{"title":"人工智能技术的发展轨迹：对管理者的启示","authors":"","doi":"10.1016/j.bushor.2024.03.002","DOIUrl":null,"url":null,"abstract":"<div><p>Generative artificial intelligence (GenAI) has long been considered a technology for the future. With the release of the chatbot ChatGPT 4, many now feel the future has arrived. Long in gestation, this new technology promises many benefits to humankind, but worries persist that as AI technology scales and comes to rival or exceed human intelligence, the servant may become the master. Amid such hyperbole, the more nuanced trajectories of this technology have been neglected. In this article, we use the Trajectories of Technology (ToT) framework developed by Berthon and colleagues to explore the disparate paths that AI has taken and will take in the coming years, especially in the form of chatbots. This framework provides managers with a conceptual tool to strategically plan for the enormous promises and perils of AI in general and of chatbots specifically.</p></div>","PeriodicalId":48347,"journal":{"name":"Business Horizons","volume":"67 5","pages":"Pages 461-470"},"PeriodicalIF":5.8000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0007681324000284/pdfft?md5=dcd25f37a891ea08b2e87a5c20d423e7&pid=1-s2.0-S0007681324000284-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Trajectories of AI technologies: Insights for managers\",\"authors\":\"\",\"doi\":\"10.1016/j.bushor.2024.03.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Generative artificial intelligence (GenAI) has long been considered a technology for the future. With the release of the chatbot ChatGPT 4, many now feel the future has arrived. Long in gestation, this new technology promises many benefits to humankind, but worries persist that as AI technology scales and comes to rival or exceed human intelligence, the servant may become the master. Amid such hyperbole, the more nuanced trajectories of this technology have been neglected. In this article, we use the Trajectories of Technology (ToT) framework developed by Berthon and colleagues to explore the disparate paths that AI has taken and will take in the coming years, especially in the form of chatbots. This framework provides managers with a conceptual tool to strategically plan for the enormous promises and perils of AI in general and of chatbots specifically.</p></div>\",\"PeriodicalId\":48347,\"journal\":{\"name\":\"Business Horizons\",\"volume\":\"67 5\",\"pages\":\"Pages 461-470\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2024-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0007681324000284/pdfft?md5=dcd25f37a891ea08b2e87a5c20d423e7&pid=1-s2.0-S0007681324000284-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Business Horizons\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0007681324000284\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business Horizons","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0007681324000284","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
Trajectories of AI technologies: Insights for managers
Generative artificial intelligence (GenAI) has long been considered a technology for the future. With the release of the chatbot ChatGPT 4, many now feel the future has arrived. Long in gestation, this new technology promises many benefits to humankind, but worries persist that as AI technology scales and comes to rival or exceed human intelligence, the servant may become the master. Amid such hyperbole, the more nuanced trajectories of this technology have been neglected. In this article, we use the Trajectories of Technology (ToT) framework developed by Berthon and colleagues to explore the disparate paths that AI has taken and will take in the coming years, especially in the form of chatbots. This framework provides managers with a conceptual tool to strategically plan for the enormous promises and perils of AI in general and of chatbots specifically.
期刊介绍：
Business Horizons, the bimonthly journal of the Kelley School of Business at Indiana University, is dedicated to publishing original articles that appeal to both business academics and practitioners. Our editorial focus is on covering a diverse array of topics within the broader field of business, with a particular emphasis on identifying critical business issues and proposing practical solutions. Our goal is to inspire readers to approach business practices from new and innovative perspectives. Business Horizons occupies a distinctive position among business publications by offering articles that strike a balance between academic rigor and practical relevance. As such, our articles are grounded in scholarly research yet presented in a clear and accessible format, making them relevant to a broad audience within the business community.
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