摘要
以人工智能为例,结合技术生命周期理论、技术演化阶段特征以及政策导向,利用2006—2020年企业专利申请数据,将筛选出的124家A股上市公司划分为技术先驱型、技术响应型和技术追随型三类,并从五个维度对企业进入新技术领域不同时机的绩效影响进行实证分析,弥补了该领域前期相关研究采用单一指标造成结论不一致的问题。分析发现,样本企业主要集中分布于数字产业化领域,技术响应型特征更加明显,且规模较小、发展更快的企业更容易进入新技术领域。从综合绩效表现来看,技术先驱型企业表现最优,技术追随型次之,而技术响应型表现最弱,基本符合本文提出的研究猜想。基于此,从政府、企业、资本市场三个层面给出了实践启示及建议。
Taking artificial intelligence as an example,combined with the theory of technology life cycle,the characteristics of technology evolution stages and policy orientation,using data on corporate patent applications from 2006 to 2020 to classify the screened 124 A-share listed companies into three categories:technology pioneer type,technology response type and technology follow type.And the empirical analysis of the performance impact of different timing of enterprises entering the new technology field is conducted from five dimensions,which remedies the inconsistent findings caused by the use of a single indicator in the previous related studies in this field.The analysis shows that the sample enterprises are mainly concentrated in the field of digital industrialization,and the characteristics of responsive type are more obvious,and the enterprises with smaller scale and faster development are easier to enter the field of new technology.From the perspective of comprehensive performance,the performance of technology pioneer enterprises is the best,followed by technology follower enterprises,and the performance of technology response enterprises is the weakest,which basically conforms to the research conjecture proposed in this paper.Based on this conclusion,the paper gives practical enlightenment and suggestions from three aspects:government,enterprise and capital market.Finally,the paper analyzes the shortcomings of the research and looks forward to the future research.
作者
王东旭
白全民
张茹莹
马交国
WANG Dongxu;BAI Quanmin;ZHANG Ruying;MA Jiaoguo(Institute of Science and Technology for Development of Shandong,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250014,China;Jinan Urban and Rural Planning Research Center,Jinan 250099,China)
出处
《科学与管理》
2023年第2期10-17,共8页
Science and Management
基金
国家社科基金(20FZXB064)
山东省高等学校青创科技支持计划(2020RWG009)
山东省重点研发计划(软科学项目)(2021RZB01004)
济南市哲学社会科学课题(JNSK21B04)。
关键词
技术生命周期
进入时机
企业绩效
人工智能
technology life cycle
entry timing
corporate performance
artificial intelligence
