Diving into online ratings to determine hotels' improvement priorities
Authors: Spyridakos, Athanasios 
Zisos, Ioannis 
Grigoroudis, Evangelos 
Matsatsinis, Nikolaos 
Publisher: Inderscience Publishers (IEL)
Issue Date: 1-Jan-2018
Journal: International Journal of Decision Support Systems 
Volume: 3
Issue: 3-4
Keywords: Online ratings, MUSA method, Hotels, Tourist satisfaction, Multicriteria decision analysis, Improvement priorities,, Reviews, Data mining, Hot deck imputation
Abstract: 
Online ratings and reviews are currently considered as extremely effective tools for tourism professionals. Current research reveals that they affect, like no advertisement does, guests' vacation decisions. In this paper we build on existing large scale-survey on customers' ratings to explore the determinants of tourists' satisfaction in different hotel categories. The application of the MUSA meth...
ISSN: 2050-6996
DOI: 10.1504/IJDSS.2018.100191
URI: https://uniwacris.uniwa.gr/handle/3000/1743
Type: Article
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Articles / Άρθρα

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