Understanding the relationships between social media influencers and their followers: the moderating role of closeness
Abstract
Purpose The purpose of this paper is to better understand the role of closeness and the relationships between social media influencers and their followers, and, more specifically, how social media influencers can effectively manage their human brands. Design/methodology/approach Two studies were conducted to explore social media influencers. Qualitative content analysis and modeling with path analysis were used to analyze the data. Findings Results found attractiveness and likeability to positively predict attitudes toward the influencer, word-of-mouth and purchase intentions, whereas similarity only predicted word-of-mouth from the follower. Closeness served as a moderator but had different effects. Closeness positively moderated the effect of attractiveness on purchase intentions; however, it had a negative effect with similarity on purchase intentions. Moreover, closeness moderated the effect of likeability on attitude toward the influencer. Research limitations/implications This study was limited by the student sample as well as the students’ self-identification of a social media influencer. Future research should include experimental design manipulating well-known/followed or fictional social media influencers on different social media. Practical implications This paper explores the characteristics of social media influencers as well as the potential outcomes associated with influencers on social media. The implications for marketers and advertisers include a better understanding of how consumers engage with influencers on social media. Originality/value The role of closeness is identified as a moderator of consumers’ behaviors toward social media influencers.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The interactive relationship between influencers and their respective followers encourages the need in the mind of the followers to utilize or follow what the influencer does.
“The interactive relationship between influencers and their respective followers encourages the need in the mind of the followers to utilize or follow what the influencer does (De Veirman et al., 2017;Taillon et al., 2020;X. W. Wang et al., 2019).”
From Welcome to the destination! Social media influencers as cogent determinant of travel decision: A systematic literature review and conceptual framework (2023) · cites this paper as Taillon et al., 2020
Influencers that are likeable and trustworthy are more likely to gather followers over time, which makes them more desirable to reach both broad and niche audiences.
“Influencers that are likeable and trustworthy are more likely to gather followers over time, which makes them more desirable to reach both broad and niche audiences (Taillon et al., 2020).”
From Welcome to the destination! Social media influencers as cogent determinant of travel decision: A systematic literature review and conceptual framework (2023) · cites this paper as Taillon et al., 2020
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior
Deci, E. L., & Ryan, R. M. (2000) · Psychological Inquiry · doi:10.1207/s15327965pli1104_01 · Cited by 34,210 · see citing works
Graneheim, U. H., & Lundman, B. (2004) · Nurse Education Today · doi:10.1016/j.nedt.2003.10.001 · Cited by 20,772 · see citing works
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004) · Journal of Interactive Marketing · doi:10.1002/dir.10073 · Cited by 5,916 · see citing works
Ohanian, R. (1990) · Journal of Advertising · doi:10.1080/00913367.1990.10673191 · Cited by 4,043 · see citing works
Goldsmith, R. E., Lafferty, B. A., & Newell, S. J. (2000) · Journal of Advertising · doi:10.1080/00913367.2000.10673616 · Cited by 1,301 · see citing works
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 · see citing works
Optimal Distinctiveness Theory
Leonardelli, G. J., Pickett, C. L., & Brewer, M. B. (2010) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(10)43002-6 · Cited by 374 · see citing works
Attachment as a Moderator Between Intimate Partner Violence and PTSD Symptoms
Scott, S., & Babcock, J. C. (2010) · Journal of Family Violence · doi:10.1007/s10896-009-9264-1 · Cited by 61 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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 · see citing works
Saini, H., Kumar, P., & Oberoi, S. (2023) · Cogent Social Sciences · doi:10.1080/23311886.2023.2240055 · Cited by 51 · see citing works
Bocci Benucci, S., Fioravanti, G., Silvestro, V., Spinelli, M. C., Brogioni, G., Casalini, A., Allegrini, L., Altomare, A. I., Castellini, G., Ricca, V., et al. (2024) · Nutrients · doi:10.3390/nu16162730 · Cited by 17 · see citing works
- Authors
- Taillon, B. J., Mueller, S. M., Kowalczyk, C. M., & Jones, D. N.
- Affiliations
- East Carolina University (US)
- University of Nevada, Reno (US)
- Venue
- Journal of Product & Brand Management
- Publisher
- Emerald
- Published
- 2020-06-27
- Volume
- 29
- Issue
- 6
- Pages
- 767-782
- ISSN
- 1061-0421 (ISSN-L)
- OpenAlex
- W3037286191
- Cited by
- 298
- References
- 9
- Citations by year
- 2026: 30 · 2025: 62 · 2024: 62 · 2023: 75 · 2022: 46 · 2021: 20 · 2020: 1 · 2019: 1 · 2017: 1
- FWCI
- 47.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Product & Brand Management (publishedVersion)
- Digital Commons - Longwood (Longwood University) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- social media influencers, influencer-follower relationships, closeness, attractiveness, likeability, similarity, word of mouth, purchase intention, consumer behavior, moderating effect
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review