{"title":"德尔菲小组对投资者关系中人工智能的调查","authors":"","doi":"10.1016/j.pubrev.2024.102489","DOIUrl":null,"url":null,"abstract":"<div><p>In recent years, there has been a discernible upswing in the attention dedicated to artificial intelligence (AI) within the domains of public relations, advertising, and marketing. Notably, the subdomain of investor relations has maintained a significant historical engagement with AI, actively employing AI and AI-enabled tools for several decades, a practice traceable back to the 1980s. This protracted involvement presents a reservoir of invaluable insights germane to comprehending the broader integration of AI within the purview of public relations. This scholarly inquiry embarks on a Delphi panel examination to scrutinize the deployment of AI in investor relations, proffers a systematic classification of AI-enabled tools within this realm, and prognosticates the trajectory of AI's influence on investor relations and financial communications. The panel of Delphi participants comprises seasoned authorities in the field, boasting a cumulative professional experience spanning 161 years. Leveraging the depth of expertise inherent in investor relations, the study not only illuminates the current landscape but also posits conceivable trajectories for the evolution of AI across other subfields within the domain of public relations.</p></div>","PeriodicalId":48263,"journal":{"name":"Public Relations Review","volume":null,"pages":null},"PeriodicalIF":4.1000,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Delphi Panel investigation of artificial intelligence in investor relations\",\"authors\":\"\",\"doi\":\"10.1016/j.pubrev.2024.102489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In recent years, there has been a discernible upswing in the attention dedicated to artificial intelligence (AI) within the domains of public relations, advertising, and marketing. Notably, the subdomain of investor relations has maintained a significant historical engagement with AI, actively employing AI and AI-enabled tools for several decades, a practice traceable back to the 1980s. This protracted involvement presents a reservoir of invaluable insights germane to comprehending the broader integration of AI within the purview of public relations. This scholarly inquiry embarks on a Delphi panel examination to scrutinize the deployment of AI in investor relations, proffers a systematic classification of AI-enabled tools within this realm, and prognosticates the trajectory of AI's influence on investor relations and financial communications. The panel of Delphi participants comprises seasoned authorities in the field, boasting a cumulative professional experience spanning 161 years. Leveraging the depth of expertise inherent in investor relations, the study not only illuminates the current landscape but also posits conceivable trajectories for the evolution of AI across other subfields within the domain of public relations.</p></div>\",\"PeriodicalId\":48263,\"journal\":{\"name\":\"Public Relations Review\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-07-27\",\"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/S0363811124000687\",\"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/S0363811124000687","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
The Delphi Panel investigation of artificial intelligence in investor relations
In recent years, there has been a discernible upswing in the attention dedicated to artificial intelligence (AI) within the domains of public relations, advertising, and marketing. Notably, the subdomain of investor relations has maintained a significant historical engagement with AI, actively employing AI and AI-enabled tools for several decades, a practice traceable back to the 1980s. This protracted involvement presents a reservoir of invaluable insights germane to comprehending the broader integration of AI within the purview of public relations. This scholarly inquiry embarks on a Delphi panel examination to scrutinize the deployment of AI in investor relations, proffers a systematic classification of AI-enabled tools within this realm, and prognosticates the trajectory of AI's influence on investor relations and financial communications. The panel of Delphi participants comprises seasoned authorities in the field, boasting a cumulative professional experience spanning 161 years. Leveraging the depth of expertise inherent in investor relations, the study not only illuminates the current landscape but also posits conceivable trajectories for the evolution of AI across other subfields within the domain of public relations.
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.