Designing a Model for the Implementation of Fourth-Generation Banking in Iran Using the Fuzzy Delphi Method and Interpretive Structural Modeling

The primary objective of this study is to design a model for the implementation of fourth-generation banking in Iran using the Fuzzy Delphi method and Interpretive Structural Modeling (ISM). This research is applied in terms of purpose and descriptive in terms of nature and methodology. Additionally, this study employs a mixed-methods approach, utilizing the Fuzzy Delphi method in the qualitative phase and Interpretive Structural Modeling in the quantitative phase for analysis. The study participants consisted of university professors and experts in the banking sector. In the qualitative phase, twelve individuals were selected as panel members using purposive sampling. Following the completion of three rounds of the Delphi method, the key variables for implementing fourth-generation banking in Iran were identified. In the quantitative phase, another twelve individuals were selected as the sample, and a questionnaire was distributed among them. Microsoft Excel was used for data analysis in this study. The results of the qualitative analysis, based on the three rounds of the Delphi method, indicated that out of 38 variables initially identified through theoretical foundations and literature review for implementing fourth-generation banking in Iran, 31 variables were ultimately selected by the panel members as the most critical factors. Furthermore, the results of Interpretive Structural Modeling placed these 31 variables into nine levels. Consequently, the model for implementing fourth-generation banking in Iran in this study consists of nine levels. Based on the findings of the model design, it is recommended that special attention be given to the first level (strategic advantages) and the ninth level (information and communication technology infrastructure), as these levels exhibit the highest degree of influence and susceptibility.