نوع مقاله : مقاله پژوهشی
عنوان مقاله English
نویسندگان English
In this research, the presentation of a systemic model of the social banking innovation process with a digital transformation approach has been investigated with the aim of identifying the most important dimensions and related components. In this regard, after reviewing the literature, an in-depth interview was conducted with 16 experts in the field of social banking, and the most important dimensions and components were extracted. Then a questionnaire was designed and given to experts and managers of the banking industry. Adaptive neural-fuzzy inference system (ANFIS) was used to validate the predicted model. The results show that the most important dimensions affecting the social banking innovation process model with digital transformation approach are: laws and policies, innovative approach, security, the structure of the banking industry, social factors and the infrastructure of digital transformation, also considering the error obtained and the absence of over-adaptation phenomenon in ANFIS, the said model has high validity and power for prediction.
کلیدواژهها English
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