Knowledge Transfer as a Determinant of High Performance Workplace in Lake Victoria North Water Services Board, Kenya
The purpose of the study was to investigate knowledge transfer as a determinant of high performance workplace in Lake Victoria north water services board in Kenya. High performance workplace is an environment designed to make workers as effective as possible in providing value and increasing their influence on business on an efficient and effective way. Currently this concept is a driving force for organizational survival especially towards attainment of a sustained competitive advantage. In contemporary world, performance is regarded as a vision based structure where employees are recognized as critical assets of an organization and for it to be realized knowledge transfer should be adopted and practiced. This study was guided by Parsons theory of action where the organization is interrelated to each other. The sample population of two hundred and seventy six consisting of employees and management of the Lake Victoria North Water Services Board was surveyed. The sample was proportionally stratified on the basis of departments within the five water companies under the Board, after which simple random sampling was used to identify the respective respondents. Two hundred and thirty five questionnaires were completed and found to be usable. The data was analyzed using the structural equation modeling (SEM) technique using the Statistical Package for Social Sciences (SPSS 18.0) in conjunction with the Analysis of Moment Structures (AMOS 18.0) software. Structural equation modeling was then utilized to test the hypothesis. Results revealed that knowledge transfer significantly predicted high performance workplace (β = 0.40, p <0.001). The study contributed to discovery of direct effects of knowledge transfer which influence high performance workplace. The findings further indicated that organizations can improve performance by enhancing knowledge transfer and lastly future research could be conducted with a different set of goodness of fit indices. Inclusion of parsimonious fit index is highly recommended.
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