Not logged in.

Contribution Details

Type Working Paper
Scope Discipline-based scholarship
Title Innovation outcomes and partner-type selection in R&D Alliances: The role of simultaneous diversification and sequential adaptation
Organization Unit
Authors
  • Mathias Beck
  • Cindy Lopes Bento
Language
  • English
Institution University of Zurich
Series Name UZH Business Working Paper Series
Number 363
Date 2016
Abstract Text This study focuses on how firms form and sequentially adapt their inter organizational knowledge sourcing structures within research and development (R&D) alliances and how this process impacts their innovation performance. In contrast to the previous literature that mainly ignores the dynamic aspects of how firms adapt their search strategies, our approach accounts for sequential adaptation. Our proposed framework explores the role of simultaneous diversification and sequential adaptation of collaboration partners within R&D alliances according to specific innovation outcomes. The results emphasize that firms should not remain within the same search activities indefinitely, as non-adapting interorganizational knowledge transfer structures lead to inferior performance. Notably, this study highlights important partner-type selectivity and identifies appropriate simultaneous diversification and sequential adaptation strategies in relation to specific innovation outcomes and firm sizes.
Free access at DOI
Official URL https://ssrn.com/abstract=2823572
Digital Object Identifier 10.2139/ssrn.2823572
Other Identification Number merlin-id:14493
PDF File Download from ZORA
Export BibTeX
EP3 XML (ZORA)