FACTORS AFFECTING THE PERFORMANCE OF WOMEN ENTREPRENEURS IN MICRO ...

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The two programs have started some local network initiatives in some parts of the country, notably in Amhara and Tigray regions. The objective of the network is to enable the skill trainees enter the private sector workforce. By so doing, additional employment and incomes would be gained for the trained youth. On the other hand the private business sector would enjoy more profit from the skilled labour input produced from the TVET system. The strategy adopted by the TVET and the SME Projects is to bring all stakeholders that work in collaboration with the two Ethio-German Programs together and devise viable ways of linking skill training to employment in the MSE sector. The interest and good will shown for networking in the two Ethio-German programs is apparently encouraging and expected to produce a synergy effect in the pursuit of economic development and employment promotion. 32
CHAPTER THREE METHODOLOGY In this chapter the research design used, the data gathering methods and tools; sampling and sampling procedures and the methods of data analysis are discussed very well. 3.1 Design of the study A descriptive survey research design was employed in the study to assess the key factors that affect the performance of women entrepreneurs in MSEs in Dessie town. The reason for using this design is that it enables to describe the different factors that affect the performance of women entrepreneurs in MSEs as they exist. 3.2 Population, sample and sampling techniques The population of the study consisted of 2,026 women entrepreneurs who work in 5 sectors of MSEs. So as to get a reasonable sample size, a 95% level of confidence and a 6.5% confidence interval was used to select a sample of 203 Women entrepreneurs in these MSEs. For selecting these samples of entrepreneurs, stratified sampling was used in which the 5 key sectors that woman entrepreneurs are engaged was taken as strata so as to give equal chance to each of the sectors. From each sector, 10% of women entrepreneurs in MSEs were selected randomly using lottery method by taking list of respondents from the MSE’s office. For microfinance, MSE heads and TVET leaders, purposive sampling was used. Top officials of these institutions (Dessie Micro finance manager, MSEs Core process owner, and W/ro Siheen TVET dean) were purposely taken and interviewed since the researcher believes that they know the condition better than others because of their day –to- day contacts with women entrepreneurs. 33
Page 1 and 2: \ FACTORS AFFECTING THE PERFORMANCE
Page 4 and 5: BAHIRDAR UNIVERSITY DEPARTMENT OF E
Page 6 and 7: TABLE OF CONTENTS Contents Page ACK
Page 8 and 9: LIST OF TABLES Table 1 Pros and con
Page 10 and 11: ABSTRACT This study was designed to
Page 12 and 13: According to Aregash as cited in Es
Page 14 and 15: Entrepreneurship education is desig
Page 16 and 17: addresses the training, machine, fi
Page 18 and 19: CHAPTER TWO REVIEW OF RELATED LITER
Page 20 and 21: 2.1.2 The benefits of entrepreneurs
Page 22 and 23: Besides this, Gemechis (2007), Hisr
Page 24 and 25: 2.2 Women entrepreneurship Women’
Page 26 and 27: ventures than women; male owners we
Page 28 and 29: United States as sited in UNECE (20
Page 30 and 31: entrepreneurship as a career option
Page 32 and 33: that can be offered as collateral f
Page 34 and 35: entrepreneurs in MSEs use and devel
Page 36 and 37: Micro Enterprises are those small b
Page 38 and 39: • Networking with all organizatio
Page 40 and 41: • Integrating in teaching learnin
Page 44 and 45: The following table summarizes the
Page 46 and 47: scores and deviations among respond
Page 48 and 49: Table 4. Respondents’ demographic
Page 50 and 51: As can be seen from the table ,majo
Page 52 and 53: As one can see from the table above
Page 54 and 55: Table11. Family entrepreneurial his
Page 56 and 57: Table 13. Economic factors that aff
Page 58 and 59: current states that these factors h
Page 60 and 61: Table 15. Legal and administrative
Page 62 and 63: The grand mean (2.49) and grand sta
Page 64 and 65: given to women entrepreneurs in ord
Page 66 and 67: eturning what they have borrowed. B
Page 68 and 69: finances allow women to be organize
Page 70 and 71: CHAPTER FIVE SUMMARY, CONCLUSION AN
Page 72 and 73: • Of the major factors that affec
Page 74 and 75: entrepreneurs, NGOs, banks and othe
Page 76 and 77: REFERENCES Admassie,A. & Amha,W. (2
Page 78 and 79: Negash, Z. & Kena, T. (2003). State
Page 80 and 81: APPENDICES 70
Page 82 and 83: 4. Marital status A. Married B. Sin
Page 84 and 85: PART 3: FACTORS AFFECTING WOMEN ENT
Page 86 and 87: Part 4: Support areas of TVETs to M
Page 88 and 89: APPENDIX C BAHIR DAR UNIVERSITY POS
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