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Secrecy in Open Innovation and Open Innovation in Secrecy

Authors: Jonathan Langlois; Sihem Ben Mahmoud-Jouini; Romaric Servajean-Hilst;

Secrecy in Open Innovation and Open Innovation in Secrecy

Abstract

Previous research have opposed secrecy and openness as mutually exclusive processes. In this paper, we suggest a more nuanced approach to secrecy in open innovation, drawing from Philosophy and Sociology. We have conducted a two-year research program in the defense industry, collecting data on the practices of concealment in open innovation activities. We found that focal actors utilize distinct cognitive techniques to decontextualize knowledge in the course of open innovation projects in order to safeguard secrecy while preserving mutual learning. Further, focal actors design contrasted relational approaches to secrecy with their open innovation partners. Such approaches are based on the positions of secrecy boundaries, which are internal or external to the relationship. In fact, actors intentionally make use of the reversible nature of secrecy, balancing inclusion and exclusion of knowledge in partnerships, to meet objectives that sometimes go beyond knowledge protection. Finally, we build on our findings to introduce a capability-based framework of secrecy management in openness processes. This framework, which we call Knowledge Discretion, suggests that actors overcome tensions stemming from secrecy and openness playing on the contextual depth and relational breadth of external knowledge sharing.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
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