人工智能资源对双元创新绩效的影响机制——基于2011—2022年中国A股上市公司数据的分析  

Influence Mechanism of Artificial Intelligence Resources on Ambidextrous Innovation Performance:Based on China's A-Share Listed Companies Data from 2011 to 2022

作　　者：沈剑飞[1] 王思遥 Shen Jianfei;Wang Siyao(North China Electric Power University,Beijing 102206,China)

机构地区：[1]华北电力大学经济与管理学院,北京102206

出　　处：《科技管理研究》2025年第2期17-31,共15页Science and Technology Management Research

基　　金：国家社会科学基金项目“促进能源工业绿色转型的经济政策体系研究”(2019BGL011)。

摘　　要：人工智能目前已经成为组织的技术重点,是大数据环境下组织需重视并科学运用的资源之一。然而关于组织如何构建及配置人工智能资源的研究有限。与以往大多数文献从能力视角分析人工智能不同,从资源视角进行划分,首次将人工智能分为资产性资源以及社会性资源;其次,探索了两类人工智能资源对双元创新绩效的差异性作用。选择2011—2022年中国A股上市公司样本进行理论分析和实证检验,研究结果表明:(1)资产性、社会性人工智能资源均会促进企业双元创新绩效提升,且对探索式创新绩效的提升作用更加明显;(2)资产性、社会性人工智能资源对于双元创新绩效的提升路径中,数字业务强度和组织学习均起到了中介作用,其中在资产性资源提升双元创新绩效的路径中,组织学习的中介作用更为突出;(3)经济政策不确定性增强了人工智能资源对探索式创新绩效的提升效果。研究结论为管理者提供启示:企业在人工智能资源配置策略上需要突出差异性,可从两类资源角度更高效地规划组织创新活动,并应当更加重视新技术运用、新市场开拓以及新产品开发等长期规划下的突破性创新活动。Artificial intelligence(AI)has now become a technological priority for organizations,and is one of the resources that organizations need to pay attention to and use scientifically in the big data environment.However,there is limited research on how organizations build and configure AI resources.Unlike most previous literatures that analyze AI from a capability perspective,this paper divides it from a resource perspective,and for the first time divides AI into asset-based resources as well as social resources.It explores the different effects of two kinds of AI resources on the performance of ambidextrous innovation,and the sample of Chinese A-share listed companies from 2011 to 2022 is selected for theoretical analysis and empirical test.The results show that:(1)Both asset-based and social AI resources can promote the improvement of enterprises'ambidextrous innovation performance,and the improvement of exploratory innovation performance is more obvious.(2)Both digital business intensity and organizational learning play mediating roles in the improvement path of AI resources and ambidextrous innovation performance,among which the organizational learning plays a more prominent mediating role in the improvement of ambidextrous innovation performance by asset-based resources.(3)Economic policy uncertainty enhanced the effect of AI resources on the performance of exploratory innovation.The above results provide new insights for managers that enterprises need to highlight differences in AI resource allocation strategies,plan organizational innovation activities more efficiently from the perspective of two types of resources,and should pay more attention to breakthrough innovation activities under long-term planning such as the application of new technologies,and the development of new markets and products.

关 键 词：人工智能资源 双元创新绩效 数字业务强度 组织学习 经济政策不确定性 

分 类 号：F204[经济管理—国民经济] F224[文化科学] G301