系统管理学报

系统管理学报 ›› 2022, Vol. 31 ›› Issue (1): 104-111.DOI: 10.3969/j.issn.1005-2542.2022.01.009

• 企业管理 • 上一篇    下一篇

科研院所衍生企业转化动机对企业绩效的影响：市场扰动的调节作用

高玉峰1，杨洋2，王叶茵3，余杰3，王锋3，王睿3   

  1. 1. 华东师范大学 国际关系与地区发展研究院，上海 200062；2. 中国科学技术大学管理学院，合肥 230026；3.中国航天系统科学与工程研究院，北京 100037
  • 出版日期:2022-01-28 发布日期:2022-02-09
  • 作者简介:高玉峰（1982-），男，博士。研究方向为管理技术创新、系统工程理论及应用。

Impact of Spin-Offs Transformation Motivation of Research Institutes on Firm Performance: the Moderation of Market Disturbance

GAO Yufeng1, YANG Yang2, WANG Yeyin3, YU Jie3, WANG Feng3, WANG Rui3   

  1. 1. Institute of International Relations and Regional Development, East China Normal University, Shanghai 200062, China; 2. School of Management, University of Science and Technology of China, Hefei 230026, China; 3. China Aerospace Academy of Systems Science and Engineering, Beijing 100037, China
  • Online:2022-01-28 Published:2022-02-09

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摘要： 中美贸易战以来，国内科技企业的市场环境受到了较大的扰动。通过对中科院衍生企业进行调查得到的一手数据进行分析，研究发现，不同类型的转化动机中资金、学习和使命对企业绩效具有不同的影响，市场扰动对衍生企业的学习动机对企业绩效的影响具有负向调节作用。研究结果表明，政府和科研院所应鼓励衍生企业的各类转化动机，对以学习为动机创办的衍生企业可以给予适当的政策倾斜，以保障此类企业应对外部环境的市场扰动。

关键词: 衍生企业, 转化动机, 企业绩效, 市场扰动

Abstract: The market of domestic technology enterprises has been greatly disturbed since the trade war between China and the U.S. The analysis of the first-hand data from a survey of spin-off firms in the Chinese Academy of Sciences indicates that different types of transformation motivation, i.e., capital, learning, and mission have different impacts on firm performance, and market disturbance will attenuate the positive relationship between spin-off firms’ learning motivation and firm performance. These results show that the government and research institutes should encourage various transformation motivations of spin-off enterprises, and give appropriate policy preference to the spin-off enterprises founded with learning motivation, so as to ensure that such enterprises can cope with the market disturbance caused by the trade war.

Key words: spin-off enterprises, transformation motivation, firm performance, market disturbance

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