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Alizadeh, Taher, mousavi kashi, zohreh, Shokri Cheshmeh Sabzi, Azam. (1403). Designing a model of key indicators for evaluating financial technology in Iran's banking industry with Mixed approach. , 9(35), 295-307. doi: 10.30495/ijfma.2023.73975.2033
Taher Alizadeh; zohreh mousavi kashi; Azam Shokri Cheshmeh Sabzi. "Designing a model of key indicators for evaluating financial technology in Iran's banking industry with Mixed approach". , 9, 35, 1403, 295-307. doi: 10.30495/ijfma.2023.73975.2033
Alizadeh, Taher, mousavi kashi, zohreh, Shokri Cheshmeh Sabzi, Azam. (1403). 'Designing a model of key indicators for evaluating financial technology in Iran's banking industry with Mixed approach', , 9(35), pp. 295-307. doi: 10.30495/ijfma.2023.73975.2033
Alizadeh, Taher, mousavi kashi, zohreh, Shokri Cheshmeh Sabzi, Azam. Designing a model of key indicators for evaluating financial technology in Iran's banking industry with Mixed approach. , 1403; 9(35): 295-307. doi: 10.30495/ijfma.2023.73975.2033

Designing a model of key indicators for evaluating financial technology in Iran's banking industry with Mixed approach

International Journal of Finance & Managerial Accounting
دوره 9، شماره 35، دی 2024، صفحه 295-307  XML اصل مقاله (409.18 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.30495/ijfma.2023.73975.2033
نویسندگان
Taher Alizadeh1؛ zohreh mousavi kashi email 1؛ Azam Shokri Cheshmeh Sabzi2
1Department of Management, Karaj Branch, Islamic Azad University, Karaj, Iran
2Assistant Professor, Department of Accounting, Karaj Branch, Islamic Azad University, Karaj, Iran
چکیده
The purpose of this research was to provide a model of key indicators for evaluating financial technology in Iran's banking industry. , In this research, using a mixed-method design, In the qualitative approach, the Delphi method is used, The statistical population in the qualitative section was 12 experts who were selected based on snowball method , The process of data analysis was carried out in two stages, which includes identifying the key indicators of financial technology evaluation in Iran's banking industry through the interview tool and using thematic analysis method and theoretical validation of the research model. In the quantitative part, data were collected using a questionnaire and T-test. The results of the research showed that the key indicators model for evaluating financial technology in Iran's banking industry consists of 20 sub-indices as well as six main indicators including financial technology services, interaction of financial technologies with customers, new business partners, new revenue models, organizational innovation and innovation Technologically .The results of this study allow bank managers to have an integrated plan to improve the existing conditions to increase these factors in their organization
کلیدواژه‌ها
financial technology؛ bank؛ electronic banking؛ theme analysis
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