The dining experience of Beijing Roast Duck: A comparative study of the Chinese and English online consumer reviews |
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| Affiliation: | 1. Division of Engineering, Business, and Computing Penn State Berks Tulpehocken Road, P.O. Box 7009, Reading, PA 19610, United States;2. School of Hospitality & Tourism Management, Oklahoma State University, 365 Human Sciences, Stillwater, OK 74078, United States;3. The School of Hospitality Business, Broad College of Business, Michigan State University, 667 North Shaw Lane, East Lansing, MI 48824, United States;2. Institute for Innovation in Business and Social Research, University of Wollongong, Northfields Avenue, Wollongong, NSW 2522, Australia;1. Federal Institute of Education, Science and Technology of São Paulo – Câmpus Cubatão, Rua Maria Cristina, 50, Cubatão, São Paulo, Cep: 11533-160, Brazil;2. Universitat de Girona, Ferrater Mora, 1, 17004, Girona, Spain;1. School of Hotel & Tourism Management, The Hong Kong Polytechnic University, 17 Science Museum Road, TST-East, Kowloon, Hong Kong Special Administrative Region;2. School of Management, Harbin Institute of Technology, 92 Xidazhi Street, Harbin 150001, PR China |
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| Abstract: | Currently research investigating travel dining experience from a cross-cultural perspective was limited. This study aimed to compare the domestic Chinese and foreign English-speaking customers’ dining experience of Beijing Roast Duck, a specialty food representing the gastronomic identity of the local cuisine. By employing semantic network analysis of the online consumer reviews, the results identified three common dimensions perceived by both groups, including the food, the restaurant and the occasion for dining out, and the service encounter. However, the domestic and foreign customers differed in their orientation about the aspects of the service encounter that they cared about. They also showed substantial differences in their perception about value for money as well as the cultural and experiential nature of the meal. The study also attested to the utility of the semantic network analysis method to uncover the rich information contained in the vast user generated content online. |
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| Keywords: | Dining experience Local food Travel and tourism Cultural distance Beijing Roast Duck Semantic network analysis |
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