Determinasi Niat Adopsi Generative AI pada Mahasiswa melalui Peran Sifat Individu dalam Kerangka Behavioral Reasoning Theory

Viddyartha, Rayhan Nashrullah (2026) Determinasi Niat Adopsi Generative AI pada Mahasiswa melalui Peran Sifat Individu dalam Kerangka Behavioral Reasoning Theory. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

The use of Generative AI (GenAI) in higher education is on the rise, including in Indonesia, where 95% of students report using GenAI. However, this high usage rate does not yet fully reflect a mature readiness for adoption, as it is still accompanied by concerns including 53% of students citing concerns about information inaccuracy as well as worries regarding dependency, academic ethics, and a decline in critical thinking skills. This situation highlights the need for a study that examines not only the benefits of the technology but also the reasons for and against adopting GenAI. This study aims to analyze the influence of Individual Agility and Individual Resilience on Reasons for GenAI Adoption and Reasons Against GenAI Adoption in shaping Attitude toward GenAI and Intention to Adopt GenAI through Behavioral Reasoning Theory. This study employs a quantitative approach involving 425 undergraduate students in Surabaya who have used text-based Generative AI Chatbots. Data were analyzed using Partial Least Squares Structural Equation Modeling with SmartPLS. The results of the study indicate that Individual Agility and Individual Resilience have a positive effect on Reasons for GenAI Adoption and Attitude toward GenAI. Reasons for GenAI Adoption partially mediate the relationship between Individual Agility and Attitude toward GenAI. Attitude toward GenAI has a positive effect on Intention to Adopt GenAI, while Reasons Against GenAI Adoption and Reference Group are not significant.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorFaroqi, AsifNIDN0019058703asiffaroqi.si@upnjatim.ac.id
Thesis advisorRahmawati, RafikaNUPTK9344775676230163rafika.rahmawati.fasilkom@upnjatim.ac.id
Subjects: T Technology > T Technology (General)
T Technology > T Technology (General) > T58.6-58.62 Management Information Systems
Divisions: Faculty of Computer Science > Departemen of Information Systems
Depositing User: Rayhan Nashrullah Viddyartha
Date Deposited: 22 Jul 2026 07:07
Last Modified: 22 Jul 2026 07:07
URI: https://repository.upnjatim.ac.id/id/eprint/56151

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