An online reviews-driven method for the prioritization of improvements in hotel services

被引:103
作者
Zhang, Chenxi [1 ]
Xu, Zeshui [1 ]
Gou, Xunjie [1 ]
Chen, Shuixia [1 ]
机构
[1] Sichuan Univ, Business Sch, Chengdu 610064, Peoples R China
基金
中国国家自然科学基金;
关键词
Online reviews; Hotel service improvement; Customer satisfaction; Asymmetric relationship; Three-way decision model; CUSTOMER REVIEWS; ASYMMETRIC INFLUENCES; TOURIST SATISFACTION; QUALITY ATTRIBUTES; DECISION; CLASSIFICATION; INCLUSION; FEATURES; RATINGS; CHOICE;
D O I
10.1016/j.tourman.2021.104382
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Service improvement is of great importance for hotels to gain advantages. Several studies determined the prioritization of service improvement by identifying the relationship between service performance and customer satisfaction but ignored the impact of consumer expectations and managers' subjective opinions. This paper provides an online reviews-driven method for hoteliers to determine the prioritization of improvements in hotel services. Firstly, the improved penalty-reward contrast analysis that quantifies the sentiment tendencies and intensities in online reviews is used to identify types of service attributes. Secondly, based on the categorization of attribute types, three types of consumer expectations that affect consumer satisfaction are mined. Thirdly, the improved three-way decision model is used to determine the priority of allocation resources combining with managers' subjective opinions. Finally, the proposed method is applied to the case study of Four Seasons Hotel service improvement, and the advantages of this method are illustrated by comparative analysis.
引用
收藏
页数:13
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