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Designing coopetition for radical innovation : an experimental study of managers' preferences for developing self-driving electric cars.

Czakon, Wojciech and Niemand, Thomas and Gast, Johanna and Kraus, Sascha and Frühstück, Lisa (2020) 'Designing coopetition for radical innovation : an experimental study of managers' preferences for developing self-driving electric cars.', Technological forecasting and social change., 155 . p. 119992.

Abstract

The major premise of this study is that managers purposefully shape the business context for radical innovation. Particularly, the strategic option of developing radical innovation in collaboration with direct competitors offers opportunities otherwise unattainable. We tap into its cognitive underpinnings by running an experimental study of coopetition design for radical innovation. We have collected 5760 binary decisions from a sample of 160 managers. Their indications are used to run a choice-based conjoint analysis in order to identify utilities attributed to coopetition-shaping decisions in a radical innovation project (using a scenario of self-driving/electric cars produced by VW, Daimler or Tesla). We use Hierarchical Bayes Multinomial Logit Regression to test a set of four hypotheses, each addressing a different coopetition factor to unveil manager's preferences in coopetition design for radical innovation. Our findings pinpoint a clear preference for network coopetition, using formal governance, and being based on intensive knowledge sharing. Contrary to prior literature, market uncertainty does not appear to significantly influence coopetition design for radical innovation.

Item Type:Article
Full text:Publisher-imposed embargo until 19 September 2021.
(AM) Accepted Manuscript
Available under License - Creative Commons Attribution Non-commercial No Derivatives.
File format - PDF
(1142Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1016/j.techfore.2020.119992
Publisher statement:© 2020 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Date accepted:03 March 2020
Date deposited:26 March 2020
Date of first online publication:19 March 2020
Date first made open access:19 September 2021

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