• 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

科学学研究 ›› 2016, Vol. ›› Issue (8): 1272-1280.

• 技术创新与制度创新 • 上一篇    

集群创新的SCAI螺旋模型——基于大连软件园的案例研究

李浩1,黄剑2,2   

  1. 1. 东北财经大学工商管理学院
    2.
  • 收稿日期:2016-02-29 修回日期:2016-05-17 出版日期:2016-08-15 发布日期:2016-08-23
  • 通讯作者: 李浩
  • 基金资助:

    国家自然科学基金

The SCAI Spiral Model of Cluster Innovation——Case Studies Based on DALIAN Software Park

  • Received:2016-02-29 Revised:2016-05-17 Online:2016-08-15 Published:2016-08-23

摘要: 作为不同于独立创新和企业间主动合作创新的新集群创新模式,SCAI螺旋揭示了溢出知识经外部创造升华后,再由溢出企业通过主动知识获取活动将这部分外部创造的同源新知识转移回企业,无障碍吸收并整合运用的创新机理。采用单案例研究方法,选择了大连软件园作为研究对象,通过收集访谈数据、档案数据和文件资料,将所获得的二手资料与一手资料交叉验证,并运用扎根理论对研究数据进行编码分析。构建了SCAI螺旋模型并分析了模型的有效性维度及衡量标准,挖掘了集群共有知识的演化规律,并揭示了SCAI螺旋模型在实践中被集群企业的广泛运用。研究发展了集群创新理论和集群知识理论,尝试将知识创造理论从企业层面向集群层面拓展,从知识生产者角度,发展了集群知识溢出与集群绩效关系研究,并对集群创新形成了跨层次的认识。

Abstract: As a new cluster innovation mode which different from the independent innovation and cooperative innovation between enterprises, SCAI spiral model reveals an innovation mechanism, in which the spilled knowledge after external sublimation and then back to the spilled enterprise through active knowledge acquisition activity. This part of knowledge created outside have a high homology so it can absorb and integrate by spilled enterprise no barriers. By adopting the method of single case study, this article choose DALIAN Software Park as the research object, collect interview data, archives and documents to verify the validity of all data, and encode the data by grounded theory. This paper build the SCAI spiral model and analyze the effectiveness of dimension and measuring standard, find the rule of evolution of the cluster knowledge, and reveal that the SCAI spiral model is widely used by cluster enterprise in practice. This article develop the theory of cluster innovation and cluster knowledge theory, try to expand the knowledge creation theory from the enterprise level to the cluster level, develop the study on the relationship between the knowledge spillover and the cluster performance from the perspective of knowledge producers, and form the understanding of cluster innovation in different levels.