The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
The effects of consumer attitude on green purchase intention: A meta-analytic path analysis
Abstract
Abstract Increasing interests in the development of green purchase intentions have elevated the importance of theories that explain the relationships between attitudes and intentions. The aim of the present research is to meta-analytically integrate the model of green purchase behavior (GPB) and the theory of planned behavior (TPB). We synthesized the research findings of 90 studies (94 samples, n = 38622) and employed meta-analytic structural equation modeling to investigate the empirical fit of the integrated TPB-GPB framework. The findings demonstrated support for the integrated framework and showed mediation role of consumer attitude in the development of green purchase intent. Moreover, the results suggested that the integrated framework assisted the TPB model to enjoy huge fertility by integrating the constructs and/or combining with the GPB model to develop the explanatory power and predictive lenses of green consumer attitudes and green purchase intention.
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Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Principles and Practice of Structural Equation Modeling
Tabri, N., & Elliott, C. M. (2012) · Canadian Graduate Journal of Sociology and Criminology · doi:10.15353/cgjsc-rcessc.v1i1.25 · Cited by 38,891
(1998) · Cited by 36,049
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
Kollmuss, A., & Agyeman, J. (2002) · Environmental Education Research · doi:10.1080/13504620220145401 · Cited by 8,866
Analysis and Synthesis of Research on Responsible Environmental Behavior: A Meta-Analysis
Hines, J. M., Hungerford, H. R., & Tomera, A. N. (1987) · The Journal of Environmental Education · doi:10.1080/00958964.1987.9943482 · Cited by 3,390
Mishra, S., & Datta-Gupta, A. (2018) · Applied Statistical Modeling and Data Analytics · doi:10.1016/b978-0-12-803279-4.00005-5 · Cited by 2,997
Predicting green product consumption using theory of planned behavior and reasoned action
Paul, J., Modi, A., & Patel, J. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2015.11.006 · Cited by 2,399
Cited by
Lavuri, R., Chiappetta Jabbour, C. J., Grebinevych, O., & Roubaud, D. (2022) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.113899 · Cited by 206
Pathak, K., Prakash, G., Jain, M., Agarwal, R., & Attri, R. (2024) · Business Strategy and the Environment · doi:10.1002/bse.3687 · Cited by 42
Green intentions, green actions: the power of social media and the perils of greenwashing
Nazish, M., Khan, Z., Khan, A., Naved Khan, M., & Ramkissoon, H. (2025) · Journal of Global Marketing · doi:10.1080/08911762.2024.2429517 · Cited by 28
Does Greenwashing Wash Away Gen Z's Green Purchase Intention?
Di Pillo, F., Palombi, G., & Strazzullo, S. (2025) · Business Strategy and the Environment · doi:10.1002/bse.70064 · Cited by 20
Metadata
- Authors
- Zaremohzzabieh, Z., Ismail, N., Ahrari, S., & Abu Samah, A.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 132
- Pages
- 732-743
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W3095806913
- Cited by
- 312
- References
- 111
- FWCI
- 30.44
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
