Artificial Intelligence as Digital Transformation in University Libraries of Pakistan: A Qualitative Study on Challenges and Benefits
DOI:
https://doi.org/10.32350/uer.92.01Keywords:
artificial intelligence, digital transformation, emerging technologies, fourth industrial revolutionAbstract
The purpose of this study is to explore the challenges and benefits associated with the use of artificial intelligence (AI) in the university libraries of Pakistan. Given the novelty of the phenomenon, this study opted a qualitative research approach, and interviews were conducted with 20 university librarians who were purposefully chosen. The findings indicate that the use of AI in libraries improves operations and services by minimizing human errors caused by the repetitive nature of routine tasks. The study identified several challenges encountered by university librarians, including financial issues, inadequate specialization in emerging technologies, and limited resources to adopt and use AI-based technologies. Such challenges may be addressed by equipping librarians with necessary knowledge and technical skills such as basic IT skills, understanding AI concepts, data analysis and management, knowledge of AI algorithms, and critical thinking. This research significantly contributes by identifying the precise technical and professional competencies necessary for effective AI integration in university libraries, which encompass fundamental IT skills, comprehension of AI concepts, data analysis and management, familiarity with AI algorithms, and critical thinking. This work presents empirical evidence from a developing-country viewpoint, offering novel insights for higher education administrators, politicians, and library professionals aiming to deploy AI-driven library services in Pakistan and analogous contexts.
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Ajani, Y. A., Tella, A., Salawu, K. Y., & Abdullahi, F. (2022). Perspectives of librarians on awareness and readiness of academic libraries to integrate artificial intelligence for library operations and services in Nigeria. Internet Reference Services Quarterly, 26(4), 213–230. https://doi.org/10.1080/10875301.2022.2086196
Ali, M. Y., Naeem, S. B., & Bhatti, R. (2020). Artificial intelligence tools and perspectives of university librarians: An overview. Business Information Review, 37(3), 116–124. https://doi.org/10.1177/0266382120952016
Ali, M. Y., Naeem, S. B., & Bhatti, R. (2021). Artificial intelligence (AI) in Pakistani university library services. Library Hi Tech News, 38(8), 12–15. https://doi.org/10.1108/LHTN-10-2021-0065
Ali, M. Y., Naeem, S. B., Bhatti, R., & Richardson, J. (2024). Artificial intelligence application in university libraries of Pakistan: SWOT analysis and implications. Global Knowledge, Memory and Communication, 73(1/2), 219–234. https://doi.org/10.1108/GKMC-12-2021-0203
Allioui, H., & Mourdi, Y. (2023). Unleashing the potential of AI: Investigating cutting-edge technologies that are transforming businesses. International Journal of Computer Engineering and Data Science, 3(2), 1–12.
Arel, I., Rose, D. C., & Karnowski, T. P. (2010). Deep machine learning—A new frontier in artificial intelligence research [Research frontier]. IEEE Computational Intelligence Magazine, 5(4), 13–18. https://doi.org/10.1109/MCI.2010.938364
Asim, M., Arif, M., & Rafiq, M. (2022). Applications of Internet of Things in university libraries of Pakistan: An empirical investigation. The Journal of Academic Librarianship, 48(6), Article e102613. https://doi.org/10.1016/j.acalib.2022.102613
Asim, M., Arif, M., Rafiq, M., & Ahmad, R. (2023). Investigating applications of artificial intelligence in university libraries of Pakistan: An empirical study. The Journal of Academic Librarianship, 49(6), Article 102803. https://doi.org/10.1016/j.acalib.2023.102803
Aslam, S., Jabeen, M., & Jabeen, M. (2025). Fostering innovation in smart library services: An in-depth exploration of empowered capabilities and dynamic strategies among university librarians in Pakistan. Information Development. Advance online publication. https://doi.org/10.1177/02666669241305379
Breeding, M. (2023). AI potential benefits and concerns for libraries: Instead of just providing the interfaces and tools, would AI-based systems be able to create metadata and content according to library conventions and standards? Computers in Libraries, 43(4), 17–20.
Chahal, A., & Gulia, P. (2019). Machine learning and deep learning. International Journal of Innovative Technology and Exploring Engineering, 8(12), 4910–4914. https://doi.org/10.35940/ijitee.L3550.1081219
Claudé, M., & Combe, D. (2018). The roles of artificial intelligence and humans in decision making: Towards augmented humans? A focus on knowledge-intensive firms [Master’s thesis, Umeå University]. DiVA. https://umu.diva-portal.org/smash/record.jsf?pid=diva2%3A1230135
Connaway, L. S., & Radford, M. L. (2021). Research methods in library and information science (7th ed.). Libraries Unlimited.
Cook, M., Lischer-Katz, Z., Hall, N., Hardesty, J., Johnson, J., McDonald, R., & Carlisle, T. (2019). Challenges and strategies for educational virtual reality. Information Technology and Libraries, 38(4), 25–48. https://doi.org/10.6017/ital.v38i4.11075
Cox, A. M., Pinfield, S., & Rutter, S. (2019). The intelligent library: Thought leaders’ views on the likely impact of artificial intelligence on academic libraries. Library Hi Tech, 37(3), 418–435. https://doi.org/10.1108/LHT-08-2018-0105
Creswell, J. W. (2009). Mapping the field of mixed methods research. Journal of Mixed Methods Research, 3(2), 95–108. https://doi.org/10.1177/1558689808330883
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Echedom, A. U., & Okuonghae, O. (2021). Transforming academic library operations in Africa with artificial intelligence: Opportunities and challenges: A review paper. New Review of Academic Librarianship, 27(2), 243–255. https://doi.org/10.1080/13614533.2021.1906715
Flick, U. (Ed.). (2014). The SAGE handbook of qualitative data analysis. SAGE Publications. https://doi.org/10.4135/9781446282243
Frederick, D. E. (2020). Librarians in the era of artificial intelligence and the data deluge. Library Hi Tech News, 37(7), 1–7. https://doi.org/10.1108/LHTN-03-2020-0029
Gul, S., & Bano, S. (2019). Smart libraries: An emerging and innovative technological habitat of the 21st century. The Electronic Library, 37(5), 764–783. https://doi.org/10.1108/EL-02-2019-0052
Haq, I. U. (2021). A citation analysis of Pakistan Library & Information Science Journal from 2004 to 2020. Library Philosophy and Practice (e-journal), Article 5487. https://digitalcommons.unl.edu/libphilprac/5487/
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
Harisanty, D., Anna, N. E. V., Putri, T. E., Firdaus, A. A., & Noor Azizi, N. A. (2025). Is adopting artificial intelligence in libraries urgency or a buzzword? A systematic literature review. Journal of Information Science, 51(2), 511–522. https://doi.org/10.1177/01655515221141034
Howard, J. (2019). Artificial intelligence: Implications for the future of work. American Journal of Industrial Medicine, 62(11), 917–926. https://doi.org/10.1002/ajim.23037
Huang, Y.-H. (2024). Exploring the implementation of artificial intelligence applications among academic libraries in Taiwan. Library Hi Tech, 42(3), 885–905. https://doi.org/10.1108/LHT-03-2022-0159
Huang, Y., Cox, A. M., & Cox, J. (2023). Artificial intelligence in academic library strategy in the United Kingdom and the mainland of China. The Journal of Academic Librarianship, 49(6), Article e102772. https://doi.org/10.1016/j.acalib.2023.102772
Hussain, A. (2023). Use of artificial intelligence in library services: Prospects and challenges. Library Hi Tech News, 40(2), 15–17. https://doi.org/10.1108/LHTN-11-2022-0125
Hussain, A., & Ahmad, S. (2024). Mapping the literature on artificial intelligence in academic libraries: A bibliometrics approach. Science & Technology Libraries, 43(2), 131–146. https://doi.org/10.1080/0194262X.2023.2238198
Janiesch, C., Zschech, P., & Heinrich, K. (2021). Machine learning and deep learning. Electronic Markets, 31(3), 685–695. https://doi.org/10.1007/s12525-021-00475-2
Jha, S. K. (2023). Application of artificial intelligence in libraries and information centers services: Prospects and challenges. Library Hi Tech News, 40(7), 1–5. https://doi.org/10.1108/LHTN-06-2023-0102
Kieslich, K., Keller, B., & Starke, C. (2022). Artificial intelligence ethics by design: Evaluating public perception on the importance of ethical design principles of artificial intelligence. Big Data & Society, 9(1), 1–12. https://doi.org/10.1177/20539517221092956
Kim, H.-N., Freddolino, P. P., & Greenhow, C. (2023). Older adults’ technology anxiety as a barrier to digital inclusion: A scoping review. Educational Gerontology, 49(12), 1021–1038. https://doi.org/10.1080/03601277.2023.2202080
Kliushnyk, I. A., Kolesnykova, T. O., & Shapoval, O. S. (2019). Unified digital infrastructure of the modern scientific library on the basis of web technologies. Science and Transport Progress: Bulletin of Dnipropetrovsk National University of Railway Transport, 1(79), 64–80. https://doi.org/10.15802/stp2019/160434
Kotarba, M. (2018). Digital transformation of business models. Foundations of Management, 10(1), 123–142. https://doi.org/10.2478/fman-2018-0011
Krishna, C. V., Rohit, H. R., & Mohana. (2018, August 30–31). A review of artificial intelligence methods for data science and data analytics: Applications and research challenges [Proceedings of In 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), Palladam, India. https://doi.org/10.1109/I-SMAC.2018.8653670
Maddikunta, P. K. R., Pham, Q.-V., Prabadevi, B., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., & Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26, Article e100257. https://doi.org/10.1016/j.jii.2021.100257
Marshall, B., Cardon, P., Poddar, A., & Fontenot, R. (2013). Does sample size matter in qualitative research?: A review of qualitative interviews in IS research. Journal of Computer Information Systems, 54(1), 11–22.
Marsico, G. (2019). Intelligence artificielle: Un bénéfice pour les patients? [Artificial intelligence: A benefit for patients?]. Soins, 64(838), 40–41. https://doi.org/10.1016/j.soin.2019.06.008
Okunlaya, R. O., Syed Abdullah, N., & Alias, R. A. (2022). Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education. Library Hi Tech, 40(6), 1869–1892. https://doi.org/10.1108/LHT-07-2021-0242
Omame, I. M., & Alex-Nmecha, J. C. (2020). Artificial intelligence in libraries. In N. E. Osuigwe (Ed.), Managing and adapting library information services for future users (pp. 120–144). IGI Global. https://doi.org/10.4018/978-1-7998-1116-9.ch008
Pence, H. E. (2022). Future of artificial intelligence in libraries. The Reference Librarian, 63(4), 133–143. https://doi.org/10.1080/02763877.2022.2140741
Philbeck, T., & Davis, N. (2018). The fourth industrial revolution. Journal of International Affairs, 72(1), 17–22.
Rao, T. V. N., Gaddam, A., Kurni, M., & Saritha, K. (2021). Reliance on artificial intelligence, machine learning and deep learning in the era of Industry 4.0. In S. K. H. Islam & D. Samanta (Eds.), Smart healthcare system design: Security and privacy aspects (pp. 281–299). Wiley. https://doi.org/10.1002/9781119792253.ch12
Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students (5th ed.). Pearson Education.
Sinsel, S. R., Riemke, R. L., & Hoffmann, V. H. (2020). Challenges and solution technologies for the integration of variable renewable energy sources—A review. Renewable Energy, 145, 2271–2285. https://doi.org/10.1016/j.renene.2019.06.147
Tella, A. (2020). Repackaging LIS professionals and libraries for the fourth industrial revolution. Library Hi Tech News, 37(8), 1–6. https://doi.org/10.1108/LHTN-02-2020-0016
Tella, A., & Ajani, Y. A. (2022). Robots and public libraries. Library Hi Tech News, 39(7), 15–18. https://doi.org/10.1108/LHTN-05-2022-0072
Tsai, T.-H., Lin, W.-Y., Chang, Y.-S., Chang, P.-C., & Lee, M.-Y. (2020). Technology anxiety and resistance to change behavioral study of a wearable cardiac warming system using an extended TAM for older adults. PLOS ONE, 15(1), Article e0227270. https://doi.org/10.1371/journal.pone.0227270
Vijayakumar, S., & Sheshadri, K. (2019). Applications of artificial intelligence in academic libraries. International Journal of Computer Sciences and Engineering, 7(16), 136–140.
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11, Article e233. https://doi.org/10.1038/s41467-019-14108-y
Wójcik, M. (2021). Augmented intelligence technology: The ethical and practical problems of its implementation in libraries. Library Hi Tech, 39(2), 435–447. https://doi.org/10.1108/LHT-02-2020-0043
Woschank, M., Rauch, E., & Zsifkovits, H. (2020). A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics. Sustainability, 12(9), Article e3760. https://doi.org/10.3390/su12093760
Yang, L., Henthorne, T. L., & George, B. (2020). Artificial intelligence and robotics technology in the hospitality industry: Current applications and future trends. In B. George & J. Paul (Eds.), Digital transformation in business and society: Theory and cases (pp. 211–228). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-08277-2_13
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education—Where are the educators? International Journal of Educational Technology in Higher Education, 16, Article 39. https://doi.org/10.1186/s41239-019-0171-0
Zhang, C., & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, Article e100224. https://doi.org/10.1016/j.jii.2021.100224
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