A predictive model of users’ behavior and values of smart energy meters using PLS-SEM

Ahmed Shuhaiber, Zayed UniversityFollow

Document Type

Conference Proceeding

Source of Publication

Advances in Intelligent Systems and Computing

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

ISSN

2194-5365

Publisher

Springer

Volume

1131 AISC

First Page

903

Last Page

908

Disciplines

Computer Sciences

Keywords

Energy consumption, Intention to use, Perceived values, Smart grids, Smart meters

Scopus ID

85081927232

Indexed in Scopus

yes

Open Access

no

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