• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

›› 2012, Vol. 30 ›› Issue (8): 1272-1280.

• 技术创新与制度创新 • 上一篇    

知识密集型产业技术创新的适应性演化研究——基于kene视角的仿真探索

孙冰1,袭希2   

  1. 1. 哈尔滨工程大学经济管理学院
    2. 哈尔滨工程大学
  • 收稿日期:2012-01-31 修回日期:2012-05-02 出版日期:2012-08-15 发布日期:2012-08-17
  • 基金资助:
    国家自然科学基金(编号:70873026);国家自然科学基金(编号:71173059);教育部新世纪优秀人才支持计划(编号:NCET-10-0051)

A Study on Technology Innovation’s Adaptive Evolution in Knowledge-Intensive Industry: An Exploration with the Perspective of Kene

  • Received:2012-01-31 Revised:2012-05-02 Online:2012-08-15 Published:2012-08-17

摘要: 适应性是技术创新演化的根本动力。基于复杂适应系统的观点研究知识密集型产业技术创新呈现的新特征,是促进动态环境和变量下产业发展问题研究的新思路。将kene理论引入产业技术创新研究,以知识密集型产业为研究对象,提出知识密集型产业技术创新的适应性演化新观点。通过仿真模型对演化过程进行模拟,揭示了知识密集型产业技术创新的七个复杂适应特征。仿真结果表明,与非知识密集型产业相比,知识密集型产业技术创新的复杂适应特征更加明显,且系统整体在动态环境中复杂地进行演化。研究为复杂适应系统理论下的知识密集型产业技术创新和演化规律及其内在机理等方面分析进行了有益探索。

关键词: 复杂适应系统, kene, 适应性演化, 知识密集型产业, 技术

Abstract: Adaptation is the fundamental driving force in the evolution of technology. It is a brand new way of engaging the study on industry’s development in dynamic environment and variables to study the new technology’s evolutionary characteristics in knowledge-intensive industry with the Complex Adaptive System’s point of view. This article uses kene theory in industry’s technology dynamic research and makes knowledge-intensive industry as the subject of study, putting forward the new viewpoint of technology’s adaptive evolution in knowledge-intensive industry. By simulating the evolution processes with simulation model, it is revealed that knowledge-intensive industry’s technology and its evolution have seven complex adaptive characteristics. Simulation results also show that, comparing to non-knowledge-intensive industry, technology in knowledge-intensive industry has much more obvious complex adaptive characteristics, and the whole system evolves complexly in dynamic environment. Based on Complex Adaptive System theory, this study has some useful explorations into the evolution laws and its inner mechanisms of technology in knowledge-intensive industry.

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