A Bayesian statistics approach to hospitality research

Bianchi, Giuliano (Ecole hôtelière de Lausanne, HES-SO // University of Applied Sciences Western Switzerland) ; Heo, Cindy Yoonjoung (Ecole hôtelière de Lausanne, HES-SO // University of Applied Sciences Western Switzerland)

Bayesian statistics approach contraposes inferential statistics by the fact that it introduces experts’ opinion in the quantitative analysis. While this approach has played an increasingly important role in various fields of research, its application to hospitality research has been limited. Bayesian statistics helps resolve the issue of the shortage of observations, which is a frequent problem in certain areas of the hospitality industry. Secondly, the Bayesian approach is particularly well suited when the variables used are already subjective or abstract. Therefore, this study aims to explain how a Bayesian statistics approach contributes to the advancement of hospitality management and demonstrates how this approach can be applied to analyse guests’ online reviews for a hotel.


Keywords:
Article Type:
scientifique
Faculty:
Economie et Services
School:
EHL
Institute:
Aucun institut
Subject(s):
Economie/gestion
Date:
2021-03
Pagination:
10 p.
Published in:
Current issues in tourism
Numeration (vol. no.):
To be published
DOI:
ISSN:
1368-3500
Appears in Collection:



 Record created 2021-03-30, last modified 2021-04-06

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