Work

Effect of AI Technology Acceptance and Use on Behavioral Intentions and Career Adaptability

Year: 2025

Type: article

Abstract: This study explores how UTAUT2 factors influence college students’ intentions to adopt AI and their career adaptability. Survey data from 327 students show that Performance Expectancy, Hedonic Motivation, and Habit significantly impact AI adoption, while Effort Expectancy, Facilitating Conditions, Hedonic Motivation, Price Value, and Habit influence career adaptability. The findings suggest that fostering positive attitudes toward AI is essential. To prepare students for an AI-driven workforce, the study recommends integrating AI into curricula, providing necessary resources, and promoting collaborative learning to support skill development and adaptability in a rapidly evolving technological landscape.

Source: Environment-Behaviour Proceedings Journal

DOI: 10.21834/e-bpj.v10isi27.6835

Authors: Tseng-Chung Tang, Li-Chiu Chi, Eugene Tang

Institutions: National Formosa University, University of California, Berkeley

Language: English

Topic: Technology Adoption and User Behaviour

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4412809717

FWCI: 2.079

Cites: 16

Cited by: 2

Related to: 10