Relationship Between Enterprise Profile and Micro- Enterprise Growth at Kamukunji in Nairobi, Kenya (original) (raw)

Relationship between Entrepreneur Profile and Microenterprise Growth at Kamukunji in Nairobi, Kenya

DBA-Africa Management Review, 2017

The paper provides knowledge on the relationship between entrepreneur profile and micro-enterprise growth at Kamukunji. A correlational survey research design meets the objective of the study. The sample includes 354 micro-enterprises selected by systematic sampling from Kamukunji Jua Kali Association membership register in 2006. Data were collected using interview and observation guides, and field notes. Independent variables include age, gender, education, ethnicity, religion, marital status, father, and mother occupation. Dependent variables contain growth in sales, employees, departments, and divisions. Descriptive statistics such as frequency distribution, percentages, standard deviation, cross tabulation, and non-parametric analysis of variance were used in data analysis. The study provides results on factors influencing micro-enterprise growth at Kamukunji and findings useful to entrepreneurs, consultants, researchers, and policy makers mainstreaming micro-enterprise growth.

Factors Affecting the Successful Growth and Survival of Small and Micro Enterprises (SMEs) in Zimmerman Ward, Nairobi County – Kenya

Global Journal of Management and Business Research, 2017

Small and micro- enterprises play an important role in developing a country even though they are not given adequate attention and have been biased towards larger and listed enterprises. This study investigates the factors affecting the successful growth and survival of small and micro- enterprises in Zimmerman ward, Nairobi County. The survey utilized a descriptive research design whereby descriptive statistics based on frequency tables and graphs provided information on demographic variables. Data was collected through questionnaire instrument. Convenience sampling technique was used because of the rationale that respondents were easily accessible. Statistical Package for Social Sciences 20.0 was used to analyze and present results. Techniques used included percentage analysis, samples and mean analysis. Inferential statistics (Pearson Product-Moment Correlation Coefficient) and multiple regressions were then applied to determine prediction level of the variables.

Constraints to Growth Transition of Micro Enterprises into Small Enterprises in Kisii County, Kenya

International Journal of Social Science and Humanities Research (IJSSHR) ISSN 2959-7056 (o); 2959-7048 (p)

This study intends to explore the constraints facing entrepreneurs in the micro enterprises sector. Micro enterprises play a significant role in the country’s economy. Many countries in the world have realized the importance of micro and small enterprises (MSEs) and therefore are working to improve their performance and competitiveness. In Kenya, MSEs cut across all sectors of the country’s economy and provide one of the most prolific sources of employment not to mention the breeding ground for small, medium and larger industries, which are critical for industrialization today. These enterprises are found in every corner of Kenya and they have great potential for creating a variety of jobs, while generating widespread economic benefits. It is in the light of the above that the study is designed to establish the challenges facing growth of microenterprise. The study was a descriptive study and was limited to Kisii County, Kenya. Questionnaires were used for data collection and descri...

Factors Influencing Growth of Small and Microenterprises in Nairobi Central Business District

Aims: The study sought to examine the factors influencing growth of Small and Medium Scale Enterprises in Nairobi Central Business District in Kenya. The study was guided by the following specific objectives: to examine the extent to which access to credit influences growth of SMEs in Nairobi CBD; to explore the extent to which age of the firm influences growth of SMEs in Nairobi CBD; and to assess the extent to which level of education of the entrepreneur influences growth of SMEs in Nairobi CBD. The specified econometric model has firm growth as the dependent variable, and the independent variables include access to credit, age of the firm and education level. Study design: The study adopted a descriptive research design. Place and duration of the study: Given the nation-wide spread of SMEs in Kenya, the population of interest in this study included all registered SMEs in manufacturing sector of Nairobi CBD. The study took a period of one month. Methodology applied: The study targeted 80 questionnaires, however 75 questionnaires were successfully filled and returned (93.8%) response rate. The collected data from the questionnaire and secondary sources was systematically organized in a manner to facilitate analysis. The data pertaining to profile of the respondents and the organizations were analyzed using content analysis. Quantitative data was analyzed using content analysis while quantitative data was analyzed using descriptive statistics, which include frequencies, percentages, means cores and standard deviations. In order to establish the relationship between the independent and dependent variables, inferential statistics were used. A Statistical model was specified to examine the effect of access to credit on the growth of the SMEs in Nairobi CBD. Results: The factors were ranked in terms of extent of influence of each factor on growth of SMEs, where only responses related to (5) a very great extent; (4) to a great extent; and (3) to a moderate extent were considered. The rankings show that whereas access to credit was considered as having the highest positive influence on growth of SMEs, educational level of the entrepreneur was ranked second and age of the SMEs was ranked third. Multiple regression analysis was employed to evaluate constraints to customer satisfaction by determining the magnitude and or direction of the relationship between the study variables. Conclusion: There is a strong demand for the government to elaborate and implement policies and strategies for financing SMEs as well as for developing and improving financial institutions and financial instruments; there is a need to harmonize those policies and strategies as well as the instruments for implementing them; and the legal framework plays an important role in the creation and successful operation of SMEs and should encourage a simplification of the procedures involved in the creation, financing, training and other aspects of the SME sector. Keywords: Access to credit, small and medium scale enterprises, firm growth, start-up capital, survey method, econometric method.

Factors Determining the Growth of Micro and Small Enterprises -Abiy Serawitu(PhD)

www.iiste.org, 2022

This research aims to investigate factors that are determining the growth of MSEs on wood and metal, garment, food processing and shoe and leather sectors in the case on manufacturing small enterprises in dire dawa city administration. For the sake of achieving the objectives of this study, Likert-scale type and multiple choice questionnaires was analyzed using appropriate host of statistical methods such as descriptive and inferential analyses. The information assembled through questionnaire from a population of 42 small manufacturing enterprises and face-to-face interview for 20 representative or owners of the enterprises. The empirical study elicited eight major challenges which seem to affect performance of manufacturing small enterprises in city. Descriptive findings revealed that marketing, working premises and financial factors respectively were found the three top most severe problems that challenged the MaSEs sector in GTP1 period. Similarly, the inferential analyses output also indicated that marketing, working premise, finance and technological factors are the decisive determinants for the performance of MaSEs at 5% level of significance. Likewise, standardized beta coefficient exhibited that marketing factors followed by working premise and technological factor respectively were found the top three positive significance factors in the performance of the enterprises. Both inferential sand descriptive finding revealed that managerial and entrepreneur's factors were found the least determinant and problems for the growth of employment in the city administration .Whereas, infrastructure factors found to be moderately significance factor at 10%level of significance.

Effect Of Growth Of Small And Medium Enterprises On Economic Development In Kajiado County, Kenya

2018

Small and Medium Enterprises (SMEs) are notably the engines that drive economic development. It is assumed that the growth of SMEs will improve the lifestyle of Kenyans, reduce unemployment and lower poverty levels yet many of them do not have longevity. SMEs contribution to economic development is considerable through avenues like cultivating innovation, improving competition, providing services and goods and economic dynamism. This study investigated the effect of growth of SMEs on economic development in Kenya as it is assumed that failure to focus on economic development is an essential reason as to why most SMEs decline and ultimately some die. The inspiration for starting an SME was worth examining. It was therefore essential to be investigate whether SMEs are established to enhance the welfare of the proprietor for the long term or whether SMEs are established to merely provide families with meagre extra incomes to enable them meet their immediate individual obligations on a day to day basis. Economic Development does not only consist of boosting the Gross National Product of a country but it also addresses a decline in individual poverty level, eradication of illiteracy and enhancing the standard of living for the individual. There are many theories on economic development but the selected theories that bear the greatest relevance to this study were the Neoclassical Theory, the Dependency Theory and the Entrepreneurship and Innovation Theory. This study adopted a descriptive survey research design. The population was updated from 134 contractors to 60 contractors. The sample size was 45 contractors giving a response rate of 75 per cent. A five-point structured Likert scale questionnaire was used to collect primary data. Qualitative analysis consisting of recombining, tabulating, categorizing and examining evidences was used to answer the research questions. The Statistics Package for Social Sciences (SPSS) Statistics version 23 was used in entry, coding and analysis of quantitative data collected through the questionnaire. Multiple linear regression analysis was used to assess the effect of the predictor variables on the dependent variable. This study sensitized the entrepreneur on the real reason as to why he or she is establishing an SME. The study findings were useful to the Kenya Government to guide in formulation of relevant policies that will ensure SMEs are created to impact economic development and not just economic growth. The study also contributed significantly to new knowledge and provoked researchers to evaluate a multidimensional theory that embraces all possible aspects of SME growth rather than focusing on individual factors. It also provoked researchers to come up with theories that effectively describe why some SMEs grow and others fail in contributing to economic development.

DETERMINANTS OF GROWTH IN MICRO AND SMALL ENTERPRISES (MSEs): A CASE OF JIMMA TOWN

International Journal of Research in Commerce, IT and Management, 2017

The government of Ethiopia has paid due attention for the promotion and development of micro and small enterprises as they are important vehicle to enhance employment, economic growth and equity in the country. The purpose of the study is to analyze the growth determinants of MSEs growth in Jimma town. In line with the objective, the role of initial investments on the firm, location and sector in which the firm operate, marketing access and business development service as main determinants of growth of an enterprise was analyzed. The binary model which is logistic regression was used to see the effects of identified determinant on growth of MSEs using change in employment size as proxy of growth. The binary choice result shows as location different has a significant effect on the growth of MSEs with accessible/town centre growing faster than those inaccessible/out of town. In addition, the initial investment on the firm and the sector in which the MSEs operates matter a lot for the growth of these enterprises. Hence, government and non-government organizations need to take these factors in to account to accomplish better result and increase the potential contribution of MSEs to the economic growth of the country.

Owner Characteristics and Growth of Micro and Small Enterprises in Nairobi City County in Kenya

2017

In Kenya, past statistics indicate that over 50% of MSEs continue to have deteriorating performance with three out of five MSEs failing within the first few months of operation In recent times, there has been an extensive amount of literary research devoted to investigate factors influencing growth of micro and small enterprises. Nevertheless, the bulk of such research tends to concentrate on MSEs in developed countries. Very limited studies have provided such research on MSEs in Africa, and even less in Kenya. This research sought to access the link between owner characteristics and growth of MSEs in Nairobi City County. It aims to contribute to the understanding of the factors that influence the growth of micro and small enterprise (MSE). The study variables include entrepreneurial readiness, demographic characteristics, entrepreneurial orientation and personality traits. This research adopted descriptive research design. The target population under this study consisted of 125,123...