Industry Collaborations of Research Teams: Are They Penalized or Rewarded in the Grant Evaluation Process ? - Université de Lorraine Access content directly
Journal Articles Frontiers in Research Metrics and Analytics Year : 2021

Industry Collaborations of Research Teams: Are They Penalized or Rewarded in the Grant Evaluation Process ?

Abstract

This paper explores the relationship between the industry collaborations of grant applicant teams and the outcomes of a multistage grant evaluation process. We studied this relationship by focusing on two possible channels of impact of industry engagement—team diversity (or the diversity effect) and prior collaboration experience (or the experience effect)—and examined their influence on the evaluators' decision by using the proxies of direct industry engagement (i.e., the involvement of a company-affiliated researcher in the grant applicant team) and indirect industry engagement (i.e., joint publications with a company-affiliated researcher prior to the grant application), respectively. We analyzed data extracted from the application and reviewed materials of a multidisciplinary, pan-European research funding scheme—European Collaborative Research (EUROCORES)—for the period 2002–2010 and conducted an empirical investigation of its three consecutive grant evaluation stages at the team level. We found that teams presenting an indirect engagement were more likely to pass the first stage of selection, whereas no significant relationships were found at any of the three evaluation stages for teams presenting a direct engagement. Our findings point to the heterogeneity of the decision-making process within a multistage grant evaluation scheme and suggest that the policy objective of fostering university–industry collaboration does not significantly impact the funding process.
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hal-03571919 , version 1 (04-01-2023)

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Sila Öcalan-Özel, Patrick Llerena. Industry Collaborations of Research Teams: Are They Penalized or Rewarded in the Grant Evaluation Process ?. Frontiers in Research Metrics and Analytics, 2021, 6, 18 p. ⟨10.3389/frma.2021.707278⟩. ⟨hal-03571919⟩
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