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作 者:王影 张宏如[1] 苏涛永[2] Wang Ying;Zhang Hongru;Su Taoyong(Economic School of ChangZhou University,Changzhou 213161,China;Economic and Management School of TongJI University,Shanghai 200092,China)
机构地区:[1]常州大学经济学院,江苏常州213161 [2]同济大学经济与管理学院,上海200092
出 处:《科技进步与对策》2024年第3期133-141,共9页Science & Technology Progress and Policy
基 金:国家社会科学基金项目(21BGL053)。
摘 要:促进组织间知识流动对创新生态系统运行具有重要意义,但已有研究较少从知识治理视角展开分析。以智能制造创新生态系统为研究对象,通过收集核心企业实施知识治理的实践资料,运用扎根理论提炼出控制型、激励型、协调型和发展型4种知识治理机制,并发现不同治理机制在治理目标、治理过程、治理手段等方面存在明显差异,进而提出核心企业应灵活组合多种知识治理机制解决创新生态系统面临的知识基础风险,同时,知识治理机制并非一成不变,核心企业需要根据环境变化灵活调整等建议。上述发现不仅有助于丰富智能制造与知识治理的相关理论研究,而且从知识视角为核心企业提升智能制造创新生态系统运行效率提供了启示。For Chinese manufacturing industry,the open innovation ecosystem is proven to be an effective innovation mode.In face of intelligent manufacturing with intensive technology innovation,the overall operating efficiency of the innovation ecosystem is vital for Chinese manufacturing industry to rise to the leading position.According to knowledge-based theory,intelligent manufacturing involves complex knowledge activities,and the knowledge gap between different subject areas is easy to induce the misallocation of resources,mutual understanding difficulties,proprietary data leakage and other basic knowledge risks.Therefore,it is the key problem for the intelligent manufacturing innovation ecosystem if core enterprises can use effective knowledge governance mechanism to break through the"knowledge sharing dilemma"and integrate the power of different knowledge subjects to serve their own innovation needs of intelligent transformation.Most of the existing research has explored the knowledge governance of the innovation ecosystem led by core enterprises from the perspectives of decision authorization,relationship management,and organizational learning.However,the detailed structure of the governance mechanism has not received enough attention.In addition,the classification of formal and informal knowledge governance mechanisms is too general,and does not consider the diversified governance motivation and behavior combination of core enterprises with different situations in the innovation ecosystem.Therefore,according to the knowledge flow characteristics of intelligent manufacturing innovation ecosystem,it is necessary to systematically summarize and refine the types of knowledge governance mechanism based on practice.This research takes the intelligent manufacturing innovation ecological system as the analysis object and uses the grounded theory method to refine the knowledge governance mechanism.After open coding,axial coding and selection coding on the basis of collecting the core enterprise implement knowledge manageme
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