The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Predicting consumer intentions to purchase energy‐efficient products
Abstract
Purpose: This research aims to examine behavioral intentions toward purchase of energy‐efficient products utilizing the theory of reasoned action framework. Design/methodology/approach: Survey data from a sample of 202 shoppers of electrical appliances and small electronic products was utilized to estimate the proposed model. Findings: The main finding is that attitude toward energy‐efficient product has a stronger effect on intentions compared to the subjective norm component. Research limitations/implications: In order to maximize use of their financial resources, companies marketing energy‐efficient products need to focus more on enhancing consumer attitudes toward their brands and spend relatively less on efforts to educate consumers about using energy – efficient appliances in general. Practical implications: Since attitudes are formed from beliefs and knowledge, use of informational ads that clearly illustrate energy‐saving consequences of their specific brands of products will be an effective marketing approach. Originality/value: This study is timely considering the recent steady increase in energy prices accompanied by growing environmental concerns among businesses, governments, and consumers.
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Cites
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Cited by
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
Yadav, R., & Pathak, G. S. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.06.120 · Cited by 1,463
Yadav, R., & Pathak, G. S. (2017) · Ecological Economics · doi:10.1016/j.ecolecon.2016.12.019 · Cited by 1,318
Green purchasing behaviour: A conceptual framework and empirical investigation of Indian consumers
Jaiswal, D., & Kant, R. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.11.008 · Cited by 846
Faculty of Economics and Management, U. P. M. K. L., Lim, X. J., Mohd Radzol, A. R. B., Faculty of Economics and Management, U. P. M. K. L., Cheah, J.-H. (., Azman Hashim International Business School, U. T. M. K. L., Wong, M. W., & Faculty of Health, A. A. D. (2017) · Asian Journal of Business Research · doi:10.14707/ajbr.170035 · Cited by 679
Metadata
- Authors
- Ha, H., & Janda, S.
- Venue
- Journal of Consumer Marketing
- Publisher
- Emerald
- Published
- 2012-10-26
- Volume
- 29
- Issue
- 7
- Pages
- 461-469
- ISSN
- 0736-3761 (ISSN-L)
- OpenAlex
- W2089119049
- Cited by
- 386
- References
- 52
- FWCI
- 11.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ha, H., & Janda, S. (2012). Predicting consumer intentions to purchase energy‐efficient products. Journal of Consumer Marketing. https://doi.org/10.1108/07363761211274974
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.
