A Model for Implementing New FinTechs in the Banking Industry (Peer-to-Peer Lending)

The aim of the current research is to present a model for the implementation of new fintechs in the banking industry (peer-to-peer lending). The research method is applicable in terms of purpose, mixed (qualitative-quantitative) in terms of implementation, and survey in terms of nature and method. The statistical population of the research was the managers, supervisors and employees of the financial and technological fields of banks, experts and specialists in the fintech field in the country; and according to the principles and rules of the unlimited population, 384 people were selected as a sample. Data collection was done by semi-structured interviews in the qualitative part, and by the researcher-made questionnaire in the quantitative part. Coding and MAXQDA software were used in qualitative part data analysis, and SPSS and AMOS software were used in quantitative part. The results of the qualitative data analysis of the research were categorized as follows: In this regard, the extracted categories were categorized as follows: Causal conditions: organizational learning, system attitude, and information technology. Key conditions: communication capital, human capital, and structural capital. Governing platform: partner banks, external theorists, government, and environmental conditions. Intervening conditions: obstacles and challenges including organizational factors, community conditions, individual factors, and lack of education and research. Strategies: policy making, strategic plan, and employee satisfaction and loyalty. Consequence: knowledge-based policy making, knowledge management, innovation, creativity and idea, and knowledge-based organization. The results of the quantitative part showed that the fit indices of the model indicate the confirmation of the model at the confidence level of 99%.