The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Impact of Social Media Influencers on Customer Engagement and Purchase Intention: A Meta-Analysis
Open accessAbstract
This research aims at providing a meta-analysis of empirical findings of the literature on the characteristics of social media influencers on customer engagement and purchase intention. For this purpose, researchers derived eight social media influencers’ characteristics, i.e., homophily, expertise, trustworthiness, credibility, congruence with the product, entertainment value, informative value, and attractiveness. The current study synthesizes 176 effect sizes derived from 62 individual studies, and 22,554 individuals act as an aggregate sample. Results revealed that these characteristics have a moderate to high correlation with customer engagement and purchase intention. The entertainment value of social media influencers has the strongest association with customer engagement among all the attributes studied in this analysis. It also concluded that the credibility of influencers impacts purchase intention more than any other attribute. This work provides a novel approach to reducing the heterogeneity in influencer marketing research by empirically specifying the directions of relationships and the extent of the effect of these relationships.
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Cites
Consumer trust, value, and loyalty in relational exchanges
Sirdeshmukh, D., Singh, J., & Sabol, B. (2002) · Journal of Marketing · doi:10.1509/jmkg.66.1.15.18449 · Cited by 4,196
Lou, C., & Yuan, S. (2019) · Journal of Interactive Advertising · doi:10.1080/15252019.2018.1533501 · Cited by 2,795
Kim, A. J., & Ko, E. (2012) · Journal of Business Research · doi:10.1016/j.jbusres.2011.10.014 · Cited by 2,449
Djafarova, E., & Rushworth, C. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.009 · Cited by 1,756
Celebrity Endorsement: A Literature Review
Erdogan, B. Z. (1999) · Journal of Marketing Management · doi:10.1362/026725799784870379 · Cited by 1,734
Sokolova, K., & Kefi, H. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.011 · Cited by 1,650
Schouten, A. P., Janssen, L., & Verspaget, M. (2020) · International Journal of Advertising · doi:10.1080/02650487.2019.1634898 · Cited by 1,422
Vrontis, D., Makrides, A., Christofi, M., & Thrassou, A. (2021) · International Journal of Consumer Studies · doi:10.1111/ijcs.12647 · Cited by 1,178
YouTube vloggers' influence on consumer luxury brand perceptions and intentions
Lee, J. E., & Watkins, B. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2016.04.171 · Cited by 1,027
Moher, D. (2009) · Journal of Chinese Integrative Medicine · doi:10.3736/jcim20090918 · Cited by 909
Metadata
- Authors
- Ao, L., Bansal, R., Pruthi, N., & Khaskheli, M. B.
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2023-02-02
- Volume
- 15
- Issue
- 3
- Pages
- 2744
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W4319158453
- Cited by
- 279
- References
- 82
- FWCI
- 15.47
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Impact of Social Media Influencers on Customer Engagement and Purchase Intention: A Meta-Analysis. https://app.cochat.ai/papers/10.3390/su15032744
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- Ao, L., Bansal, R., Pruthi, N., & Khaskheli, M. B. (2023). Impact of Social Media Influencers on Customer Engagement and Purchase Intention: A Meta-Analysis. Sustainability. https://doi.org/10.3390/su15032744
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