Developing and Validating a Model of Intention to Use a Smart Energy Metering System
Source of Publication
Lecture Notes in Networks and Systems
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.
Perceived values, Regression model, User perspective, Smart city, Smart energy meter, Trust
Shuhaiber, Ahmed and Adam, Nabil (Transpower, "Developing and Validating a Model of Intention to Use a Smart Energy Metering System" (2022). All Works. 4922.
Indexed in Scopus