Determinants of Artificial Intelligence-Based Library Application Use: A Hybrid Structural Equation Modeling and Neural Artificial Network Analysis

Document Type : Original Article

Author

Assistance Prof, Department of Information Science and Knowledge Studies, Payame Noor University (PNU), P.O. Box 19395-4697, Tehran, Iran. Email: rezvani.shahla@pnu.ac.ir

10.22091/jemsc.2026.15446.1356

Abstract

The purpose of this study was to examine the effect of artificial intelligence features on the use of library applications, with the mediating role of perceived usefulness, perceived enjoyment, and attitude toward the application. The research method was descriptive–correlational and used structural equation modeling. A total of 279 students who use AI-based library applications at universities in Iran participated in this study. Data were collected through a questionnaire. An integrated structural equation modeling and artificial neural network (SEM-ANN) approach was used to analyze the data. The results showed that artificial intelligence features have a positive and significant effect on attitude toward the library application, perceived enjoyment, perceived usefulness, and the use of library applications. Additionally, attitude toward the library application, perceived enjoyment, and perceived usefulness each had a positive and significant effect on the use of library applications. The mediating roles of attitude toward the application, perceived enjoyment, and perceived usefulness in the relationship between artificial intelligence and the use of library applications were also positive and significant. Therefore, it can be concluded that artificial intelligence features increase the use of library applications by improving users’ attitudes, enjoyment, and perceived usefulness.

Keywords

Main Subjects

References

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