Nguyen Thanh An

Thu Dau Mot University, Ho Chi Minh City, Việt Nam

DOI : https://doi.org/10.58806/ijsshmr.2026.v5i5n39

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ABSTRACT

Artificial intelligence (AI) adoption has become a strategic priority for enterprises seeking to improve productivity, decision-making, automation, and competitiveness. However, employees may hesitate to adopt AI when they perceive risks related to reliability, privacy, ethics, security, and overreliance. This study examines the determinants of trust in AI and its effect on AI adoption intention in enterprises. Drawing on the Technology Acceptance Model, the Unified Theory of Acceptance and Use of Technology, and Trust Theory, the study investigates the effects of perceived usefulness, perceived ease of use, perceived risk, and organizational support on trust in AI and AI adoption intention. Data were collected from 400 respondents and analyzed using partial least squares structural equation modeling. The results show that perceived usefulness, perceived ease of use, and organizational support positively influence trust in AI, while perceived risk negatively affects trust in AI. Trust in AI has a strong positive effect on AI adoption intention and fully mediates the relationships between all antecedent variables and adoption intention. The findings extend AI adoption literature by positioning trust in AI as a central psychological mechanism linking technology perceptions and organizational conditions to adoption intention. Practical implications are provided for enterprises seeking to build trustworthy and responsible AI adoption environments.

KEYWORDS:

AI adoption intention; Trust in AI; Perceived usefulness; Perceived ease of use; Perceived risk; Organizational support.

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Cite this Article:An, N. T. (2026). Trust in Artificial Intelligence and AI Adoption Intention in Enterprises. INTERNATIONAL JOURNAL OF SOCIAL SCIENCE HUMANITY & MANAGEMENT RESEARCHS, 5(5), 1269-1279. https://doi.org/10.58806/ijsshmr.2026.v5i5n39

VOlUME 05 ISSUE 05 May 2026