Knowledge Sharing and Protection in Collaborative Innovation

Summary

Collaborative innovation entails joint efforts by multiple organisations or individuals to create, refine and commercialise new ideas, products or services. Central to this process is the exchange of tacit and explicit knowledge, which can accelerate problem‐solving and foster breakthroughs. However, sharing knowledge incurs risks and costs, including potential leakage of proprietary information, diminished competitive advantage and conflicts over intellectual property. Balancing open collaboration with effective protection mechanisms requires strategic alignment of incentives, robust governance frameworks and technological safeguards. Recent advances in game theory, network analytics and secure information systems have elucidated how collaborative alliances can optimise knowledge transfer while mitigating the risks of unauthorised disclosure. Real‐world applications range from industrial research consortia to global data‐driven partnerships, demonstrating how tailored contractual arrangements, digital rights management and adaptive security protocols can sustain trust and resilience in innovation networks worldwide.

Research from Nature Portfolio

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Knowledge Sharing and Protection in Collaborative Innovation publication trend

The graph below shows the total number of articles in knowledge sharing and protection in collaborative innovation across all publications each year (not limited to Nature Index journals).

Technical terms

Shapley value: A solution concept in cooperative game theory that allocates collective gains among participants based on their marginal contributions to the joint outcome.

Knowledge leakage: The unintended or unauthorised loss of proprietary or sensitive information from one organisation to external parties during collaboration.

Security and sharing groups: A framework that assigns classification levels to organisational knowledge and dynamically manages access rights to balance information protection with collaborative sharing.

References

  1. Decision Boundary of Knowledge Sharing between Innovation Alliance Firms. Systems (2023).
  2. The concept of improving the security of IT systems supporting the storage of knowledge in organizations. Systems Science & Control Engineering (2022).
  3. Knowledge Leaks in Data-Driven Business Models? Exploring Different Types of Knowledge Risks and Protection Measures. Schmalenbach Journal of Business Research (2024).

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