A hybrid SEM-neural network method for identifying acceptance factors of the smart meters in Malaysia: Challenges perspective-Reference-Cited by-同舟云学术

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A hybrid SEM-neural network method for identifying acceptance factors of the smart meters in Malaysia: Challenges perspective

Published:2021-02 Issue:1 Volume:60 Page:227-240
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Alkawsi Gamal Abdulnaser,Ali Norashikin,Mustafa Abdulsalam Salihu,Baashar Yahia,Alhussian Hitham,Alkahtani Ammar,Tiong Sieh Kiong,Ekanayake Janaka

Funder

Universiti Tenaga Nasional

Publisher

Elsevier BV

Subject

General Engineering

Reference94 articles.

1. The importance of instrumental, symbolic, and environmental attributes for the adoption of smart energy systems;Noppers;Energy Policy,2016

2. Cross-country review of smart grid adoption in residential buildings;Chou;Renew. Sustain. Energy Rev.,2015

3. Nested logics and smart meter adoption: Institutional processes and organizational change in the diffusion of smart meters in the United States;Kallman;Energy Res. Soc. Sci.,2019

4. M. sand Markets, “Smart Home Market Research Report Analysis and Forecast to 2024,” USA.

5. Energy consumption trends and their linkages with renewable energy policies in East and Southeast Asian countries: Challenges and opportunities;Sharvini;Sustain. Environ. Res.,2018

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1. Noise Mapping and Impact of COVID-19 Lock Down on Traffic Noise Induced Health Issues Using SEM Approach;International Journal of Environmental Research;2024-09-05

2. Study examining the significant role of intellectual property protection in driving radical technological innovation among national research project teams, employing PLS-SEM and ANN modeling;PLOS ONE;2024-08-07

3. Modelling eco-friendly smart home appliances’ adoption intention from the perspective of residents: a comparative analysis of PLS-SEM and fsQCA;Open House International;2024-06-21

4. Are students ready for robots in higher education? Examining the adoption of robots by integrating UTAUT2 and TTF using a hybrid SEM-ANN approach;Technology in Society;2024-06

5. Unlocking determinants of smart construction: an integrated model of UTAUT2, TTF, and perceived risk for IoT acceptance in AEC industry;Engineering, Construction and Architectural Management;2024-05-30

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