Understanding the relationships between distances and herd behavior in online reviews: the moderating effects of hospitality experience

Autor: Fujing Xue, Longzhu Dong, Baojun Gao, Zhen Yu, Vasyl Taras
Rok vydání: 2020
Předmět:
Zdroj: International Journal of Contemporary Hospitality Management. 32:3295-3314
ISSN: 0959-6119
DOI: 10.1108/ijchm-02-2020-0134
Popis: PurposeThis study aims to investigate the determinants of herd behavior in online hotel service evaluations, focusing on the cultural and geographic distance characteristics of customers.Design/methodology/approachOn the basis of 381,462 TripAdvisor reviews of hotels in the USA written by more than 100,000 customers from 92 countries, this study uses the empirical analysis to explore the collective roles of cultural distance, geographic distance and hospitality experience on herd behavior in online hotel ratings.FindingsCultural and geographic distances between customers and product and service locations positively affect herding and these two effects are substitutable. The hospitality experience of customers attenuates the impacts of distances on herding. These results are robust for multiple hotel service ratings.Practical implicationsFindings help hotels understand perceptual biases of customers on hotel services under the social influence and consequently develop effective marketing strategies to boost hotel revenues and increase profitability.Originality/valueThe research contributes to hospitality and online review literature by understanding how cultural and geographic distances shape online hotel service evaluations under the root of the uncertainty of decision-making and the observation of others’ behavior. The research also contributes to the distances in international business literature by deepening the understanding of the substitution and heterogeneity of distance effects. Methodologically, a time-varying and monotonously increasing variable is constructed to depict customers’ hospitality experience. The extensive data volume ensures the generalizability of our results.
Databáze: OpenAIRE