The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Green consumerism: The influence of product attributes and values on purchasing intentions
Open accessAbstract
Generally, a majority of consumers support the idea of purchasing green products. However, this is often not translated into actual behaviour. We argue that there is a trade‐off between the influence of product attributes on purchasing decisions, whereby it is assumed that consumers tend to focus on egoistic product attributes first, followed by green product attributes. In two experimental studies (N = 100 and N = 107), we find support for this reasoning: If product attributes fulfil self‐serving motives (low price, familiar or well‐known brand), green product attributes (cruelty free and low environmental impact) influence purchasing intentions more than when self‐serving motives are not fulfilled (high price, unfamiliar or unknown brand). Further, we investigated if and how values weaken or strengthen the influence of product attributes on purchasing intentions. We conclude that biospheric values steer how product attributes influence purchasing intentions stronger than egoistic values. In line with our expectations, we find that if biospheric values are weak, egoistic product attributes are more influential, whereas if biopheric values are strong, green product attributes are more influential. Copyright © 2014 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Schwartz, S. H. (1992) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60281-6 · Cited by 14,619
New Environmental Theories: Toward a Coherent Theory of Environmentally Significant Behavior
Stern, P. C. (2000) · Journal of Social Issues · doi:10.1111/0022-4537.00175 · Cited by 8,682
Measuring Attitude toward the Brand and Purchase Intentions
Spears, N., & Singh, S. N. (2004) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2004.10505164 · Cited by 1,812
Pashler, H., & Wagenmakers, E. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612465253 · Cited by 1,321
Magnusson, M. K., Arvola, A., Hursti, U.-K. K., Åberg, L., & Sjödén, P.-O. (2003) · Appetite · doi:10.1016/s0195-6663(03)00002-3 · Cited by 941
The Value of Direct Replication
Simons, D. J. (2014) · Perspectives on Psychological Science · doi:10.1177/1745691613514755 · Cited by 630
Measurement of ethical food choice motives
Lindeman, M., & Väänänen, M. (2000) · Appetite · doi:10.1006/appe.1999.0293 · Cited by 437
The Role of Price in Multi-Attribute Product Evaluations
Erickson, G. M., & Johansson, J. K. (1985) · Journal of Consumer Research · doi:10.1086/208508 · Cited by 412
Cited by
The mindful consumer: Balancing egoistic and altruistic motivations to purchase local food
Birch, D., Memery, J., & De Silva Kanakaratne, M. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.10.013 · Cited by 272
Green purchase behavior of undergraduate students in Hong Kong
Lai, C. K. M., & Cheng, E. W. L. (2016) · The Social Science Journal · doi:10.1016/j.soscij.2015.11.003 · Cited by 220
Consumer food waste behaviour in universities: sharing as a means of prevention
Lazell, J. (2016) · Journal of Consumer Behaviour · doi:10.1002/cb.1581 · Cited by 135
Florence, E. S., Fleischman, D., Mulcahy, R., & Wynder, M. (2022) · Journal of Social Marketing · doi:10.1108/jsocm-09-2021-0221 · Cited by 113
Grappe, C. G., Lombart, C., Louis, D., & Durif, F. (2021) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-12-2020-0489 · Cited by 57
Increasing Advertising Literacy to Unveil Disinformation in Green Advertising
Naderer, B., & Opree, S. J. (2021) · Environmental Communication · doi:10.1080/17524032.2021.1919171 · Cited by 38
Ab. Wahab, M. (2017) · Management Decision · doi:10.1108/md-01-2017-0039 · Cited by 31
Servitization for a Circular Economy in Construction
Mark‐Herbert, C., Berg, E., Aldberg, J., & Roos, A. (2025) · Business Strategy and the Environment · doi:10.1002/bse.4218 · Cited by 7
Tilikidou, I., & Delistavrou, A. (2023) · Behavioral Sciences · doi:10.3390/bs13060518 · Cited by 6
Metadata
- Authors
- Schuitema, G., & de Groot, J. I. M.
- Venue
- Journal of Consumer Behaviour
- Publisher
- Wiley
- Published
- 2014-11-19
- Volume
- 14
- Issue
- 1
- Pages
- 57-69
- ISSN
- 1472-0817 (ISSN-L)
- 1479-1838
- OpenAlex
- W1496165192
- Cited by
- 254
- References
- 9
- FWCI
- 26.72
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.