The multi-level process of trust and learning in university–industry innovation collaborations

Amalya L. Oliver*, Kathleen Montgomery, Shimrit Barda

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Successful university–industry collaborations require high levels of trust among participants, yet achieving this goal is complex. In this study, we provide a fine-grained qualitative analysis of thirty interviews from four collaborative, government-funded case studies over a 2-year period to analyze how trust can facilitate and/or impede project outcomes. We identified two levels of trust (individual and organizational), at multiple stages of the collaboration. Scientists’ reputation and shared values about information sharing helped build trust among individual scientists, while organizational-level trust centered on efficiency, including alignment with contract provisions and time commitment to the project. Our analysis shows that only one project had a positive outcome, demonstrating that the interaction of trust across levels and over time helps explain collaborative success or lack thereof. Such a holistic perspective can widen understanding of the outcomes of university–industry collaborative efforts.

Original languageAmerican English
Pages (from-to)758-779
Number of pages22
JournalJournal of Technology Transfer
Volume45
Issue number3
DOIs
StatePublished - 1 Jun 2020

Bibliographical note

Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

  • Characteristic-based trust
  • Collaboration
  • Individual and organizational level trust
  • Innovation
  • Process-based trust
  • Shared knowledge
  • University–Industry technology transfer

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