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

IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM International Journal of Hospitality Management Pub Date : 2025-01-13 DOI:10.1016/j.ijhm.2025.104103
Yaxin Zhao, Zhangxiang Zhu, Binli Tang
{"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,&nbsp;Zhangxiang Zhu,&nbsp;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,&nbsp;Zhangxiang Zhu,&nbsp;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}
引用次数: 0

摘要

在旅游业和酒店业,服务机器人的故障是不可避免的,因此客户的原谅至关重要。基于心理知觉理论,本研究探讨了服务机器人拟人化程度对顾客宽恕的影响机制。通过四个基于场景的实验,结果表明,高度拟人化的服务机器人更容易被客户原谅,感知体验和感知代理是潜在的心理机制。当服务机器人相对不那么可爱时,高度拟人化可以导致更高的感知体验和感知代理客户,从而更高的宽恕。相比之下,当服务机器人非常可爱时,拟人化的效果并不显著。此外,高度拟人化在低权力顾客中比在高权力顾客中更能促进宽恕。我们的研究补充了现有的服务机器人拟人化在服务故障场景中的研究,并提供了一种减轻其负面影响的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Hospitality Management
International Journal of Hospitality Management HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
21.20
自引率
9.40%
发文量
218
审稿时长
85 days
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.
期刊最新文献
Enhancing organizational structures for revenue management in small and medium-sized independent hotels: Evidence from China The compass for restaurant menu design experiments: Dissecting restaurant menu design through the TCCM framework Editorial Board The impact of the perception of smart hotel attributes and perceptions of service innovation on tourist happiness and brand loyalty When robot appearance and service style interact to influence customers’ willingness to pay: The mediating role of perceived restaurant quality
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1