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All Journal Ilomata International Journal of Social Science Kontigensi: Jurnal Ilmiah Manajemen
Haniruzila Hanifah
Universiti Sains Malaysia
Religion Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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What Drives Entrepreneurial Intention in the Digital Era? Insights from Postgraduate Students Experiencing AI-Based Entrepreneurial Education Sri Yusriani; Haniruzila Hanifah; Endi Rekarti; Shine Pintor Siolemba Patiro; Muji Gunarto
Kontigensi : Jurnal Ilmiah Manajemen Vol 13 No 2 (2025): Kontigensi: Jurnal Ilmiah Manajemen
Publisher : Program Doktor Ilmu Manajemen, Universitas Pasundan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56457/jimk.v13i2.873

Abstract

Entrepreneurial intention (EI) has become a central focus in understanding how students transform learning experiences into entrepreneurial behavior, particularly amid the transition from the Fourth to the emerging Fifth Industrial Revolution. This preliminary study explores the determinants of perceived EI among postgraduate students in Indonesia, emphasizing the mediating role of Entrepreneurial Education on Artificial Intelligence (EEOAIN) as an integral component of the curriculum designed to prepare students for business start-up initiatives. A qualitative approach was employed using semi-structured, one-on-one interviews with eight postgraduate students representing various provinces and disciplines, including management, computer science, and education. The discussions aimed to uncover factors that strengthen entrepreneurial intention and to explore how individual psychological traits: Self-Efficacy (SE), Leadership Skills (LS), Digital Skills (DS), Work Experience (WE), and Perceived Stress (PST), influence EI within the rapidly evolving digital learning ecosystem. The findings reveal that EEOAIN is perceived as a transformative driver that enhances students’ readiness for entrepreneurial activity through exposure to AI-based innovations. Perceived University Support (PUS) and Positive Emotions (POEM) are identified as moderating factors that reinforce entrepreneurial intentions, thereby fostering entrepreneurial development and expanding employment opportunities for Indonesians. PUS acts as an external enabler by providing mentoring, resources, and social capital, while POEM functions as an internal psychological catalyst that promotes resilience and creativity. Collectively, these preliminary insights validate the conceptual model and provide empirical grounding for future quantitative investigations. This study offers initial evidence supporting the integration of technological, institutional, and emotional dimensions in shaping entrepreneurial intentions within higher education in developing-country contexts.
AI and Sustainability-Oriented Teaching: An Exploratory Qualitative Study of Lecturers’ Perspectives from Four Countries Sri Yusriani; Endi Rekarti; Haniruzila Hanifah; Bendaoud Nadif; Muji Gunarto
Ilomata International Journal of Social Science Vol. 7 No. 3 (2026): July 2026
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijss.v7i3.2289

Abstract

This exploratory qualitative study examines how lecturers perceive artificial intelligence (AI) as supporting green behavior in higher education through sustainability-oriented teaching practices, responsible digital use, and institutional adaptation. Although AI adoption, sustainability education, and green behavior have been widely discussed, limited qualitative evidence explains how lecturers interpret the relationship between AI use and sustainability-oriented academic practice. This study clarifies AI-supported green behavior as lecturers’ perceived use of AI to support resource-conscious teaching, digital material optimization, responsible digital practice, ethical academic decision-making, and pedagogical redesign aligned with sustainability values. A qualitative research design was employed using semi-structured interviews with seven lecturers from Indonesia, Malaysia, Denmark, and Morocco. Data were analyzed using thematic analysis. The findings show that lecturers perceived AI as supporting sustainability-oriented academic practices by reducing repetitive workload, enabling cognitive reallocation, strengthening digital material optimization, raising ethical concerns, and highlighting the importance of institutional readiness, lecturer self-efficacy, and adaptive academic leadership. AI does not automatically produce green behavior; rather, its contribution depends on ethical governance, lecturer capability, institutional support, and sustainability-oriented academic culture. This study offers lecturer-centered qualitative insight into AI as a potential enabler of responsible and sustainability-oriented teaching innovation.
Co-Authors Bendaoud Nadif Endi Rekarti, Endi Muji Gunarto Muji Gunarto Shine Pintor Siolemba Patiro Sri Yusriani