When East meets West: Understanding residents’ home energy management system adoption intention and willingness to pay in Japan and the United States

[1]  G. Hofstede,et al.  Culture′s Consequences: International Differences in Work-Related Values , 1980 .

[2]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[3]  I. Ajzen.  The theory of planned behavior , 1991 .

[4]  G. Zaltman,et al.  Relationships between Providers and Users of Market Research: The Dynamics of Trust within and between Organizations , 1992 .

[5]  S. Schwartz.  Universals in the Content and Structure of Values: Theoretical Advances and Empirical Tests in 20 Countries , 1992 .

[6]  Richard G. Netemeyer,et al.  Price Perceptions and Consumer Shopping Behavior: A Field Study , 1993 .

[7]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[8]  I. Ajzen.  Nature and operation of attitudes. , 2001, Annual review of psychology.

[9]  Steven W. Floyd,et al.  Towards modelling the effects of national culture on IT implementation and acceptance , 2001, J. Inf. Technol..

[10]  Charles J. Kacmar,et al.  The impact of initial consumer trust on intentions to transact with a web site: a trust building model , 2002, J. Strateg. Inf. Syst..

[11]  Ricky Y. K. Chan,et al.  Explaining Green Purchasing Behavior , 2002 .

[12]  Paul A. Pavlou,et al.  Predicting E-Services Adoption: A Perceived Risk Facets Perspective , 2002, Int. J. Hum. Comput. Stud..

[13]  H. Rohracher.  The Role of Users in the Social Shaping of Environmental Technologies , 2003 .

[14]  Mary Jo Bitner,et al.  The influence of technology anxiety on consumer use and experiences with self-service technologies , 2003 .

[15]  L. Oerlemans,et al.  The early adoption of green power by Dutch households : an empirical exploration of factors influencing the early adoption of green electricity for domestic purposes , 2005 .

[16]  F. Kaiser,et al.  Contrasting the Theory of Planned Behavior With the Value‐Belief‐Norm Model in Explaining Conservation Behavior1 , 2005 .

[17]  Kar Yan Tam,et al.  Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services , 2006, Inf. Syst. Res..

[18]  Osamu Saeki,et al.  Effectiveness of an energy-consumption information system for residential buildings , 2006 .

[19]  C. Klöckner,et al.  Applying a Modified Moral Decision Making Model to Change Habitual Car Use: How Can Commitment be Effective? , 2006 .

[20]  Mark Srite,et al.  The Role of Espoused National Cultural Values in Technology Acceptance , 2006, MIS Q..

[21]  P. Devine‐Wright,et al.  Comparing and Combining Theories to Explain Proenvironmental Intentions , 2007 .

[22]  Martin Wetzels,et al.  A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects , 2007, Inf. Manag..

[23]  Dennis F. Galletta,et al.  Applying TAM across cultures: the need for caution , 2007, Eur. J. Inf. Syst..

[24]  Marius Claudy,et al.  Beyond Economics: a Behavioural Approach to Energy Efficiency in Domestic Buildings , 2008 .

[25]  Charles A. Scherbaum,et al.  Exploring Individual‐Level Factors Related to Employee Energy‐Conservation Behaviors at Work , 2008 .

[26]  T. Gärling,et al.  PSYCHOLOGICAL DETERMINANTS OF ATTITUDE TOWARDS AND WILLINGNESS TO PAY FOR GREEN ELECTRICITY , 2008 .

[27]  Chih-Chien Wang,et al.  Extending the technology acceptance model to mobile telecommunication innovation: The existence of network externalities , 2008 .

[28]  Ying-Feng Kuo,et al.  Towards an understanding of the behavioral intention to use 3G mobile value-added services , 2009, Comput. Hum. Behav..

[29]  Byoungsoo Kim,et al.  User behaviors toward mobile data services: The role of perceived fee and prior experience , 2009, Expert Syst. Appl..

[30]  M. L. Gall-Ely,et al.  Definition, Measurement and Determinants of the Consumer's Willingness to Pay: A Critical Synthesis and Avenues for Further Research , 2009 .

[31]  Marine Le Gall-Ely.  Definition, Measurement and Determinants of the Consumer's Willingness to Pay: A Critical Synthesis and Avenues for Further Research , 2009 .

[32]  Cees J H Midden,et al.  The Role of Trust in the Affective Evaluation of Novel Risks: The Case of CO2 Storage , 2009, Risk analysis : an official publication of the Society for Risk Analysis.

[33]  Cheolho Yoon,et al.  The effects of national culture values on consumer acceptance of e-commerce: Online shoppers in China , 2009, Inf. Manag..

[34]  C. Klöckner,et al.  A COMPREHENSIVE ACTION DETERMINATION MODEL , 2013 .

[35]  Jon E. Froehlich,et al.  The design of eco-feedback technology , 2010, CHI.

[36]  K. Tsagarakis,et al.  Assessment of public acceptance and willingness to pay for renewable energy sources in Crete , 2010 .

[37]  G. Hofstede,et al.  Long- versus short-term orientation: new perspectives , 2010 .

[38]  Heesup Han,et al.  Application of the Theory of Planned Behavior to green hotel choice: Testing the effect of environmental friendly activities , 2010 .

[39]  S. Ding,et al.  The impact of agricultural technology adoption on income inequality in rural China: Evidence from southern Yunnan Province , 2011 .

[40]  Lingfeng Wang,et al.  Smart meters for power grid — Challenges, issues, advantages and status , 2011, 2011 IEEE/PES Power Systems Conference and Exposition.

[41]  W. Abrahamse,et al.  Factors Related to Household Energy Use and Intention to Reduce It : The Role of Psychological and Socio-Demographic Variables , 2011 .

[42]  What Influences Young Adults ’ Decision to Adopt New Technology ? , 2011 .

[43]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[44]  L. Steg,et al.  Psychological factors influencing sustainable energy technology acceptance: A review-based comprehensive framework , 2012 .

[45]  D. Mah,et al.  Consumer perceptions of smart grid development: Results of a Hong Kong survey and policy implications , 2012 .

[46]  W. Fichtner,et al.  Smart Homes as a Means to Sustainable Energy Consumption: A Study of Consumer Perceptions , 2012 .

[47]  Saifur Rahman,et al.  Hardware Demonstration of a Home Energy Management System for Demand Response Applications , 2012, IEEE Transactions on Smart Grid.

[48]  E. Thorsteinsson,et al.  The theory of planned behaviour as a model for predicting public opposition to wind farm developments , 2013 .

[49]  M. Loock,et al.  Customer value of smart metering: Explorative evidence from a choice-based conjoint study in Switzerland , 2013 .

[50]  T. J. Gerpott,et al.  Determinants of willingness to pay for smart meters: An empirical analysis of household customers in Germany , 2013 .

[51]  L. Whitmarsh,et al.  Social barriers to the adoption of smart homes , 2013 .

[52]  Vehbi Celik,et al.  Attitudes to technology, perceived computer self-efficacy and computer anxiety as predictors of computer supported education , 2013, Comput. Educ..

[53]  Siddharth Suryanarayanan,et al.  Electric Energy Management in the Smart Home: Perspectives on Enabling Technologies and Consumer Behavior , 2013, Proceedings of the IEEE.

[54]  Xiao-Ping Zhang,et al.  Real-time Energy Control Approach for Smart Home Energy Management System , 2014 .

[55]  N. Balta-Ozkan,et al.  European smart home market development: Public views on technical and economic aspects across the United Kingdom, Germany and Italy , 2014 .

[56]  B. Wee,et al.  Hydrogen fuel station acceptance: A structural equation model based on the technology acceptance framework , 2014 .

[57]  John Thøgersen,et al.  Responsible Technology Acceptance: Model Development and Application to Consumer Acceptance of Smart Grid Technology , 2014 .

[58]  Natalia López-Mosquera,et al.  An extension of the Theory of Planned Behavior to predict willingness to pay for the conservation of an urban park. , 2014, Journal of environmental management.

[59]  Chan-Kook Park,et al.  A study of factors enhancing smart grid consumer engagement , 2014 .

[60]  Charlie Wilson,et al.  Smart homes and their users: a systematic analysis and key challenges , 2014, Personal and Ubiquitous Computing.

[61]  Katja Gelbrich,et al.  Anxiety, crowding, and time pressure in public self-service technology acceptance , 2014 .

[62]  Shuiyuan Cheng,et al.  Willingness to pay for renewable electricity: A contingent valuation study in Beijing, China , 2014 .

[63]  Dixit Garg,et al.  Barriers to renewable/sustainable energy technologies adoption: Indian perspective , 2015 .

[64]  Ulf J. J. Hahnel,et al.  Intentions to adopt photovoltaic systems depend on homeowners' expected personal gains and behavior of peers , 2015 .

[65]  Tainyi (Ted) Luor,et al.  Exploring the critical quality attributes and models of smart homes. , 2015, Maturitas.

[66]  J. Zorič,et al.  Household valuation of smart-home functionalities in Slovenia , 2015 .

[67]  Magnus Hultman,et al.  Intention to visit and willingness to pay premium for ecotourism: The impact of attitude, materialism, and motivation , 2015 .

[68]  Linda Steg,et al.  Understanding the human dimensions of a sustainable energy transition , 2015, Front. Psychol..

[69]  N. Pidgeon,et al.  The grit in the oyster: using energy biographies to question socio-technical imaginaries of ‘smartness’ , 2016 .

[70]  Mei‐Fang Chen.  Extending the theory of planned behavior model to explain people's energy savings and carbon reduction behavioral intentions to mitigate climate change in Taiwan–moral obligation matters , 2016 .

[71]  Yonghong Kuang,et al.  Smart home energy management systems: Concept, configurations, and scheduling strategies , 2016 .

[72]  Shanyong Wang,et al.  Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model , 2016 .

[73]  Z. Rahman,et al.  Predictors of young consumer’s green purchase behaviour , 2016 .

[74]  Andreas Jacobsson,et al.  A risk analysis of a smart home automation system , 2016, Future Gener. Comput. Syst..

[75]  Chien-fei Chen,et al.  Who wants solar water heaters and alternative fuel vehicles? Assessing social–psychological predictors of adoption intention and policy support in China , 2016 .

[76]  Louise M. Hassan,et al.  Addressing the cross-country applicability of the theory of planned behaviour (TPB): A structured review of multi-country TPB studies , 2016 .

[77]  Tianzhen Hong,et al.  Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings , 2017 .

[78]  Yuanyuan Liu,et al.  Energy Visualization for Smart Home , 2017 .

[79]  A. Inkeles.  National Character: The Study of Modal Personality and Sociocultural Systems , 2017 .

[80]  Kimberly S. Wolske,et al.  Explaining interest in adopting residential solar photovoltaic systems in the United States: Toward an integration of behavioral theories , 2017 .

[81]  Laura M. Arpan,et al.  Between the technology acceptance model and sustainable energy technology acceptance model: Investigating smart meter acceptance in the United States , 2017 .

[82]  S. Sorrell,et al.  Sociotechnical transitions for deep decarbonization , 2017, Science.

[83]  B. Sovacool.  Experts, theories, and electric mobility transitions: Toward an integrated conceptual framework for the adoption of electric vehicles , 2017 .

[84]  Charlie Wilson,et al.  Benefits and risks of smart home technologies , 2017 .

[85]  Yolande Strengers,et al.  Convenience and energy consumption in the smart home of the future: Industry visions from Australia and beyond , 2017 .

[86]  Hangjung Zo,et al.  Industrial Management & Data Systems , 2017 .

[87]  E. Park,et al.  Consumer Acceptance Analysis of the Home Energy Management System , 2017 .

[88]  Y. Parag,et al.  Flexiwatts and seamless technology: Public perceptions of demand flexibility through smart home technology , 2018 .

[89]  Suree Funilkul,et al.  Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective , 2018, IEEE Access.

[90]  Angela Sanguinetti,et al.  Understanding the path to smart home adoption: Segmenting and describing consumers across the innovation-decision process , 2018, Energy Research & Social Science.

[91]  Chien-fei Chen,et al.  Energy efficiency and energy justice for U.S. low-income households: An analysis of multifaceted challenges and potential , 2019, Energy Policy.

[92]  Carol C. Menassa,et al.  Understanding energy-saving behaviors in the American workplace: A unified theory of motivation, opportunity, and ability , 2019, Energy Research & Social Science.

[93]  A. Washizu,et al.  Willingness to Pay for Home Energy Management Systems: A Survey in New York and Tokyo , 2019, Sustainability.

[94]  Flavio Andrew Do Nascimento Santos,et al.  Price Fairness , 2022, Encyclopedia of Tourism Management and Marketing.