{"title":"The AI-authorship effect: Understanding authenticity, moral disgust, and consumer responses to AI-generated marketing communications","authors":"Colleen P. Kirk , Julian Givi","doi":"10.1016/j.jbusres.2024.114984","DOIUrl":null,"url":null,"abstract":"<div><div>Seven preregistered experiments demonstrate that when consumers believe emotional marketing communications are written by an AI (vs. a human), positive word of mouth and customer loyalty are reduced. Drawing from authenticity theory, we show that this “AI-authorship effect” is attenuated for factual (vs. emotional) messages (Study 2); when an AI only edits the communication (Study 3); when a communication is signed directly by an AI (Study 4); and when consumers believe that most marketing communications are written by AI (Study WA1). Importantly, when consumers believe a communication is reused (i.e., not originally written by the sender), the effect is reversed (Study 6). This “AI-authorship effect” is serially mediated by perceived authenticity (Studies 5 and 6) and moral disgust (Studies 1–6 and WA1). These findings are evidenced using both personalized and mass communications, different emotions, businesses and organizational employees, and both hypothetical and behavioral measures.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"186 ","pages":"Article 114984"},"PeriodicalIF":10.5000,"publicationDate":"2024-10-01","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/S0148296324004880","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
Seven preregistered experiments demonstrate that when consumers believe emotional marketing communications are written by an AI (vs. a human), positive word of mouth and customer loyalty are reduced. Drawing from authenticity theory, we show that this “AI-authorship effect” is attenuated for factual (vs. emotional) messages (Study 2); when an AI only edits the communication (Study 3); when a communication is signed directly by an AI (Study 4); and when consumers believe that most marketing communications are written by AI (Study WA1). Importantly, when consumers believe a communication is reused (i.e., not originally written by the sender), the effect is reversed (Study 6). This “AI-authorship effect” is serially mediated by perceived authenticity (Studies 5 and 6) and moral disgust (Studies 1–6 and WA1). These findings are evidenced using both personalized and mass communications, different emotions, businesses and organizational employees, and both hypothetical and behavioral measures.
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.