制造企业人工智能准备的驱动因素组态研究

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中图分类号：F425；TP18 文献标识码：A 文章编号：1007-5097（2025）08-0118-11

Configuration of Driving Factors for Artificial Intelligence Readiness in Manufacturing Enterprises

LIN， ， ， （School of Economics and Management，Dalian University of Technology，Dalian116O24，China）

Abstract：Artificialintellgencereadinessiscrucialforenhancing thelikelihoodofsuccessfulapplicationofartificial intelligenceandunleashing itscommercial value.Thearticleis basedontheAMCtheoretical framework anduses the fuzzysetqualitative comparative analysis method to explore the multiple concurrnt factorsand causal complex mechanisms of artificial intellgence readiness inmanufacturing enterprisesofdiferentscales.Research reveals that a single factor such asperception，motivation，andabilitycannotconstituteanecessrycondition fordriving artificial intellgence readiness insmalland medium-sized orlarge-sized manufacturing enterprises.Thedriving mode for high artificial intellgence readiness in small and medium-sized manufacturing enterprisesis"demand driven andagile response"，whilelarge-sized manufacturing enterpriseshavetwo types ofdriving modes，namely"policy leverageand competition driven"and "knowledge transformationandlean breakthrough".Furtherresearch indicates thatthere isan asymmetriccausalrelationship betweenthe driving pathsof non-high artificial inteligence readinessand thoseof high artificial intelligence readiness in small，mediumand large-sized manufacturing enterprises.

KeyWords： manufacturing enterprises;enterprisescale;artificial intelligencereadiness;AMC framework;fuzzysetqualitative comparative analysis

一、引言

当前，人工智能（ArtificialIntelligence，下文简称AI）处于技术跃迁的重要窗口期，AI技术在多个行业领域的跨界融合应用，有助于不断塑造发展新动能、新优势，加快形成推进高质量发展的新质生产力。（剩余17743字）