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A practical guide to knowledge creation, explaining how new insights emerge in organisations.
Knowledge Creation is the process through which new knowledge is generated within an organization or system through learning, interaction, experimentation, and experience. It is a core driver of innovation, adaptation, and continuous improvement.
Definition
Knowledge Creation is the deliberate or emergent process of developing new insights, ideas, or know-how that can be applied to improve decisions, products, or processes.
Knowledge Creation happens when individuals and teams combine experience, data, and reflection to produce new understanding. It may occur formally through research and development, training, and structured problem-solving, or informally through collaboration and day-to-day work.
A well-known framework for knowledge creation is the SECI model (Socialisation, Externalisation, Combination, Internalisation), which explains how tacit and explicit knowledge interact and evolve.
Organisations that support experimentation, psychological safety, and learning cultures tend to generate knowledge more effectively.
Knowledge Creation is not formula-based, but is often supported by:
A product development team prototypes new features, tests them with users, and refines designs based on feedback, creating new product knowledge.
In consulting, teams generate new frameworks and insights by reflecting on repeated client engagements.
Knowledge Creation enables organisations to adapt to change, differentiate offerings, and sustain competitive advantage. In fast-moving industries, the ability to continuously create knowledge is often more important than existing assets.
At a broader level, knowledge creation underpins innovation systems and economic growth.
It can be both intentional and emergent.
Technology supports creation, but humans create knowledge.
By supporting learning, experimentation, and collaboration.