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研究生: 曾淑玲
Tsen, Shu-Ling
論文名稱: A TAM Approach toward Online Shopping: Using Personality as the Moderator
A TAM Approach toward Online Shopping: Using Personality as the Moderator
指導教授: 吳萬益
Wu, Wann-Yih
學位類別: 碩士
Master
系所名稱: 管理學院 - 國際經營管理研究所碩士在職專班
Institute of International Management (IIMBA--Master)(on the job class)
論文出版年: 2010
畢業學年度: 98
語文別: 英文
論文頁數: 90
外文關鍵詞: E-service Quality, Perceived Ease of Use, Perceived Usefulness, Personality Traits, Intention to E-Shopping
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  • Rapid growth in global electronic commerce (e-commerce) markets, e-marketers attempt to gain business competitive advantage by creating e-channels to interact with customers. Internet marketing is one of the most important electronic marketing tools for enhancing customer attraction, delivering service and executing transactions. E-service quality is amongst a firm’s competitive capabilities that lead to business performance. Delivering the quality of e-service has been shown to be an important strategy for marketers who try to differentiate their service offerings by establishing customer value and satisfying customer needs. This study integrates to e-shopping and personality traits into a technology acceptance model (TAM) to examine consumer acceptance of e-shopping behavior of Taiwanese consumer experience. A structural equation modeling reveals that e-service quality determines perceptions of ease of use, usefulness, which in turn influence consumer’s intention to e-shopping. In addition, the moderating effects of personality traits have positive significant moderate the relationship among e-service quality, perceived ease of use, and intention to e-shopping. Interestingly, perceived ease of use plays an important role as a mediating effect on perceived usefulness through e-service quality. Therefore, this study provides useful concepts for e-taliers to understand web site attributes influence consumer perceptions of online shopping context.

    ACKNOWLEDGEMENTS I ABSTRACT II TABLE OF CONTENTS I LIST OF TABLES IV LIST OF FIGURES V CHAPTER ONE INTRODUCTION 1 1.1 Research Background and Motivation. 1 1.2 Research Contribution and Objectives. 3 1.3 Research Project and Scope of Study. 4 1.4 Research Procedures. 5 1.5 Research Structure. 6 CHAPTER TWO LITERATURE REVIEW 7 2.1 Theoretical Background. 7 2.1.1 E-Service Quality. 7 2.1.2 Personality Traits. 9 2.1.3 The Technology Acceptance Model (TAM). 10 2.2 Hypotheses Development. 24 2.2.1 The Influence of the e-Service Quality on Perceived Ease of Use. 24 2.2.2 The Influence of the e-Service Quality on Intention to E-Shopping. 25 2.2.3 The Influence of the Perceived Ease of Use on Perceived Usefulness. 26 2.2.4 The Influence of the Perceived Ease of Use on Intention to E-Shopping. 27 2.2.5 The Influence of the Perceived Usefulness on Intention to E-Shopping. 28 2.2.6 The Influence of the Moderating Effect of Personality Traits on the Relationship among E-Service Quality, Perceived Ease of Use, and Intention to E-shopping. 30 CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 33 3.1 The Research Model. 33 3.2 The Construct Measurement Procedures. 34 3.2.1 Personality Traits. 34 3.2.2 E-Service Quality. 35 3.2.3 Perceived Ease of Use. 36 3.2.4 Perceived Usefulness. 36 3.2.5 Intention to E-Shopping. 37 3.2.6 The Information of the Respondents. 37 3.3 The Hypotheses to Be Tested. 38 3.4 Questionnaire and Sampling Design. 38 3.5 Data Analysis Procedures. 40 3.5.1 Descriptive Statistic Analysis. 40 3.5.2 Confirmatory Factor Analysis (CFA). 41 3.5.3 Structural Equation Modeling (SEM). 41 CHAPTER FOUR RESEARCH RESULTS 42 4.1 Characteristics of Respondents. 42 4.2 Descriptive Statistic Analyses. 44 4.3 Confirmatory Factor Analysis (CFA). 46 4.3.1 Convergent Validity Assessment Procedures. 49 4.3.2 Discriminant Validity Assessment Procedures. 52 4.4 Structural Equation Modeling (SEM). 54 4.5 Hierarchical Multiple Regression Analysis. 60 CHAPTER FIVE CONCLUSION AND SUGGESTIONS 64 5.1 Research Discussions and Conclusions. 64 5.2 Managerial Implications. 67 5.3 Research Limitations. 69 5.4 Future Research Direction. 69 REFERENCES 71 APPENDICES 82 Appendix 1: Questionnaire. 82 Appendix 2: Questionnaire result 90 LIST OF TABLES Table 1-1 Scope of this Study 4 Table 2-1 TAM Extension by the Previous Studies 16 Table 4-1 The Characteristics of the Respondents 43 Table 4-2 Descriptive Statistic Analysis of the Variables 45 Table 4-3 The Rules of Thumb of Goodness-of-Fit Assessment for CFA and SEM 47 Table 4-4 The Results of CFA of Personality Traits and E-Service Quality 48 Table 4-5 Convergent Validity Assessments 51 Table 4-6 Inter-Correlation among the Model Variables 53 Table 4-7 The Results of SEM for Proposed and Revised Model—Direct Path Relationships 56 Table 4-8 The Results of Path Relationships of Full Model 60 Table 4-9 The Moderating Effect Testing by Regression Analysis 63 LIST OF FIGURES Figure 1-1. Research flows of this study 5 Figure 2-1. Technology acceptance model (TAM) 14 Figure 2-2. The extension of the technology acceptance model (TAM2) 14 Figure 3-1. The conceptual model of this study 33 Figure 4-1. The CFA of e-service quality 49 Figure 4-2. The CFA of personality traits 49 Figure 4-3. The measurement model for a whole model 52 Figure 4-4. The structure model (originally proposed model) 55 Figure 4-5. The structural model (revised model—without moderating effect) 55

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