科学与管理2025，Vol.45Issue(1)：34-39,6.DOI:10.3969/j.issn.1003-8256.2025.01.005
人工智能企业创新绩效影响因素识别与关键路径提升分析
Identification of Factors Influencing Innovation Performance of Artificial Intelligence Enterprises and Analysis of Key Path Improvement
摘要
Abstract
The artificial intelligence industry,serving as the main body for the development of AI technology,carries a crucial mission for the growth of artificial intelligence.Focusing on AI enterprises,the article addresses issues such as insufficient R&D investment and low innovation performance.It first employs a literature-based approach to construct a library of factors influencing innovation performance in AI enterprises.Secondly,it utilizes fsQCA to identify key paths for enhancing innovation performance.The study reveals:(1)Various factors have varying degrees of impact on AI enterprise innovation performance,with"R&D investment"having the highest weight in constructing high-level innovation performance.(2)There are interlocking effects among key factors;conditions like"enterprise size-R&D investment-driven"and"R&D investment-government subsidy-driven"can enhance AI enterprise innovation performance.These pathways can achieve high innovation performance levels through mutual substitution,each applicable to AI enterprises in different development situations.关键词
人工智能企业/创新绩效/影响因素识别/提升路径Key words
artificial intelligence enterprises/innovation performance/identification of influencing factors/upgrade path分类
管理科学引用本文复制引用
陈会英,刘彤辉,王家坤..人工智能企业创新绩效影响因素识别与关键路径提升分析[J].科学与管理,2025,45(1):34-39,6.基金项目
教育部人文社会科学研究规划基金(23YJA790005) （23YJA790005）
