Template-Type: ReDIF-Article 1.0
Author-Name: Parviz Saeidi
Author-Name-First: Parviz
Author-Name-Last: Saeidi
Author-Email: saeedi-p@aliabadiau.ac.ir
Author-Workplace-Name: Department of Accounting, AK.C., Islamic Azad University, Aliabad Katoul, Iran
Author-Name: Ali Zamani
Author-Name-First: Ali
Author-Name-Last: Zamani
Author-Email: alizamani9015@iau.ac.ir
Author-Workplace-Name: Department of Entrepreneurship, AK.C., Islamic Azad University, Aliabad Katoul, Iran
Author-Name: Elahe Masoumi
Author-Name-First: Elahe
Author-Name-Last: Masoumi
Author-Email: elahemasoumi@iau.ac.ir
Author-Workplace-Name: Department of management, AK.C., Islamic Azad University, Aliabad Katoul, Iran
Title: Presenting the development model of a new banking business model with a digital banking approach
Abstract: The growing trend of moving towards digital banking has doubled the need to pay attention to digital product development, and the need to develop a framework seems necessary. Therefore, the purpose of this research is to develop a new banking business model with a digital banking approach. The current research is a mixed exploratory research and is a qualitative-quantitative type of study and is applied in terms of purpose. The strategy used in this research is the foundational data conceptualization theory. The statistical population of the research is bank managers of different levels and university professors who have enough experience in the field of new digital product development. The sampling approach is purposeful and continued until reaching theoretical saturation. In this way, the required theoretical saturation was achieved with a sample of 15 people. Strauss and Corbin method with three coding techniques: open coding, axial coding and selective coding was used to analyze the data. After coding and analyzing data using Maxqda software, 21 categories were identified and 126 concepts were identified based on classification and their relationship with components. Finally, after analyzing the results with Amos software, the model fitting was done and the results of the quantitative part confirm the findings of the qualitative part, and it was found that the selection of concepts, dimensions and indicators is highly accurate and can be a suitable framework. Provide for the development of the vision document of digital banking.
Classification-JEL: JEL
Keywords: banking; digital banking; banking business
Journal: International Journal of Resistive Economics
Pages: 22-42
Volume: 13
Issue: 3
Year: 2025
Month: July
DOI: 10.22034/oajre.2025.531435.1122
File-URL: https://www.oajre.ir/article_228794_9e5b606b552d232b5b81679471aea9db.pdf
File-Format: Application/pdf
File-Function: Full text
File-URL: https://www.oajre.ir/article_228794.html
File-Format: text/html
File-Function: Abstract page
Handle: RePEc:trd:journl:228794