Title Page
Abstract
List Of Abbreviations
Contents
CHAPTER ONE. INTRODUCTION 12
1.1. Background of the study 12
1.2. Problem statement 17
1.3. Research Question 19
1.4. Research Objectives 19
1.5. Hypothesis 20
1.6. Interest of the topic 20
1.7. Significance of the study 21
1.8. Scope of Study 22
1.9. Overview 22
CHAPTER TWO. LITERATURE REVIEW 24
2.1. General 24
2.2. Internet Technology 24
2.3. IT in Mobiles 29
The growth of mobile phone coverage across Africa 29
Adopting Mobile Phones on Less than a Dollar per Day 30
Mobile Money Banking the Unbanked? 30
2.4. Delivering cash transfers: what role for mobiles? 31
2.5. Impact pathways 33
CHAPTER THREE. METHODOLOGIES 35
3.1. General description of the study area 35
Relief 36
3.2. Primary Data and Secondary Data 37
3.3. Data Collection 37
3.4. Models 38
General Methods in Use 38
Suggesting a Model 38
3.5. Model on Internet Cash Transfer 40
Internet Cash Transfer 40
Regression Model variables on Internet Cash Transfer 40
3.6. Model on Mobile Cash Transfer 41
Mobile Cash Transfer Usage 41
Regression Model variables on Cash Transfer 42
3.7. Justification of Variables 43
3.8. Data Analysis 44
3.9. Expected Results 44
CHAPTER FOUR. RESULTS AND DISCUSSION 45
4.1. INTERPRETATION OF SURVEY'S RESULTS 45
Country profile 45
Socio-economic factors of Rwanda (CIA's Factbook, 2017 45
Southern Province 48
4.2. Survey Findings. 49
4.3. Models constructed 56
Model Build Up 56
Normality Tests 56
Correlation Tests. 57
Models constructed 59
Step-Wise regression 59
CHAPTER FIVE CONCLUSION AND RECOMMENDATION 68
5.1. Conclusion 68
5.2. Policy Recommendations 71
Recommendations for humanitarian agencies and Non-profitorganization 72
Recommendations for Government 73
Recommendations for Private Sector 73
Literature Cited 75
Appendixes 79
a. Questionnaire 79
b. Data Application 90
요약 91
Table 1. Variables Measurement table 39
Table 2. Independent Variable table 41
Table 3. Independent Variable table 42
Table 4. Socio-Economic Factors of Rwanda 45
Table 5. Descriptive Statistics 49
Table 6. Correlation Tests 58
Table 7. Internet Cash Transfer - Model Summary 60
Table 8. Internet Cash Transfer - Anova 60
Table 9. Internet Cash Transfer - Coefficients 61
Table 10. Internet Cash Transfer - Model Summary After Dropout 62
Table 11. Internet Cash Transfer - Anova After Dropout 63
Table 12. Internet Cash Transfer - Coefficients After Dropout 63
Table 13. Mobile Cash Transfer - Model Summary 64
Table 14. Mobile Cash Transfer - Anova 64
Table 15. Internet Cash Transfer - Coefficients 65
Table 16. Mobile Cash Transfer - Model Summary After Dropout 65
Table 17. Internet Cash Transfer - Anova After Dropout 66
Table 18. Internet Cash Transfer - Coefficients After Dropout 66
Figure 1. Conceptual framework of social cash transfers 34
Figure 2. Nyamagabe district in Southern Province of Rwanda 35
Figure 3. Rwandan population distribution 47
Figure 4. Are of residence 51
Figure 5. Gender with Occupation Distribution 52
Figure 6. District vs Mobil Cash Transfer Usage 53
Figure 7. District vs Internet Cash Transfer 54
Figure 8. Gender vs Mobile 55
Figure 9. Gender vs Internet 55
Figure 10. Regression analysis, P-P Plots in SPSS 57