, Fuzzy Hierarchy Technique.,
چکیده مقاله :
The purpose of this research is to identify and rank the factors affecting Fin Tech of digital currencies. The current research is in the field of applied research and based on the nature and method of a descriptive-survey research. Considering that one of the ways of extracting the attitude and experiences of people is to use the qualitative method, in this study, the foundational data theory has been used. The statistical population of the research includes experts and senior managers of the Fin Tech startups association. In order to collect data, a semi-structured interview was used. After implementation, the data were coded in three stages of open, central and selective coding, and qualitative content interpretive analysis method was used in MAXQDA version 10 software to analyze the results. Finally, these factors were weighted and ranked by pair wise comparison method and using 11 Expert choice software. The results of this research showed that the factors affecting Fin Techs of digital currencies are: expectation of effort, expectation of performance, social and cultural influence, and the effects of trust. Also, the results of using the fuzzy hierarchy technique showed that performance expectation is the most important. In the ranking of sub-criteria, "ease of use" was given first priority.
The purpose of this research is to identify and rank the factors affecting Fin Tech of digital currencies. The current research is in the field of applied research and based on the nature and method of a descriptive-survey research. Considering that one of the ways of extracting the attitude and experiences of people is to use the qualitative method, in this study, the foundational data theory has been used. The statistical population of the research includes experts and senior managers of the Fin Tech startups association. In order to collect data, a semi-structured interview was used. After implementation, the data were coded in three stages of open, central and selective coding, and qualitative content interpretive analysis method was used in MAXQDA version 10 software to analyze the results. Finally, these factors were weighted and ranked by pair wise comparison method and using 11 Expert choice software. The results of this research showed that the factors affecting Fin Techs of digital currencies are: expectation of effort, expectation of performance, social and cultural influence, and the effects of trust. Also, the results of using the fuzzy hierarchy technique showed that performance expectation is the most important. In the ranking of sub-criteria, "ease of use" was given first priority.
