![]() This situation limits the life choices and constrains the creativity of a vast population, while leaving an enormous amount of entrepreneurial and productive potential untapped. Poor access to information, inputs, skills, finance and markets affect women disproportionately due to gender-related barriers at different levels: the household, the community, the institutions and the economy at large. Women in developing countries face multiple challenges when setting up or developing local businesses. Key words: Infrastructural facilities support, Business incubation, Technology based new venture creation. On policy implications, the study identified the policy gaps that need to be addressed in relation to provision of infrastructural facilities support in the new venture creation ecosystem by business incubators in Kenya. The business incubation practitioners can use the finding of this study to model a roadmap for incubation of technology based new venture creation in Kenya while entrepreneurs will be able to appreciate how infrastructural facilities support provided by business incubators can help them to overcome the liability of smallness and newness. Unique contribution to theory, practice and policy: The study recommends integration of incubation models for a better understanding of the business incubation process. Therefore, the null hypothesis was rejected at 0.005 significance level. The Pearson’s correlation coefficient was r=0.343, p<0.05 and the beta value was 0.260, p<0.05 and t test value was 8.518, p<0.05. Results: The study revealed that infrastructural facilities support had a positive significant effect on technology based new venture creation. ![]() ![]() Quantitative data was analysed using descriptive and inferential statistics while qualitative data was analysed using qualitative data analysis method. Data from incubator managers was collected using a structured interview schedule while cross sectional survey was conducted for the incubatees using a structured questionnaire. Census was applied for the incubator managers and Stratified Random sampling was used to arrive at a sample size of 185 incubatees, and the response rate was 82.2 % for incubatees and 88.9% for incubator managers respectively. The population of study was 9 business incubator managers and 384 incubatees in Nairobi Metropolitan. Methodology: The study adopted descriptive research design. Purpose: The study sought to assess the effect of infrastructural facilities support provided by business incubators on technology based new venture creation in Kenya.
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