Predicting & explaining intention to adopt green concepts among housing developers
This study aimed to determine the factors that predict the behavioral intentions to adopt green concepts among housing developers using the TPB model. This study adopted quantitative approach with a complementary qualitative data collection procedure. A total of 87 cases were collected from question...
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Bridge Center
2015
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my.upm.eprints.459252022-07-07T02:14:51Z http://psasir.upm.edu.my/id/eprint/45925/ Predicting & explaining intention to adopt green concepts among housing developers Lau, Jasmine Hashim, Ahmad Hariza Abu Samah, Asnarulkhadi This study aimed to determine the factors that predict the behavioral intentions to adopt green concepts among housing developers using the TPB model. This study adopted quantitative approach with a complementary qualitative data collection procedure. A total of 87 cases were collected from questionnaire survey. Correlation analysis showed that intention to adopt green concept was correlated most strongly with PBC (r = .713, p < .01) and subjective norm (r = .606, p < .01) and less strongly with attitude (r = .584, p < .01). Regression model was statistically significant, F(3, 83) = 57.11, p < .001, and accounted for approximately 67% of the variance of intention to adopt green concepts (R2 = .67). PBC was found to be the best predictor (β = .45, p < .001), followed by subjective norm (β = .34, p < .001) and attitudes (β = .25, p < .01). Conclusion and limitation of this study were also discussed. Bridge Center 2015-09 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45925/1/Predicting%20%26%20explaining%20intention%20to%20adopt%20green%20concepts%20among%20housing%20developers.pdf Lau, Jasmine and Hashim, Ahmad Hariza and Abu Samah, Asnarulkhadi (2015) Predicting & explaining intention to adopt green concepts among housing developers. European Academic Research, 3 (6). pp. 6710-6724. ISSN 2286-4822 https://euacademic.org/PastIssueList.aspx?artid=31 |
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This study aimed to determine the factors that predict the behavioral intentions to adopt green concepts among housing developers using the TPB model. This study adopted quantitative approach with a complementary qualitative data collection procedure. A total of 87 cases were collected from questionnaire survey. Correlation analysis showed that intention to adopt green concept was correlated most strongly with PBC (r = .713, p < .01) and subjective norm (r = .606, p < .01) and less strongly with attitude (r = .584, p < .01). Regression model was statistically significant, F(3, 83) = 57.11, p < .001, and accounted for approximately 67% of the variance of intention to adopt green concepts (R2 = .67). PBC was found to be the best predictor (β = .45, p < .001), followed by subjective norm (β = .34, p < .001) and attitudes (β = .25, p < .01). Conclusion and limitation of this study were also discussed. |
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Lau, Jasmine Hashim, Ahmad Hariza Abu Samah, Asnarulkhadi |
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Lau, Jasmine Hashim, Ahmad Hariza Abu Samah, Asnarulkhadi Predicting & explaining intention to adopt green concepts among housing developers |
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Lau, Jasmine Hashim, Ahmad Hariza Abu Samah, Asnarulkhadi |
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Lau, Jasmine |
title |
Predicting & explaining intention to adopt green concepts among housing developers |
title_short |
Predicting & explaining intention to adopt green concepts among housing developers |
title_full |
Predicting & explaining intention to adopt green concepts among housing developers |
title_fullStr |
Predicting & explaining intention to adopt green concepts among housing developers |
title_full_unstemmed |
Predicting & explaining intention to adopt green concepts among housing developers |
title_sort |
predicting & explaining intention to adopt green concepts among housing developers |
publisher |
Bridge Center |
publishDate |
2015 |
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http://psasir.upm.edu.my/id/eprint/45925/1/Predicting%20%26%20explaining%20intention%20to%20adopt%20green%20concepts%20among%20housing%20developers.pdf http://psasir.upm.edu.my/id/eprint/45925/ https://euacademic.org/PastIssueList.aspx?artid=31 |
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