{"title":"在服务失败后,高度拟人化的服务机器人更有可能被客户原谅吗?心灵感知视角","authors":"Yaxin Zhao, Zhangxiang Zhu, Binli Tang","doi":"10.1016/j.ijhm.2025.104103","DOIUrl":null,"url":null,"abstract":"<div><div>Service robot failures are inevitable in the tourism and hospitality industry, so customer forgiveness is crucial. Based on mind perception theory, this study explored the mechanism of service robots’ anthropomorphism level affecting customer forgiveness. Using four scenario-based experiments, the results indicate that highly anthropomorphic service robots are more likely to be forgiven by customers, with perceived experience and perceived agency being the underlying psychological mechanisms. When service robots are relatively less cute, high anthropomorphism can lead to higher perceived experience and perceived agency of customers, and thus, higher forgiveness. By contrast, when service robots are highly cute, the effect of anthropomorphism is not significant. Moreover, high anthropomorphism enhances forgiveness in low-power than high-power customers. Our study complements extant research on service robot anthropomorphism in service failure scenarios and offers a way to mitigate their negative impact.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"126 ","pages":"Article 104103"},"PeriodicalIF":9.9000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Are highly anthropomorphic service robots more likely to be forgiven by customers after service failures? A mind perception perspective\",\"authors\":\"Yaxin Zhao, Zhangxiang Zhu, Binli Tang\",\"doi\":\"10.1016/j.ijhm.2025.104103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Service robot failures are inevitable in the tourism and hospitality industry, so customer forgiveness is crucial. Based on mind perception theory, this study explored the mechanism of service robots’ anthropomorphism level affecting customer forgiveness. Using four scenario-based experiments, the results indicate that highly anthropomorphic service robots are more likely to be forgiven by customers, with perceived experience and perceived agency being the underlying psychological mechanisms. When service robots are relatively less cute, high anthropomorphism can lead to higher perceived experience and perceived agency of customers, and thus, higher forgiveness. By contrast, when service robots are highly cute, the effect of anthropomorphism is not significant. Moreover, high anthropomorphism enhances forgiveness in low-power than high-power customers. Our study complements extant research on service robot anthropomorphism in service failure scenarios and offers a way to mitigate their negative impact.</div></div>\",\"PeriodicalId\":48444,\"journal\":{\"name\":\"International Journal of Hospitality Management\",\"volume\":\"126 \",\"pages\":\"Article 104103\"},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2025-01-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Hospitality Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S027843192500026X\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HOSPITALITY, LEISURE, SPORT & TOURISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hospitality Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S027843192500026X","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
Are highly anthropomorphic service robots more likely to be forgiven by customers after service failures? A mind perception perspective
Service robot failures are inevitable in the tourism and hospitality industry, so customer forgiveness is crucial. Based on mind perception theory, this study explored the mechanism of service robots’ anthropomorphism level affecting customer forgiveness. Using four scenario-based experiments, the results indicate that highly anthropomorphic service robots are more likely to be forgiven by customers, with perceived experience and perceived agency being the underlying psychological mechanisms. When service robots are relatively less cute, high anthropomorphism can lead to higher perceived experience and perceived agency of customers, and thus, higher forgiveness. By contrast, when service robots are highly cute, the effect of anthropomorphism is not significant. Moreover, high anthropomorphism enhances forgiveness in low-power than high-power customers. Our study complements extant research on service robot anthropomorphism in service failure scenarios and offers a way to mitigate their negative impact.
期刊介绍:
The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation.
In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field.
The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.