The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Consumer attitudes and buying behavior for green food products: From the aspect of green perceived value (GPV)
Abstract
Purpose: The purpose of this paper is to apply the multidimensional construct of green perceived value (GPV) to the buying behavior of green food products to enhance the understanding of consumer behavior intentions and explain the formation of the intention to buy green food products. Design/methodology/approach: This study adopted four GPVs (i.e. functional value, conditional value, social value and emotional value) and explored the relationships among GPV, attitudes and purchase intention. A total of 300 self-administered questionnaires were distributed, from which 253 usable responses were obtained. Findings: The relationships between six constructs and 20 indicators were measured using structural equation modeling. All the underlying dimensions had a significant effect on consumers’ attitudes, significantly affecting their purchase intention. Originality/value: Implications for future research and marketing strategies in the field of purchasing behaviors of green food products are discussed.
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Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
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
Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence
Zeithaml, V. A. (1988) · Journal of Marketing · doi:10.1177/002224298805200302 · Cited by 18,292
The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun
Holbrook, M. B., & Hirschman, E. C. (1982) · Journal of Consumer Research · doi:10.1086/208906 · Cited by 8,275
Consumer Perceived Value: The Development of a Multiple Item Scale
Sweeney, J. C., & Soutar, G. N. (2001) · Journal of Retailing · doi:10.1016/s0022-4359(01)00041-0 · Cited by 6,643
Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value
Babin, B. J., Darden, W. R., & Griffin, M. (1994) · Journal of Consumer Research · doi:10.1086/209376 · Cited by 6,020
Why we buy what we buy: A theory of consumption values
Sheth, J. N., Newman, B. I., & Gross, B. L. (1991) · Journal of Business Research · doi:10.1016/0148-2963(91)90050-8 · Cited by 4,930
Nature and Operation of Attitudes
Ajzen, I. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.27 · Cited by 4,321
Byrne, B. M. (2013) · doi:10.4324/9780203805534 · Cited by 4,016
Cited by
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
Why Do Consumers Make Green Purchase Decisions? Insights from a Systematic Review
Zhang, X., & Dong, F. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17186607 · Cited by 337
Akbar, A., Ali, S., Ahmad, M. A., Akbar, M., & Danish, M. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16204043 · Cited by 122
Chen, M., & Zhang, W.-H. (2021) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2020.11.099 · Cited by 91
Issock Issock, P. B., Mpinganjira, M., & Roberts-Lombard, M. (2019) · International Journal of Emerging Markets · doi:10.1108/ijoem-09-2018-0489 · Cited by 84
Metadata
- Authors
- Woo, E., & Kim, Y. G.
- Venue
- British Food Journal
- Publisher
- Emerald
- Published
- 2019-02-04
- Volume
- 121
- Issue
- 2
- Pages
- 320-332
- ISSN
- 0007-070X (ISSN-L)
- OpenAlex
- W2921093264
- Cited by
- 284
- References
- 46
- FWCI
- 24.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- Woo, E., & Kim, Y. G. (2019). Consumer attitudes and buying behavior for green food products: From the aspect of green perceived value (GPV). British Food Journal. https://doi.org/10.1108/bfj-01-2018-0027
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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.