skip to main content

Artificial Intelligence in Library Information Systems: A Systematic Literature Review of Applications, Challenges, and Future Implications

*Shinta Nur Hasanah orcid  -  Program Studi Ilmu Informasi dan Perpustakaan, Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Airlangga, Indonesia
Hendro Margono  -  Program Studi Ilmu Informasi dan Perpustakaan, Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Airlangga, Indonesia

Citation Format:
Abstract

This study examines the integration of Artificial Intelligence (AI) into modern Library Information Systems (LIS) through a Systematic Literature Review (SLR). The research aims to identify how Artificial Intelligence (AI) technologies contribute to improving operational efficiency, user engagement, and decision-making processes in both academic and public libraries. Guided by the PRISMA framework 26 peer-reviewed articles published between 2019 and 2025 were collected from Scopus, Web of Science, and Google Scholar, subsequently screened to 10 studies for in-depth analysis. The findings reveal that Artificial Intelligence (AI) technologies including machine learning, natural language processing, chatbots, and predictive analytics have brought meaningful changes to library management, encompassing automated cataloging, resource classifications, personalized recommendation systems, and digital preservation. Key challenges persist, particularly algorithmic bias, limited Artificial Intelligence (AI) literacy among librarians, and the high cost of implementation. This review underscores the importance of developing Artificial Intelligence (AI) competencies among library professionals and establishing clear ethical frameworks to guide responsible technology adoption. Cross-sector collaboration among policymakers, technology developers, and educators is also critical to fostering inclusive Artificial Intelligence (AI) deployment. The study concludes that Artificial Intelligence (AI) functions not only as a practical tool but also as a driver of transformation, repositioning libraries as intelligent, adaptive, and community-centered knowledge environments.

Fulltext Email colleagues
Keywords: artificial intelligence; digital transformation; library information systems; machine learning; smart libraries

Article Metrics:

Article Info
  1. Asemi, A., Ko, A., & Nowkarizi, M. (2021). Intelligent libraries: a review on expert systems, artificial intelligence, and robot. Library Hi Tech, 39(2), 412-434
  2. https://doi.org/10.1108/LHT-02-2020-0038
  3. Baek, J. (2025). Towards human-centered, open, and social interfaces for AI
  4. Cabrera, D., & Cabrera, L. L. (2023). The steps to doing a systems literature review (SLR). Journal of Systems Thinking Preprints. DOI: 10.54120/jost.pr000019.v1
  5. Cox, A.M., Pinfield, S. and Rutter, S. (2019) The intelligent library: Thought leaders’ views
  6. on the likely impact of artificial intelligence on academic libraries. Library Hi Tech, 37 (3)
  7. pp. 418-435. ISSN: 0737-8831
  8. https://doi.org/10.1108/LHT-08-2018-0105
  9. Dastagir, G., Hossain, K. M., Haque, M. M., & Gaffar, R. B. (2024). NLP-based AI robot for intelligent interaction (Doctoral dissertation, Brac University). http://hdl.handle.net/10361/22757
  10. Gm, D., Goudar, R. H., Kulkarni, A. A., Rathod, V. N., & Hukkeri, G. S. (2024). A digital recommendation system for personalized learning to enhance online education: A review. IEEe Access, 12, 34019-34041. https://doi.org/10.1109/ACCESS.2024.3369901
  11. Gbadebo, A. D. (2024). Application of artificial intelligence and machine learning in academic libraries. International Journal of Social and Educational Innovation (IJSEIro), 11(22), 184-201
  12. Harisanty, D., Anna, N. E. V., Putri, T. E., Firdaus, A. A., & Noor Azizi, N. A. (2024). Leaders, practitioners and scientists' awareness of artificial intelligence in libraries: a pilot study. Library Hi Tech, 42(3), 809-825. https://doi.org/10.1108/LHT-10-2021-0356
  13. Ibrahim, S. E. A. (2025). Lost in the algorithm: navigating the ethical maze of AI in libraries. South African Journal of Libraries and Information Science, 91(1), 1-11. https://hdl.handle.net/10520/ejc-liasa_v91_n1_a3
  14. Islam, M. N., & Guangwei, H. (2025). Trends and Patterns of Artificial Intelligence Research in Libraries: A Bibliometric Analysis. SAGE Open, 15(2), 21582440251327528. https://doi.org/10.1177/21582440251327528
  15. Jinendran Jain, S., & Kumar Behera, P. (2023). Visualizing the academic library of the future based on collections, spaces, technologies, and services. International Journal of Information Science and Management (IJISM), 21(1), 219-243. https://doi.org/10.22034/ijism.2023.700794
  16. Joshi, L. (2025). The Role of Artificial Intelligence in Modern Library Management Systems. International Journal of Advanced Research and Multidisciplinary Trends (IJARMT), 2(2), 108-121
  17. Lescrauwaet, L., Wagner, H., Yoon, C., & Shukla, S. (2022). Adaptive legal frameworks and economic dynamics in emerging tech-nologies: Navigating the intersection for responsible innovation. Law and Economics, 16(3), 202-220. https://doi.org/10.35335/laweco.v16i3.61
  18. Lund, B. D., Omame, I., Tijani, S., & Agbaji, D. (2020). Perceptions toward artificial intelligence among academic library employees and alignment with the diffusion of innovations’ adopter categories. College & Research Libraries, 81(5), 865. https://doi.org/10.5860/crl.81.5.865
  19. Maqsood, A., Chen, C., & Jacobsson, T. J. (2024). The future of material scientists in an age of artificial intelligence. Advanced Science, 11(19), 2401401. https://doi.org/10.1002/advs.202401401
  20. Mohammed, Y. S., Akula, D. K., Syed, A., Haque, G. M. M., & Arafat, Y. (2025). The Impact of Artificial Intelligence on Information Systems: Opportunities and Challenges. Emerging Frontiers Library for The American Journal of Engineering and Technology, 7(8), 151-176
  21. Narendra, A. P., Dewi, C., Gunawan, L. S., & Ardi, A. S. (2025). Artificial intelligence implementation in library information systems: current trends and future studies. Vietnam Journal of Computer Science, 12(03), 209-233. https://doi.org/10.1142/S2196888824300023
  22. Nathania, N., Margono, H., Rosman, M. R. M., Hamid, H. A., & Radzi, S. M. (2025). Ethical challenges regarding library integration with artificial intelligence. Journal of Information and Knowledge Management, 15(SI1). https://doi.org/10.24191/jikm.v15iSI1.6109
  23. Orubebe, E., Oloniruha, E., & Oladokun, B. (2025). Adoption and utilization of artificial intelligence in academic libraries: Challenges and opportunities in developed and developing nations. International Journal of Knowledge Content Development & Technology, 15(3), 23-35. https://doi.org/10.5865/IJKCT.2025.15.3.023
  24. Saeidnia, H. R., & Keshavarz, H. (2025). Artificial intelligence for library and information science education: using mnemonics to improve learning and retention. Library Hi Tech News, 42(5), 8-10. https://doi.org/10.1108/LHTN-05-2024-0077
  25. Tait, E., & Pierson, C. M. (2022). Artificial intelligence and robots in libraries: Opportunities in LIS curriculum for preparing the librarians of tomorrow. Journal of the Australian Library and Information Association, 71(3), 256-274. https://doi.org/10.1080/24750158.2022.2081111
  26. Toosi, R., Nosraty, N., & Tomraee, S. (2025). Using AI to enhance health: A global perspective. Journal of World Sociopolitical Studies, 9(4), 693-736. https://doi.org/10.22059/wsps.2025.395976.1521

Last update:

No citation recorded.

Last update:

No citation recorded.