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Decomposing profile-to-role configurations in R&D-Focused entrepreneurial teams

Scedrova, Anna, Morgan, Robert E. ORCID: https://orcid.org/0000-0001-8981-3144 and De Luca, Luigi M. ORCID: https://orcid.org/0000-0002-2492-3075 2023. Decomposing profile-to-role configurations in R&D-Focused entrepreneurial teams. European Management Journal 10.1016/j.emj.2023.04.009

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Abstract

We draw on social categorization theory to explain how entrepreneurial teams focused on research and development (R&D) are configured to deliver successful new venture performance. Research on entrepreneurial teams tends to aggregate individuals to the team level, which helps distill the effects of complementarities among social categories of team members. Specifically, we examine how scientists and managers apply their unique profiles (i.e., accumulated skills and expertise) to execute their respective roles within entrepreneurial teams engaged in commercial scientific discovery. In line with the entrepreneurial team literature, we distinguish between “focused” and “diversified” social categorizations of principal scientists and managers. As such, we differentiate between individuals’ deep knowledge of a discipline and a background in two professional areas with relative expertise in each, likened to the “jack-of-all-trades”. We analyze how team profile-to-role configurations might result in different new venture outcomes being R&D performance and commercial performance. To examine our models, we use multi-source, longitudinal, secondary data drawn from 153 government-funded research-intensive ventures associated with the National Cancer Institute in the United States (U.S.). Our results reveal differential effects for R&D performance and commercial performance. We find that teams aiming to enhance their R&D performance should seek diversified principal scientists, whereas teams seeking commercial gains should appoint diversified managers. By the same token, diversified team members may bypass their own shortcomings and complement their strengths by attracting team members with focused social categorizations.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Business (Including Economics)
Publisher: Elsevier
ISSN: 0263-2373
Funders: ESRC
Date of First Compliant Deposit: 9 May 2023
Date of Acceptance: 18 April 2023
Last Modified: 20 Dec 2023 14:09
URI: https://orca.cardiff.ac.uk/id/eprint/159050

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