Collaborative Research Project Networks: Knowledge Transfer at the Fuzzy Front End of Innovation

被引：16

作者：

Takahashi, Marissa ^{[1
]}

Indulska, Marta ^{[2
]}

Steen, John ^{[2
]}

机构：

[1] Queensland Univ Technol, Inst Future Environm, Digital Observ, Brisbane, Qld, Australia

[2] Univ Queensland, UQ Business Sch, Brisbane, Qld, Australia

来源：

PROJECT MANAGEMENT JOURNAL | 2018年 / 49卷 / 04期

基金：

澳大利亚研究理事会; 欧洲研究理事会; 美国国家科学基金会;

关键词：

collaborative research project network; knowledge transfer; social network analysis; fuzzy front end of innovation; MRQAP; meta-analysis; SOCIAL NETWORKS; WEAK TIES; ORGANIZATION; PERFORMANCE; CENTRALITY; STRENGTH; COHESION; CREATION; TRUST; SET;

D O I：

10.1177/8756972818781630

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Many businesses seeking enhanced innovation have corporate research teams that engage in collaborative research projects (CRPs), with external entities such as universities, public organizations, or customers. Anecdotal evidence, however, suggests mixed outcomes of CRPs in terms of corporate research impact, which implies successful transfer of novel knowledge generated within CRPs to company-internal business networks to develop radically innovative products. We use the multiple regression quadratic assignment procedure (MRQAP) and meta-analysis to analyze six CRP networks. Our findings indicate that the network's relational characteristics (tie strength) and structural characteristics (network range) are important determinants of knowledge transfer at the fuzzy front end of innovation.

引用

页码：36 / 52

页数：17

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