基于ISM的产业集群合作创新风险分析  

Risk Identification of Innovative Cooperation among Industrial Clusters Based on ISM

作　　者：李红艳[1] 

机构地区：[1]河南工程学院管理工程学院,河南郑州451191

出　　处：《河南工程学院学报（社会科学版）》2014年第1期5-8,71,共5页Journal of Henan University of Engineering(Social Science Edition)

基　　金：河南省政府决策招标研究课题(2012B169)

摘　　要：产业集群合作创新相对于单个企业技术创新来说,过程要复杂得多,失败的风险也大得多。运用解释结果模型(ISM),详细分析产业集群合作创新过程中面临的政策环境风险、市场风险、合作主体风险、项目风险和项目管理风险五个风险子系统,并识别出各类风险子系统下的具体风险因素17项,模型分析结果显示,合作主体、创新项目及项目管理的大多数因子是影响合作创新的最直接因素,最深层次、最基本的因素则是合作者的创新能力、国家货币政策、政策行政效率、竞争对手的实力等创新主体无法控制的因素,创新过程中应该按照影响因素的级别采用不同的防范对策。Compared with single enterprise technological innovation, the process of innovative cooperation a mong industrial clusters is much more complex. An Interpretative Structural Modeling（ISM） of risk factors is estab lished. The five risk subsystems in the process of innovative cooperation among industrial clusters are analyzed in detail ： policy environment risk, market risk, risk of cooperation body, project risk and project management risk. 17 specific risk factors under each subsystem are also identified. The results showed that most of cooperation body, the innovative projects and project management are the direct factors that affect innovative cooperation while the factors of innovative capacity of subjects, national monetary policy, policy administrative efficiency and the strength of competitors are the deepest and basic factors beyond the control of innovative subject. So different preventive meas ures should be taken in the innovation process in accordance with different level of the factors.

关 键 词：产业集群 合作创新 解释结构模型 风险因子 防范对策 

分 类 号：F263[经济管理—国民经济]