{"title":"Effects of robot restaurants’ food quality, service quality and high-tech atmosphere perception on customers’ behavioral intentions","authors":"D. Zhu","doi":"10.1108/jhtt-01-2021-0022","DOIUrl":null,"url":null,"abstract":"\nPurpose\nRobot chefs and robot waiters have emerged in the restaurant industry. Based on the curiosity theory and the stimulus–organism–response paradigm, this study aims to understand the influence of robot restaurant attributes on customer behavioral intention before purchase.\n\n\nDesign/methodology/approach\nBased on research data from 289 respondents comprising undergraduates, postgraduates and non-students in China, the theoretical model is tested via the partial least squares technique.\n\n\nFindings\nFood quality perception directly affects regular patronage intention, but it has no significant influence on experience intention. Service quality perception and high-tech atmosphere perception positively affect experience intention and regular patronage intention through the mediator of interest in robot restaurants.\n\n\nOriginality/value\nDifferent from previous studies focusing on human employee restaurants, this study, to the best of the authors’ knowledge, is the first to systematically investigate the influence of robot restaurant attributes on customer behavioral intention, and it finds that these attributes have their own uniqueness vis-à-vis influencing customer behavioral intention.\n","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":" ","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospitality and Tourism Technology","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/jhtt-01-2021-0022","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 9
Abstract
Purpose
Robot chefs and robot waiters have emerged in the restaurant industry. Based on the curiosity theory and the stimulus–organism–response paradigm, this study aims to understand the influence of robot restaurant attributes on customer behavioral intention before purchase.
Design/methodology/approach
Based on research data from 289 respondents comprising undergraduates, postgraduates and non-students in China, the theoretical model is tested via the partial least squares technique.
Findings
Food quality perception directly affects regular patronage intention, but it has no significant influence on experience intention. Service quality perception and high-tech atmosphere perception positively affect experience intention and regular patronage intention through the mediator of interest in robot restaurants.
Originality/value
Different from previous studies focusing on human employee restaurants, this study, to the best of the authors’ knowledge, is the first to systematically investigate the influence of robot restaurant attributes on customer behavioral intention, and it finds that these attributes have their own uniqueness vis-à-vis influencing customer behavioral intention.
期刊介绍:
The Journal of Hospitality and Tourism Technology is the only journal dedicated solely for research in technology and e-business in tourism and hospitality. It is a bridge between academia and industry through the intellectual exchange of ideas, trends and paradigmatic changes in the fields of hospitality, IT and e-business. It covers: -E-Marketplaces, electronic distribution channels, or e-Intermediaries -Internet or e-commerce business models -Self service technologies -E-Procurement -Social dynamics of e-communication -Relationship Development and Retention -E-governance -Security of transactions -Mobile/Wireless technologies in commerce -IT control and preparation for disaster -Virtual reality applications -Word of Mouth. -Cross-Cultural differences in IT use -GPS and Location-based services -Biometric applications -Business intelligence visualization -Radio Frequency Identification applications -Service-Oriented Architecture of business systems -Technology in New Product Development