The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.
A study of antecedents and outcomes of social media WOM towards luxury brand purchase intention
Abstract
Abstract This research develops a conceptualized model that illuminates the role of luxury perceptions in explaining consumer engagement in social media WOM and luxury purchase intention. It also explores the moderating effects of consumer demographic characteristics and perceived social status. The proposed model is validated by using SEM in AMOS against 282 samples, and chi-square difference test is applied to test the moderating effects. The findings demonstrate that social media WOM positively influences consumer luxury purchase intention. Perceived quality highly influences functional and social value, and social media WOM is strongly influenced by personal and functional value. This research 1) highlights the powerful role of social media WOM in enhancing luxury brands purchase intention, 2) extends current body of knowledge of the social media WOM and its focal antecedents, and 3) shows how consumer characteristics (e.g., age, gender, income, education, perceived social status) are important for developing customized marketing strategy to promote luxury brands on SNS. Overall, this study helps firms to understand which aspect of luxury brands to be emphasized to initiate consumers into social media WOM, which in turn, influences purchase intention.
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1 retracted
Kautish, P., Khare, A., & Sharma, R. (2020) · Journal of Product & Brand Management · doi:10.1108/jpbm-08-2019-2535 · Cited by 111
RetractedUser Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Users of the world, unite! The challenges and opportunities of Social Media
Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875
Multivariate data analysis : a global perspective
Hair, J. F. (2010) · Cited by 12,254
Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991) · Journal of Marketing Research · doi:10.1177/002224379102800305 · Cited by 5,853
Hedonic Consumption: Emerging Concepts, Methods and Propositions
Hirschman, E. C., & Holbrook, M. B. (1982) · Journal of Marketing · doi:10.1177/002224298204600314 · Cited by 5,616
Consumer engagement in a virtual brand community: An exploratory analysis
Brodie, R. J., Ilic, A., Juric, B., & Hollebeek, L. (2013) · Journal of Business Research · doi:10.1016/j.jbusres.2011.07.029 · Cited by 3,221
Kim, A. J., & Ko, E. (2012) · Journal of Business Research · doi:10.1016/j.jbusres.2011.10.014 · Cited by 2,449
Data collection in a flat world: the strengths and weaknesses of Mechanical Turk samples
Goodman, J. K., Cryder, C. E., & Cheema, A. (2013) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1753 · Cited by 2,242
Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites
Chu, S.-C., & Kim, Y. (2011) · International Journal of Advertising · doi:10.2501/ija-30-1-047-075 · Cited by 2,053
Cited by
Hanaysha, J. R. (2022) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2022.100102 · Cited by 331
Rahman, M. S., Bag, S., Hossain, M. A., Abdel Fattah, F. A. M., Gani, M. O., & Rana, N. P. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103273 · Cited by 170
Pangarkar, A., Arora, V., & Shukla, Y. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.103001 · Cited by 142
Yu, F., & Zheng, R. (2022) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-08-2021-0564 · Cited by 104
Lee, W.-C., Lee, J.-S., & Suh, J. (2026) · Applied Sciences · doi:10.3390/app16062816 · Cited by 2
Metadata
- Authors
- Park, J., Hyun, H., & Thavisay, T.
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 58
- Pages
- 102272
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W3086266270
- Cited by
- 287
- References
- 133
- FWCI
- 49.91
- 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.
