3,138
Views
3
CrossRef citations to date
0
Altmetric
Research Articles

Bridging the Trust Gap in Influencer Marketing: Ways to Sustain Consumers’ Trust and Assuage Their Distrust in the Social Media Influencer Landscape

, &
Pages 3445-3460 | Received 25 Oct 2021, Accepted 01 Jul 2022, Published online: 17 Jul 2022
 

Abstract

While consumers’ trust in social media influencers (SMIs) has spurred the growth of influencer marketing, consumers have come to distrust what these SMIs say recently. Despite this trend reversal that the industry is undergoing, academic efforts to investigate whether, and if so, why, consumers experience such attitudinal ambivalence in trust and distrust in the SMI landscape is notably lacking. Building upon the concept of attitudinal ambivalence between trust and distrust, this study addresses this gap in the literature. The study used a mixed-method approach. In Study 1, we conducted an exploratory, qualitative study using two focus group interviews. During the interviews, participants were asked to discuss the open-ended questions freely, which included such questions as “What do you think about your choice of SMI in terms of trustworthiness?” and “If you trust (or distrust, or feel ambivalent toward) SMIs, why?” Based upon the findings from Study 1, Study 2 developed and tested empirically the conceptual framework that describes the antecedents and consequences of consumers’ ambivalence within the SMI context: (1) whether SMIs’ personality traits (similarity and attractiveness) and content attributes (visual appeal and informativeness) promote consumers’ trust in the SMIs; (2) whether perceived ad clutter triggers their distrust of the SMIs’ branded content, and (3) whether the attitudinal ambivalence in trust and distrust affect their behavior (i.e., behavioral intention to imitate the SMIs’ product and brand choices) independently as well as interdependently. Except for attractiveness and visual appeal, the online survey consumer data supported the proposed relations strongly, and the results provide meaningful implications for both theory and practice.

Acknowledgments

The authors thank the Editor and the reviewers for their constructive and insightful suggestions to improve the earlier version of this paper. This research is supported in part by the Higher Education Fund of the Macao SAR Government (Grant No. HSS-MUST-2021-10).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Chung-Wha (Chloe) Ki

Chung-Wha (Chloe) Ki is an Assistant Professor in the School of Fashion and Textiles at The Hong Kong Polytechnic University. Her research interests lie in consumer psychology and behavior and linking it to diverse contexts, aimed at identifying core values and/or emotions of consumers encouraging or discouraging their choice decisions.

Tsz Ching Chow

Tsz Ching Chow is a master's student currently studying arts and cultural management at the University of Melbourne. She holds a Bachelor of Arts in fashion and textiles from the Hong Kong Polytechnic University. Her research interest lies in customer behaviour and influencer marketing.

Chunsheng Li

Chunsheng Li is an Assistant Professor in the School of Business at the Macau University of Science and Technology. His research interests include supply chain and operations management, consumer and organizational behavior, business analytics, and data sciences.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 306.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.