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A STUDY ON FACTORS AFFECTING THE INTENTION TO USE SMART METERS. EVIDENCE FROM ROMANIA

Andreea Barbu, Gheorghe Militaru, Mirona Ana Maria Popescu, Iustina-Cristina Costea- Marcu, Mihaela Ganciu

First published: 2021-12-20https://doi.org/10.5593/sgem2021/4.1/s17.02View metrics

Abstract

This paper presents an exploratory study that analysis the factors that influence the intention to use smart meters that measure electricity consumption. The authors used the technology acceptance model as a starting point for their research, taking into consideration other eight external variables: social influence, familiarity with smart meter technology, task-technology fit, compatibility, the level of trust in companies that supply electricity, price awareness, energy conservation intentions, and perception of the environmental problems. In this regard, it was developed a questionnaire that was applied to homeowners from a 5-year-old residential complex, from Bucharest, Romania, data being processed and analysed with SPSS statistical software. The results indicated that one of the most important factors that influence the intention to use smart meters is the compatibility with smart meter technology. Also, this study highlighted that price awareness and task-technology fit are also variables that strongly influence the attitude toward using a smart meter in the case of apartment owners from the residential complex. On the other hand, the intention to buy or attitude to use smart meters were not influenced by the level of trust in companies that supply electricity, and familiarity with smart meter technology, the homeowners being more concerned about energy conservation or environmental issues. Based on the results of this pilot study, at the end of the paper, the authors presented indications regarding the future research they will carry out to determine the most complete model of the factors that influence the use of smart meters in residential buildings in Romania.

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Publication details

Title
A STUDY ON FACTORS AFFECTING THE INTENTION TO USE SMART METERS. EVIDENCE FROM ROMANIA
Authors
Andreea Barbu, Gheorghe Militaru, Mirona Ana Maria Popescu, Iustina-Cristina Costea- Marcu, Mihaela Ganciu
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 21st SGEM International Multidisciplinary Scientific GeoConference Proceedings 2021, Energy and Clean Technologies
Publisher
STEF92 Technology
Year
2021
Pages
11-18
SWS Citekey
Barbu2021171118
ISSN
1314-2704
ISBN
978-619-7603-26-2
Language
en
Publication type
Conference Paper
Keywords
References9
  1. ANRE, Order on the implementation of intelligent electricity metering systems, 2013, available online, https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwiQi4LTzaHwAhXJgf0HHR42B4EQFjABegQIAxAD&url=https%3A%2F%2Fwww.anre.ro%2Fdownload.php%3Ff%3DgK%252BDgQ%253D%253D%26t%3Dvdeyut7dlcecrLbbvbY%253D&usg=AOvVaw3lGqlsQpYrcVOQlSuAKNF-

  2. Barbu, A., Militaru, G., Savu, I., 2020, Factors Affecting Use of Smartwatches, FAIMA Business & Management Journal, Volume 8, Issue 1, 2020, Editura Niculescu, pp. 44-57

  3. Bugden, D.; Stedman, R. (2019). A synthetic view of acceptance and engagement with smart meters in the United States. Energy Research & Social Science, 47(1), pp. 137–145.

  4. Chou, J.-S.; Yutami, I.G.A.N. (2014). Smart meter adoption and deployment strategy for residential buildings in Indonesia. Applied Energy, 128(1), pp. 336–349.

  5. Chen, C.; Knight, K. (2014). Energy at work: Social psychological factors affecting energy conservation intentions within Chinese electric power companies. Energy Research & Social Science, 4(), pp. 23–31.

  6. Chen, C.; Xu, X.; Arpan, L. (2017). Between the technology acceptance model and sustainable energy technology acceptance model: Investigating smart meter acceptance in the United States. Energy Research & Social Science, 25(1), pp. 93–104.

  7. Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1), 98.

  8. e-distribution. (2021). Smart meter, available online https://www.e-distributie.com/ro/contorul-inteligent.html

  9. Evans, J.D. (1996), Straightforward statistics for the behavioral sciences, Pacific Grove, CA: Brooks/Cole Publishing. ISBN-13: 978-0534231002

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