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Research Paper | Human Resource Management | Volume 12 Issue 11, November 2023 | Pages: 1387 - 1395 | Kenya
Analysis of Generative Behavior and its Influence on Employee?s Performance in the Ministry of Education, Science and Technology, Kenya
Abstract: Over time in human capital management, employee?s agility has been cited to a logical link with an employee?s productivity and performance. Largely, this has been deemed to apply commercial enterprises. The ability of a staff to voluntarily and actively share information and knowledge while simultaneously learning is said to be a n important measure of employee agility. This study investigated the influence of generative behavior on employee performance in the Ministry of Education Science and Technology (MoEST) in Kenya. The study was founded on Vertical Dyad Linkage Theory. The study adopted a post - positivism research paradigm and used a mixed research design. From a target population of two thousand one hundred and sixteen employees, a purposive sample of 416 employees was drawn. A pilot study was conducted from MoEST employees in Laikipia, Isiolo and Meru counties to pretest the data collection instrument. Confirmatory Factor Analysis (CFA) and test of regression assumptions were carried out prior to inferential analysis using bivariate linear regression analysis. CFA generated eleven quality measures for employee generative behavior with factor loadings between.524 and.941. The results indicated that generative behavior was associated with R - Square of.381, F - statistic of 113.046 and p - value of.000, a beta coefficient value of ?=0.922 and associated p - value of.000
Keywords: Confirmatory Factor Analysis, Generative Behavior, Employee Performance, Regression analysis
How to Cite?: Naomi Nkirote, David Kiragu, "Analysis of Generative Behavior and its Influence on Employee?s Performance in the Ministry of Education, Science and Technology, Kenya", Volume 12 Issue 11, November 2023, International Journal of Science and Research (IJSR), Pages: 1387-1395, https://www.ijsr.net/getabstract.php?paperid=SR231116004119, DOI: https://dx.doi.org/10.21275/SR231116004119