Determinants of the Willingness to Energy Monitoring by Residential Consumers: A Case Study in the City of Wroclaw in Poland

Anna Kowalska-Pyzalska , Katarzyna Byrka

Abstract

This paper analyses attitudinal and socio-economic determinants of the householders’ willingness to monitor their energy consumption. Residential consumers can monitor their energy consumption by means of traditional (electricity bill) and modern tools (smart metering information platforms, SMP).Within this empirical study we test the effect of environmental attitudes, knowledge and perceived possibilities on consumers’ stages of readiness to adopt SMP based the stage model of self-regulated behavioral change (SSCB). Perceived possibilities to monitor energy consumption on a regular basis was found to be the predictor of adoption in every examined stage of readiness. General knowledge predicted adoption of the stage in which consumers declared willingness to learn know-how of using SMP. The results suggest that an effectiveness of educational campaigns may be restricted to only some consumers.
Author Anna Kowalska-Pyzalska
Anna Kowalska-Pyzalska,,
-
, Katarzyna Byrka (Filia we Wrocławiu / II Wydział Psychologii we Wrocławiu)
Katarzyna Byrka,,
- II Wydział Psychologii we Wrocławiu
Journal seriesEnergies, ISSN 1996-1073, (N/A 100 pkt)
Issue year2019
Vol12
No5
Pages1-20
Publication size in sheets0.95
Article number907
Keywords in Englishsmart metering; smart metering platform; knowledge; energy monitoring; consumers; stage model of self-regulated behavioral change; telephone survey
ASJC Classification1700 General Computer Science
DOIDOI:10.3390/en12050907
URL https://doi.org/10.3390/en12050907
Languageen angielski
File
Determinants_tekst.pdf 309.32 KB
Additional file
Determinants_oswiadczenie.pdf 16.04 KB
Score (nominal)100
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2017 = 1.34; WoS Impact Factor: 2017 = 2.676 (2) - 2017=3.045 (5)
Citation count*12 (2020-10-17)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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