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Open innovation (OI) failures are considered a uniform class of undesirable outcomes. This article emphasises that two classes of failure exist: “bad”, triggered by preventable causes such as negligence, lack of skills or inadequate procedure, and “good”, stemming from hard-to-predict causes inherent in innovation endeavours. This article clarifies the differences between good and bad failures, describes their causes, and recommends countermoves to mitigate “bad” failures.

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This page is a summary of: Can you tell a good open innovation failure from a bad one?, Journal of Knowledge Management, August 2025, Emerald,
DOI: 10.1108/jkm-01-2025-0089.
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