{"title":"Chatbots’ effectiveness in service recovery","authors":"Arpita Agnihotri , Saurabh Bhattacharya","doi":"10.1016/j.ijinfomgt.2023.102679","DOIUrl":null,"url":null,"abstract":"<div><p>Leveraging the computers are social actors theory, in this study, we explore traits of artificial intelligence-based chatbots that make them perceived as trustworthy, drive consumers to forgive the firm for service failure, and reduce their propensity to spread negative word-of-mouth against the firm. Across two scenario-based studies with UK consumers: one in a utilitarian product category (n = 586) and another in a hedonic product category (n = 508), and a qualitative study, our findings suggest that the perceived safety of chatbots enhances consumers' perceived ability and empathy, and anthropomorphism enhances the benevolence and integrity of chatbots, i.e., three traits of chatbots affect components of trustworthiness differently. Further, these traits have a positive influence on customer forgiveness and a negative influence on negative word-of-mouth.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"76 ","pages":"Article 102679"},"PeriodicalIF":20.1000,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401223000609/pdfft?md5=722e4a7ce84ce01164386113f01c5ff4&pid=1-s2.0-S0268401223000609-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0268401223000609","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}
引用次数: 0
Abstract
Leveraging the computers are social actors theory, in this study, we explore traits of artificial intelligence-based chatbots that make them perceived as trustworthy, drive consumers to forgive the firm for service failure, and reduce their propensity to spread negative word-of-mouth against the firm. Across two scenario-based studies with UK consumers: one in a utilitarian product category (n = 586) and another in a hedonic product category (n = 508), and a qualitative study, our findings suggest that the perceived safety of chatbots enhances consumers' perceived ability and empathy, and anthropomorphism enhances the benevolence and integrity of chatbots, i.e., three traits of chatbots affect components of trustworthiness differently. Further, these traits have a positive influence on customer forgiveness and a negative influence on negative word-of-mouth.
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.