Assessment of Artificial Intelligence Technology on Job Performance of University Librarians in Nigeria
DOI:
https://doi.org/10.64348/zije.2026377Abstract
The study investigated the impact of artificial intelligence (AI) on the job performance of librarians in some selected university libraries in Nigeria. The descriptive survey design was used in this investigation. 113 librarians who were recruited from some selected university libraries in Nigeria make up the study's population. For the study, a self-made questionnaire was employed. Descriptive statistics were used to extract 95 of the 113 copies of the questionnaire that were disseminated. A mean score of 2.5 or above and a percentage score of 50% were deemed satisfactory. The study shows the impact of artificial intelligence (AI) in university libraries in the following order: Increased productivity through automation, enhanced decision-making from data analysis, reduced human error, advanced data analysis and boosting productivity. The study further affirmed how the application of artificial intelligence (AI) in university libraries influences lib how the application of artificial intelligence (AI) in university libraries influences librarian’s job performance: automating routine tasks, increasing efficiency, Smart decision making, speed up job performance, automating routine tasks, increasing efficiency, Smart decision making, speed up job performance Speed up job performance. The study recommends that to support and promote the use of smart technology in library operations, the government should enhance funding for university libraries, The library should have a functional standby generator and an inverter, and the power supply should be sufficient and the library should hire qualified IT technical specialist.
References
Ajulor, E. O., & Achonna, A. U. (2020). Use of ICT facilities in three polytechnic libraries: Comparative study. International Journal of Research in Library Science (IJRLS), 6(2), ISSN: 2455-104X. DOI: 10.26761/IJRLS.6.2.2020.1329 DOI: https://doi.org/10.26761/IJRLS.6.2.2020.1329
Akinyemi, O. E., & Afolabi, T. R. (2023). ICT Application and Information Service Delivery in South-West Nigeria’s Public Polytechnic Libraries. Library Philosophy and Practice (e journal), 8049. https://digitalcommons.unl.edu/libphilprac/8049
Asefeh, A., & Asemi, A. (2018). Artificial intelligence (AI) application in library systems in Iran: A taxonomy study. Library Philosophy and Practice, 1840.
Bakare, O. D. (2023). Emerging technologies as a panacea for sustainable provision of library services in Nigeria. In Global Perspectives on Sustainable. Library Practices, 1-21, IGI Global. DOI: https://doi.org/10.4018/978-1-6684-5964-5.ch001
Burgess, A. (2015). The Role of Employees in Charitable Foundations: A Comprehensive Review. Journal of Nonprofit Management, 25(2), 87-101
Cameron, K. S., & Quinn, R. E. (2020). Diagnosing and changing organizational culture: Based on the competing values framework. John Wiley & Sons
Carpini, S.K. Parker, M.A., & Griffin, G.(2017). A look back and a leap forward: A review and systhesis of the individual work performance literature ,Academy of Management Annals, 11 (2) 825-885 DOI: https://doi.org/10.5465/annals.2015.0151
Cascio, W. F., & Boudreau, J. W. (2022). High-Impact HR Organization: A New Definition for an Old Concept. Journal of Applied Behavioral Science, 58(1), 5-31
Forbes. (2014). The Performance Crisis: Understanding and Addressing the Issue. Retrievedfrom: https://www.forbes.com/sites/work-in-progress/2014/02/18/the-performancecrisis understanding-and-addressing-the-issue/#27c1a4d66c13.
Jiang, L., Hu, J., & Chen, X. (2019). The Impact of Organizational Culture on Employee Engagement: A Longitudinal Study. Journal of Organizational Behavior, 36(4), 521-537.
Johnson, W. L. (2021). Case study: Rapid training of community health workers using Enskill. International Journal of Advanced Corporate Learning, 14(2), 44-49. DOI: https://doi.org/10.3991/ijac.v14i2.25929
Kleiner, S., & Rothbard, N. P. (2019). Creating a Positive Work Environment: Strategies and Outcomes. Journal of Applied Psychology, 104(5), 789-804
Ogundele, D. (2019). Human capital development and employee retention. A study of selected commercial banks in Nigeria. Unpublished Master’s dissertation, Department of Human Resource Management, Kampala International University.
Organ, D. W., Podsakoff, P. M., & MacKenzie, S. B. (2019). Organizational citizenship behavior: Recent trends and developments. Annual Review of Organizational Psychology and Organizational Behavior, 6, 363-388.
Redek, T., Marčič, E., Maldonado, A. C. B., da Silva, A. R. P., & Shenstone, P. M. J. (2023). Artificial Intelligence in Brief: The Development and Impact of AI Technologies. Beyond Bits and Algorithms
Schmitz, J. (2019). Talent Acquisition and Retention Challenges in the Modern Job Market. Human Resources Review, 42(3), 201-215.
Shuck, B., Reio, T. G., & Rocco, T. S. (2011). Employee Performance and Job Satisfaction: AMeta-Analysis. Journal of Applied Psychology, 96(1), 77-93.
Smith, A., & Brown, C. (2023). AI-Enhanced Library Management Systems: Trends and Innovations.Library Management, 44(4), 278-290.
Tella, A. (2020). Robots are coming to the libraries. Are librarians ready to accommodate them?Library Hi Tech News, 37(8), 13-17. https://doi./10.1108/LHTN-05-2020-0047 Walker, DOI: https://doi.org/10.1108/LHTN-05-2020-0047
K. W., & Jiang, Z. (2019). Application of adaptive boosting (AdaBoost) in demand-driven acquisition (DDA) prediction: A machine-learning approach. Journal of Academic Librarianship, 45(3), 203-212. https://doi.org/10.1016/j.acalib.2019. 02.013 DOI: https://doi.org/10.1016/j.acalib.2019.02.013
Wheatley, A., & Hervieux, S. (2019). Artificial intelligence in academic libraries: An environmental scan. Information Services & Use, 39(4), 347-356.https://doi.org/10.3233/isu-190065 DOI: https://doi.org/10.3233/ISU-190065
