首页|智能汽车芯片产业如何实现突破式创新?——基于资源协奏理论的分阶段多案例研究

智能汽车芯片产业如何实现突破式创新?——基于资源协奏理论的分阶段多案例研究

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当前中国智能汽车芯片产业存在对外依存度高、国产化率低、高端产能不足以及外部技术封锁等问题,发展面临创新困境.智能汽车芯片产业具有复杂的网络结构,需要依托跨知识、跨网络的研究,改变知识要素的联系、推动跨界网络嵌入以突破核心技术,进而实现"卡脖子"芯片的国产替代和规模量产的突破.但是,在产业的不同发展阶段,企业面临差异化的目标导向和资源约束,需要基于产业发展变化去动态配置知识要素特征和跨界网络嵌入两类创新要素,以实现各阶段的突破式创新.因此,依据"要素一行动一结果"的内在逻辑,资源协奏理论能够揭示智能汽车芯片产业突破式创新的机理和演进,有助于破解创新困境.本文采用多案例研究方法,对智能汽车芯片产业20个企业的深度访谈和编码分析发现:在导入期、成长期和成熟期不同阶段分别对应差异化的目标导向和资源约束,通过动态配置知识要素特征和跨界网络嵌入,衍生出"资源建构、资源捆绑、资源撬动"三层递进的创新机理,从而在各阶段更高效实现"研发、产品、价值"的突破式创新.理论上,从资源协奏和产业演进视角,丰富了智能汽车芯片产业突破式创新的机理和演进研究;实践上,为加速"卡脖子"芯片的国产替代,推动中国智能汽车芯片产业自主创新提供启示.
How Does the Intelligent Vehicle Chip Industry Achieve Breakthrough Innovation:A Phased Multi-case Study Based on the Resource Orchestration Theory
China's intelligent vehicle chip industry has high external dependence,low localization rate,and insufficient high-end production capacity,and faces technology blockade,so its development faces innovation difficulties.The intelligent vehicle chip industry has a complex network structure and needs to rely on multi-knowledge and cross-network research to change the connection of knowledge elements and promote cross-border network embedding to break through the core technologies to achieve domestic substitution of"bottleneck"chips and large-scale production.However,at different stages of industrial development,enterprises face different goal orientations and resource constraints,so they need to dynamically configure the characteristics of knowledge elements and embed innovation elements in cross-border networks based on the changes of industrial development to achieve breakthrough innovation at each stage.Therefore,according to the internal logic of"factor-action-output",the resource orchestration theory can reveal the mechanism and evolution of breakthrough innovation in the intelligent vehicle chip industry,and help to solve the innovation dilemma.This paper adopts the multi-case study method to conduct in-depth interviews and coding analyses of 20 enterprises in the intelligent automobile chip industry.It is found that from the introduction period,growth period to maturity period,the intelligent vehicle chip industry corresponds to differentiated target orientation and resource constraints,dynamically allocates characteristics of knowledge elements and cross-border network embedding,and derives a three progressive innovation mechanism of"resource construction,resource bundling,and resource leveraging",thus achieving breakthrough innovation of"R&D,product,and value"at each stage more efficiently.This paper contributes to existing literature in three aspects.First,based on the resource orchestration theory,it combines the characteristics of knowledge elements with cross-border network embedding to build an integrated research framework.Second,it focuses on exploring the coupling mechanism and cross-process coordination mechanism in the process of resource orchestration,and studies the dynamic configuration of knowledge element characteristics and cross-border network embedding in the whole process under the differentiated goal orientation and resource constraints at different stages of industrial development,then realizing the differentiated dynamic mechanism of breakthrough innovation from a dynamic perspective.Third,existing studies focus on theoretical analysis and questionnaire research and a few use a single case study,while this paper adopts a multi-case method.In theory,from the perspective of resource orchestration and industrial evolution,this paper enriches research on the mechanism and evolution of breakthrough innovation in the intelligent vehicle chip industry.In practice,it provides inspiration for accelerating the domestic substitution of"bottleneck"chips and promoting the independent innovation of China's intelligent vehicle chip industry.

knowledge element characteristicscross-border network embeddingresource orchestrationbreakthrough innovationchip industry

陈洁、韦俊龙

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上海交通大学安泰经济与管理学院

中国城市治理研究院

上海市知识竞争力与区域发展研究中心

知识要素特征 跨界网络嵌入 资源协奏 突破式创新 芯片产业

国家社会科学基金重点项目

22AGL007

2024

暨南学报(哲学社会科学版)
暨南大学

暨南学报(哲学社会科学版)

CSSCICHSSCD北大核心
影响因子:0.69
ISSN:1000-5072
年,卷(期):2024.46(8)