Customer revisit intention to restaurants: Evidence from online reviews

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.

[1]  Tak-Kee Hui,et al.  Tourists’ satisfaction, recommendation and revisiting Singapore , 2007 .

[2]  Hailin Qu,et al.  Determinant factors and choice intention for Chinese restaurant dining: a multivariate approach. , 1997 .

[3]  L. Cronbach.  Coefficient alpha and the internal structure of tests , 1951 .

[4]  Shao Jing-bo,et al.  The driving factor of customer retention: Empirical study on bank card , 2008, 2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings.

[5]  Christian Homburg,et al.  Personal characteristics as moderators of the relationship between customer satisfaction and loyalty—an empirical analysis , 2001 .

[6]  John T. Bowen,et al.  Market segmentation in hospitality research: no longer a sequential process , 1998 .

[7]  Harry Timmermans,et al.  Consumer Psychology of Tourism, Hospitality and Leisure , 2001 .

[8]  Yonggui Wang,et al.  An Integrated Framework for Service Quality, Customer Value, Satisfaction: Evidence from China's Telecommunication Industry , 2004, Inf. Syst. Frontiers.

[9]  J. Rockström,et al.  An Integrated Framework for , 2015 .

[10]  Chrysanthos Dellarocas,et al.  The Digitization of Word-of-Mouth: Promise and Challenges of Online Feedback Mechanisms , 2003, Manag. Sci..

[11]  C. Fornell.  A National Customer Satisfaction Barometer: The Swedish Experience: , 1992 .

[12]  M. P. Martínez-Ruiz,et al.  Factors influencing repeat visits to a destination: The influence of group composition , 2010 .

[13]  Gabriel R. Bitran,et al.  A comparative analysis of decision making procedures in the catalog sales industry , 1997 .

[14]  Dickson K. W. Chiu,et al.  ISF special issue on emerging social and legal aspects of information systems with Web 2.0 , 2011, Inf. Syst. Frontiers.

[15]  Bonnie J. Knutson,et al.  Lodgserv: A Service Quality Index for the Lodging Industry , 1990 .

[16]  Internationalizing LODGSERV as a measurement tool: a pilot study. , 1994 .

[17]  Haemoon Oh,et al.  Diners' Perceptions of Quality, Value, and Satisfaction , 2000 .

[18]  W. Kim,et al.  Influence of institutional DINESERV on customer satisfaction, return intention, and word-of-mouth , 2009 .

[19]  David Schuff,et al.  What Makes a Helpful Review? A Study of Customer Reviews on Amazon.com , 2010 .

[20]  A. Feinstein,et al.  Customer Satisfaction of Theme Restaurant Attributes and Their Influence on Return Intent , 2004 .

[21]  A. Parasuraman,et al.  A Conceptual Model of Service Quality and Its Implications for Future Research , 1985 .

[22]  A. J. Walford.  Reviews and Reviewing: A Guide , 1986 .

[23]  Heesup Han,et al.  Relationships among hedonic and utilitarian values, satisfaction and behavioral intentions in the fast‐casual restaurant industry , 2010 .

[24]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[25]  Daniel Dajun Zeng,et al.  Domain-specific Chinese word segmentation using suffix tree and mutual information , 2011, Inf. Syst. Frontiers.

[26]  W. Kim,et al.  Customers’ cognitive, emotional, and actionable response to the servicescape: A test of the moderating effect of the restaurant type , 2009 .

[27]  Stephen Burgess,et al.  Trust perceptions of online travel information by different content creators: Some social and legal implications , 2011, Inf. Syst. Frontiers.

[28]  Heesup Han,et al.  Influencing factors on restaurant customers' revisit intention: the roles of emotions and switching barriers. , 2009 .

[29]  Soocheong Jang,et al.  Effects of ethnic authenticity: Investigating Korean restaurant customers in the U.S. , 2012 .

[30]  J. Alegre,et al.  Analysing the effect of satisfaction and previous visits on tourist intentions to return , 2009 .

[31]  W. Kim,et al.  The effects of perceived justice on recovery satisfaction, trust, word-of-mouth, and revisit intention in upscale hotels. , 2009 .

[32]  R. Oliver,et al.  The Dimensionality of Consumption Emotion Patterns and Consumer Satisfaction , 1991 .

[33]  J. Alegre,et al.  Repeat Visitation in Mature Sun and Sand Holiday Destinations , 2006 .

[34]  M. Trusov,et al.  Estimating Aggregate Consumer Preferences from Online Product Reviews , 2010 .

[35]  Jianyao Li,et al.  A Proposed Framework of eWOM and eTrust in Online Hotel Booking: The Influence of an e-Intermediary , 2011, 2011 International Conference on Management and Service Science.

[36]  H. Kaiser.  A second generation little jiffy , 1970 .

[37]  Kyun Jick Lee,et al.  A Practical Method of Predicting Client Revisit Intention in a Hospital Setting , 2005, Health care management review.

[38]  K. Ando,et al.  Important attributes of lodgings to gain repeat business: a comparison between individual travels and group travels. , 2008 .

[39]  Yubo Chen,et al.  Marketing Implications of Online Consumer Product Reviews , 2003 .

[40]  K. Chon,et al.  Antecedents of revisit intention , 2006 .

[41]  Liu Qun.  Chinese Lexical Analysis Using Cascaded Hidden Markov Model , 2004 .

[42]  B. Knutson,et al.  Dineserv: A Tool for Measuring Service Quality in Restaurants , 1995 .

[43]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[44]  M. Bartlett.  TESTS OF SIGNIFICANCE IN FACTOR ANALYSIS , 1950 .

[45]  Ling Liu,et al.  Do online reviews affect product sales? The role of reviewer characteristics and temporal effects , 2008, Inf. Technol. Manag..

[46]  Clay M. Voorhees,et al.  The impact of brand trust and satisfaction on retailer repurchase intentions , 2006 .

[47]  Peter C. Verhoef,et al.  Predicting customer potential value an application in the insurance industry , 2001, Decis. Support Syst..

[48]  Jennifer Jie Xu,et al.  Business Intelligence in Blogs: Understanding Consumer Interactions and Communities , 2012, MIS Q..

[49]  M. Lynn,et al.  Black–White Differences in Tipping , 2012 .