A Survey of Drivers of Performance on Women-Owned Small and Medium Enterprises in Selected Markets in Nandi County Kenya
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Date
2017-06
Authors
Jepchirchir, Jane
Journal Title
Journal ISSN
Volume Title
Publisher
Kenyatta University
Abstract
Women are becoming increasingly important in the socio-economic development of
both developed and developing economies as they account for significant percentage
of the operators of small and medium enterprises (SMEs). This research study sought
to survey the drivers of performance on women-owned small and medium enterprises
in selected markets in Nandi county Kenya. The study was guided by the following
objectives: To determine how leadership styles affect performance, to find out the
effect of skills on performance and to establish the extent in which socio-cultural
factors affect performance of women-owned SMEs in selected markets in Nandi
County Kenya. The target population was 310 women and managers in tailoring,
retail kiosks and shops, food kiosks, hotels, salons and barber shops, green grocers
and cereals stalls. The sample of between 20% and 30% was adequate for a
population of below 1000; the researcher used 30% of the target population. This
implied that 93 respondents was the sample size for the study. The researcher
employed a simple random sampling technique in identifying the respondents.
Questionnaires were used to collect data, having both open and close ended questions.
The questionnaire was given to the business owners of the women enterprises in
selected markets in Nandi County. The researcher used expert and supervisors of
Kenyatta University to ascertain validity of the research. Reliability was ensured
through split-half method, where the instrument was pilot in two groups within
Eldoret town. The pilot tested scores was used to calculate Cronbach Alpha where a
value greater than 0.7 indicated that the instrument was reliable. Quantitative data was
analyzed in terms of themes, while qualitative data was analyzed through statistical
techniques using frequency counts and percentages. SPSS aided in coding and entry
analysis. Data was presented by use of bar graphs, pie charts and percentages.
Description
A Research Project Submitted to the School of Business in Partial Fulfillment of the Requirement for the Award of Degree in Master of Business (Hrm Option) of
Kenyatta University