{"title":"为人工智能注入温情?考察公众对应用人工智能的企业能力和企业社会责任实践的反应","authors":"Linwan Wu , Zifei Fay Chen , Weiting Tao","doi":"10.1016/j.pubrev.2024.102426","DOIUrl":null,"url":null,"abstract":"<div><p>Through one pilot test and two main studies using experimental design, this research examines publics’ responses to the application of artificial intelligence (AI) in corporate ability (CA) and corporate social responsibility (CSR) practices. Results from Study 1 (<em>N</em> = 113) revealed that the application of AI in CSR practices generated greater word-of-mouth intention and purchase intention than that in CA practices, and perceived warmth of the company mediated this effect. Results from Study 2 (<em>N</em> = 122) replicated the results from Study 1, and further revealed the boundary conditions created by publics’ varying levels of uneasiness with robots. The more positive outcomes generated by the application of AI in CSR (vs. CA) practices were more pronounced among those with high levels of uneasiness with robots, but such an effect was not significant among those with low levels of uneasiness with robots. Findings were discussed based on interdisciplinary theoretical insights from the CA-CSR typology, HAII-TIME model, and Stereotype Content Model. Implications for public relations scholarship and practices were discussed.</p></div>","PeriodicalId":48263,"journal":{"name":"Public Relations Review","volume":"50 1","pages":"Article 102426"},"PeriodicalIF":4.1000,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Instilling warmth in artificial intelligence? Examining publics’ responses to AI-applied corporate ability and corporate social responsibility practices\",\"authors\":\"Linwan Wu , Zifei Fay Chen , Weiting Tao\",\"doi\":\"10.1016/j.pubrev.2024.102426\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Through one pilot test and two main studies using experimental design, this research examines publics’ responses to the application of artificial intelligence (AI) in corporate ability (CA) and corporate social responsibility (CSR) practices. Results from Study 1 (<em>N</em> = 113) revealed that the application of AI in CSR practices generated greater word-of-mouth intention and purchase intention than that in CA practices, and perceived warmth of the company mediated this effect. Results from Study 2 (<em>N</em> = 122) replicated the results from Study 1, and further revealed the boundary conditions created by publics’ varying levels of uneasiness with robots. The more positive outcomes generated by the application of AI in CSR (vs. CA) practices were more pronounced among those with high levels of uneasiness with robots, but such an effect was not significant among those with low levels of uneasiness with robots. Findings were discussed based on interdisciplinary theoretical insights from the CA-CSR typology, HAII-TIME model, and Stereotype Content Model. Implications for public relations scholarship and practices were discussed.</p></div>\",\"PeriodicalId\":48263,\"journal\":{\"name\":\"Public Relations Review\",\"volume\":\"50 1\",\"pages\":\"Article 102426\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-02-06\",\"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/S0363811124000055\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Relations Review","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0363811124000055","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
Instilling warmth in artificial intelligence? Examining publics’ responses to AI-applied corporate ability and corporate social responsibility practices
Through one pilot test and two main studies using experimental design, this research examines publics’ responses to the application of artificial intelligence (AI) in corporate ability (CA) and corporate social responsibility (CSR) practices. Results from Study 1 (N = 113) revealed that the application of AI in CSR practices generated greater word-of-mouth intention and purchase intention than that in CA practices, and perceived warmth of the company mediated this effect. Results from Study 2 (N = 122) replicated the results from Study 1, and further revealed the boundary conditions created by publics’ varying levels of uneasiness with robots. The more positive outcomes generated by the application of AI in CSR (vs. CA) practices were more pronounced among those with high levels of uneasiness with robots, but such an effect was not significant among those with low levels of uneasiness with robots. Findings were discussed based on interdisciplinary theoretical insights from the CA-CSR typology, HAII-TIME model, and Stereotype Content Model. Implications for public relations scholarship and practices were discussed.
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.