Seifallah Andayesh

Introduction: The purpose of this study is to examine the impact of knowledge sharing on the relationship between artificial intelligence and service quality of employees among librarians working in the libraries of medical universities in Tehran. Methodology: This research is descriptive and survey-based in nature, and applied in terms of purpose. The statistical population consists of 214 librarians working in the libraries of medical universities in Tehran. Using Cochran's formula, the sample size was determined to be 137. For data collection, the study employed the AI questionnaire developed by Chen et al. (2022) with 22 items; the knowledge sharing questionnaire by Damaj et al. (2016) with 12 items; and the service quality questionnaire by Parasuraman et al. (1985) with 22 items. The reliability of the instruments was confirmed through Cronbach’s alpha, and their validity was verified using convergent and discriminant validity. Data analysis was conducted using descriptive statistics and structural equation modeling (SEM) with SmartPLS software. Findings: Artificial intelligence has a positive and significant effect on librarians’ service quality. AI also positively influences knowledge sharing. Furthermore, knowledge sharing has a positive and significant effect on librarians’ service quality. Conclusion: Knowledge sharing fully mediates the relationship between artificial intelligence and librarians’ service quality. Value: This research will significantly contribute to the literature on artificial intelligence. The findings highlight existing research gaps in understanding the relationship between artificial intelligence and service quality.