产学研合作如何激发数字原生企业发展新质生产力——知识编排视角下的探索性单案例研究  

How Does Industry-University-Research Cooperation Drive the Development of New Quality Productive Forces in Digital-Native Enterprises:An Exploratory Single-Case Study from a Knowledge Orchestration Perspective

作　　者：尚路 李东红[1] 韩思齐 贾宁[1] SHANG Lu;LI Dong-hong;HAN Si-qi;JIA Ning(School of Economics and Management,Tsinghua University;School of International Trade and Economics,University of International Business and Economics)

机构地区：[1]清华大学经济管理学院 [2]对外经济贸易大学国际经济贸易学院

出　　处：《中国工业经济》2025年第1期174-192,共19页China Industrial Economics

基　　金：国家自然科学基金面上项目“复杂竞合关系下新兴创新生态系统协调机制研究”(批准号72472084);国家自然科学基金青年项目“链主企业引领的供应链金融‘链上’中小企业融资与稳链纾困研究”(批准号72402035);国家自然科学基金优秀青年科学基金项目“企业战略与财务决策”(批准号72022006)。

摘　　要：发展新质生产力是高质量发展的内在要求和关键举措,然而鲜有文献从微观视角探讨数字原生企业如何实现这一目标。本文以国内人工智能脑科学企业同心智医为研究对象,采用探索性单案例研究方法,深入挖掘知识编排视角下产学研合作激发数字原生企业发展新质生产力的微观机制。研究发现:(1)产学研合作推动数字原生企业发展生产力的过程主要经历产学研松散合作、三螺旋深度协同和多主体全面融合三个阶段。随着阶段演进,产学研合作的广度不断扩大,合作模式逐步深化,并通过劳动力、劳动资料和劳动对象的要素演进,逐步形成新质生产力。(2)数字原生企业发展新质生产力时,贯穿始终的关键资源是基于数据的知识,其发展新质生产力的过程本质上是发挥数字禀赋,进行知识搜寻、知识获取、知识加工和知识转化的知识编排过程。(3)“技术—知识—数据”融合是数字原生企业发展新质生产力的关键机制。数字原生企业以技术获取知识、知识转化数据、数据支撑技术的融合方式持续激发数据价值。理论上,本文拓展了产学研合作与知识编排理论,为数字原生企业发展新质生产力提供了理论支持。实践上,本文从企业、行业和宏观政策三个层面为产学研合作激活数据要素、发展新质生产力提供了策略建议。Developing new quality productive forces is the inherent requirement and key measure of current high-quality economic development,but there is little literature on how digital-native enterprises achieve this goal from a micro perspective.This paper takes an artificial intelligence and brain science enterprise in China,SOPHMIND,as the research object,adopts an exploratory singlecase study method,and deeply examines the micro-mechanism of industry-university-research(IUR)cooperation in stimulating the development of new quality productive forces in digital-native enterprises from the perspective of knowledge orchestration.The findings are as follows.First,the process by which IUR cooperation facilitates the development of new quality productive forces in digital-native enterprises unfolds across three distinct stages:loose IUR cooperation,deep three-helix collaboration,and comprehensive multi-agent integration.With the evolution of the stages,the IUR cooperation continues to expand,the mode of cooperation gradually deepens,and new quality productive forces are gradually formed through the evolution of the factors of labor force,labor materials,and labor objects.Second,data-based knowledge is the key resource for digital-native enterprises to develop new quality productive forces.The process of developing new quality productive forces is essentially the knowledge orchestration process of knowledge search,knowledge acquisition,knowledge processing,and knowledge transformation.Third,“technology-knowledge-data”integration is a key mechanism for digital-native enterprises to develop new quality productive forces.Digital-native enterprises stimulate the value of data through the integration of technology to acquire knowledge,knowledge to transform data,and data to support technology.The theoretical contributions are as follows.First,from the micro perspective,this study reveals the multi-stage paths of digital-native enterprises to build new quality productive forces through IUR cooperation and enriches the microscop

关 键 词：产学研合作 数字原生企业 知识编排 新质生产力 案例研究 

分 类 号：F272[经济管理—企业管理]