Information from the abstract
Artificial intelligence (AI) is increasingly transforming scholarly communication by changing how researchers discover, organize, evaluate, and communicate academic knowledge. Academic libraries are consequently expanding AI-supported research services; however, limited empirical evidence exists regarding how researchers’ trust in AI influences their acceptance, use, and perceived outcomes of these services. This study developed and validated an integrated structural model examining the relationships among Trust in AI, AI Acceptance, AI Use, and Service Outcomes in AI-supported academic library research services. A quantitative survey was conducted with 200 faculty members, researchers, and postgraduate students from higher education institutions in Thailand. Data were analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The results revealed that Trust in AI significantly enhanced AI Acceptance, which subsequently promoted AI Use and improved perceived Service Outcomes. Mediation analysis further confirmed that AI Acceptance and AI Use sequentially mediated the relationship between Trust in AI and Service Outcomes. These findings demonstrate that researchers’ trust is fundamental to successful AI-supported research services and highlight the importance of transparent, reliable, and ethically governed AI environments. The proposed model advances understanding of researchers’ engagement with AI-supported research services and provides practical guidance for academic libraries and higher education institutions seeking to implement responsible AI-enabled research support.
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Related topics: Artificial Intelligence in Healthcare and Education · AI in Service Interactions · Ethics and Social Impacts of AI
Thai researcher and institutional participation
Kittiya Suthiprapa · Kulthida Tuamsuk · Khon Kaen University
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