Factors Influencing the Adoption of Solar Energy Systems by Household in Malaysia

The growing concern over environmental sustainability and rising energy costs has increased interest in renewable energy adoption particularly solar energy systems (SES). Hence, this study examines the importance factors influencing the adoption of SES among households in Johor Bahru (RO1), investigates the relationships between the factors and adoption of SES (RO2) and assess the differences in SES adoption based on respondent demographic (RO3). This study adopted the Motivation-Ability-Opportunity (MOA) framework and viewed MOA as the key factors influencing SES adoption. The research employed a quantitative approach with the household in Johor Bahru as the target population and a sample size of 68 recommended by Raosoft. A structured questionnaire was distributed using a purposive sampling method and 97 responses were received. Descriptive analysis results reveal that respondents viewed all the three MOA factors are important. Pearson correlation results suggest that motivation, ability, and opportunity are significantly and positively correlated with the SES adoption. Meanwhile, ANOVA results show that there are significant differences in SES adoption based on monthly household income. Overall, the study provides valuable insights into household solar energy adoption and offers practical implications for policymakers, energy providers and stakeholders in supporting Malaysia’s renewable energy goals.

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Publication Details

Journal
International Review of Management and Marketing
Published
2026-11-01
DOI
https://doi.org/10.32479/irmm.24431
Primary Topic
Social Acceptance of Renewable Energy
Type
article
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article

Factors Influencing the Adoption of Solar Energy Systems by Household in Malaysia

Ong Choon Hee, Lim Kim Yew, Goh Chin Fei, Samreen Fahim Babar et al.
5 links
International Review of Management and Marketing
Social Acceptance of Renewable Energy
article

Factors Influencing the Adoption of Solar Energy Systems by Household in Malaysia

Ong Choon Hee, Lim Kim Yew, Goh Chin Fei, Samreen Fahim Babar, Tan Owee Kowang, Hannie Lynn, Hu Mei, Lim Shun Hang
article en

Abstract

The growing concern over environmental sustainability and rising energy costs has increased interest in renewable energy adoption particularly solar energy systems (SES). Hence, this study examines the importance factors influencing the adoption of SES among households in Johor Bahru (RO1), investigates the relationships between the factors and adoption of SES (RO2) and assess the differences in SES adoption based on respondent demographic (RO3). This study adopted the Motivation-Ability-Opportunity (MOA) framework and viewed MOA as the key factors influencing SES adoption. The research employed a quantitative approach with the household in Johor Bahru as the target population and a sample size of 68 recommended by Raosoft. A structured questionnaire was distributed using a purposive sampling method and 97 responses were received. Descriptive analysis results reveal that respondents viewed all the three MOA factors are important. Pearson correlation results suggest that motivation, ability, and opportunity are significantly and positively correlated with the SES adoption. Meanwhile, ANOVA results show that there are significant differences in SES adoption based on monthly household income. Overall, the study provides valuable insights into household solar energy adoption and offers practical implications for policymakers, energy providers and stakeholders in supporting Malaysia’s renewable energy goals.

International Review of Management and MarketingVol. 17(1)
Quaid-i-Azam University (PK), INTI International University (MY), Yinchuan College of Energy (CN), University of Technology Malaysia (MY)
Affordable and clean energy, Climate action
Openalex Percentile: Top 6%
Social Acceptance of Renewable Energy
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Factors Influencing the Adoption of Solar Energy Systems by Household in Malaysia — Ong Choon Hee, Lim Kim Yew, et al. · International Review of Management and Marketing (2026) | TGRS Research Map | TGRS