| dc.description.abstract | This study investigates the adoption behavior of Generation Z in using artificial
intelligence as a career preparation assistant by extending the Unified Theory of
Acceptance and Use of Technology (UTAUT) with Information Quality and Trust.
The research examines how information quality shapes performance expectancy
and trust, and how performance expectancy, effort expectancy, social influence,
facilitating conditions, and trust influence the intention to continue using AI-based
career tools. A quantitative explanatory design with exploratory elements was
employed. Data were collected via an online questionnaire distributed to
Generation Z individuals who have used AI for career-related activities, yielding
213 valid respondents. The data were analyzed using PLS-SEM. The findings reveal
that information quality significantly enhances both performance expectancy and
trust. Performance expectancy, social influence, and facilitating conditions had
significant positive effects on the intention to continue using AI for career
preparation. Trust also demonstrated a crucial mediating role in reinforcing
continued usage intention. Meanwhile, effort expectancy did not significantly affect
intention to continue. Overall, the results highlight the importance of delivering
accurate, relevant, and reliable AI-generated information and building user trust
to support sustained AI adoption among Generation Z. These insights provide
practical guidance for developers, educators, and career service providers in
optimizing AI systems to strengthen long-term engagement. | en_US |
