CAJ | 학술논문

在深入分析高新技术企业技术创新网络的构成要素及其相互关系的基础上，运用系统动力学方法，构建其技术创新网络能力与创新网络绩效的流量图，探索了创新网络能力对创新网络绩效的影响路径及其网络中其他变量对它们的敏感度，并通过Vensim DSS软件对其进行了仿真模拟。实证结果表明：（1）在复杂的技术创新系统中，单纯地加大研究经费的投入，创新网络绩效增加不明显；（2）创新网络绩效稳定地保持高值，此时企业与地方政府合作力度因子阈值为0.3，创新成果淘汰比例阈值为0.4，科研机构退出比例阈值为0.1；（3）当供应商合作力度因子取值较大时（取值0.9），整个创新网络的创新管理成本平均值在最低处小幅波动。
재심입분석고신기술기업기술창신망락적구성요소급기상호관계적기출상，운용계통동역학방법，구건기기술창신망락능력여창신망락적효적류량도，탐색료창신망락능력대창신망락적효적영향로경급기망락중기타변량대타문적민감도，병통과Vensim DSS연건대기진행료방진모의。실증결과표명：（1）재복잡적기술창신계통중，단순지가대연구경비적투입，창신망락적효증가불명현；（2）창신망락적효은정지보지고치，차시기업여지방정부합작력도인자역치위0.3，창신성과도태비례역치위0.4，과연궤구퇴출비례역치위0.1；（3）당공응상합작력도인자취치교대시（취치0.9），정개창신망락적창신관리성본평균치재최저처소폭파동。
Based on the deep analysis of high-tech enterprises' technology innovation network elements and the re-lations among them, a flow diagram about relationship of the technology innovation network capability and innova-tion network performance was built through system dynamics method. The model explored the effects path of the innovation network capability to innovation network performance and the sensitivity of other variables in the net-work to them and the system dynamical model was realized by software tool Vensim DSS. The empirical researches show that: Firstly, in the complex technology innovation system, innovation network performance's increase is not obvious through increasing investment in research funding simply; Secondly, when innovation network performance obtains steady high value, the values of enterprises and local government cooperation strength factor is 0.3, elimi-nating ration of innovation performance 0.4, out of proportion on scientific research institution 0.1; Thirdly, when suppliers strength factor is lager values, the whole innovation network's cost of innovation management remains small fluctuations in the lowest place.