Knowledge Management Processes and Innovative Practices as Correlates of Librarians' Productivity: A Factor Analysis Approach
Authors
Department of Library and Information Sciences, Federal University, Dutse, Jigawa (Nigeria)
University Library Federal University, Dutse, Jigawa (Nigeria)
Department of Library and Information Sciences, Federal University, Dutse, Jigawa (Nigeria)
Department of Library and Information Sciences, Federal University, Dutse, Jigawa (Nigeria)
Article Information
DOI: 10.51584/IJRIAS.2026.11050157
Subject Category: Management
Volume/Issue: 11/5 | Page No: 1893-1909
Publication Timeline
Submitted: 2026-05-08
Accepted: 2026-05-13
Published: 2026-06-09
Abstract
The study investigated the relationships among Knowledge Management Process (KMP) factors influencing librarians’ innovative performance in information service delivery in Nigerian libraries with the aim of establishing a framework for enhancing library services in the face of rapid technological advancement. The adopted a concurrent mixed-research approach employing both quantitative data through correlation research design using descriptive and multivariate factor analysis methods and a qualitative data through an in-depth interview method on a sampled 207 librarians. The study found that knowledge sharing through social-media and blogs, Cloud-Based library systems, facilitating knowledge transfer through collaborative platforms and adopting Artificial Intelligence are the innovative KM practices that improve librarians’ productivity. Inadequate ICT infrastructure and resistance to change are impediments to KM Adoption. Using a factor analysis approach, the study explores the underlying multidimensional relationships among KM and innovative practice variables and condenses them into a smaller set of components for model and instrument development. The study found that the KM process (creation, dissemination and sharing) (β=0.348, t=5.899, p < .01, N = 207) and innovative practices (β=0.620, t=10.496, p < .01, N = 207) enhance librarians’ productivity. The results of the factor analysis revealed a 0.960 KMO, showing an adequate sample size. The study identified and retained 4 factors with sufficient eigenvalue in Factor 1 (15.549), Factor 2 (7.791), Factor 3 (4.134), and Factor 4 (2.261), significantly greater than the randomly generated eigenvalue of parallel analysis. The CFA revealed CMIN/DF=1.389, RMSEA=0.043, TLI=0.990, and CFI=0.991, which provides an acceptable hypothetical model. The findings were used to develop a KM framework “Innovative KM Process Conceptual Framework” as the contribution of the study. The study highlights the importance of the factor analysis approach as a mechanism for enhancing librarians' productivity and improving library services and recommends the application of a strategic approach to increase productivity.
Keywords
Knowledge Management Process, KM Innovative Practices, Factor Analysis Approach
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References
1. Abubakar, A. M., Elrehail, H., Alatailat, M. A., and Elçi, A. (2019). Knowledge management, decision-making style, and organizational performance. Journal of Innovative Knowledge 4, 104–114. doi: 10.1016/j.jik.2017.07.003 [Google Scholar] [Crossref]
2. Alijanzadeh, E., Razavi, A.S. & Limuni, S.T. (2020). Predicting Job Performance Based on Knowledge Management. Journal of Management and Accounting Studies 8(4) 34–38, DOI: https://doi.org/10.24200/jmas.vol8iss04pp34-38 [Google Scholar] [Crossref]
3. Ayodele, S. K., & Ajayi, J.L. (2021). Emotional Intelligence, Knowledge Sharing and Productivity of Librarians in Selected Academic Libraries in Ondo State, Nigeria. International Journal of Academic Libraries and Information Science 9(9): 439-454 https://doi.org/10.14662/ijalis2021415 [Google Scholar] [Crossref]
4. Chicana-Huanca, S., Gutierrez-Aguilar, O., Ticona-Apaza, F., Calliñaupa-Quispe, G. & Chicana-Huanca, B. (2022) "Influential Factors in Knowledge Management in the Acceptance of M-Learning in University Students," 2022 17th Iberian Conference on Information Systems and Technologies (CISTI), Madrid, Spain. pp. 1-4, DOI: 10.23919/CISTI54924.2022.9820224 [Google Scholar] [Crossref]
5. Cochran, W.G. (1977). Sampling Techniques. 3rd Edition, John Wiley & Sons, New York. [Google Scholar] [Crossref]
6. Cruthaka, C. (2019). The Factor Analysis of Knowledge Management Process for Public University Lecturers in Bangkok. Asian Journal of Education and Training, 5(3): 403-407. [Google Scholar] [Crossref]
7. Diab, Y. (2021). The Concept of Knowledge Sharing in Organizations (Studying the Personal and Organizational Factors and Their Effect on Knowledge Management). Management Studies and Economic Systems (MSES), 6 (1/2), 91-100 file:///C:/Users/Hp/Downloads/PublicationofKnowledgemanagement.pdf [Google Scholar] [Crossref]
8. Elezi, E. & Bamber, C. (2018). A Guiding Conceptual Framework for Individualized Knowledge Management Model Building. Management Dynamics in the Knowledge Economy 6(3), pp.343-369; DOI 10.25019/MDKE/6.3.01 [Google Scholar] [Crossref]
9. Ghosh, P., Milton, T. & Mohanta, G.C. (2024). The Factors Influencing Effectiveness of Knowledge Management (KM) in Organizations. International Journal for Multidisciplinary Research (IJFMR), 6(1), 1-10. https://www.ijfmr.com/papers/2024/1/12077.pdf [Google Scholar] [Crossref]
10. Gnawali, A. (2020). Knowledge Management Practices and Its Impact on the Performance of IT Companies in Nepal. East African Scholars Journal of Economics, Business and Management; 3(6): 530-537. DOI: 10.36349/EASJEBM.2020.v03i06.072 [Google Scholar] [Crossref]
11. Inków, M. (2020). Organizational innovation capability as a result of knowledge management processes - a literature review. Management 24(1) 143-156. DOI: 10.2478/manment-2019-0040 [Google Scholar] [Crossref]
12. Israel, G.D. (1992). Determining Sample Size. University of Florida Cooperative Extension Service, Institute of Food and Agriculture Sciences, EDIS, Florida. [Google Scholar] [Crossref]
13. Li, C., Ashraf, S.F., Shahzad, F., Bashir, I., Murad, M., Syed, N. & Riaz, M. (2020). Influence of Knowledge Management Practices on Entrepreneurial and Organizational Performance: A Mediated-Moderation Model. Frontiers in Psychology 11(577106) 1-15 doi: 10.3389/fpsyg.2020.577106 [Google Scholar] [Crossref]
14. Mittal, S. & Kumar, V. (2019). Study of Knowledge Management Models and their Relevance in Organisations. Int. J. Knowledge Management Studies, 10(3) 322-335 [Google Scholar] [Crossref]
15. Munir, S. (2022). Dummies Guide to Best Practices in Knowledge Management. Retrieved from https://blog.vidizmo.com/knowledge-management-best-practices (Accessed on 30th July 2022) [Google Scholar] [Crossref]
16. Olayemi, O.M. & Olayemi, K.J. (2021). Knowledge sharing practices among African health sciences librarians. Journal of the Medical Library Association JMLA, 109(4) 624-630 DOI: dx.doi.org/10.5195/jmla.2021.1183 [Google Scholar] [Crossref]
17. Rezaei, F., Khalilzadeh, M. & Soleimani, P. (2021). Factors Affecting Knowledge Management and Its Effect on Organizational Performance: Mediating the Role of Human Capital. Hindawi Advances in Human-Computer Interaction 1-16 https://doi.org/10.1155/2021/8857572 [Google Scholar] [Crossref]
18. Saied, M.A.A., Wahba, M., Abdel-Bary, A.A.W. & Ghanem, A.N. (2021). The Impact of Knowledge Management on Service Quality: The Mediating Role of Organization Learning (Applied Study: Alexandria Water Company). Open Access Library Journal, 8(e7683) 1-15 https://doi.org/10.4236/oalib.1107683 [Google Scholar] [Crossref]
19. Tahleho, T.E. & Ngulube, P. (2022). Knowledge Sharing and the Improvement of Service Delivery in an Academic Library. International Journal of Knowledge Management 18(1) 1-13 DOI: 10.4018/IJKM.291704 [Google Scholar] [Crossref]
20. Ugwu, C. I., & Ejikeme, A. (2023). Knowledge management, organizational culture and job performance in Nigerian university libraries. IFLA Journal, 49(1), 99–116. https://doi.org/10.1177/03400352221103896 [Google Scholar] [Crossref]
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