Analyzing the Public Opinion as a Guide for Renewable-Energy Status in Malaysia: A Case Study

Qazi, Atika, Bhowmik, Chiranjib, Hussain, Fayaz, Yang, Shuiqing, Naseem, Usman, Adebayo, Abayomi Alli, Gumaei, Abdu, and Al-Rakhami, Mabrook (2023) Analyzing the Public Opinion as a Guide for Renewable-Energy Status in Malaysia: A Case Study. IEEE Transactions on Engineering Management, 70 (2). pp. 371-385.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1109/TEM.2020.3046749
11


Abstract

The risk of fossil fuels escalating the discussion of renewable-energy sources (RES) for a cleaner environment coupled with campaigns to promote it. Therefore, the focus of this article is twofold. First, in this article, we propose a model to investigate the mediating role of awareness in the intention to accept RES. The study consists of a unified theory of acceptance and the use of technology and a set of four hypotheses. Second, an integrated MCDM method is applied based on the entropy TOPSIS to select the optimum RES alternative. Furthermore, a sensitivity analysis of the weight shows the robustness of the proposed integrated model and the public perception of RES is analyzed using sentiment analysis. As a part of a sufficient survey, data were collected from 300 plus people in an urban area of Malaysia and online global reports. The results indicate that awareness plays a mediating role leading to public opinions and performance expectancy for the acceptance of RES. Besides, the results reveal that biomass is the most appropriate clean energy source, having the highest score value assessed. The research in the field is lacking; however, utilizing public feedback and sentiments, the findings of this article will help effective policy and decision making.

Item ID: 79251
Item Type: Article (Research - C1)
ISSN: 1558-0040
Keywords: Multicriteria decision making (MCDM), public opinion, renewable-energy sources (RES), sensitivity analysis, sentiments, unified theory of acceptance and use of technology (UTAUT)
Copyright Information: © 2021 IEEE.
Date Deposited: 11 Jan 2024 01:15
FoR Codes: 40 ENGINEERING > 4011 Environmental engineering > 401102 Environmentally sustainable engineering @ 100%
SEO Codes: 17 ENERGY > 1708 Renewable energy > 170899 Renewable energy not elsewhere classified @ 100%
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page