臺灣博碩士論文加值系統

我國2016年發生各類道路交通事故計560,171萬件，以每件事故涉及2位當事人計，每年約有1,120萬 342 萬民眾面臨道路交通事故所衍生之刑事、民事與行政責任，並耗費醫療資源高達220億元，如考量社會成本更難以估計，影響深遠，故如何以科學方法正確有效分析道路交通事故，作為工程改善、交通執法策略與教育宣導之依據，以有效防制交通事故，降低事故之傷害，減少人員財物損失，避免社會成本支出，防範國家資源之耗損甚為重要。
內政部警政署為能完整蒐集道路交通事故資料，避免人為因素產生後續影響且應當前法規需求，針對交通事故統計分析其特性與趨勢，利用資訊科技技術建置道路交通事故資訊e化系統(TAS)，除能完整收集處理交通事故資訊，減少人員因素之錯誤情形，提升處理人員效率增加人力與組織效能，並能有效降低交通事故發生機率，更與其他行政機關資源相互結合運用發揮最大化之效益。
本研究以社會交換理論方法驗證系統是否達成預期建置的目標與效益，蒐集論文、期刊、書籍、文章，找出相關理論與資料，並使用科技接受模型作為本研究的基礎，設計問卷內容與實地實行問卷調查，使用相關的統計軟體(spss軟體)分析問卷資料，檢視與驗證問卷數據效益以分析統計資料，提供理論與模型相關結論與建議，達成道路交通事故e化系統(TAS)建置之最大效益，進一步提供更新系統的建議藍圖。

In our country, there were 560,171 million pieces of road traffic accidents in 2016, involving about 12.24.2 million people each year facing criminal, civil and administrative responsibilities derived from road traffic accidents and consuming medical resources Up to 22 billion such as considering social costs more difficult to estimate, far-reaching impact, how to effectively and effectively analyze the road traffic accident by scientific method, as the basis for project improvement, traffic law enforcement strategy and education propaganda, so as to effectively prevent traffic accidents, reduce the damage of accidents, reduce the loss of personnel property, avoid social expenses, prevent the country The depletion of resources is important.
The Ministry of the Interior Police Department, in order to collect information on road traffic accidents, to avoid the follow-up effects of human factors and to analyze the characteristics and trends of traffic accidents, to use the information technology technology to build road traffic accident information system (TAS), in addition to a complete collection of traffic accident information, reduce the personnel factors of the error situation, improve the efficiency of the staff to increase manpower and organizational efficiency, and can effectively reduce the probability of traffic accidents, and other administrative resources combined with the use of maximizing The benefits.
In this study, the social exchange theory is used to verify whether the system achieves the goal and benefit of the expected construction. It collects papers, periodicals, books and articles, finds relevant theories and materials, and uses the science and technology acceptance model as the basis of this study. Field survey, use the relevant statistical software (spss software) to analyze the questionnaire data, view and verify the validity of the questionnaire data to analyze the statistical data, provide theoretical and model-related conclusions and recommendations to achieve the maximum benefit of the road traffic accident system (TAS), and further provide a blueprint for updating the system.

Table of Contents
Chapter 1 Introduction 1
1.1Construction of road traffic accident information e system (hereinafter referred to as TAS) background 1
1.2 Research motives 3
1.3 Research purposes 6
1.4 Research motives 8
1.5 Expected benefits 9
Chapter2 Literature Review 11
2.1 Research theory 11
2.2 Technology acceptance model 19
2.2.1. Rational Action Theory (TRA) 20
2.2.2 Project Behavior Theory (TPB) 25
2.2.3 Differences between TRA and TPB 27
2.2.4 Conclusion 29
2.3Model variable 30
2.4The use of TAM 32
2.5Adjusted technology acceptance model 38
2.6Construction of road traffic accident information e system description 42
2.6.1 Field processing end 44
2.6.2 Front-end operations 45
2.6.3 Midrange operation 46
2.6.4 Back-end operations 49
2.6.5 Public service system 51
2.6.6 System goals 55
Chapter3 Research Method 59
3.1 Literature review 59
3.2Research Mode 61
3.3Research scopes 63
3.4Research design 65
3.5Data analysis content 67
3.6Object of study 69
3.7Survey design 69
3.8 Satistical method 74
Chapter4 Research discovery and discussion 81
4.1Narrative statistics 81
4.1.1 Usefulness 82
4.1.2 Ease of use 84
4.1.3 Satisfaction to use 87
4.1.4 Trust to use 89
4.1.5 Persistence to use 91
4.2 Descriptive Statistics of model 95
4.3Analysis of Pearson 's Correlation Coefficient in Research Model 96
4.4 Regression analysis of model 98
4.5Model Summary 100
4.6The study found 101
Chapter5 Conclusion 109
5.1Analysis conclusion 109
5.2Contribute to the individual 110
5.3Contribution to the organization 111
5.4For academic contribution 113
References 115
Appendix1 Questionnaire 125
Appendix 2 Table Contents 133
Appendix 3 Figure Contents 145

List of Tables
Table 1-1 Research Scope llustration 8
Table 3-1 Research scopes llustration 64
Table 3-2 ANOVA Table 76
Table 4-1 Basic Information List of Respondents 82
Table 4-2 Usfeulness 83
Table 4-3 Ease of use 86
Table 4-4 Satisfaction to ues 88
Table 4-5 Trust to ues 90
Table 4-6 Presisitence to ues 93
Table 4-7 Descriptive Statistics 96
Table 4-8 Correlations 97
Table 4-9 ANOVAa 98
Table 4-10 Coefficientsa 100
Table 4-11 Model Summary 101
Table 4-12 ANOVAa 102

 
List of Figures
Figure 2-1 Rational action theory[18] 22
Figure 2-2 Program Behavior Theory[19] 26
Figure 2-3 Technology Acceptance Model[17] 30
Figure 2-4 Technology Acceptance Model (Adjusted) 38
Figure 2-5 Traffic Accident Information 44
Figure 2-6 Field processing side operation screen 45
Figure 2-7 Front-end system function screen 46
Figure 2-8 End Audit System Function Screen 48
Figure 2-9 End Audit System Function Screen 48
Figure 2-10 End Audit System Function Screen 49
Figure 2-11 End Audit System Function Screen 50
Figure 2-12 End Audit System Function Screen 50
Figure 2-13 Service screen for people 52
Figure 2-14 Service screen for people 52
Figure 2-15 Service screen for people 53
Figure 2-16 Service screen for people 54
Figure 2-17 Service screen for people 54
Figure 3-1 Technology Acceptance Model (Adjusted) 63
Figure 3-2 TAM Model Hypothesis 68
Figure 4-1 TAM Model Hypothesis 107

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