A co-creation involving peripheral cues: When and how engagement size generates persuasiveness
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Tourists who seek to replicate the exact experiences shared by influencers aim to visit high-end resorts or partake in luxury travel activities in line with the lifestyle portrayed by their favourite influencers.
“Experience-Driven Intentions Tourists who seek to replicate the exact experiences shared by influencers.They aim to visit high-end resorts or partake in luxury travel activities in line with the lifestyle portrayed by their favourite influencers”
From Influencer Marketing and Tourist Behaviour: A Systematic Literature Review of Attitudes, Intentions and Behaviours in Tourism (2026) · cites this paper as Li and Sun 2025
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation
Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2013.12.002 · Cited by 3,276 · see citing works
Digital marketing: a framework, review, and research agenda
Kannan, P. K., & Li, H. “. (2017) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2016.11.006 · Cited by 1,707 · see citing works
Understanding and managing the threat of common method bias: Detection, prevention and control
Kock, F., Berbekova, A., & Assaf, A. G. (2021) · Tourism Management · doi:10.1016/j.tourman.2021.104330 · Cited by 1,692 · see citing works
Social and Heuristic Approaches to Credibility Evaluation Online
Metzger, M. J., Flanagin, A. J., & Medders, R. B. (2010) · Journal of Communication · doi:10.1111/j.1460-2466.2010.01488.x · Cited by 1,394 · see citing works
The Process of Customer Engagement: A Conceptual Framework
Bowden, J. L.-H. (2009) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679170105 · Cited by 1,365 · see citing works
Hughes, C., Swaminathan, V., & Brooks, G. (2019) · Journal of Marketing · doi:10.1177/0022242919854374 · Cited by 789 · see citing works
Ki, C. ‘., & Kim, Y. (2019) · Psychology & Marketing · doi:10.1002/mar.21244 · Cited by 749 · see citing works
Cheng, C., Lau, Y.-C., Chan, L., & Luk, J. W. (2021) · Addictive Behaviors · doi:10.1016/j.addbeh.2021.106845 · Cited by 571 · see citing works
Finding goldilocks influencers: How follower count drives social media engagement
Wies, S., Bleier, A., & Edeling, A. (2023) · Journal of Marketing · doi:10.1177/00222429221125131 · Cited by 326 · see citing works
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John, S. P., & Supramaniam, K. (2026) · International Journal of Tourism Research · doi:10.1002/jtr.70226 · Cited by 5 · see citing works
- Authors
- Li, P., & Sun, Y.
- Affiliations
- Nankai University (CN)
- Shandong Women’s University (CN)
- Corresponding author
- Li, Peng
- ORCID
- Li, Peng
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2025-09
- Volume
- 86
- Pages
- 104311
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W4410218876
- Cited by
- 6
- References
- 10
- Citations by year
- 2026: 4 · 2025: 2
- FWCI
- 10.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Retailing and Consumer Services (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Sociology and Political Science › Diverse Aspects of Tourism Research
- Social Sciences › Sociology and Political Science › Psychology of Social Influence
- Keywords
- social media persuasion, peripheral cues, perceived expertise, perceived popularity, tourism marketing, content richness, event timing, influencer marketing
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.
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