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研究生: Thanh Khiet Ung
Thanh - Khiet Ung
論文名稱: Cross-country Study of Consumer Acceptance for Smart Meter Applications in Residential Buildings
Cross-country Study of Consumer Acceptance for Smart Meter Applications in Residential Buildings
指導教授: 周瑞生
Jui-Sheng Chou
口試委員: Li-Ren Yang
Li-Ren Yang
Yu-Ning Ge
Yu-Ning Ge
Chien-Cheng Chou
Chien-Cheng Chou
Kuo-Hsin Yang
Kuo-Hsin Yang
學位類別: 碩士
Master
系所名稱: 工程學院 - 營建工程系
Department of Civil and Construction Engineering
論文出版年: 2014
畢業學年度: 102
語文別: 英文
論文頁數: 150
中文關鍵詞: smart meterenergy efficiencyconsumer adoptionstructural equation modelingcross-country studyresidential building
外文關鍵詞: smart meter, energy efficiency, consumer adoption, structural equation modeling, cross-country study, residential building
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  • A smart meter is an energy metering device with advanced features that allow consumers to control their energy consumption remotely. Smart meters are widely considered a solution for achieving energy efficiency and sustainable development. In addition to understanding consumer perceptions, expectations and intentions, a clear understanding of the influence of how national values and norms affect smart meter adoption behavior is needed by policy makers and investors in smart grid deployment. The aim of this study was to examine similarities and differences in consumer adoption of smart meters across Taiwan, Korea, Indonesia, and Vietnam. Data obtained from surveys in the four countries were analyzed by structural equation modeling to determine the interacting factors in consumer acceptance of smart meters. Consumer perceptions, expectations, and intentions regarding the potential use of smart meters across the four countries were analyzed and compared. The findings of this study improve understanding of regional differences in consumer adoption of smart grid systems. The findings can also help investors and policy makers involved in smart grid investment decision making. Finally, suggestions are given for maximizing the success of smart grid development in the researched countries.


    A smart meter is an energy metering device with advanced features that allow consumers to control their energy consumption remotely. Smart meters are widely considered a solution for achieving energy efficiency and sustainable development. In addition to understanding consumer perceptions, expectations and intentions, a clear understanding of the influence of how national values and norms affect smart meter adoption behavior is needed by policy makers and investors in smart grid deployment. The aim of this study was to examine similarities and differences in consumer adoption of smart meters across Taiwan, Korea, Indonesia, and Vietnam. Data obtained from surveys in the four countries were analyzed by structural equation modeling to determine the interacting factors in consumer acceptance of smart meters. Consumer perceptions, expectations, and intentions regarding the potential use of smart meters across the four countries were analyzed and compared. The findings of this study improve understanding of regional differences in consumer adoption of smart grid systems. The findings can also help investors and policy makers involved in smart grid investment decision making. Finally, suggestions are given for maximizing the success of smart grid development in the researched countries.

    TABLE OF CONTENTS ABSTRACTi TABLE OF CONTENTSiv LIST OF FIGURESvi LIST OF TABLESvii Chapter 1 INTRODUCTION1 1.1 Research background1 1.2 Research objectives2 1.3 Research process3 Chapter 2 LITERATURE REVIEW5 2.1 Current status of smart meter technology5 2.2 Prior studies of smart meter adoption8 2.3 Effects of country in technology adoption10 2.4 The hypotheses and research model12 Chapter 3 METHODOLOGY19 3.1 Survey process19 3.2 Structural equation modeling22 3.2.1 Chi-square /degrees of freedom ratio25 3.2.2 Goodness of fit index (GFI)26 3.2.3 Adjusted goodness of fit index (AGFI)26 3.2.4 Incremental fit index (IFI)27 3.2.5 Comparative fit index (CFI)28 3.2.6 Tucker-Lewis Index (TLI)28 3.2.7 Root mean square error of approximation (RMSEA)29 3.3 Reliability and validity analysis29 3.3.1 Reliability29 3.3.2 Validity30 3.4 Importance-consumer perceived expectation analysis33 3.5 Consumer adoption propensity index35 Chapter 4 ANALYSIS RESULTS AND DICUSSION37 4.1 Characteristics of respondents37 4.2 Confirmatory analysis and model modification41 Chapter 5 IMPLEMENTATIONS AND APPLICATIONS51 5.1 Managerial Implications51 5.2 Comparison of consumer acceptance cross countries via the CAP index56 5.3 Enhanced strategies for adoption58 Chapter 6 CONCLUSION AND RECOMMENDATIONS62 6.1 Conclusions62 6.2 Future works and recommendations64 REFERENCES65 APPENDIX A QUESTIONNAIRE (ENGLISH VERSION)75 APPENDIX B QUESTIONNAIRE (CHINESE VERSION)81 APPENDIX C QUESTIONNAIRE (KOREAN VERSION)89 APPENDIX D QUESTIONNAIRE (INDONESIAN VERSION)97 APPENDIX E QUESTIONNAIRE (VIETNAMESE VERSION)104 APPENDIX F SPSS AMOS STRUCTURAL MODEL113 APPENDIX G IBM SPSS STATISTICS SURVEY DATA INTERFACE116 APPENDIX H TUTORIAL OF SEM IN SPSS AMOS118

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