From vision to practice: Adoption of artificial intelligence in libraries across ASEAN
DOI:
https://doi.org/10.22452/mjlis.vol30no2.3Keywords:
Artificial Intelligence, Libraries, ASEAN, TOE Framework, National AI Strategy, AI AdoptionAbstract
This study examines the use of artificial intelligence (AI) in libraries across ASEAN countries, focusing on national strategic support, AI implementation, and key challenges and opportunities in the regional context. Using a content analysis approach based on the Technology Organisation Environment (TOE) framework, 115 official documents including national AI strategies, policy reports, and statements were analysed. AI applications were reviewed at the institutional level by selecting the top five universities in the QS World University Rankings in each ASEAN country. Singapore and Malaysia show strong support for AI policies, while Indonesia, the Philippines, Thailand, and Vietnam show moderate commitment with established national policies. Brunei, Cambodia, Laos, and Myanmar exhibit emerging support, with AI mentioned only within a broader digital agenda. In practice, libraries in Singapore, Malaysia, Indonesia, Thailand, the Philippines, and Vietnam have adopted AI technologies or developed AI-enabled services for research and patron engagement, supported by training and investment in infrastructure. The introduction of AI is limited or undocumented in Brunei, Laos, Cambodia, and Myanmar. Major challenges include uneven technical resources, data quality issues, lack of governance, talent shortages, and inadequate ethical guidelines. Opportunities exist in local innovation, regional collaboration, policy advocacy, and training to accelerate AI adoption. This is the first region-wide analysis linking ASEAN national AI policies to AI implementation in libraries. It provides cross-country insights and practical cases for policymakers, library professionals, and regional bodies, and serves as a strategic reference to drive AI integration across the region.
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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. https://doi.org/10.1108/lht-02-2020-0038.
Baker, J. (2011). The technology–organization–environment framework. In Y. K. Dwivedi, M. R. Wade, & S. L. Schneberger (eds.), Information systems theory: Explaining and predicting our digital society, Vol. 1. Integrated series in information systems (Vol. 28, pp. 231–245). Springer. https://doi.org/10.1007/978-1-4419-6108-2_12.
Balnaves, E., Bultrini, L., Cox, A., & Uzwyshyn, R. (2025). New horizons in artificial intelligence in libraries. de Gruyter Saur. https://doi.org/10.1515/9783111336435.
Barlindhaug, G. (2022). Artificial intelligence and the preservation of historic documents. Proceedings From the Document Academy, 9(2), Article 9. https://doi.org/10.35492/docam/9/2/9.
Barsha, S., & Munshi, S. A. (2024). Implementing artificial intelligence in library services: A review of current prospects and challenges of developing countries. Library Hi Tech News, 41(1), 7–10. https://doi.org/10.1108/lhtn-07-2023-0126.
Cox, A. M. (2025). The implications for use of artificial intelligence in libraries and education: An introductory overview. In E. Balnaves, L. Bultrini, A. Cox, & R. Uzwyshyn (eds.), New horizons in artificial intelligence in libraries (pp. 61-70). de Gruyter Saur. https://doi.org/10.1515/9783111336435-007.
Cox, A. M. (2021). The impact of AI, machine learning, automation and robotics on the information professions: A report for CILIP. CILIP: The Library and Information Association. https://eprints.whiterose.ac.uk/174522/.
Cox, A. M. (2022). How artificial intelligence might change academic library work: Applying the competencies literature and the theory of the professions. Journal of the Association for Information Science and Technology, 74(3), 367–380. https://doi.org/10.1002/asi.24635.
Cox, A. M., Pinfield, S., & Rutter, S. (2019). The intelligent library. Library Hi Tech, 37(3), 418–435. https://doi.org/10.1108/lht-08-2018-0105.
Drisko, J. W., & Maschi, T. (2016). Content analysis. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780190215491.001.0001.
Golub, K., Suominen, O., Mohammed, A. T., Aagaard, H., & Osterman, O. (2024). Automated Dewey Decimal Classification of Swedish library metadata using Annif software. Journal of Documentation, 80(5), 1057–1079. https://doi.org/10.1108/jd-01-2022-0026.
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.
Ikwuanusi, U. F., Adepoju, P. A., & Odionu, C. S. (2023). AI-driven solutions for personalized knowledge dissemination and inclusive library user experiences. International Journal of Engineering Research Updates, 4(2), 52–62. https://doi.org/10.53430/ijeru.2023.4.2.0023.
Islam, M. N., Ahmad, S., Aqil, M., Hu, G.-W., Ashiq, M., Abusharhah, M. M., & Saky, S. A. T. M. (2025). Application of artificial intelligence in academic libraries: A bibliometric analysis and knowledge mapping. Discover Artificial Intelligence, 5(1), Article 59. https://doi.org/10.1007/s44163-025-00295-9.
Isono, I., & Prilliadi, H. (2023). Accelerating AI in ASEAN: Addressing disparities, challenges, and regional policy imperatives (No. 488). ERIA: Economic Research Institute for ASEAN and East Asia. https://www.eria.org/research/accelerating-ai-in-asean-addressing-disparities-challenges-and-regional-policy-imperatives.
Jan, S. U., Khan, M. S. A., & Khan, A. S. (2024). Organizational readiness to adopt artificial intelligence in the library and information sector of Pakistan. Evidence Based Library and Information Practice, 19(1), 58–76. https://doi.org/10.18438/eblip30408.
Keith, A. J. (2024). Governance of artificial intelligence in Southeast Asia. Global Policy, 15(5), 937–954. https://doi.org/10.1111/1758-5899.13458.
Lu, Y.-H. (2024). A Comparative Analysis of policy responses to development gaps in ASEAN: Examining the effectiveness of macroeconomic and regional integration strategies. Lecture Notes in Education Psychology and Public Media, 70(1), 1–7. https://doi.org/10.54254/2753-7048/70/20240988.
Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News, 40(3), 26–29. https://doi.org/10.1108/lhtn-01-2023-0009.
Mahmud, M. R. (2024). AI in automating library cataloging and classification. Library Hi Tech News. https://doi.org/10.1108/lhtn-07-2024-0114.
Molaudzi, A. I., & Ngulube, P. (2025). Use of artificial intelligence innovations in public academic libraries. IFLA Journal. https://doi.org/10.1177/03400352241301780.
Mutia, F., Masrek, M. N., Baharuddin, M. F., Mohamed Shuhidan, S., Soesantari, T., Yuwinanto, H. P., & Atmi, R. T. (2024). An exploratory comparative analysis of librarians’ views on AI support for learning experiences, lifelong learning, and digital literacy in Malaysia and Indonesia. Publications, 12(3), 21. https://doi.org/10.3390/publications12030021.
Panda, S., & Chakravarty, R. (2022). Adapting intelligent information services in libraries: A case of smart AI chatbots. Library Hi Tech News, 39(1), 12–15. https://doi.org/10.1108/lhtn-11-2021-0081.
Pinto, A. S., Abreu, A., Cota, M. P., & Paiva, J. (2024). Exploring the drivers of AI adoption: A meta-analysis of technological, organizational and environmental (TOE) factors. Research Square. https://doi.org/10.21203/rs.3.rs-5634577/v1.
Raffoul, S., & Jaber, L. (2023). Text-to-speech software and reading comprehension: The impact for students with learning disabilities. Canadian Journal of Learning and Technology, 49(2), Article 4. https://doi.org/10.21432/cjlt28296.
Samuel, A., Vidza, P. Y., & Addo, B. N. (2025). The role of artificial intelligence in enhancing library services in universities: A bibliometric analysis. Ghana Library Journal, 29(2), 54-65. https://doi.org/10.4314/glj.v29i2.5.
Subaveerapandiyan, A., Paladhi, M. M., & Maruthaveeran, V. (2024). Evaluating AI literacy proficiency among LIS researchers in ASEAN. Library Hi Tech News, 41(4), 6–8. https://doi.org/10.1108/lhtn-07-2023-0121.
Suominen, O., Inkinen, J., & Lehtinen, M. (2022). Annif and Finto AI: Developing and implementing automated subject indexing. JLIS.it, 13(1), 265–82. https://doi.org/10.4403/jlis.it-12740.
The ASEAN. (2023, December 19). UNESCO Representative List of the Intangible Cultural Heritage of Humanity. The ASEAN Magazine. https://theaseanmagazine.asean.org/article/unesco-representative-list-of-the-intangible-cultural-heritage-of-humanity.
Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington Books.
Verma, M., & Patnaik, P. K. (2024). An automatic college library book recommendation system using optimized Hidden Markov based weighted fuzzy ranking model. Engineering Applications of Artificial Intelligence, 130, 107664. https://doi.org/10.1016/j.engappai.2023.107664.
Xu, C., & Loo, S. (2025). A review of artificial intelligence applications in libraries in Southeast Asia: Where are we now? Reference Services Review, 53(1), 66-91. https://doi.org/10.1108/rsr-06-2024-0027.
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