WORD OF MOUTH!
THE PATH OF USER BEHAVIOR IN THE RESTAURANTS SECTION OF THE TRIPADVISOR PLATFORM
DOI:
https://doi.org/10.22277/rgo.v16i2.7827Keywords:
Restaurants, website, tripadvisor, word of mouthAbstract
Purpose: Analyze the behavior of users of the Tripadvisor restaurant section in light of the Theory of Planned Behavior, considering the antecedents of the intention to use the platform and its effect on word-of-mouth behavior.
Method/approach: Exploratory-deductive research that verified the relationships between TPB constructs and word-of-mouth scales. Sample data were collected through a questionnaire, totaling 111 respondents, with preliminary exploratory analysis procedures, descriptive analysis of the sample, normality tests, confirmatory factor analysis and structural equation modeling.
Main findings: The influence of opinions on subjective norms and familiarity with the platform was observed. Furthermore, attitudes towards using the platform, subjective norms and perceived control of individuals as predictors of intention to use. And, finally, the intention to use was considered as a predictor of the behavior of issuing positive word of mouth.
Theoretical, practical/social contributions: Better theoretical understanding of the relationships between the role of received word of mouth and familiarity in the antecedents of the intention to search for information on the Tripadvisor platform, as well as the effect of these intentions on the behavior of issuing word of mouth. As for practical application, they have direct implications for restaurant owners and customers, in addition to the platform management itself. Regarding social contributions, the discussion about better exploring “family friendly” features, since larger families do not seem to be influenced by evaluations on the website.
Originality/relevance: Although the Restaurants section of the Tripadvisor platform has been the subject of studies in the tourism and hospitality literature, curiously, it has been overlooked in comparison to other sections on the platform, even though this type of technology is relevant for micro and small food businesses. In this context, there is a gap regarding consumer engagement in word-of-mouth behaviors, especially in Brazil.
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