Predicting social entrepreneurial intention: a meta-analytic path analysis based on the theory of planned behavior
The aim of this meta-analysis was to examine the applicability of the theory of planned behavior for predicting social entrepreneurial intention (SEI). A random-effects meta-analysis of zero-order correlations reported in the findings of 31 studies (37 samples, n = 14,318) was performed, and correla...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/81782/ http://psasir.upm.edu.my/id/eprint/81782/1/20201028%20-%20Predicting%20social%20entrepreneurial%20intention.pdf |
| _version_ | 1848859175059193856 |
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| author | Zaremohzzabieh, Zeinab Ahrari, Seyedali Steven, Eric Krauss Abu Samah, Asnarulkhadi Lee, Kwan Meng Ariffin, Zaifunizam |
| author_facet | Zaremohzzabieh, Zeinab Ahrari, Seyedali Steven, Eric Krauss Abu Samah, Asnarulkhadi Lee, Kwan Meng Ariffin, Zaifunizam |
| author_sort | Zaremohzzabieh, Zeinab |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The aim of this meta-analysis was to examine the applicability of the theory of planned behavior for predicting social entrepreneurial intention (SEI). A random-effects meta-analysis of zero-order correlations reported in the findings of 31 studies (37 samples, n = 14,318) was performed, and correlations between the constructs in the TPB model and SEI were scrutinized through the application of meta-analytic structural equation modeling (MASEM) based on a pooled correlation matrix. Two alternative models were proposed and then evaluated, suggesting alternative formulations of the antecedents of SEI by modifying the relationships between key TPB constructs and intentions. The findings showed better fit of the alternative models than the original TPB model at
predicting SEI. The findings also revealed that the strength of the two models enriches the TPB through the additional factors. We recommend that scholars adopt this technique when synthesizing evidence across assessments of TPB. |
| first_indexed | 2025-11-15T12:25:09Z |
| format | Article |
| id | upm-81782 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:25:09Z |
| publishDate | 2019 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-817822020-12-04T05:58:09Z http://psasir.upm.edu.my/id/eprint/81782/ Predicting social entrepreneurial intention: a meta-analytic path analysis based on the theory of planned behavior Zaremohzzabieh, Zeinab Ahrari, Seyedali Steven, Eric Krauss Abu Samah, Asnarulkhadi Lee, Kwan Meng Ariffin, Zaifunizam The aim of this meta-analysis was to examine the applicability of the theory of planned behavior for predicting social entrepreneurial intention (SEI). A random-effects meta-analysis of zero-order correlations reported in the findings of 31 studies (37 samples, n = 14,318) was performed, and correlations between the constructs in the TPB model and SEI were scrutinized through the application of meta-analytic structural equation modeling (MASEM) based on a pooled correlation matrix. Two alternative models were proposed and then evaluated, suggesting alternative formulations of the antecedents of SEI by modifying the relationships between key TPB constructs and intentions. The findings showed better fit of the alternative models than the original TPB model at predicting SEI. The findings also revealed that the strength of the two models enriches the TPB through the additional factors. We recommend that scholars adopt this technique when synthesizing evidence across assessments of TPB. Elsevier 2019-03 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81782/1/20201028%20-%20Predicting%20social%20entrepreneurial%20intention.pdf Zaremohzzabieh, Zeinab and Ahrari, Seyedali and Steven, Eric Krauss and Abu Samah, Asnarulkhadi and Lee, Kwan Meng and Ariffin, Zaifunizam (2019) Predicting social entrepreneurial intention: a meta-analytic path analysis based on the theory of planned behavior. Journal of Business Research, 96. pp. 264-276. ISSN 0148-2963 https://www.sciencedirect.com/science/article/abs/pii/S0148296318305824 10.1016/j.jbusres.2018.11.030 |
| spellingShingle | Zaremohzzabieh, Zeinab Ahrari, Seyedali Steven, Eric Krauss Abu Samah, Asnarulkhadi Lee, Kwan Meng Ariffin, Zaifunizam Predicting social entrepreneurial intention: a meta-analytic path analysis based on the theory of planned behavior |
| title | Predicting social entrepreneurial intention: a meta-analytic path analysis based on the theory of planned behavior |
| title_full | Predicting social entrepreneurial intention: a meta-analytic path analysis based on the theory of planned behavior |
| title_fullStr | Predicting social entrepreneurial intention: a meta-analytic path analysis based on the theory of planned behavior |
| title_full_unstemmed | Predicting social entrepreneurial intention: a meta-analytic path analysis based on the theory of planned behavior |
| title_short | Predicting social entrepreneurial intention: a meta-analytic path analysis based on the theory of planned behavior |
| title_sort | predicting social entrepreneurial intention: a meta-analytic path analysis based on the theory of planned behavior |
| url | http://psasir.upm.edu.my/id/eprint/81782/ http://psasir.upm.edu.my/id/eprint/81782/ http://psasir.upm.edu.my/id/eprint/81782/ http://psasir.upm.edu.my/id/eprint/81782/1/20201028%20-%20Predicting%20social%20entrepreneurial%20intention.pdf |