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研究生: 阮明孝
研究生(外文): Nguyen Minh Hieu
論文名稱: Investigating Drivers for Users’ Adoption of E-government Information Systems: An Empirical Study Based on a Service Portal in Lai Chau, Vietnam
論文名稱(外文): Investigating Drivers for Users’ Adoption of E-government Information Systems: An Empirical Study Based on a Service Portal in Lai Chau, Vietnam
指導教授: 董信煌
學位類別: 碩士
校院名稱: 樹德科技大學
系所名稱: 資訊管理系碩士班
論文出版年: 99
畢業學年度: 99
語文別: 英文
論文頁數: 80
中文關鍵詞: e-governmentIS adoptiontechnology acceptance modelonline business license serviceempirical studyVietnam
外文關鍵詞: e-governmentIS adoptiontechnology acceptance modelonline business license serviceempirical studyVietnam
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  • 被引用:0
  • 點閱:9
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Information and communication technology and the Internet have reshaped the mind and life of many people around the globe. By taking advantages of these technologies, governments around the world are introducing e-government services to better serve their citizens. One of the primary goals in building a Lai Chau e-government system is to provide online business registration services to the citizens and businesses of Lai Chau, Vietnam. This study is to examine factors influencing users’ adoption of the online business license service portal in Lai Chau. Based on literature review, we propose a research model founded on the well-known technology acceptance model (TAM). Our model theorizes that external variables including local government support, communication and service quality can affect users’ perceived ease of use and perceived usefulness in TAM. An empirical study was conducted to validate the proposed model. Questionnaires based on validated items from previous studies were distributed to several work places in Lau Chau. A total of 107 complete responses were collected for statistical analysis. Our results show that each hypothesis in the research model is supported with a high significance level. Managerial implications for the e-government service operators will be discussed.

Information and communication technology and the Internet have reshaped the mind and life of many people around the globe. By taking advantages of these technologies, governments around the world are introducing e-government services to better serve their citizens. One of the primary goals in building a Lai Chau e-government system is to provide online business registration services to the citizens and businesses of Lai Chau, Vietnam. This study is to examine factors influencing users’ adoption of the online business license service portal in Lai Chau. Based on literature review, we propose a research model founded on the well-known technology acceptance model (TAM). Our model theorizes that external variables including local government support, communication and service quality can affect users’ perceived ease of use and perceived usefulness in TAM. An empirical study was conducted to validate the proposed model. Questionnaires based on validated items from previous studies were distributed to several work places in Lau Chau. A total of 107 complete responses were collected for statistical analysis. Our results show that each hypothesis in the research model is supported with a high significance level. Managerial implications for the e-government service operators will be discussed.

Abstract  i
Acknowledgments  ii
Table of Contents  iii
List of Tables  v
List of Figures  vi
Chapter 1 Introduction  1
1.1  Environment and Research Facilities  1
1.2  Research Motive  5
1.3  Research Objectives  6
1.4 Research Procedure  7
Chapter 2 Literature Review  10
2.1 Defining E-government  11
2.2 Transformation Areas  13
2.3  E-government in Vietnam  15
2.4 Technology Acceptance Model (TAM)  17
2.4.1 Independent Variables  18
2.4.2 Dependent Variables  18
2.4.3 External Variables  18
2.5 External Variables on TAM for OLBS in Lai Chau Province  18
2.5.1 Local Government Support  18
2.5.2 Service Quality  19
2.5.3 Communication  21
2.6 TAM and E-government  23
Chapter 3 Research Methodology  25
3.2 Research Model  27
3.3 Research Hypotheses  28
3.4 Measurement  29
3.5 Research Method  31
Chapter 4 Analysis and Results  36
4.1  Sample Description  36
4.2  Measurement Model  37
4.2.1  Convergent Validity  38
4.2.1.1  Item Loadings  38
4.2.1.2  Internal Composite Reliability  40
4.2.1.3  Average Variance Extracted  41
4.2.1.4  Cronbach Alpha Coefficient  41
4.2.1.5  T-values on Outer Loadings  42
4.2.2  Discriminant Validity  43
4.3  Structural Model Evaluation  46
4.3.1  Variance Explained  46
4.3.2  Assessment of Path Coefficients  47
4.3.3  Hypotheses  48
Chapter 5 Conclusions  50
5.1  Finding and Contribution  50
5.2  Limitation  51
5.3  Future  51
5.4  Conclusion  52
References  53
Appendix 1 Research Questionnaire  61
Appendix 2 Vietnamese Questionnaire  65

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