The effect of knowledge management processes on employee performance through mediation of employee satisfaction: A case of tanneries in the Oromia region
DOI:
https://doi.org/10.20372/star.V13.i4.15Keywords:
Knowledge, Performance, Satisfaction, Tannery, OrganisationalAbstract
Downloads
Metrics
References
Ahmad, A., Bello, M. U., Kasim, R., & Martin, D. (2014). Positivist and non-positivist paradigm in social science research: Conflicting paradigms or perfect partners? Journal of Management and Sustainability, 4(3).
https://doi.org/10.5539/jms.v4n3p79
Akhavan, P., & Mahdi Hosseini, S. (2016). Social capital, knowledge sharing, and innovation capability: an empirical study of R&D teams in Iran. Technology Analysis and Strategic Management, 28(1), 96–113. https://doi.org/10.1080/09537325.2015.1072622
Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly: Management Information Systems, 25(1), 107–136.
https://doi.org/10.2307/3250961
Alegre, J., Sengupta, K., & Lapiedra, R. (2013). Knowledge management and innovation performance in a high-tech SMEs industry. International Small Business Journal, 31(4), 454–470.
https://doi.org/10.1177/0266242611 417472
Alshammary, F. M., & Ali, D. A. (2024). Role of knowledge management process in fostering Employee performance: Assessing the moderating effect of smart technologies. International Journal of Religion, 5(3), 111–127.
https://doi.org/10.61707/nejef243
Asrar-ul-Haq, M., & Anwar, S. (2016). A systematic review of knowledge management and knowledge sharing: Trends, issues, and challenges. Cogent Business and Management, 3(1), 0–17. https://doi.org/10.1080/233119744
Barbier, L., & Tengeh, R. (2022). Factors influencing the implementation of knowledge management in the South African government. International Journal of Research in Business and Social Science (2147- 4478), 11(7), 47–61.
https://doi.org/10.20525/ijrbs.v11i7.2035
Boateng, G. O., Neilands, T. B., & Frongillo, E. A. (2018). Best practices for developing and validating scales for health , social, and behavioral research: A primer. Frotier in Public Health Review, 6(June), 1–18.
https://doi.org/10.3389/fpubh.2018.00149
Dong, Y., Bartol, K. M., Zhang, Z. X., & Li, C. (2017). Enhancing employee creativity via individual skill development and team knowledge sharing: Influences of dual-focused transformational leadership. Journal of Organizational Behavior, 38(3), 439–458.
https://doi.org/10.1002/job.2134
Endende, K. L., Kwasira, J., & Makhamara, F. (2022). Knowledge creation practices and employee performance in selected public technical vocational education and training institutions in Kenya. European Journal of Human Resource Management Studies, 6(1), 34–53.
https://doi.org/10.46827/ejhrms.v6i1.1
Fadaie, N., Lakbala, P., & Ghanbarnejad, A. (2023). Impact of knowledge management on job satisfaction and organizational performance among healthcare employees: A structural equation modeling approach. Health Science Reports, 6(9), 1–9.
https://doi.org/10.100 2/hsr2.1560
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research, 29(3), 430–447.
https://doi.org/ 10.1108/IntR-12-2017-0515
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2022). Partial least squares structural equations.
https:// doi.org/10.1007/978-3-030-80519-7_5
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
https://doi.org/10.1007/s11747-014-0403-8
Marcoulides, K. M., Foldnes, N., & Grønneberg, S. (2019). Assessing model fit in structural equation modeling using appropriate test statistics. Structural Equation Modeling, 27(3), 369–379. https://doi.org/10.1080/10705511. 2019.1647785
Masadeh, R., Almajali, D. A., Alrowwad, A., & Obeidat, B. (2019). The role of knowledge management infrastructure in enhancing job satisfaction: A developing country perspective. Interdisciplinary Journal of Information, Knowledge, and Management, 14(January), 1–25.
Muhidin, S. A., Hufad, A., Sutarni, N., Islamy, F. J., Rasto, R., & Inayati, T. (2022). Knowledge management and job performance in higher education: The role of leadership and organizational culture. AL-ISHLAH: Jurnal Pendidikan, 14(4), 5155–5168.
https://doi.org/10.35445/alishlah.v14i4.1765
Orzano, A. J., McInerney, C. R., Scharf, D., Tallia, A. F., & Crabtree, B. F. (2007). A knowledge management model: Implications for enhancing quality in health care. Journal of the American Society for Information Science and Technology, 59(3), 489–505.
https://doi.org/10.1002/asi.20763
Salmerón, R., García, C. B., and García, J. (2018). Variance inflation factor and condition number in multiple linear regression. Journal of Statistical Computation and Simulation, 88(360), 2365–2384. https://doi.org/10.1080/ 00949655.2018.1463376
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2020). Handbook of market research. In Handbook of Market Research (Issue July).
https://doi.org/10.1007/978-3-319-05542-8
Shrestha, N. (2020). Detecting multicollinearity in regression analysis. American Journal of Applied Mathematics and Statistics, 8(2), 39–42.
https://doi.org/10.12691/ajams-8-2-1
Sinaga, S. P. H., Maulina, E., Tresna, P. W., Sukoco, I., Purnomo, M., & Kostini, N. (2020). Knowledge management and employee performance: A systematic literature review. Russian Journal of Agricultural and Socio-Economic Sciences, 101(5), 150–159.
https://doi.org/10.18551/rjoas.2020-05.16
Ştefan, S. C., Popa, I., Olariu, A. A., Popa, Ş. C., & Popa, C. F. (2024). Knowledge management–performance nexus: Mediating effect of motivation and innovation. Business Process Management Journal, 30(8), 27–48.
https://doi.org/10.1108/BPMJ-07-2023-0537
Tekle, K. (2024). Role of knowledge management practices in enhancing innovation and competitiveness in the Ethiopian leather industry. African Journal of Information and Knowledge Management, 3(1), 26–39.
https://doi.org/10.47604/ajikm.2428
Tohidinia, Z., & Mosakhani, M. (2010). Knowledge sharing behaviour and its predictors. Industrial Management and Data Systems, 110(4), 611–631.
https://doi.org/ 10.1108/02635571011039052
Wah, N. K. (2023). Assumptions for structure equation modeling (SEM), normality of data distribution analysis & model fit measures. Journal of Clinical Epidemiology & Toxicology, 4(2), 1–5. https://doi.org/10.47363/jcet/2023(4)135
Downloads
Published
How to Cite
License
Copyright (c) 2024 Journal of Science, Technology and Arts Research
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
STAR © 2023 Copyright; All rights reserved