The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Predicting organic food consumption: A meta-analytic structural equation model based on the theory of planned behavior
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Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
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
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Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
Efficacy of the Theory of Planned Behaviour: A meta‐analytic review
Armitage, C. J., & Conner, M. (2001) · British Journal of Social Psychology · doi:10.1348/014466601164939 · Cited by 9,970
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771
Cialdini, R. B., Reno, R. R., & Kallgren, C. A. (1990) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.58.6.1015 · Cited by 5,965
Cited by
Taufique, K. M. R., & Vaithianathan, S. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.02.097 · Cited by 466
Determinants of organic food consumption. A systematic literature review on motives and barriers
Kushwah, S., Dhir, A., Sagar, M., & Gupta, B. (2019) · Appetite · doi:10.1016/j.appet.2019.104402 · Cited by 443
Sultan, P., Tarafder, T., Pearson, D., & Henryks, J. (2020) · Food Quality and Preference · doi:10.1016/j.foodqual.2019.103838 · Cited by 422
Ahmed, N., Li, C., Khan, A., Qalati, S. A., Naz, S., & Rana, F. (2021) · Journal of Environmental Planning and Management · doi:10.1080/09640568.2020.1785404 · Cited by 393
Qi, X., & Ploeger, A. (2021) · Foods · doi:10.3390/foods10061200 · Cited by 146
“According to Scalco et al. [30], the most important social influences related to consumers’ environmentally friendly food purchases are from their families, friends, colleagues, and other reference groups.”
Background
Metadata
- Authors
- Scalco, A., Noventa, S., Sartori, R., & Ceschi, A.
- Venue
- Appetite
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 112
- Pages
- 235-248
- ISSN
- 0195-6663 (ISSN-L)
- OpenAlex
- W2586362287
- Cited by
- 365
- References
- 70
- FWCI
- 21.21
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Predicting organic food consumption: A meta-analytic structural equation model based on the theory of planned behavior. https://app.cochat.ai/papers/10.1016/j.appet.2017.02.007
- The paper
- Scalco, A., Noventa, S., Sartori, R., & Ceschi, A. (2017). Predicting organic food consumption: A meta-analytic structural equation model based on the theory of planned behavior. Appetite. https://doi.org/10.1016/j.appet.2017.02.007
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
