顾客满意度
业务
营销
采购
人气
服务质量
客户宣传
客户情报
客户保留
服务(商务)
互联网
客户对客户
广告
计算机科学
心理学
万维网
社会心理学
作者
Yae-Ji Kim,Hak‐Seon Kim
出处
期刊:Sustainability
[MDPI AG]
日期:2022-01-12
卷期号:14 (2): 848-848
被引量:72
摘要
With the growing popularity of the internet, customers can easily share their experiences and information in online reviews. Consumers recognize online reviews as a useful source of information prior to consumption, and many online reviews influence consumer purchasing decisions. Understanding the customer experience in online reviews is thus necessary to maintain customer satisfaction and repurchase intention for the sustainable development of the hotel business. This study assessed the fundamental selection attributes of customers from online reviews reflecting the hotel customer experience, and investigated their association with customer satisfaction. A total of 8229 reviews were collected from Google travel websites from December 2019 to July 2021. Text mining and semantic network analysis were adopted for big data analysis. Factor and regression analyses were then used for quantitative analysis. Based on linear regression analysis, the Service and Dining factors significantly affected customer satisfaction. Service is a critical selection attribute for customers, and the provision of more particular services is necessary, especially after COVID-19. These results indicate that understanding online reviews can provide theoretical and practical implications for developing sustainable strategies for the hotel industry.
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