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AI Adoption, Technostress, and Knowledge-Sharing Behaviour among University Students Cinthia Annisa Vinahapsari; Arumsari Arumsari; Maynard Zac Wibowo; Eny Rahma Zaenah; Thi Thu Hang Nguyen; Abdullahi Ndagi
TIJAB (The International Journal of Applied Business) Vol. 10 No. 2 (2026): JUNE 2026
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/tijab.v10.I2.2026.86105

Abstract

Background: Despite growing attention to AI in education, existing studies have predominantly focused on learning outcomes and academic performance, while behavioural responses to AI adoption, particularly knowledge-sharing behaviour and the role of technostress, remain underexplored. Moreover, technostress is commonly viewed as a negative consequence of technology use, with a limited understanding of its potential role in stimulating adaptive collaborative behaviour among university students. Therefore, understanding the psychological and behavioural implications of AI adoption has become crucial to investigate in higher education contexts. Objective: This study examines the relationship between AI adoption and technostress, as well as knowledge-sharing behaviour, among university students. Method: A quantitative survey was conducted with 105 first-semester students who had experience using AI in their academic tasks. After screening, 84 valid responses were analysed using Partial Least Squares Structural Equation Modeling. Results: AI adoption significantly increases technostress. Unexpectedly, technostress is positively associated with knowledge-sharing behaviour rather than negatively, as commonly assumed. This finding aligns with the Job Demands–Resources (JD-R) perspective, in which technological demands may also stimulate adaptive collaboration. However, technostress does not significantly mediate the relationship between AI adoption and knowledge-sharing behaviour. Conclusion: By showing that technostress can serve as a context-dependent challenge that fosters, rather than suppresses, collaborative behaviour in AI-supported learning settings, this study contributes to the organizational behaviour literature. It further reveals that knowledge sharing is driven more by social adaptation than by technological pressure, offering new insight into how students respond to AI adoption in universities. Keywords: AI adoption; knowledge-sharing behaviour; organizational behaviour; technostress; university students
Pengembangan Kapasitas SDM Desa Sidowayah Klaten Melalui Kolaborasi Pengabdian Masyarakat: Penguatan Manajemen Bisnis Dan Pengelolaan Desa Wisata Kumaratih Sandradewi; Sotya Partiwi Ediwidjojo; Bella Febrianti; Fatin Fadila; Tri Irawati; Cinthia Annisa Vinahapsari
JURPIKAT Vol 7 No 3 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v7i3.3333

Abstract

Desa Sidowayah, Kecamatan Polanharjo, Kabupaten Klaten, Jawa Tengah memiliki potensi besar sebagai desa wisata berbasis alam dan budaya. Namun, keterbatasan kapasitas sumber daya manusia (SDM) perangkat desa dalam aspek manajerial dan pengelolaan destinasi wisata menjadi hambatan utama pengembangan potensi tersebut. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan pengetahuan dan keterampilan perangkat desa serta pengelola Wisata Umbul Manten dalam bidang manajemen bisnis dan tata kelola desa wisata. Metode yang digunakan mencakup need assessment, pelatihan partisipatif, dan pendampingan. Hasil pengabdian menunjukkan peningkatan signifikan dalam pemahaman peserta terhadap konsep manajemen bisnis, perencanaan strategi wisata, pengelolaan keuangan, dan pemasaran digital. Kegiatan ini diharapkan menjadi fondasi bagi terwujudnya Desa Sidowayah sebagai desa wisata mandiri dan berdaya saing.