| 摘要: |
| 人工智能作为一种具有颠覆性的技术,正逐渐成为推动第四次科技革命的关键力量,其在企业中
的应用成为学术界和实践界关注的焦点。 尽管人工智能的潜力巨大,但企业为何应用、如何应用以及应用
带来何种影响尚未得到系统整合与总结。 鉴于此,以 Web of Science 核心数据库和中国知网数据库中搜集
到的 725 篇相关文献为样本,利用文献计量软件(CiteSpace)进行定量分析,梳理人工智能在企业管理领域
中研究的整体概况和演进脉络;运用内容分析法,整理剖析企业应用人工智能的主要研究内容,基于技术-
组织-环境(TOE)框架和动态能力框架,构建企业应用人工智能的输入-过程-输出(I-P-O)理论框架;在中
国情境视角下从驱动因素、过程机制、影响结果为本领域研究者提供一个较为完整系统的理论研究框架和
可供参考的未来研究方向,也为企业在实际应用人工智能时提供宝贵的工具性参考。 |
| 关键词: 人工智能 企业管理 输入-过程-输出理论框架 未来展望 |
| DOI： |
| 分类号: |
| 基金项目: |
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| Smart Future: A Review and Prospects on the Application ofArtificial Intelligence in Enterprises |
|
LI Jian
a,b
, CHEN Shujia
b
, ZHEN Yue
b
,YAO Nengzhi
a,b
|
| Abstract: |
| As a disruptive technology, artificial intelligence ( AI) is increasingly becoming a key force
driving the fourth technological revolution. Its application in enterprises has gained significant attention from
both academia and industry. Despite AI’s immense potential, the reasons why enterprises adopt AI, how they
implement it, and the impacts of its application have not been systematically integrated or comprehensively
summarized. Addressing this gap, this study collected a sample of 725 relevant articles from the Web of Science
Core Collection and the China National Knowledge Infrastructure ( CNKI) databases. Using the bibliometric
software CiteSpace, a quantitative analysis was conducted to outline the overall landscape and evolutionary
trajectory of AI research in the field of enterprise management. Through content analysis, the main research
themes on enterprise AI applications were organized and examined. Based on the Technology-OrganizationEnvironment ( TOE) framework and the dynamic capabilities framework, an Input-Process-Output ( I-P-O)
theoretical framework for enterprise AI applications was constructed. From the perspective of the Chinese context,
this study provides researchers in the field with a relatively comprehensive and systematic theoretical research
framework and actionable future research directions from the aspects of driving factors, process mechanisms, and
outcomes. It also offers valuable instrumental references for enterprises in the practical application of AI. |
| Key words: artificial intelligence enterprise management input-process-output theoretical framework future prospects |
