TY - BOOK AU - Wunderlich,Philipp ED - SpringerLink (Online service) TI - Green Information Systems in the Residential Sector: An Examination of the Determinants of Smart Meter Adoption T2 - Progress in IS SN - 9783642367694 AV - HF54.5-54.56 U1 - 650 23 PY - 2013/// CY - Berlin, Heidelberg PB - Springer Berlin Heidelberg, Imprint: Springer KW - Business KW - Energy efficiency KW - Management KW - Industrial management KW - Information technology KW - Data processing KW - Environmental management KW - Environmental economics KW - Business and Management KW - IT in Business KW - Information Systems Applications (incl. Internet) KW - Energy Efficiency (incl. Buildings) KW - Innovation/Technology Management KW - Environmental Economics KW - Environmental Management N1 - Introduction -- Smart Grid -- Theoretical Foundations -- Conceptual Model -- Methodology -- Analysis -- Discussion and Interpretation -- Conclusion N2 - Given rising electricity consumption, coupled with finite resources, and a growing awareness surrounding sustainable energy, ICT-enabled electrical networks such as smart grids are increasingly being deployed by energy companies. One aspect of smart grids is smart meter technology (SMT), which are sophisticated digital electrical meters, having the potential to increase energy efficiency in both residential and industrial sectors. However, a challenge to SMT-implementation in residential settings has been its successful adoption by consumers. As many cases in the US, and other parts of the world highlight, such implementation projects have run into resistance from the consumers. Despite these challenges, little research has been conducted on this topic. This study is one of the first that attempts to fill that void by empirically examining the antecedents of SMT adoption amongst potential customers and a group of SMT users. Specifically, this study developed a model surrounding consumers’ intention to adopt and use SMT, by drawing on theories of adoption and motivational psychology and also by including a set of context-specific variables UR - http://dx.doi.org/10.1007/978-3-642-36769-4 ER -