{"title":"Negative feedback from robots is received better than that from humans: The effect of feedback on human–robot trust and collaboration","authors":"Hongzhou Xuan, Guibing He","doi":"10.1016/j.jbusres.2025.115333","DOIUrl":null,"url":null,"abstract":"<div><div>Intelligent robots continue to transcend their traditional roles as mere tools, evolving to actively engage in collaborative teamwork. Feedback from teammates is a critical component of effective team dynamics. This research investigates how feedback source (robot vs. human teammate) affects behavioral trust and intention for future collaboration through a functional task (Study 1) and a social task (Study 2). It further examines the mediating role of feedback acceptance and the moderating effect of feedback valence (positive vs. negative). The findings reveal that negative feedback from a robot teammate, compare to that from a human teammate, leads to a higher feedback acceptance, which further fosters greater behavioral trust and intention for future collaboration toward the robot. However, the source of positive feedback, whether from a robot or a human teammate, causes no significant differences in recipients’ responses. This research delineates the potential advantages of future robot colleagues in delivering negative feedback.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"193 ","pages":"Article 115333"},"PeriodicalIF":10.5000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0148296325001560","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Intelligent robots continue to transcend their traditional roles as mere tools, evolving to actively engage in collaborative teamwork. Feedback from teammates is a critical component of effective team dynamics. This research investigates how feedback source (robot vs. human teammate) affects behavioral trust and intention for future collaboration through a functional task (Study 1) and a social task (Study 2). It further examines the mediating role of feedback acceptance and the moderating effect of feedback valence (positive vs. negative). The findings reveal that negative feedback from a robot teammate, compare to that from a human teammate, leads to a higher feedback acceptance, which further fosters greater behavioral trust and intention for future collaboration toward the robot. However, the source of positive feedback, whether from a robot or a human teammate, causes no significant differences in recipients’ responses. This research delineates the potential advantages of future robot colleagues in delivering negative feedback.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.