Human and Information Interaction

The Role of Users' Mental Models in Technology Acceptance of Academic Library Systems: A Case Study of Shahid Madani University of Azerbaijan

Articles in Press

Document Type : Original Article

Authors

Karrar Salman Davood Al-asadi 1
Reza Akbarnejad 1
Ali Moradmand 2

1 1. MA. Department of Knowledge and Information Science, Faculty of Educational Sciences and Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran

2 3. Assistant Professor, Department of Knowledge and Information Science, Faculty of Educational Sciences and Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran E-mail: amoradmand@gmail.com

https://doi.org/10.22034/hii.2026.137991.1018
Abstract
Purpose: This study aimed to investigate the role of users' mental models as a key cognitive factor in technology acceptance of academic library systems at Shahid Madani University of Azerbaijan.
Method: This research is applied in purpose and descriptive-survey of correlational type in data collection method. The statistical population included all students of Shahid Madani University of Azerbaijan in the academic year 2025-2026, totaling 8,429 students. Ultimately, 364 students participated in this study. Research instruments included two questionnaires: the Users' Mental Model Assessment Questionnaire and the Technology Acceptance Questionnaire based on TAM. Content validity was confirmed by 12 experts using CVR and CVI indices, and reliability was confirmed using Cronbach's alpha coefficient. Data were analyzed using SPSS software.
Findings: Results showed that the mean of overall mental models (3.38) and technology acceptance (3.78) were both above the theoretical average (3). The highest mean among mental model dimensions was for "social and cultural influences" (3.73), while "perception of search logic and system architecture" had the lowest mean (3.11). Among TAM components, "perceived usefulness" (4.01) had the highest and "perceived ease of use" (3.40) had the lowest mean. The five dimensions of mental models together explained 40.1% of the variance in technology acceptance. "Social and cultural influences" had the strongest positive effect, while "compatibility with research and educational needs" had a negative effect on technology acceptance.
Conclusions: This study demonstrated that users' mental models play a determining role in technology acceptance of academic library systems, and TAM as a motivational-cognitive framework needs to be complemented by mental models as a cognitive-interpretive framework. Social and cultural influences were identified as the most important dimension of mental models in explaining technology acceptance, indicating the socio-cultural nature of technology acceptance in Iranian academic libraries.

Keywords

Users' Mental Models
Technology Acceptance
Academic Library Systems
Shahid Madani University of Azerbaijan
Ali, I., & Warraich, N. F. (2024). Use and acceptance of technology with academic and digital libraries context: A meta-analysis of UTAUT model and future direction. Journal of Librarianship and Information Science, 56(4), 965-977. https://doi.org/10.1177/09610006231179716
Ali, M., Lyu, C., Tian, X., & Jiang, C. (2025). Effect of strategic imperative on technology adoption in academic libraries in Pakistan: A TAM & PLS-SEM analysis. Acta Psychologica, 258, 105127. https://doi.org/10.1016/j.actpsy.2025.105127
Asabere, N. Y., Acakpovi, A., Agyiri, J., Awuku, M. C., Sakyi, M. A., & Teyewayo, D. A. (2021). Measuring the constructs that influence student and lecturer acceptance of an E-library in Accra Technical University, Ghana. International Journal of Online Pedagogy and Course Design (IJOPCD), 11(1), 53-72. https://doi.org/10.4018/IJOPCD.2021010104
Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the association for information systems, 8(4), 3. https://doi.org/10.17705/1jais.00122
Bai, Z., Gao, G., Zhao, L., & Wang, J. (2025). Determinants of continued use willingness for library smart services: Evidence from university libraries in China. Information Development, 02666669251360369. https://doi.org/10.1177/02666669251360369
Behzadi, H., Safari, A., & Radad, I. (2017). Investigation of Factors Affecting Student's Mental Model Completeness Level of Google Web Search Engine. Library and Information Science Research, 7(2), 232-250. [In Persian] https://doi.org/10.22067/riis.v7i2.58655
Davis, F. D. (1989). Technology acceptance model: TAM. Al-Suqri, MN, Al-Aufi, AS: Information Seeking Behavior and Technology Adoption, 205(219), 5.
Elbanna, A. (2010). From intention to use to actual rejection: the journey of an e‐procurement system. Journal of Enterprise Information Management, 23(1), 81-99. https://doi.org/10.1108/17410391011008914
Fang, W., Na, M., & Alam, S. S. (2025). Usage Intention of AI Among Academic Librarians in China: Extension of UTAUT Model. Sustainability, 17(7), 2833. https://doi.org/10.3390/su17072833
Farzinyazdi, M., Baradar, R. and Ghaebi, A. (2018). A framework for Information and Communication Technology Acceptance at Academic Libraries in Iran: Delphi technique (approach). Journal of Studies in Library and Information Science, 10(3), 201-224. [In Persian] https://doi.org/10.22055/slis.2019.27671.1543
Galy, E., Downey, C., & Johnson, J. (2011). The effect of using e-learning tools in online and campus-based classrooms on student performance. Journal of Information Technology Education: Research, 10(1), 209-230. https://doi.org/10.28945/1503
Han, Z., Hansen, P., Xu, H., & Luo, R. (2020). Examining the classification and evolution of novice users’ mental models of an academic database in the search task completion process. Journal of information science, 46(2), 205-225. https://doi.org/10.1177/0165551519828621
Heinrichs, J. H., Lim, K. S., Lim, J. S., & Spangenberg, M. A. (2007). Determining factors of academic library web site usage. Journal of the American Society for Information Science and Technology, 58(14), 2325-2334. https://doi.org/10.1002/asi.20710
Hussain, A., & Khan, A. (2025). Librarian acceptance of artificial intelligence in academic libraries of Islamabad: An application of the technology acceptance model. Technical Services Quarterly, 1-21. https://doi.org/10.1080/07317131.2025.2512280
Ishengoma, F. (2024). Revisiting the TAM: adapting the model to advanced technologies and evolving user behaviours. The Electronic Library, 42(6), 1055-1073. https://doi.org/10.1108/EL-06-2024-0166
Jalali, Z., Ashrafi-Rizi, H., Soleymani, M.R., & Afshar, M. (2017). Effective Factors on the Acceptance of Information Technology by Academic Librarians of Isfahan Based on TAM. Payavard Salamat, 11(4), 400-410. [In Persian] http://payavard.tums.ac.ir/article-1-6330-fa.html
Jaradat, M. I. R. M. (2012). Exploring the factors that affect intention to use mobile phones in Jordanian academic library. International Journal of Information Technology and Web Engineering (IJITWE), 7(4), 34-49. https://doi.org/10.4018/jitwe.2012100103
Kaffashan, M. (2010). Application of technology acceptance theories in the evaluation of library information technologies: A text-based research approach. Library and Information Science, 13(4), 193-218. [In Persian]
Khoo, M., & Hall, C. (2012, September). What would ‘Google’do? Users’ mental models of a digital library search engine. In International Conference on Theory and Practice of Digital Libraries (pp. 1-12). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-33290-6_1
Maceli, M. (2019). Librarians’ mental models and use of privacy-protection technologies. Journal of Intellectual Freedom & Privacy, 4(1), 18-32. https://doi.org/10.5860/jifp.v4i1.6907
Makri, S., Blandford, A., Gow, J., Rimmer, J., Warwick, C., & Buchanan, G. (2007). A library or just another information resource? A case study of users' mental models of traditional and digital libraries. Journal of the American Society for Information Science and Technology, 58(3), 433-445. https://doi.org/10.1002/asi.20510
Mirzabeigi, M. (2013). Mental Models in Information Seeking Behavior Research: A Review. Academic Librarianship and Information Research, 47(3), 303-323. [In Persian] https://doi.org/10.22059/jlib.2013.51128
Park, N., Roman, R., Lee, S., & Chung, J. E. (2009). User acceptance of a digital library system in developing countries: An application of the Technology Acceptance Model. International journal of information management, 29(3), 196-209. https://doi.org/10.1016/j.ijinfomgt.2008.07.001
Rahmani, M. (2019). Investigating Students' Mental Model and Electronic Learning System at Shahid Beheshti University. Sciences and Techniques of Information Management, 5(1), 107-127. [In Persian] https://doi.org/10.22091/stim.2019.1379
Rahrovani, S., Mirzabeigi, M., & Abbaspour, J. (2018). Investigating Factors Affecting on the Users' Mental Models of Icons in Digital Library Software. Iranian Journal of Information Processing and Management, 33(2), 489-516. [In Persian] https://doi.org/10.35050/JIPM010.2018.070
Rajabali-Beglou, R., Fattahi, R., & Parirokh, M. (2016). Development & Evolution of Mental Model in the Context of Information Systems: From General View to Performance Prediction. Journal of Studies in Library and Information Science, 7(2), 1-18. [In Persian] https://doi.org/10.22055/slis.2016.12032
Rajabali-Beglou, R., Fattahi, R., & Parirokh, M. (2016). The Impact of Previous Usage of Information Systems on the Mental Models of Digital Library Users. Librarianship and Information Organization Studies, 27(2), 21-40. [In Persian]
Salimifard, K., Khosravi, A., Pak, O., Pasban, I., & Safaei, Z. (2014). Modeling factors affecting acceptance of RFID technology in libraries (Case Study: Bushehr University of Medical Sciences). Academic Librarianship and Information Research, 48(1), 105-120. [In Persian] https://doi.org/10.22059/jlib.2014.52708
Sheikh-Shoaei, F., & Oloumi, T. (2007). A study of factors affecting information technology adoption by librarians in the technical faculty libraries of public universities in Tehran. Library and Information Science, 10(3), 9-34. [In Persian]
Shirezhian, S., & Mirmehdi, S.M. (2025). Investigating the Intention to Use Artificial Intelligence-Based Chatbots by Customers with a Technology Acceptance Approach. Human-Information Interaction, 12(1), 20-42. [In Persian] https://hii.khu.ac.ir/article_4442.html?lang=en
Silas, A., Agyeman, I. K., Adetsi, P., & Agyei, F. O. (2025). The use of open-source software by library users in some private universities in Ghana. In Seminars in Medical Writing and Education (Vol. 4, No. 666, p. 666). AG Editor (Argentina). https://doi.org/10.56294/mw2025666
Tham, J. C. K., Burnham, K. D., Hocutt, D. L., Ranade, N., Misak, J., Duin, A. H., ... & Campbell, J. L. (2021). Metaphors, mental models, and multiplicity: Understanding student perception of digital literacy. Computers and Composition, 59, 102628. https://doi.org/10.1016/j.compcom.2021.102628
Yakubu, A. S., Kassim, A. M., & Husin, M. H. (2023). Conceptualizing hybrid model for influencing intention to adopt cloud computing in North-Eastern Nigerian academic libraries. The Journal of Academic Librarianship, 49(4), 102747. https://doi.org/10.1016/j.acalib.2023.102747
Yang, C. (2024). An Analysis of the Factors Impacting Satisfaction and Continued Intention to Use Digital Library: A Case Study of Universities in Chongqing, China. Scholar, 16(3), 228.
Yoon, H. Y. (2016). User acceptance of mobile library applications in academic libraries: an application of the technology acceptance model. The Journal of Academic Librarianship, 42(6), 687-693. https://doi.org/10.1016/j.acalib.2016.08.003
Yu, K., & Huang, G. (2020). Exploring consumers’ intent to use smart libraries with technology acceptance model. The Electronic Library, 38(3), 447-461. https://doi.org/10.1108/EL-08-2019-0188
Zhang, W., & Xu, P. (2011). Do I have to learn something new? Mental models and the acceptance of replacement technologies. Behaviour & Information Technology, 30(2), 201-211. https://doi.org/10.1080/0144929X.2010.489665
Human and Information Interaction

Articles in Press, Accepted Manuscript
Available Online from 26 June 2026