Related references
Note: Only part of the references are listed.What will be the possible barriers to consumers' adoption of smart home services?
Areum Hong et al.
TELECOMMUNICATIONS POLICY (2020)
Smart metering in the Netherlands: What, how, and why
Pol Van Aubel et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
Nested logics and smart meter adoption: Institutional processes and organizational change in the diffusion of smart meters in the United States
Meghan Elizabeth Kallman et al.
ENERGY RESEARCH & SOCIAL SCIENCE (2019)
Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach
Francisco Liebana-Cabanillas et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2018)
Energy consumption trends and their linkages with renewable energy policies in East and Southeast Asian countries: Challenges and opportunities
Siva Raman Sharvini et al.
SUSTAINABLE ENVIRONMENT RESEARCH (2018)
Persistence of the effects of providing feedback alongside smart metering devices on household electricity demand
Joachim Schleich et al.
ENERGY POLICY (2017)
User acceptance of smart home services: an extension of the theory of planned behavior
Heetae Yang et al.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS (2017)
Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation
Venkatesh et al.
MIS QUARTERLY (2017)
Editor's Comments: An Update and Extension to SEM Guidelines for Administrative and Social Science Research
Gefen et al.
MIS QUARTERLY (2017)
Factors affecting adoption of smart meters in the post-Fukushima era in Taiwan: an extended protection motivation theory perspective
Kai-Ying Chen et al.
BEHAVIOUR & INFORMATION TECHNOLOGY (2017)
The importance of instrumental, symbolic, and environmental attributes for the adoption of smart energy systems
Ernst H. Noppers et al.
ENERGY POLICY (2016)
Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card
Keng-Boon Ooi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2016)
A multi-analytical approach to understand and predict the mobile commerce adoption
Rajan Yadav et al.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT (2016)
It's about time: Revisiting UTAUT2 to examine consumers' intentions to use NFC mobile payments in hotels
Cristian Morosan et al.
INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT (2016)
Extending the UTAUT model to understand the customers' acceptance and use of internet banking in Lebanon A structural equation modeling approach
Ali Tarhini et al.
INFORMATION TECHNOLOGY & PEOPLE (2016)
Understanding and beliefs about smart energy technology
Kaitlin T. Raimi et al.
ENERGY RESEARCH & SOCIAL SCIENCE (2016)
The question of energy reduction: The problem(s) with feedback
Kathryn Buchanan et al.
ENERGY POLICY (2015)
An SEM-artificial-neural-network analysis of the relationships between SERVPERF, customer satisfaction and loyalty among low-cost and full-service airline
Lai-Ying Leong et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
Cross-country review of smart grid adoption in residential buildings
Jui-Sheng Chou et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)
Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators
Goncalo Baptista et al.
COMPUTERS IN HUMAN BEHAVIOR (2015)
Smart meter adoption and deployment strategy for residential buildings in Indonesia
Jui-Sheng Chou et al.
APPLIED ENERGY (2014)
A study of factors enhancing smart grid consumer engagement
Chan-Kook Park et al.
ENERGY POLICY (2014)
A unified perspective on the factors influencing consumer acceptance of internet of things technology
Lingling Gao et al.
ASIA PACIFIC JOURNAL OF MARKETING AND LOGISTICS (2014)
Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach
Garry Wei-Han Tan et al.
COMPUTERS IN HUMAN BEHAVIOR (2014)
Determinants of willingness to pay for smart meters: An empirical analysis of household customers in Germany
Torsten J. Gerpott et al.
ENERGY POLICY (2013)
Review on Methods to Fix Number of Hidden Neurons in Neural Networks
K. Gnana Sheela et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2013)
Rethinking determinants of ICT acceptance: Towards an integrated and comprehensive overview
Pieter Verdegem et al.
TECHNOVATION (2011)
Does the technology acceptance model predict actual use? A systematic literature review
Mark Turner et al.
INFORMATION AND SOFTWARE TECHNOLOGY (2010)
Clustering: A neural network approach
K. -L. Du
NEURAL NETWORKS (2010)
Predicting tourism loyalty using an integrated Bayesian network mechanism
Chi-I Hsu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
The acceptance and use of a virtual learning environment in China
Erik M. van Raaij et al.
COMPUTERS & EDUCATION (2008)
Feedback on household electricity consumption: a tool for saving energy?
Corinna Fischer
ENERGY EFFICIENCY (2008)
How habit limits the predictive power of intention: The case of information systems continuance
Moez Limayem et al.
MIS QUARTERLY (2007)
User acceptance of information technology: Toward a unified view
V Venkatesh et al.
MIS QUARTERLY (2003)
The theory of planned behavior and ecstasy use: Roles for habit and perceived control over taking versus obtaining substances
S Orbell et al.
JOURNAL OF APPLIED SOCIAL PSYCHOLOGY (2001)
A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies
V Venkatesh et al.
MANAGEMENT SCIENCE (2000)