Abstract: Industrial-scale trial production is an important link in up-scaling laboratory results and is accelerating the transformation of scientific and technological achievements. Actor network management provides the possibility for industrial-scale trial production to acquire key knowledge capabilities and break through resource dilemmas. However, whether enterprises can effectively absorb and digest heterogeneous knowledge capabilities in the network requires organizational learning to play a key role. The research reveals that the actor activation/deactivation strategy and goal-achieving strategy in actor network management significantly enhance the effectiveness of industrial-scale trial production, learning by doing in organizational learning has a stronger impact on the effectiveness of industrial-scale trial production than learning by using,and learning by doing and learning by using respectively play a partial mediating role between the actor activation/deactivation strategy and goal-achieving strategy and the effectiveness of industrial-scale trial production. The research reveals the mechanism of action of actor network management on the effectiveness of industrial-scale trial-manufacture, which helps to further clarify the process, system and structure of industrial-scale trial-manufacture management.

Key words: industrial-scale trial production, actor network management, organizational learning

摘要： 工业规模试制是放大实验室成果、加速科技成果转化的重要环节。行动者网络管理为工业规模试制获取关键知识能力、突破资源困境提供可能,然而企业能否有效吸收、消化网络中异质性知识能力,需要组织学习发挥作用。实证结果表明:行动者网络管理中的行动者激活/解除策略、目标实现策略显著提升工业规模试制有效性,组织学习中的干中学对工业规模试制有效性的影响强于用中学,且干中学、用中学分别在行动者激活/解除策略、目标实现策略与工业规模试制有效性间发挥部分中介作用。研究揭示了行动者网络管理对工业规模试制有效性的作用机理,有助于工业规模试制管理的过程、系统与结构进一步明朗化。

关键词: 工业规模试制, 行动者网络管理, 组织学习