원문정보
초록
영어
In this paper, we investigate the mediating role of artificial intelligence (AI)-based technologies in the relationship between entrepreneurial characteristics and career intentions, focusing on the entrepreneurial and employment intentions of undergraduate design students. Results indicate that innovation, autonomy, and proactiveness significantly enhance AI utilization skills, which are, in turn, strongly associated with employment intention. Innovation emerged as the most influential trait for entrepreneurial intention, with proactiveness and risk-taking playing smaller roles. Notably, AI skills had the strongest impact on employment intention, suggesting that technological proficiency enhances employability within design fields. Moreover, AI utilization skills acted as a mediator between entrepreneurial traits and employment intention, underscoring the role of AI in bridging entrepreneurial attributes with career outcomes. These findings highlight the importance of integrating AI skill development into educational programs for students. Supporting both entrepreneurial and AI competencies prepares students for career flexibility, whether in entrepreneurship or traditional employment, and enhances their competitiveness in creative and tech-driven industries.
목차
1. Introduction
1.1 Background and Motivation
1.2 Research Objectives and Scope
2. Theoretical Background and Research Methodology
2.1 The Concept and Components of Entrepreneurship
2.2 Importance of AI Utilization Skills
2.3 Conceptual Framework of Entrepreneurial and Employment Intentions
2.4 Hypothesis Development
2.5 Research Design and Sampling
2.6 Measurement Instruments and Variable Definitions
2.7 Data Collection
2.8 Data Analysis Methods
2.9 Research Model
3. Results and Discussion
3.1 Descriptive Statistical Analysis
3.2 Validity and Reliability Analysis
3.3 Correlation Analysis
3.4 Mediation Effect of AI Utilization on Entrepreneurial Intention
3.5 Mediation Effect Test on Employment Intention
4. Conclusion
4.1 Summary of Key Findings
4.2 Implications
4.3 Limitations and Future Research Directions
4.4 Future Research Directions
References