A Relational Analysis of Artificial Intelligence, Entrepreneurship, and Some Demographic Variables

A Relational Analysis of Artificial Intelligence, Entrepreneurship, and Some Demographic Variables

Senem Gürkan, Volkan Duran
Copyright: © 2024 |Pages: 32
DOI: 10.4018/979-8-3693-7658-4.ch001
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Abstract

The aim of this research is to examine the effect of university students' entrepreneurial tendencies on their attitudes towards digital technology according to some variables. In this quantitative research, relational analysis model was conducted to the data obtained from the students of Ondokuz Mayıs University. Individual entrepreneurship orientation scale and attitude scale for digital technology were used as data collection tools. Results indicate no significant gender differences in entrepreneurial tendencies or digital technology attitudes. Two student clusters were identified, highlighting interest in technology as a key differentiator. These findings suggest that both entrepreneurial skills and technological competence should be integrated into higher education curricula to cater to distinct student profiles effectively. Future research should explore the causal mechanisms and variations across different cultural and academic contexts.
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