Intelligent Service Affecting Smart Library Effectiveness in Colleges and Universities in Anyang under Henan Province
คำสำคัญ:
knowledge services, ntelligent service perception, research service demand, intelligent servicesบทคัดย่อ
The purpose of this study is to (1) understand the factors that affect the effectiveness of intelligent services in intelligent libraries of universities in Henan Province, and (2) explore the mediating role of intelligent perception services in the relationship between knowledge services and the efficiency of intelligent library services. The research method is quantitative research.
This study included 6 universities in Anyang City, Henan Province, and selected 300 students as samples through stratified random sampling method. A survey questionnaire was used for data collection, and a total of 247 valid questionnaires were collected. Among them, there are 44 from Henan Nursing Vocational College, 44 from Anyang Vocational and Technical College, 39 from Anyang Preschool Vocational College, 43 from Anyang Normal College, 40 from Anyang Institute of Technology, and 37 from Anyang College. Descriptive statistics and structural equation modeling (SEM) were used for data analysis using data analysis software.
The results indicate that the key factors affecting the effectiveness of intelligent services in university smart libraries include knowledge services, intelligent perception, and research service needs. The demand for knowledge services, intelligent perception, and scientific research services has a positive impact on the intelligent services of university smart libraries. Intelligent service perception plays a mediating role between the demand for scientific research services and their effectiveness.
References
Chen Xiaoling. (2018). Research on Personalized Recommendation Service System and Model of Smart Library. Comparative Study on Cultural Innovation.
Chen Youtong. (2020). Analysis on Intelligent services of University Libraries in the Big data Era, Intelligence.
Cheng Yuexin. (2022). Research on the Self service Mode of University Libraries in the Digital Intelligence Era. Jiangsu: Jiangsu University.
Fan Wei and Hu Kanglin. (2020). Research on Smart Library Intelligent Response Services in the Internet of Things Environment, Library and Information Work.
Han Xiao. (2019). Research on the Index Model Construction of Reader Satisfaction in University Libraries. Information Management and Informatics.
Hao Dawei. (2018). Analysis of Personalized Recommendation Service System and Mode in Smart Library. Inner Mongolia Science and Technology and Economy.
He Wenhu, Wu Tong. (2023). Research on the Path of Improving Librarian Data Literacy in University Libraries. Shanxi Youth.
Hu Changping, Hu Yuan. (2013). Empirical Study on User Satisfaction of Digital Library Services in Universities. National Library Journal.
Hu Chaojun. (2019). Research on Personalized Intelligent service Mode of Public Libraries Based on Knowledge Mining. Tianjin University of Technology.
Hu Yuan. (2019). Research on the Framework of Factors Influencing Data Demand Management for University Scientific Researchers. Journal of China Library.