Conclusion Conclusion 32 A Framework Of Trust in Crowdsourcing: A Case Of Catastrophic Event.

TABLE OF CONTENT CHAPTER SUBJECT PAGE DECLARATION ii DEDICATION iii ACKNOWLEDGEMENTS iv ABSTRACT v ABSTRAK vi TABLE OF CONTENT vii LIST OF TABLES xi LIST OF FIGURES xivc CHAPTER 1 INTRODUCTION 1.1. Introduction 1.2. Research background 1.3. Problem Statement 1.4. Project Question 1.5. Project Objective 1.6. Project Scope 1.6.1. Catastrophic Event 1.6.2. Random sample size 1.7. Random sample size 1.8. Thesis Organization

1.9. Conclusion

1 1 3 4 4 5 5 5 6 6 9 CHAPTER 2 LITERATURE REVIEW 2.1. Introduction 2.2. Definition of crowdsourcing 2.3. Type of crowdsourcing 2.4. Characteristics of Crowdsourcing in Catastrophic Event 2.5. Platform of crowdsourcing 2.5.1. Emergency Response 2.5.2. Natural Disaster 2.5.3. Hazardous Event 2.6. Trust in crowdsourcing 2.6.1.Definition of trust 2.6.2. General model of trust 2.6.3.Related work 2.7. Research Gap 2.8. Conclusion 10 10 11 12 14 14 15 15 15 15 16 17 20 20 CHAPTER 3 METHODOLOGY 3.1 Introduction 3.2 Methodology 3.2.1. Phase 1: Develop research question 3.2.2. Phase 2: Research design 3.2.3. Phase 3: Collect Data 3.2.4. Phase 4: Analyses 3.2.5. Phase 5: Validation 3.3. Operational definition 3.4. Formation of hypothesis 3.5. Conceptual framework 3.6. Project milestone PSM 1 and PSM 2 3.7. Conclusion 21 21 22 23 24 24 25 26 27 27 28 30 CHAPTER 4 DATA COLLECTION 4.1. Introduction 4.2. Research instrument design 31 32 4.2.1. Instrument design procedures 4.3. Sampling 4.3.1. Sampling method 4.3.2. Sampling size 4.4. Content validation 4.5. Pilot study 4.5.1. Construct validation 4.6 Data collection

4.7 Conclusion 32

35 35 35 36 37 38 48 48 CHAPTER 5 ANALYSIS 5.1. Introduction 5.2. Data screening 5.2.1. Overall summary of missing data 5.2.2. Variable summary 5.3. Construct analysis 5.3.1. Factor analysis 5.3.2. Reliability analysis 5.4. Scale Score 5.4.1. Social Information 5.4.2. Perceive of quality 5.4.3. Usefulness 5.4.4. Benevolence 5.4.5. Integrity 5.4.6. Competence 5.5. Descriptive statistic 5.5.1. Descriptive statistics of gender 5.5.2. Descriptive statistics of Age 5.5.3. Descriptive statistic of awareness on crowdsourcing according to gender 5.6. T- test between gender and variable 5.6.1. T-test for Social Information 5.6.2. T-test for Perceive of Quality 49 49 50 51 52 52 59 61 61 62 63 64 65 66 66 67 68 69 70 71 72 5.6.3. T-test for Perceive Usefulness 5.6.4. T-test for Benevolence 5.6.5. T-test for Integrity 5.6.6. T-test for Competence 5.6.7. Summary of t-test 5.7. Proposed framework 5.8. Correlation 5.9. Regression 5.9.1. Multiple regression for dependent variable Trust 5.9.2. Regression among variables 5.10. Framework based on regression Values 5.11. Conclusion 72 72 73 73 74 75 76 80 81 83 89 90 CHAPTER 6 VALIDATION AND DISCUSSION 6.1. Introduction 6.2. Structural Modelling Equation 6.3. Validated Trust Framework in Crowdsourcing 6.4. Regression Weight from SEM 6.5. Discussion

6.6. Conclusion 91