{"title":"Impact of Generative AI on Enterprise Performance in China","authors":"Jing Ye, Shuyang Wang, Sang-Bing Tsai","doi":"10.4018/jgim.347501","DOIUrl":null,"url":null,"abstract":"This study examines the impact of generative artificial intelligence (GAI) on Chinese enterprises. 320 participants completed electronic surveys, revealing a positive relationship between GAI and corporate performance. Managerial relationships were found to play a crucial role, mediating the influence of GAI on performance. Additionally, the speed of technological change in the industry was identified as a moderator, highlighting the dynamic nature of GAI's impact on managerial relationships and firm performance. These findings underscore the strategic importance of GAI in cultivating managerial relationships and improving enterprise performance, deepening our understanding of the integration of advanced AI technologies and management practices in the Chinese market. Practical implications are offered for decision-makers in technology-intensive industries, providing valuable insights for leveraging GAI to gain a competitive edge and achieve sustainable growth in a rapidly evolving technological landscape.","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":" 5","pages":""},"PeriodicalIF":5.5000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.4018/jgim.347501","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines the impact of generative artificial intelligence (GAI) on Chinese enterprises. 320 participants completed electronic surveys, revealing a positive relationship between GAI and corporate performance. Managerial relationships were found to play a crucial role, mediating the influence of GAI on performance. Additionally, the speed of technological change in the industry was identified as a moderator, highlighting the dynamic nature of GAI's impact on managerial relationships and firm performance. These findings underscore the strategic importance of GAI in cultivating managerial relationships and improving enterprise performance, deepening our understanding of the integration of advanced AI technologies and management practices in the Chinese market. Practical implications are offered for decision-makers in technology-intensive industries, providing valuable insights for leveraging GAI to gain a competitive edge and achieve sustainable growth in a rapidly evolving technological landscape.
本研究探讨了生成式人工智能（GAI）对中国企业的影响。320 名参与者完成了电子调查，结果显示 GAI 与企业绩效之间存在正相关关系。研究发现，管理者关系在 GAI 对绩效的影响中起着至关重要的中介作用。此外，行业技术变革的速度也被认为是一个调节因素，突出了 GAI 对管理关系和企业绩效影响的动态性质。这些发现强调了 GAI 在培养管理关系和提高企业绩效方面的战略重要性，加深了我们对先进人工智能技术与中国市场管理实践相结合的理解。研究为技术密集型行业的决策者提供了实际启示，为他们在快速发展的技术环境中利用 GAI 获得竞争优势和实现可持续增长提供了宝贵的见解。
期刊介绍：
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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