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What motivates people to use energy feedback systems? A multiple goal approach to predict long-term usage behaviour in daily life

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

What motivates people to use energy feedback systems? A multiple goal approach to predict long-term usage behaviour in daily life. / Gölz, Sebastian; Hahnel, Ulf J.J.
In: Energy Research and Social Science, Vol. 21, 01.11.2016, p. 155-166.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Gölz, S & Hahnel, UJJ 2016, 'What motivates people to use energy feedback systems? A multiple goal approach to predict long-term usage behaviour in daily life', Energy Research and Social Science, vol. 21, pp. 155-166. https://doi.org/10.1016/j.erss.2016.07.006

APA

Gölz, S., & Hahnel, U. J. J. (2016). What motivates people to use energy feedback systems? A multiple goal approach to predict long-term usage behaviour in daily life. Energy Research and Social Science, 21, 155-166. https://doi.org/10.1016/j.erss.2016.07.006

Vancouver

Gölz S, Hahnel UJJ. What motivates people to use energy feedback systems? A multiple goal approach to predict long-term usage behaviour in daily life. Energy Research and Social Science. 2016 Nov 1;21:155-166. doi: 10.1016/j.erss.2016.07.006

Bibtex

@article{dc2a4480518e4fe6be6efd9d42177a9f,
title = "What motivates people to use energy feedback systems? A multiple goal approach to predict long-term usage behaviour in daily life",
abstract = "Feedback systems on energy consumption are being provided more and more worldwide. However, the success of these systems in terms of increasing energy efficiency in households is still limited. We assume that this circumstance is due to the fact that present energy feedback systems primarily address individuals{\textquoteright} financial goals, thereby neglecting the fact that people may carry a set of multiple goals towards usage. In three preliminary studies and one main study, we examined the underlying goals which motivate people to use web-based feedback on their own electricity consumption. We identified and replicated four distinct goals towards feedback usage: having fun, learning how to save electricity, controlling and reducing costs, and avoiding inconvenience due to perceived negative impacts of feedback usage. In the Main Study, we investigated a sample from a smart meter field trial (N = 345) and applied a model-based cluster analysis to identify distinguishable goal profiles based on the four goal factors. We analysed the predictive power of the identified multiple goal profiles on participants{\textquoteright} actual usage of feedback for a time span of six months. The findings support the assumption that individuals carry multiple goals towards feedback usage which can be empirically clustered into distinguishable profiles.",
keywords = "Feedback usage, Model-based cluster analysis, Multiple goal profiles, Smart metering, Sustainability sciences, Management & Economics",
author = "Sebastian G{\"o}lz and Hahnel, {Ulf J.J.}",
note = "Publisher Copyright: {\textcopyright} 2016 Elsevier Ltd",
year = "2016",
month = nov,
day = "1",
doi = "10.1016/j.erss.2016.07.006",
language = "English",
volume = "21",
pages = "155--166",
journal = "Energy Research and Social Science",
issn = "2214-6296",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - What motivates people to use energy feedback systems? A multiple goal approach to predict long-term usage behaviour in daily life

AU - Gölz, Sebastian

AU - Hahnel, Ulf J.J.

N1 - Publisher Copyright: © 2016 Elsevier Ltd

PY - 2016/11/1

Y1 - 2016/11/1

N2 - Feedback systems on energy consumption are being provided more and more worldwide. However, the success of these systems in terms of increasing energy efficiency in households is still limited. We assume that this circumstance is due to the fact that present energy feedback systems primarily address individuals’ financial goals, thereby neglecting the fact that people may carry a set of multiple goals towards usage. In three preliminary studies and one main study, we examined the underlying goals which motivate people to use web-based feedback on their own electricity consumption. We identified and replicated four distinct goals towards feedback usage: having fun, learning how to save electricity, controlling and reducing costs, and avoiding inconvenience due to perceived negative impacts of feedback usage. In the Main Study, we investigated a sample from a smart meter field trial (N = 345) and applied a model-based cluster analysis to identify distinguishable goal profiles based on the four goal factors. We analysed the predictive power of the identified multiple goal profiles on participants’ actual usage of feedback for a time span of six months. The findings support the assumption that individuals carry multiple goals towards feedback usage which can be empirically clustered into distinguishable profiles.

AB - Feedback systems on energy consumption are being provided more and more worldwide. However, the success of these systems in terms of increasing energy efficiency in households is still limited. We assume that this circumstance is due to the fact that present energy feedback systems primarily address individuals’ financial goals, thereby neglecting the fact that people may carry a set of multiple goals towards usage. In three preliminary studies and one main study, we examined the underlying goals which motivate people to use web-based feedback on their own electricity consumption. We identified and replicated four distinct goals towards feedback usage: having fun, learning how to save electricity, controlling and reducing costs, and avoiding inconvenience due to perceived negative impacts of feedback usage. In the Main Study, we investigated a sample from a smart meter field trial (N = 345) and applied a model-based cluster analysis to identify distinguishable goal profiles based on the four goal factors. We analysed the predictive power of the identified multiple goal profiles on participants’ actual usage of feedback for a time span of six months. The findings support the assumption that individuals carry multiple goals towards feedback usage which can be empirically clustered into distinguishable profiles.

KW - Feedback usage

KW - Model-based cluster analysis

KW - Multiple goal profiles

KW - Smart metering

KW - Sustainability sciences, Management & Economics

UR - http://www.scopus.com/inward/record.url?scp=84982743651&partnerID=8YFLogxK

U2 - 10.1016/j.erss.2016.07.006

DO - 10.1016/j.erss.2016.07.006

M3 - Journal articles

AN - SCOPUS:84982743651

VL - 21

SP - 155

EP - 166

JO - Energy Research and Social Science

JF - Energy Research and Social Science

SN - 2214-6296

ER -

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