Dataset on Digital Financial Inclusion and Artificial Intelligence: A Structural Equation Modeling (SEM) Approach
Description
This data is the Excel format of the survey dataset generated from the fieldwork on Digital financial inclusion and Artificial intelligence. The responses from the respondents have been coded with a five-point Linkert scale. The data was used to measure the impact of artificial intelligence applications on digital financial inclusion. The data set tests the hypothesis that artificial intelligence applications have significantly influenced digital financial inclusion among commercial banks particularly in South West Nigeria. Thus, it measures whether there exists a significant relationship between the adoption and utilization of artificial intelligence applications and its significant role in the promotion of digital financial inclusion with much focus in remote areas. The data is saved in both Excel format.
Files
Steps to reproduce
This data is the Excel format of the survey dataset generated from the fieldwork on Digital financial inclusion and Artificial intelligence. The responses from the respondents have been coded with a five-point Linkert scale. The data was used to measure the impact of artificial intelligence applications on digital financial inclusion. The data set tests the hypothesis that artificial intelligence applications have significantly influenced digital financial inclusion among commercial banks particularly in Southwest Nigeria. Thus, it measures whether there exists a significant relationship between the adoption and utilization of artificial intelligence applications and its significant role in the promotion of digital financial inclusion with much focus in remote areas. The data saved in Excel format is imported into Statistical Package for Social Science (SPSS) for statistical analysis using AMOS extension.