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The Role of Self-Efficacy in Mediating Entrepreneurship Education and Learning Experiences on Entrepreneurial Intention Maha Putra; Suryana; Hari Mulyadi; Suwatno; Maha Putra
Jurnal Pendidikan dan Pengajaran Vol 59 No 1 (2026): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jpp.v59i1.108672

Abstract

Although entrepreneurship education has been widely integrated into higher education, students’ entrepreneurial intention levels remain relatively low. This study aims to analyze the mediating role of self-efficacy in the relationship between entrepreneurship education, learning experiences, and entrepreneurial intentions among university students. This study employed a quantitative design with a descriptive-correlational approach and a cross-sectional method. The research population consisted of 380 undergraduate students. Data were collected through structured online questionnaires. The research instruments measured the variables of entrepreneurship education, learning experiences, self-efficacy, and entrepreneurial intentions using a five-point Likert scale. Data analysis was conducted using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method. The results showed that entrepreneurship education and learning experiences had a direct and significant effect on both self-efficacy and entrepreneurial intentions. Self-efficacy was also found to have a direct and significant influence on entrepreneurial intentions and to serve as a significant mediator in the relationship between entrepreneurship education and entrepreneurial intentions, as well as between learning experiences and entrepreneurial intentions. Based on these findings, this study concludes that entrepreneurship education should not merely focus on knowledge transfer, but should also emphasize experiential, reflective, and practical learning that can systematically strengthen students’ self-efficacy. The results of this study have important implications for higher education institutions and policymakers in designing more effective entrepreneurship programs to foster students’ entrepreneurial intentions.
The Transformation Of Entrepreneurial Opportuniy Recognition Through Artificial Intelligence: A Systematic Review Rena Yuliana; Suryana; Suwatno; Mokh Adib Sultan
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol. 10 No. 01 (2026): JHSS (Journal of Humanities and Social Studies) (SI)
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jhss.v10i01.405

Abstract

The development of artificial intelligence (AI) has brought fundamental changes to the entrepreneurial process, particularly in the stage of entrepreneurial opportunity recognition. Although the literature on AI and entrepreneurship continues to grow, an integrated understanding of how AI transforms the opportunity recognition process remains fragmented. Therefore, this study aims to systematically examine the role of AI in transforming entrepreneurial opportunity recognition through a Systematic Literature Review (SLR) approach. This research follows the PRISMA guidelines by analyzing 40 reputable journal articles published between 2015 and 2025 and sourced from the Scopus, Web of Science, and Google Scholar databases. The analysis employs a thematic synthesis approach to identify key patterns, mechanisms, and implications of AI integration in opportunity recognition. The synthesis results reveal four main themes: (1) AI as an enabler in detecting patterns and latent opportunities, (2) the transformation of entrepreneurial cognition toward a human–machine hybrid model, (3) enhanced opportunity validation and reduced uncertainty through predictive analytics, and (4) ethical challenges and risks of algorithmic dependence. This study contributes theoretically by expanding the understanding of opportunity recognition in the context of digital entrepreneurship and practically by providing implications for entrepreneurs and policymakers in managing the strategic and responsible use of AI.