• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

›› 2013, Vol. ›› Issue (4): 567-577.

• 科技管理与知识管理 • 上一篇    下一篇

新产品开发中内外部整合对开发效率的影响机制

马文聪1,丁宝军朱桂龙3   

  • 收稿日期:2012-09-19 修回日期:2012-12-23 出版日期:2013-04-15 发布日期:2013-04-15
  • 通讯作者: 马文聪
  • 基金资助:
    国家自然科学基金重点项目;教育部哲学社会科学研究重大课题攻关项;国家自然科学基金面上项目

The Impact of Internal Integration and External Integration on Development Efficiency in New Product Development

  • Received:2012-09-19 Revised:2012-12-23 Online:2013-04-15 Published:2013-04-15

摘要: 以广东省158家企业为研究对象,探讨了企业在新产品开发过程中内外部整合间的关系及其对开发效率的影响机制,并且依据内外部整合对样本企业的整合模式进行分类,分析了不同整合模式与开发效率间的关系。结构方程模型分析表明,研发营销整合对开发效率没有显著的直接影响,但是通过研发客户整合和研发高校整合对开发效率有显著正向影响;研发制造整合对开发效率没有显著的直接影响,但是通过研发供应商整合对开发效率有显著正向影响。聚类分析和判别分析表明,可以将样本企业的整合模式分为低强度整合、中强度整合、重客户轻高校整合和高强度整合。方差分析表明,高强度整合模式的开发效率显著高于其它整合模式。

关键词: 新产品开发, 整合, 开发效率, 结构方程模型, 分类学, new product development, integration, development efficiency, structural equation modeling, taxonomy

Abstract: Abstract: This study investigated the relationship between internal integration and external integration, and their effects on new product development efficiency (NPD) in the process of NPD, using data collected from 158 companies in Guangdong province. Based on internal integration and external integration, it also classified the patterns of integration and examined the relationship between integration pattern and NPD efficiency. Structural equation modeling analysis results show that R&D/ marketing integration doesn’t have significantly direct impact on NDP efficiency, but it has significantly indirect impact on NDP efficiency through R&D/ customer integration and R&D/ academic integration. R&D/ manufacturing integration doesn’t have significantly direct impact on NDP efficiency, but it has significantly indirect impact on NDP efficiency through R&D/ supplier integration. Cluster analysis and discriminant analysis results show that four patterns of integration can be developed, including low uniform integration, medium uniform integration, unbalance integration, and high uniform integration. Analysis of variance shows that the NDP efficiency of high uniform integration is better than the others.