Customer’s digital advocacy: the impact of reviews and influencers in building trust for tourism and hospitality services
Abstract
Purpose Marketers are focusing on the need for customer advocacy to influence other customers and drive consumption. The purpose of this paper is to explore whether online or digital advocacy influences customer decision-making related to the purchase of travel and tourism services. This paper will also identify the categories of influencers that stimulate purchase for travel and tourism. Influencers do want to know the kind of information customers are looking for. Design/methodology/approach This paper is based on a primary survey of travelers to understand their degree of dependence on online reviews while making hospitality consumption-related decisions. Findings This paper looks at both influencer marketing and online reviews by consumers to understand consumption toward advocated brand. Influencers who are perceived as unbiased in their viewpoints are trending on social media. Consumers gain trust in reviews that disclose reviewer information, number of relevant reviews are present over a period and presence of both unbiased positive and negative recommendations related to the establishment and prices versus performance. Practical implications Marketers and influencers alike can gain from the factors influencing consumer trust toward online advocacy and reviewed information. Originality/value Research is relevant for all stakeholders as it highlights the fact that consumers are looking at online reviews and one does not have to be a famous personality to influence purch…
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?
Social media influencers have a profound impact on tourist behaviours and decision-making processes.
“Social media influencers have a profound impact on tourist behaviours and decision-making processes (Pop et al. 2022).”
From Influencer Marketing and Tourist Behaviour: A Systematic Literature Review of Attitudes, Intentions and Behaviours in Tourism (2026) · cites this paper as Dutta et al. 2021
Cites
Understanding Guest Satisfaction with Urban Hotel Location
Yang, Y., Mao, Z., & Tang, J. (2018) · Journal of Travel Research · doi:10.1177/0047287517691153 · Cited by 156 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
John, S. P., & Supramaniam, K. (2026) · International Journal of Tourism Research · doi:10.1002/jtr.70226 · Cited by 5 · see citing works
- Authors
- Dutta, K., Sharma, K., & Goyal, T.
- Affiliations
- Rishihood University (IN)
- Great Lakes Institute of Management (IN)
- Indian Institute of Management Jammu (IN)
- Venue
- Worldwide Hospitality and Tourism Themes
- Publisher
- Emerald
- Published
- 2021-05-31
- Volume
- 13
- Issue
- 2
- Pages
- 260-274
- ISSN
- 1755-4217 (ISSN-L)
- OpenAlex
- W3167918909
- Cited by
- 30
- References
- 1
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 6 · 2023: 12 · 2022: 2
- FWCI
- 6.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Worldwide Hospitality and Tourism Themes (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 › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- online reviews, influencer marketing, consumer trust, purchase decision, social media influencers, perceived bias
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