The Moderating Effect of Data Mining on the Relationship Between Social Entrepreneurship and Sustainable Development. "Applied study on Entrepreneurship Business Organizations in the Tabuk Region"

Abstract

Social entrepreneurship primarily aims to serve the community and public interest, enhancing social and environmental objectives. Social entrepreneurs focus on creating societal capital. This study aimed to identify the moderating effect of data mining on the relationship between social entrepreneurship and sustainable development, an applied study on entrepreneurial business organizations in the Tabuk region. The researcher employed a descriptive analytical method and utilized a questionnaire as the tool for collecting data. A total of 250 questionnaires were distributed, and 220 were used for data analysis.  The survey questionnaire was the main strategy for collecting and analyzing primary data to investigate the relationships between variables. The results indicate that data mining positively moderates  relationship on the Relationship Between Social Entrepreneurship and Sustainable Development  in Entrepreneurship Business Organizations ,  and ther are afect ocial Entrepreneurship and Sustainable Development  on Entrepreneurship Business Organizations in the Tabuk. The results indicate that data mining positively moderates this relationship, supporting the hypothesis.in this study There were several suggestions made: Invest in Data Mining Technology: Organizations and social entrepreneurs in the Tabuk Region should give data mining technology top priority when making investments. By employing cutting-edge data analytic approaches to better understand market trends, community needs, and program efficacy, they can maximize their efforts toward sustainable development objectives.