Digital Transformation: Libraries Implementing Advanced IT Solutions like AI and Data Analytics to Improve Services
Keywords:
Cataloguing, Artificial Intelligence, Data analytics, Machine learningAbstract
The digital transformation of libraries is reshaping traditional information management and service delivery, driven by advanced IT solutions such as Artificial Intelligence (AI) and data analytics. The study explores how libraries are adopting these technologies to enhance operational efficiency, improve user experience, and offer innovative services. Through case studies from various library systems worldwide, this study highlights the implementation of AI for personalized recommendations, automated cataloging, and AI-powered virtual assistants. Additionally, the role of data analytics in optimizing resource management, forecasting demand, and evaluating user engagement is examined. It also discusses the challenges faced by libraries, including data privacy concerns, budget constraints, and staff training needs, while emphasizing the opportunities for increased accessibility, operational cost savings, and improved community outreach. Ultimately, the findings suggest that AI and data analytics are essential tools for libraries to stay relevant in the digital age, fostering a more efficient, inclusive, and user-centric service model. This study provides valuable insights for libraries and other organizations seeking to integrate advanced technologies into their operations to meet the evolving needs of their users.
Downloads
References
Bass, J. M., & Slade, R. (2020). Digital transformation and disruption: How business leaders can thrive in the 4th industrial revolution. Business Expert Press.
Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, 37(2), 471-482. https://doi.org/10.25300/MISQ/2013/37.2.12
Brown, M. K., & Thomas, J. P. (2018). The future of libraries: Digital transformation and technology-driven services. Oxford University Press.
Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch, M. (2013). Embracing digital technology: A new strategic imperative. MIT Sloan Management Review, 54(3), 1-12.
Gorman, G. E., & Clayton, P. (2019). Digital libraries and digital preservation: A practical guide to technology and management. Neal-Schuman Publishers.
Hildreth, C. R., & Auster, A. (2021). AI in libraries: Using artificial intelligence and machine learning to improve library operations and user experience. Elsevier.
Hoover, S., & Davenport, T. H. (2021). AI in libraries: The future of library services and technology integration. ALA Editions.
Kane, G. C., Palmer, D., Phillips, A. N., Kiron, D., & Buckley, N. (2015). Strategy, not technology, drives digital transformation: Lessons from the leading edge. MIT Sloan Management Review and Deloitte University Press.
Lipinski, D., & Jackson, M. (2020). Big data and libraries: A practical guide to integrating analytics into library services. American Library Association.
McMenemy, D. (2019). Library 4.0: A guide to the digital revolution in libraries. Facet Publishing.
O'Connor, M., & O'Connor, J. (2019). The digital transformation of library services: The impact of emerging technologies on academic libraries. Rowman & Littlefield.
Raju, R., & Whitmire, A. (2019). The library technology report: Emerging trends and opportunities in library technology and the role of libraries in a digital world. American Library Association.
Rogers, D. L. (2016). The digital transformation playbook: Rethink your business for the digital age. Wharton School Press.
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118-144. https://doi.org/10.1016/j.jsis.2019.01.003
Waller, J., & Schott, L. (2019). Data analytics in academic libraries: Insights and approaches to better serving patrons. Springer.
Westerman, G., Bonnet, D., & Ferraris, P. (2020). Leading digital: Turning technology into business transformation. Harvard Business Review Press.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Dr. V.J. Hema Reji (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Article published in Academic Research Journal of Science and Technology (ARJST) is an open access under the Creative Commons Attribution 4.0 International License -BY, (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
