Developing and Validating a Model of Intention to Use a Smart Energy Metering System

Document Type

Book Chapter

Source of Publication

Lecture Notes in Networks and Systems

Publication Date

3-8-2022

Abstract

Smart energy meters are intelligent devices that can read, manage and control the consumption of electricity resources automatically and in real time. Despite its potential in many developed countries (such as North American, Italy, Sweden, China, Hong Kong, Japan and others), smart meters are currently experiencing low adoption rates in many developing countries in the Middle East. Also, a little is known about the users’ intention to use smart meters in those countries, and what influence their decision to adopt them. Thus, this study aimed at developing and validating a conceptual model of intention to use smart meters from users’ perspectives in a developing country, the United Arab Emirates (UAE). A quantitative method was followed in order to statistically validate the proposed model, by gathering 266 online survey responses, and testing the data through a multiple regression model by using SEM-PLS approach. The results revealed that perceived cost, awareness of smart meters, perceived values and trust significantly impact users’ intention to use smart meters in the UAE. Finally, the research provides theoretical contributions to the literature and practical implications to energy entities and practitioners, and also suggests some future research directions.

ISBN

978-3-030-98012-2

Publisher

Springer Nature

Volume

438

First Page

151

Last Page

157

Disciplines

Computer Sciences

Keywords

Perceived values, Regression model, User perspective, Smart city, Smart energy meter, Trust

Scopus ID

85127169756

Indexed in Scopus

yes

Open Access

no

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