Knowledge Sharing For Research In Academic Institutions In Kenya

Abstract

The study assessed knowledge sharing for research in academic institutions in Kenya with Strathmore University as the case study. This study incorporated qualitative and quantitative elements. Population consisted of Strathmore University academic staff. The following objectives guided the research: to explore knowledge sharing policies for research at Strathmore University, to identify existing knowledge sharing methods for research, to suggest ways of enhancing knowledge sharing for research and lastly to identify factors affecting knowledge sharing for research in Strathmore University. The study employed qualitative and quantitative research design influenced by objectives of research, target population, sampling method and data collection tools. This study targeted a population of 127 academic staff with a sample size of 96 academic staff. Simple random sampling was used on selected respondents for the questionnaire and purposive sampling for interview schedule. Research data collection was by questionnaires and interview guides whereby quantitative data analysis from questionnaire was through Statistical Package for Social Science (SPSS) and presented using percentage charts, pie charts and frequency distribution tables while qualitative data interpreted for clear understanding. Findings established that knowledge sharing policies, practices, methods and framework as determinants for effective knowledge sharing for research in academic institution. Additionally, the study revealed individual perception, motivational programs, organization structure and technology as immediate factors that influenced sharing knowledge for research. The study therefore recommended the adoption of knowledge sharing policies, practices and framework to address knowledge sharing cycle all the way from capture, storage and use, which will in turn give directions on issues of quality, ownership among others. The study also recommends the adoption of technology to enhance knowledge sharing for research. This entails trainings on the existing software and platforms as well as integration of technology in knowledge sharing programs. Finally, the study recommends incorporation of motivational programs to enhance sharing of knowledge. These include recognitions (acknowledgement or promotions) and monetary values (salary increment, incentives, tokens and bonus) where necessary to facilitate knowledge sharing for research in academic institutions.