Volume 10, Issue 30 (9-2023)
3 2023, 10(30): 1-13 |
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Noorallahnafarli S, Farshad M. Identifying and Evaluating Factors Affecting the Acceptance of Neobanks in Iran. 3 2023; 10 (30) :1-13
URL: http://jnraims.ir/article-1-347-en.html
URL: http://jnraims.ir/article-1-347-en.html
Master's degree in financial management, Islamic Azad University, Electronics Department
Abstract: (228 Views)
The current research was conducted with the aim of identifying and evaluating the factors affecting the acceptance of neo-banks in Iran. In terms of purpose, this research is practical, and in terms of the method of data collection, it is among field researches and in terms of strategy, it is a survey. In this research, the current state of the model components was examined and the research model was validated. The statistical population of this research is made up of all customers of Saman Bank in Iran. According. Because in this research, the structural equation model was used for data analysis, and thus we need a minimum of 200 people, in this research, 354 people were selected as a sample using the stratified random sampling method. The most important methods and tools for collecting information in this research are library studies and field research. Descriptive and inferential statistics methods have been used to perform the analyzes according to the items obtained from the research indicators. Also, in order to describe the variables of the research, mean, standard deviation, skewness and kurtosis are used. It should be noted that operations related to descriptive statistics were performed using Spss-21 software. In the inferential part, tests such as the sample T-Tech test and structural equation modeling (confirmatory factor analysis) using SPSS-v21, Smart Pls-v3 software have also been used. Investigations showed that the factors affecting the acceptance of neobanks in Iran include 5 components: psychological factors, personal factors, operational factors, specialized factors and perceptual factors. Also, in examining the priority of the components, the results of examining factor loadings showed that perceptual factors have the greatest impact on technology acceptance.
Type of Study: Research |
Subject:
General
Received: 2024/04/2 | Accepted: 2023/09/1 | Published: 2023/09/1
Received: 2024/04/2 | Accepted: 2023/09/1 | Published: 2023/09/1
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