The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
‘Instagram made Me buy it’: Generation Z impulse purchases in fashion industry
Abstract
Abstract This paper investigates what types of Instagram marketing tools are the most effective in relation to Generation Z's impulse purchasing behaviour within fashion industry in the context of the United Kingdom. The research applies Stimulus-Organism-Response model to the context of Instagram. The findings of this qualitative study based on eight extensive focus groups conclude that there are significant gender differences in relation to impulse purchasing behaviour on Instagram. Instagram is vastly influential in encouraging impulse purchases amongst females, however, this was not the case for male participants. A revised Stimulus-Organism-Response model is proposed to Instagram, concluding that advertisements, opinion leaders and user-generated content act as stimuli (S) in evoking positive emotions (O), which subsequently trigger impulse purchases (R) in Generation Z females.
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Effective influencer marketing: A social identity perspective
Farivar, S., & Wang, F. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.103026 · Cited by 251
Zhou, S., Blazquez, M., McCormick, H., & Barnes, L. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.05.011 · Cited by 181
Sweet escape: The role of empathy in social media engagement with human versus virtual influencers
Mirowska, A., & Arsenyan, J. (2023) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2023.103008 · Cited by 154
Chang, C.-W., & Chang, S.-H. (2023) · Sage Open · doi:10.1177/21582440231191741 · Cited by 93
McKee, K. M., Dahl, A. J., & Peltier, J. W. (2024) · Journal of Consumer Behaviour · doi:10.1002/cb.2199 · Cited by 75
Metadata
- Authors
- Djafarova, E., & Bowes, T.
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 59
- Pages
- 102345
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W3094261768
- Cited by
- 650
- References
- 67
- FWCI
- 62.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
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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.