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Open data partnerships between firms and universities: The role of boundary organizations

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Title: Open data partnerships between firms and universities: The role of boundary organizations
Authors: Perkmann, M
Schildt, H
Item Type: Journal Article
Abstract: Science-intensive firms are experimenting with ‘open data’ initiatives, involving collaboration with academic scientists whereby all results are published with no restriction. Firms seeking to benefit from open data face two key challenges: revealing R&D problems may leak valuable information to competitors, and academic scientists may lack motivation to address problems posed by firms. We explore how firms overcome these challenges through an inductive study of the Structural Genomics Consortium. We find that the operation of the consortium as a boundary organization provided two core mechanisms to address the above challenges. First, through mediated revealing, the boundary organization allowed firms to disclose R&D problems while minimizing adverse competitive consequences. Second, by enabling multiple goals the boundary organization increased the attractiveness of industry-informed agendas for academic scientists. We work our results into a grounded model of boundary organizations as a vehicle for open data initiatives. Our study contributes to research on public-private research partnerships, knowledge revealing and boundary organizations.
Issue Date: Jun-2015
Date of Acceptance: 14-Dec-2014
URI: http://hdl.handle.net/10044/1/19450
DOI: 10.1016/j.respol.2014.12.006
ISSN: 0048-7333
Publisher: Elsevier
Start Page: 1133
End Page: 1143
Journal / Book Title: Research Policy
Volume: 44
Issue: 5
Copyright Statement: © 2014 The authors. This is an open access article under the creative commons license http://creativecommons.org/licenses/by/4.0/
Sponsor/Funder: Economic & Social Research Council (ESRC)
Funder's Grant Number: ES/G038082/1
Keywords: Social Sciences
Business & Economics
Open data
Industrial R&D
Selective revealing
Boundary organization
University-industry relations
Open innovation
Research partnership
Open data
Industrial R&D
Selective Revealing
Boundary Organization
University-industry relations
Open innovation
Science Studies
1402 Applied Economics
1503 Business and Management
1505 Marketing
Publication Status: Published
Online Publication Date: 2014-12-26
Appears in Collections:Imperial College Business School

This item is licensed under a Creative Commons License Creative Commons