Publication Cover
Innovation
Organization & Management
Volume 17, 2015 - Issue 3
278
Views
2
CrossRef citations to date
0
Altmetric
Articles

Industry–science collaboration for radical innovation: the discovery of phase-dependent collaborative configurations

, &
Pages 308-322 | Received 29 Apr 2014, Accepted 10 May 2015, Published online: 15 Sep 2015
 

Abstract

The organization of industry–science collaboration in case of knowledge transfer for radical innovation is central to this study. Based on a contingency notion, the relation between research and development (R&D) projects’ properties and the way of collaboration is explored. By means of in-depth interviews with industrial managers 32 projects were studied. We found two configurations: consortium-deluxe and research services-plus. The invention’s time-to-market was identified as the discriminating factor. The first configuration represents a large-scale consortium in which a firm over time informally adjusts the activities of some academic partners towards the objectives of its own project. In the research services-plus configuration, firms are looking for specific knowledge to complete their own, highly confidential projects. Because of internal deadlines, delay is undesired and the level of control is high. On the contrary to ‘classic’ research services, mobility plays an important role in services-plus. These configurations will help to reach more effective knowledge transfer.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 603.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.