摘要
随着工业4.0时代技术复杂性的不断提高,企业合作研发需求增大,资源匹配视角下的研发合作伙伴识别与选择受到关注。针对现有研究缺乏系统的评价模型,并且资源匹配情况主要依据专家主观判断的问题,设计出由互补性、相似性与完整性指标构成的SIC-Dimension三维综合评价模型。该模型不仅可以提高研发合作伙伴识别的有效性,还能通过资源定性匹配与定量匹配相结合,降低伙伴选择过程的复杂性和主观性。最后,以工业机器人相关技术为例,进行了评价模型实证分析,进一步验证了多指标综合评价的价值。
With the industry ＂4.0＂ era of increasing technical complexity ,the demand for enterprise R ＆ D cooperative is increased,R ＆ D partner identification and selection from the perspective of resource matching has been highly concerned .In view of the existing research lack of systematic evaluation model, and the resource matching situation is mainly based on expert subjective j udgment,,this paper designed a SIC--Dimension three--dimensional evaluation model composed of complementarity,similarity and integrity indicators, which not only can improve the effectiveness of R ＆ D cooperation partners dentification, but also reduces the complexity and subjectivity of the R ＆ D partner selection process by combining qualitative and quantitative matching analysis.Finally, the application of the evaluation model is illustrated by the technology of industrial robots.The empirical results further validate the value of the multi--index comprehensive evaluation model.
出处
《科技进步与对策》
CSSCI
北大核心
2017年第14期23-29,共7页
Science & Technology Progress and Policy
基金
国家社会科学基金重大项目(11&ZD140)
关键词
技术资源
研发合作
伙伴选择
匹配关系
Technical Resources
R＆D Cooperation
Partner Selection
Matching Relationship
