{"title":"Does artificial intelligence drive technology convergence? Evidence from Chinese manufacturing companies","authors":"Dechao Ma, Weiwei Wu","doi":"10.1016/j.techsoc.2024.102715","DOIUrl":null,"url":null,"abstract":"<div><p>With the rapid rise of artificial intelligence (AI), seemingly unrelated technological domains have become closely interconnected, creating favorable conditions for achieving deep convergence between technologies. This study, drawing on the resource-based view theory, investigates the relationship between AI applications and technology convergence, while analyzing the moderating role of digital orientation. We chose Chinese A-share listed manufacturing companies from 2015 to 2022 as our research sample to validate our hypotheses. Empirical results indicate that the application of AI has a positive impact on both novel and reinforced technology convergence. Furthermore, firms with a high level of digital orientation enhance the positive effects of AI applications on novel and reinforced technology convergence. The research findings contribute empirically to the field of AI and technology convergence, offering valuable insights for firms on how to leverage AI to drive technology convergence.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102715"},"PeriodicalIF":10.1000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X2400263X","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid rise of artificial intelligence (AI), seemingly unrelated technological domains have become closely interconnected, creating favorable conditions for achieving deep convergence between technologies. This study, drawing on the resource-based view theory, investigates the relationship between AI applications and technology convergence, while analyzing the moderating role of digital orientation. We chose Chinese A-share listed manufacturing companies from 2015 to 2022 as our research sample to validate our hypotheses. Empirical results indicate that the application of AI has a positive impact on both novel and reinforced technology convergence. Furthermore, firms with a high level of digital orientation enhance the positive effects of AI applications on novel and reinforced technology convergence. The research findings contribute empirically to the field of AI and technology convergence, offering valuable insights for firms on how to leverage AI to drive technology convergence.
期刊介绍：
Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
