caa a22 4500 606228926 CHVBK 20210128101206.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s10796-013-9446-5 doi (NATIONALLICENCE)springer-10.1007/s10796-013-9446-5 Customer revisit intention to restaurants: Evidence from online reviews [Elektronische Daten] [Xiangbin Yan, Jing Wang, Michael Chau] One of the generally recognized marketing principles is that retaining customers is more profitable than winning prospective customers. Therefore, how to retain existing customers and improve their repeat purchases is an important consideration for practitioners to gain profit. The purpose of this study is to investigate factors influencing customer revisit intention to restaurants by analyzing online reviews. We used regression analysis to analyze quantitative scores of 10,136 restaurant reviews collected from an online life community in China, and found that food quality, price and value, service quality, and atmosphere are the antecedents of restaurant customers' revisit intention, and that restaurant type moderates the effect of customer satisfaction with service quality, atmosphere, and price and value on revisit intention. We also used text mining technology to identify detailed evaluation indicators in each dimension and explore customers' evaluation behavior characteristics. We found that food quality and, price and value have four indicators while service quality and atmosphere have two indicators. The results are useful for restaurant operators to take effective actions to attract more customers to revisit. Springer Science+Business Media New York, 2013 Revisit intention nationallicence Customer satisfaction nationallicence Online reviews nationallicence Regression analysis nationallicence Text mining nationallicence Yan Xiangbin Department of Management Science and Engineering, Harbin Institute of Technology, Harbin, China aut Wang Jing Department of Management Science and Engineering, Harbin Institute of Technology, Harbin, China aut Chau Michael School of Business, The University of Hong Kong, Hong Kong, China aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/3(2015-06-01), 645-657 1387-3326 17:3<645 2015 17 10796 https://doi.org/10.1007/s10796-013-9446-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-013-9446-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yan Xiangbin Department of Management Science and Engineering, Harbin Institute of Technology, Harbin, China aut NATIONALLICENCE 700 1- Wang Jing Department of Management Science and Engineering, Harbin Institute of Technology, Harbin, China aut NATIONALLICENCE 700 1- Chau Michael School of Business, The University of Hong Kong, Hong Kong, China aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/3(2015-06-01), 645-657 1387-3326 17:3<645 2015 17 10796