Evaluation of Financial Technology (FinTech) Indicators Using a Mixed-Methods Approach in the Banking Industry

The purpose of this study is to evaluate the indicators of Financial Technologies (FinTech) using a mixed-methods approach in the banking industry. This research is applied in nature and descriptive-analytical in terms of methodology, conducted through a cross-sectional survey. The research employs an exploratory mixed-method approach, combining qualitative (Delphi method) and quantitative (Importance-Performance Analysis) techniques. The statistical population of the study consists of two groups: the qualitative group includes banking experts with doctoral degrees in financial management and information and communication technology, while the quantitative group comprises an unlimited number of customers from the banking industry. A purposive sampling method was used, with a sample size of ... determined for the qualitative group, and 384 participants for the quantitative group based on Cochran’s formula. Based on semi-structured interviews, the desired components were identified using thematic analysis. In the quantitative section, partial least squares (PLS) regression was used to determine the relationships between variables and their associated importance coefficients, with Importance-Performance Matrix Analysis used for component ranking. Based on Delphi results, a researcher-made questionnaire was applied in the quantitative phase. Excel software was used in the qualitative section, while SMARTPLS was utilized in the quantitative phase. Banks' goals and planning based on FinTech, considering the rapid changes in the market and customer needs, should be designed to adapt to these changes and innovations. Strategic planning based on FinTech helps banks to remain flexible in the face of new market challenges and opportunities, paving the way for their success. The purpose of this study is to evaluate the indicators of Financial Technologies (FinTech) using a mixed-methods approach in the banking industry. This research is applied in nature and descriptive-analytical in terms of methodology, conducted through a cross-sectional survey. The research employs an exploratory mixed-method approach, combining qualitative (Delphi method) and quantitative (Importance-Performance Analysis) techniques. The statistical population of the study consists of two groups: the qualitative group includes banking experts with doctoral degrees in financial management and information and communication technology, while the quantitative group comprises an unlimited number of customers from the banking industry. A purposive sampling method was used, with a sample size of ... determined for the qualitative group, and 384 participants for the quantitative group based on Cochran’s formula. Based on semi-structured interviews, the desired components were identified using thematic analysis. In the quantitative section, partial least squares (PLS) regression was used to determine the relationships between variables and their associated importance coefficients, with Importance-Performance Matrix Analysis used for component ranking. Based on Delphi results, a researcher-made questionnaire was applied in the quantitative phase. Excel software was used in the qualitative section, while SMARTPLS was utilized in the quantitative phase. Banks' goals and planning based on FinTech, considering the rapid changes in the market and customer needs, should be designed to adapt to these changes and innovations. Strategic planning based on FinTech helps banks to remain flexible in the face of new market challenges and opportunities, paving the way for their success.

Evaluation of Financial Technology (FinTech) Indicators Using a Mixed-Methods Approach in the Banking Industry Keywords:

Financial technologies (Fintech) , Mixed-Methods Approach , Banking Industry