Understanding followers’ stickiness to digital influencers: The effect of psychological responses
Lixia Hu,
Qingfei Min,
Shengnan Han and
Zhiyong Liu
International Journal of Information Management, 2020, vol. 54, issue C
Abstract:
The ability of digital influencers to convert their followers into paying customers relies heavily on the followers’ “stickiness”, a topic that has not been adequately investigated in the existing literature. From a psychological perspective, this study develops a theoretical model of followers’ stickiness. Two forms of followers’ psychological responses to digital influencers are jointly considered: wishful identification and parasocial relationships. This study also categorizes and examines the moderating effects exerted by the genres of digital influencers’ revenue models, which represent a vital contextual factor for forming followers’ stickiness. A survey was conducted on Weibo, the Chinese equivalent to Twitter, with a sample of 319 followers of real digital influencers that are using different genres of revenue models. The findings indicate that both wishful identification and parasocial relationships have significant but different impacts on followers’ stickiness in different genres of influencers’ revenue models. This paper enriches our understanding of the phenomenon of followers’ stickiness toward digital influencers and provides practical guidance for digital influencers and social commerce/media platform providers.
Keywords: Digital influencer; Stickiness; Parasocial relationships; Wishful identification; Revenue model (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (18)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0268401219306681
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:54:y:2020:i:c:s0268401219306681
DOI: 10.1016/j.ijinfomgt.2020.102169
Access Statistics for this article
International Journal of Information Management is currently edited by Yogesh K. Dwivedi
More articles in International Journal of Information Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().