Human Information Interaction

Introduction: This study aims to examine the effect of artificial intelligence (AI) capabilities on organizational creativity, with a particular focus on the mediating role of knowledge sharing among librarians working in university libraries affiliated with medical sciences universities located in Tehran.

Research Method: The research employed a descriptive-survey design and is applied in terms of purpose. The statistical population included all librarians employed in the libraries of medical sciences universities in Tehran. Given the limited population size, a census method was used for data collection, resulting in 214 completed questionnaires. Valid and standardized instruments were utilized to measure the study variables. The level of AI utilization was assessed using a 22-item questionnaire adapted from Chen et al. (2022), covering five dimensions: AI management, AI-based decision-making, AI infrastructure, AI readiness, and AI-related skills. Organizational creativity was measured using a 15-item scale developed by Liao and Wu (2013). Knowledge sharing was evaluated using a 12-item questionnaire by Damaj et al. (2016). All instruments were based on a five-point Likert scale. Instrument validity was confirmed through convergent and discriminant validity analyses, and reliability was verified via Cronbach's alpha coefficients.

Findings: The results indicated a significant and positive relationship between AI capabilities and organizational creativity. AI also had a significant and positive effect on knowledge sharing. Moreover, knowledge sharing was positively and significantly associated with organizational creativity.

Discussion and Conclusion: The analyses revealed that knowledge sharing serves as a full mediator, playing a crucial role in linking AI capabilities to organizational creativity.

Originality: This research contributes to the literature on AI in the field of library and information science by highlighting the role of emerging technologies in fostering organizational creativity and addressing gaps in understanding the dynamics between AI and innovation within academic libraries