Identifying the success factors of technology- oriented startups in solving the challenges of iran fintech industrial

The main goal of the current research is to identify the success factors of technology-oriented startups in solving the challenges of Iran's fintech industry.

This research has been done in the framework of a mixed approach and using the foundational data method.  The collection tool in the qualitative section was selected from the sample by conducting a semi-structured interview.  The studied community were experts, members of scientific life and founders of startups in the fintech industry. The purposeful sampling method and the selection of the sample according to the snowball process proceeded until the theoretical saturation was reached and 22 people were selected as the sample. Strauss and Corbin method was used for data analysis in the qualitative part.  For the validity and reliability of the questions, the matching method by the members and the intra-subject agreement method were used. 

The findings of the research show that the causal conditions include (focusing on the real needs of customers, the use of advanced technologies,...), the central phenomenon including (the success of technology-oriented startups in solving the challenges of Iran's fintech industry), the background conditions including (governance support and creating appropriate business environment, development of talents and specialized human resources, ...), intervening conditions including (governance and legal support, development of specialized human resources, ...), strategies including (improving the technological capabilities of startups in the field of fintech, creating specialized capital markets for  Attracting investment,...), the consequences include (development and sustainable growth of fintech industry in Iran, improving the quality and efficiency of financial and payment services,...). AHP technique has been used to analyze the data in the quantitative part of the paired scale.

The results of this section indicate that the creation of specialized capital markets to attract investment with (0.951) has the highest score and the implementation of programs to attract and retain technologist talents with (0.147) have received the lowest score.