Skip to main content
Article
A predictive model of users’ behavior and values of smart energy meters using PLS-SEM
Advances in Intelligent Systems and Computing
  • Ahmed Shuhaiber, Zayed University
Document Type
Conference Proceeding
Publication Date
1-1-2020
Abstract

© Springer Nature Switzerland AG 2020. A smart energy metering system is an IoT device that connects several electrical household devices and record, monitor, estimate, control in-house energy consumption in a real-time basis. Although smart energy meters have great capabilities, this technology is still in infancy stages in many developing countries, and little is known about what perceived values are associated with smart meters from residents’ perspectives. Therefore, this research aimed to fill this gap by examining the impact of six different types of perceived values on residents’ intentions to use smart meters in UAE. The study followed a quantitative approach by gathering 266 survey responses which were tested by using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The statistical results genuinely indicated that perceived epistemic values, environmental values, emotional values, and convenience values can significantly impact residents’ intention to use smart meter, whereas social values and monetary values found to have no significant impact on their intentions to use this technology. Theoretical and practical implications are indicated, and directions of future research are specified afterwards.

ISBN
9783030395117
Publisher
Springer
Disciplines
Keywords
  • Energy consumption,
  • Intention to use,
  • Perceived values,
  • Smart grids,
  • Smart meters
Scopus ID
85081927232
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-030-39512-4_138
Citation Information
Ahmed Shuhaiber. "A predictive model of users’ behavior and values of smart energy meters using PLS-SEM" Advances in Intelligent Systems and Computing Vol. 1131 AISC (2020) p. 903 - 908 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/2194-5365" target="_blank">2194-5365</a>
Available at: http://works.bepress.com/ahmed-shuhaiber/11/