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高新技术企业R & D联盟伙伴匹配性分形评价研究
引用本文:王玉冬,武川,徐玉莲.高新技术企业R & D联盟伙伴匹配性分形评价研究[J].科技进步与对策,2017,34(5):112-120.
作者姓名:王玉冬  武川  徐玉莲
作者单位:哈尔滨理工大学 经济学院,黑龙江 哈尔滨 150080
基金项目:国家自然科学基金项目(71173063);黑龙江省科技攻关重点项目(GB14D201);黑龙江省社会科学研究规划项目(13C024)
摘    要:为实现高新技术企业R&D联盟伙伴优化组合,提高R&D联盟运行效率,充分发挥R&D联盟的综合优势,针对高新技术企业R&D联盟的特点与目的,对R&D联盟伙伴匹配性进行了界定,分析筛选了影响R&D联盟伙伴匹配性的主要因素,构建了高新技术企业R&D联盟伙伴匹配性评价指标体系,设计了指标评分规则,提出了分形评价方法,并以华为R&D联盟伙伴选择作为实证分析对象,对其R&D联盟伙伴的匹配性进行了评价,结果表明华为选择的R&D联盟伙伴的匹配程度高,符合华为R&D联盟的实际情况。

关 键 词:高新技术企业  R&D联盟  伙伴匹配性  分形评价  
收稿时间:2016-10-24

Research on Matching Fractal Evaluation of High & New Technology Enterprises R&D Alliance Partners
Wang Yudong,Wu Chuan,Xu Yulian.Research on Matching Fractal Evaluation of High & New Technology Enterprises R&D Alliance Partners[J].Science & Technology Progress and Policy,2017,34(5):112-120.
Authors:Wang Yudong  Wu Chuan  Xu Yulian
Institution:School of Economics, Harbin University of Science and Technology, Harbin 150080, China
Abstract:In order to realize the optimal combination between R&D alliance partners of high-tech enterprises, improve the operational efficiency of R&D alliance, which can give full play to the R&D alliance's comprehensive advantages. This paper makes systematic analysis on the main factors that affecting partner matching ability of R&D alliance, according to the characteristics and purposes of R&D alliance for high-tech enterprises by defining the R&D alliance partners' matching. Then, the evaluation index system is constructed through designing indicators scoring rules and giving fractal evaluation method. Based on the R&D alliance partners of Huawei as the empirical analysis object, there are specific evaluations on their matching. The evaluation results show that Huawei's R&D alliance partners present a high degree of matching, and in line with the actual situation of Huawei R&D alliance. The research has provided a fresh method and decision-making reference on R&D alliance partners' selection, at the same time, the evaluation of high-tech enterprises.
Keywords:High & New Technology Enterprise  R&D Alliance  Partner Matching  Fractal Evaluation  
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