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What improves smart meters' implementation? A statistical meta-analysis on smart meters' acceptance

Jonathan Gumz (Industrial Engineering and Systems, Federal University of Santa Catarina, Florianópolis, Brazil)
Diego Castro Fettermann (Industrial Engineering and Systems, Federal University of Santa Catarina, Florianópolis, Brazil)

Smart and Sustainable Built Environment

ISSN: 2046-6099

Article publication date: 19 July 2021

Issue publication date: 1 December 2022

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Abstract

Purpose

This article aims to compare smart meters' acceptance studies worldwide to consolidate trends and highlight factors that are not a consensus.

Design/methodology/approach

This work performs a statistical meta-analysis, using the Hunter–Schmidt method and the UTAUT2 model, of the factors of acceptance of smart meters in the world literature. A meta-regression was also conducted to verify the moderation exercised by gender, level of education and timeline context of the articles.

Findings

The main results point to hedonic motivation, performance expectancy and effort expectancy as the leading influencers for smart meter's acceptance. Meta-regression indicates that the influence is more significant among the male gender and that over the years, the social influence must gain weight in the smart meter's acceptance.

Social implications

Specific strategies are suggested to improve projects for the implementation of smart meters based on the obtained results.

Originality/value

The contribution given by this work is relevant, considering it is the first meta-analysis focused on smart meters' acceptance published in the literature

Keywords

Acknowledgements

This work was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico [Grant Number 303936-2019-3 and scholarship [133651/2020-7] and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior [Grant Number Finance Code 001].

Citation

Gumz, J. and Fettermann, D.C. (2022), "What improves smart meters' implementation? A statistical meta-analysis on smart meters' acceptance", Smart and Sustainable Built Environment, Vol. 11 No. 4, pp. 1116-1136. https://doi.org/10.1108/SASBE-05-2021-0080

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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