{"title":"当聊天机器人服务失败时,聊天机器人的拟人化设计对客户转换意向的影响:期望视角","authors":"Zhenzhen Lu, Qingfei Min, Lintong Jiang, Qi Chen","doi":"10.1016/j.ijinfomgt.2024.102767","DOIUrl":null,"url":null,"abstract":"<div><p>An increasing number of enterprises are deploying chatbots to enhance service efficiency and reduce customer service costs. However, many customers prefer to switch to a human agent, especially when a chatbot service fails. From an expectation perspective, this study explores whether and how chatbots’ anthropomorphic design affects customers’ intention to switch from chatbots to human agents, as well as the mediating role of service recovery expectations in this relationship. Using a sequential mixed-methods approach, we initially conducted two quantitative studies, encompassing an online experiment (n = 404) and a survey (n = 338), to validate the causal relationships and the strength of the relationships between chatbot anthropomorphic design, customer service recovery expectations, and switching intention. Subsequently, in a qualitative study, we conducted semi-structured interviews (n = 10) to confirm and complement the quantitative study results. Collectively, the findings provide a nuanced understanding of the impact mechanism associated with chatbots’ anthropomorphic appearance and communication style concerning customer switching intentions, with implications for both researchers and practitioners.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"76 ","pages":"Article 102767"},"PeriodicalIF":20.1000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The effect of the anthropomorphic design of chatbots on customer switching intention when the chatbot service fails: An expectation perspective\",\"authors\":\"Zhenzhen Lu, Qingfei Min, Lintong Jiang, Qi Chen\",\"doi\":\"10.1016/j.ijinfomgt.2024.102767\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>An increasing number of enterprises are deploying chatbots to enhance service efficiency and reduce customer service costs. However, many customers prefer to switch to a human agent, especially when a chatbot service fails. From an expectation perspective, this study explores whether and how chatbots’ anthropomorphic design affects customers’ intention to switch from chatbots to human agents, as well as the mediating role of service recovery expectations in this relationship. Using a sequential mixed-methods approach, we initially conducted two quantitative studies, encompassing an online experiment (n = 404) and a survey (n = 338), to validate the causal relationships and the strength of the relationships between chatbot anthropomorphic design, customer service recovery expectations, and switching intention. Subsequently, in a qualitative study, we conducted semi-structured interviews (n = 10) to confirm and complement the quantitative study results. Collectively, the findings provide a nuanced understanding of the impact mechanism associated with chatbots’ anthropomorphic appearance and communication style concerning customer switching intentions, with implications for both researchers and practitioners.</p></div>\",\"PeriodicalId\":48422,\"journal\":{\"name\":\"International Journal of Information Management\",\"volume\":\"76 \",\"pages\":\"Article 102767\"},\"PeriodicalIF\":20.1000,\"publicationDate\":\"2024-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S026840122400015X\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S026840122400015X","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
The effect of the anthropomorphic design of chatbots on customer switching intention when the chatbot service fails: An expectation perspective
An increasing number of enterprises are deploying chatbots to enhance service efficiency and reduce customer service costs. However, many customers prefer to switch to a human agent, especially when a chatbot service fails. From an expectation perspective, this study explores whether and how chatbots’ anthropomorphic design affects customers’ intention to switch from chatbots to human agents, as well as the mediating role of service recovery expectations in this relationship. Using a sequential mixed-methods approach, we initially conducted two quantitative studies, encompassing an online experiment (n = 404) and a survey (n = 338), to validate the causal relationships and the strength of the relationships between chatbot anthropomorphic design, customer service recovery expectations, and switching intention. Subsequently, in a qualitative study, we conducted semi-structured interviews (n = 10) to confirm and complement the quantitative study results. Collectively, the findings provide a nuanced understanding of the impact mechanism associated with chatbots’ anthropomorphic appearance and communication style concerning customer switching intentions, with implications for both researchers and practitioners.
期刊介绍:
The International Journal of Information Management (IJIM) is a distinguished, international, and peer-reviewed journal dedicated to providing its readers with top-notch analysis and discussions within the evolving field of information management. Key features of the journal include:
Comprehensive Coverage:
IJIM keeps readers informed with major papers, reports, and reviews.
Topical Relevance:
The journal remains current and relevant through Viewpoint articles and regular features like Research Notes, Case Studies, and a Reviews section, ensuring readers are updated on contemporary issues.
Focus on Quality:
IJIM prioritizes high-quality papers that address contemporary issues in information management.