{"title":"Can we build a relationship through artificial intelligence (AI)? Understanding the impact of AI on organization-public relationships","authors":"Jeyoung Oh , Eyun-Jung Ki","doi":"10.1016/j.pubrev.2024.102469","DOIUrl":null,"url":null,"abstract":"<div><p>The purpose of this study is to explore the role of agent type and voice tone on publics’ perceived organization-public relationships and behavioral intention towards an organization. Through a 2 (agent type: human vs. AI) x 2 (voice tone: conversational human vs. organizational) between-subjects experiment, the study shows that organizational messages communicated by a human agent generated significantly higher perceived control mutuality among participants in a Twitter setting than messages communicated by an AI agent. The use of conversational human voice resulted in significantly stronger relational outcomes. A significant interaction effect was found between agent type and voice tone on control mutuality. This study contributes to the public relations literature and practice by examining the potential role of AI agents in organization-public relationships and supportive behavioral intention towards an organization in the setting of Twitter.</p></div>","PeriodicalId":48263,"journal":{"name":"Public Relations Review","volume":"50 4","pages":"Article 102469"},"PeriodicalIF":4.1000,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Relations Review","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0363811124000481","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
The purpose of this study is to explore the role of agent type and voice tone on publics’ perceived organization-public relationships and behavioral intention towards an organization. Through a 2 (agent type: human vs. AI) x 2 (voice tone: conversational human vs. organizational) between-subjects experiment, the study shows that organizational messages communicated by a human agent generated significantly higher perceived control mutuality among participants in a Twitter setting than messages communicated by an AI agent. The use of conversational human voice resulted in significantly stronger relational outcomes. A significant interaction effect was found between agent type and voice tone on control mutuality. This study contributes to the public relations literature and practice by examining the potential role of AI agents in organization-public relationships and supportive behavioral intention towards an organization in the setting of Twitter.
期刊介绍：
The Public Relations Review is the oldest journal devoted to articles that examine public relations in depth, and commentaries by specialists in the field. Most of the articles are based on empirical research undertaken by professionals and academics in the field. In addition to research articles and commentaries, The Review publishes invited research in brief, and book reviews in the fields of public relations, mass communications, organizational communications, public opinion formations, social science research and evaluation, marketing, management and public policy formation.
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