{"title":"揭示企业数字平台中生成式人工智能的采用:制度压力的影响以及内外环境的调节作用","authors":"Lin Zhang;Zhen Shao;Bin Chen;Jose Benitez","doi":"10.1109/TEM.2024.3513773","DOIUrl":null,"url":null,"abstract":"Despite the transformative potential of generative artificial intelligence (AI) systems within enterprise digital platforms, there still exist gaps in understanding the challenges and strategies associated with their adoption. Addressing this pressing issue, this article draws upon institutional theory to delve into the drivers influencing firms’ adoption of generative AI within their enterprise digital platforms. Leveraging survey data collected from 328 firms that have implemented digital platforms to support their business operations, we find that institutional pressures positively influence generative AI adoption within their enterprise digital platforms. Furthermore, we identify salient moderating effects of policy uncertainty and innovative culture in shaping the relationships. Our research findings make a substantial contribution to AI literature by illuminating the potential challenges and strategies toward generative AI adoption as well as reassessing the application of institutional theory within the digital landscape.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"335-348"},"PeriodicalIF":4.6000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unraveling Generative AI Adoption in Enterprise Digital Platforms: The Effect of Institutional Pressures and the Moderating Role of Internal and External Environments\",\"authors\":\"Lin Zhang;Zhen Shao;Bin Chen;Jose Benitez\",\"doi\":\"10.1109/TEM.2024.3513773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Despite the transformative potential of generative artificial intelligence (AI) systems within enterprise digital platforms, there still exist gaps in understanding the challenges and strategies associated with their adoption. Addressing this pressing issue, this article draws upon institutional theory to delve into the drivers influencing firms’ adoption of generative AI within their enterprise digital platforms. Leveraging survey data collected from 328 firms that have implemented digital platforms to support their business operations, we find that institutional pressures positively influence generative AI adoption within their enterprise digital platforms. Furthermore, we identify salient moderating effects of policy uncertainty and innovative culture in shaping the relationships. Our research findings make a substantial contribution to AI literature by illuminating the potential challenges and strategies toward generative AI adoption as well as reassessing the application of institutional theory within the digital landscape.\",\"PeriodicalId\":55009,\"journal\":{\"name\":\"IEEE Transactions on Engineering Management\",\"volume\":\"72 \",\"pages\":\"335-348\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Engineering Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10787098/\",\"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":"IEEE Transactions on Engineering Management","FirstCategoryId":"91","ListUrlMain":"https://ieeexplore.ieee.org/document/10787098/","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
Unraveling Generative AI Adoption in Enterprise Digital Platforms: The Effect of Institutional Pressures and the Moderating Role of Internal and External Environments
Despite the transformative potential of generative artificial intelligence (AI) systems within enterprise digital platforms, there still exist gaps in understanding the challenges and strategies associated with their adoption. Addressing this pressing issue, this article draws upon institutional theory to delve into the drivers influencing firms’ adoption of generative AI within their enterprise digital platforms. Leveraging survey data collected from 328 firms that have implemented digital platforms to support their business operations, we find that institutional pressures positively influence generative AI adoption within their enterprise digital platforms. Furthermore, we identify salient moderating effects of policy uncertainty and innovative culture in shaping the relationships. Our research findings make a substantial contribution to AI literature by illuminating the potential challenges and strategies toward generative AI adoption as well as reassessing the application of institutional theory within the digital landscape.
期刊介绍:
Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.