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作 者:贾依帛 孙缇 胡芬[1] JIA Yi-bo;SUN Ti;HU Fen(School of Economics and Management,Dalian University of Technology,Dalian 116024,China)
出 处:《管理案例研究与评论》2024年第6期935-950,共16页Journal of Management Case Studies
基 金:辽宁省社会科学规划基金项目“数字化跨界情境下组织印记‘刚性-蛹变’机理研究”(23YJC630064)。
摘 要:在人工智能浪潮席卷全球的背景下,企业如何在创新过程中通过充分释放人工智能的巨大潜力来实现创新目标,已成为学界与业界共同关注的热点问题。然而,既有企业创新过程中人工智能应用的相关研究仍处于前期探索阶段,存在碎片化、知识脉络不清晰等问题,严重影响了人工智能在企业创新过程中的应用进程,以及学界与业界对其的认知。通过采用系统性文献综述,对1997—2023年的国内外相关文献进行系统归纳,在厘清既有研究现状的同时,构建了以“前因—应用过程—支撑因素—结果”为核心的企业创新过程中人工智能应用的理论框架,并重点明晰了人工智能核心功能在不同创新阶段中的具体体现。在此基础上,提出未来研究的主要方向和议题,旨在为人工智能赋能产业数智化发展提供支持。Under the background of the wave of artificial intelligence(AI)sweeping the world,how to unlock the full potential of AI in the innovation process to achieve corporate innovation goals has become a hot issue in both academia and the industry.However,research related to AI in the context of existing innovation is still in the early stages of exploration,with issues such as fragmentation and an unclear knowledge context.These problems seriously affected the knowledge and application of AI in the process of enterprise innovation in the theory and the industry.Through a systematic quantitative literature review,relevant domestic and international literatures from 1997 to 2023 has been summarized,and a theoretical framework of artificial intelligence in the context of innovation has been formulated with the core of“antecedents-application process-supporting factors-outcomes”.Specifically,the specific embodiment of the core functions of artificial intelligence in the various innovation segments is highlighted and clarified.On this basis,the main directions and issues of future research are put forward,aiming at providing support for the development of artificial intelligence industrial digital intellectualization.
关 键 词:人工智能 创新过程 系统性文献综述法 产业数智化
分 类 号:F49[经济管理—产业经济] TP18[自动化与计算机技术—控制理论与控制工程]
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