企业协同创新伙伴选择研究  

Research on Collaborative Innovation Partner Selection for Enterprises Based on Principal Component Projection and CRITIC Method

作　　者：朱雪春[1] 陈万明[1] 殷红幸 

机构地区：[1]南京航空航天大学经济与管理学院,江苏南京211106 [2]江铃汽车股份有限公司,江西南昌330001

出　　处：《中国科技论坛》2014年第11期97-102,共6页Forum on Science and Technology in China

基　　金：国家社科基金项目(12BGL064);江苏省高校哲学社会科学研究重大项目(2013ZDAXM002)

摘　　要：协同创新伙伴与企业创新能力提升密切相关。构建包含个体创新指标和协同创新指标的企业协同创新伙伴选择指标体系,个体创新指标包括企业敏捷程度、财务健康、技术能力、信誉状况与知识拥有和管理经验,协同创新指标包括企业目标一致、资源互补、团队协作良好、动机一致和知识相通,同时应用CRITIC法确定指标权重,运用主成分投影法选择协同创新伙伴,并通过一个汽车企业具体案例分析其在企业中的实际应用,验证了企业协同创新伙伴选择指标体系和选择方法的有效性。Collaborative innovation is closely related to the improvement of enterprises＇ innovation capability. The research constructs indicator system of selecting collaborative innovation partner which contains individual innovation and collaborative innovation indicators. Individual innovation indicators include agility, financial health, technical ability, reputation status and knowledge and management experience. Collaborative innovation indicators include goal correspondence, resource complementarily, teamwork well, motivation consistency and knowledge communication. Meanwhile, the study uses CRITIC method to determine the indicators＇ weights and principal component projection method to select collaborative innovation partner. Finally, through a case analysis of automobile enterprise, the paper verifies indicator system of selecting collaborative innovation partner and study method.

关 键 词：主成分投影法 CRITIC法 协同创新 伙伴选择 

分 类 号：F276.3[经济管理—企业管理]