Knowledge Transfer as a Determinant of High Performance Workplace in Lake Victoria North Water Services Board, Kenya

  • Benjamin Kipchumba Tarus University of Eldoret; P.O. Box 1125-30100, Eldoret
  • Thomas Kimeli Cheruiyot Moi University, P.O. Box. 3900 30100 Eldoret.
Keywords: Determinant, High Performance, Knowledge Transfer, Workplace, Lake Victoria North Water Services Board

Abstract

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.

References

Anderson, J., & Gerbing, D. (1998). Structural Equation Modeling in Practice: A review and recommended two step approach. Psychological Bulletin, 103, 411-423

Buhler, P. (2002). Streetwise: Human Resources Management. Avon, MA: F+W Publications.

Castaneda, M. (1993). Revisiting the Factor Structure pf LBDQ: An Application of Confirmatory factor analysis. Paper presented at the Annual Meeting of the Academy of Management conference, Atlanta, GA.

Choy, C. S.,Yew,W.K. & Lin, B. (2006). Criteria for Measuring KM Performance Outcomes in Organisations. Industrial Management and Data Systems , 106(7), .917-936

Dougherty, J. (2004). Why Learning isn‘t About Learning, Training, 4(11), 46-7.

Elaine, P. (2002) . The Future for Job Rotation in the Capital: A pilot scheme for London. Final report for ―Job Rotation at Work in London‖ project, p5-8

Hansen, D. Dowling, P. Hitt, M. A. Ireland, R. D. & Hoskisson, R. E., (2005) Strategic Management:
Competitiveness and Globalisation. Pacific Rim Second Edition. Sydney:Thomson.

Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variablesand Measurement Error - Algebra and Statistics. Journal of Marketing Research, 18(3), 382-388.

Goh, S.C. (2002). Managing Effective Knowledge Transfer: An integrative framework and some practice implication. J. Knowl. Manage, 6(1), 23-30

Graham, C.M. & Nafukho, F.M. (2007). Employees‘ Perception Toward the Dimension of Culture in Enhancing Organizational Learning. The Learning Organization 14(3), 281-292

Inkpen, A. & Tsang, E. (2005). Social Capital, Networks, and Knowledge Transfer. Acad. Manage. Rev. 30(1), 146-165

Jöreskog, K. (1993). Testing Structural Equation Models. In K. Bollen and J. Long (Eds.), Testing structural equation models (pp. 294-316). Newbury Park, CA: Sage.

Jöreskog, K., & Sörbom, D. (1989). LISREL 7: A Guide to the Program and Applications. Chicago:SPSS, Inc.

Khan, S.A., (2010). How to Motivate Good Performance Among Government Employees. Pakistan Journal of Social Science, 3(9), 1138-1143.

Liebeskind, J. P. (1996 )."Knowledge, Strategy, and the Theory of the Firm". Strategic Management Journal 17(Winter), 93-107

Major, E.& Cordey-Hayes, M. (2002). Knowledge Translation: A new perspective on knowledge transfer and foresight. Foresight 2(4), 411-423

Nonaka, I. & Takeuchi, H. (1995). The Knowledge-Creating Company. New York: Oxford University Press

Polanyi, M., Eakin, J., Frank, J., Shannon, H., & Sullivan, T. (1996). Creating Healthier Work Environments: A critical review of health impacts of workplace organizational change interventions,Working Paper #39, Institute for Work and Health, Toronto.

Rhodes, D. L., Rechner, P. L. & Sundaramurthy, C. (2008). Board Composition and Financial Performance: A Meta-Analysis of the Influence of Outside Directors. Journal of Managerial Issues, Spring XII (1), pp 76-91.

Smith, W.J, Howard, J.T and Harrington, K.V (2005). Essential Formal Mentoring Characteristics and functions in governmental and nongovernmental organizations from the program administrator‘s and mentor‘s perspective. Public Personnel Manage 34(1), 1-28

Sosik, J.J, Lee, D.L. (2002). Mentoring in Organizations: A social judgment perspective for developing tomorrow‘s leaders. J. Leader. Stud. 8, 17-32

Velada, R & Caetano, A. (2007). Training Transfer: The mediating role of perception of learning. J. Eur. Industrial Train., 31(4), 283-296
Published
2018-09-23
How to Cite
Tarus, B. K., & Cheruiyot, T. K. (2018, September 23). Knowledge Transfer as a Determinant of High Performance Workplace in Lake Victoria North Water Services Board, Kenya. African Journal of Education,Science and Technology, 2(2), pp 42-50. Retrieved from http://ajest.info/index.php/ajest/article/view/282
Section
Articles