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TCI 2016 Leveraging knowledge for firms and clusters


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By Shawn Cunningham, presented at the 19th TCI Global Conference, Eindhoven, 2016. S. Cunningham on LinkedIn:

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TCI 2016 Leveraging knowledge for firms and clusters

  1. 1. Titel presentatie [Naam, organisatienaam] Working Day - Track: Managing learning networks Leveraging knowledge for firms and clusters Shawn Cunningham Leveraging knowledge for firms and clusters
  2. 2. Leveraging knowledge for firms and clusters Dr. Shawn Cunningham
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  4. 4. 4 “Innovation” What does it mean in your cluster? What does your cluster do to leverage knowledge to enable innovation?
  5. 5. 5 There are differences between  Product & service innovation  Process innovation  Business model innovation
  6. 6. 6 Myth busting innovation  Most organisations innovate because: – They have to – Customers demand more and … – New technology – Competitors innovated – Serendipity  Most organisations innovate mainly incrementally driven by imitation – – not in the DNA of many  Often about learning & adjustment & recombination – Not ONLY about design
  7. 7. 7 Knowledge < information < data  Data is measured or observed numbers, words, etc  Information is data arranged in meaningful patterns  Knowledge is beliefs, commitment, perspectives and action of individuals, teams and organisations – It is how we make sense of information so that we can use it “Any fool can know. The point is to understand.” - Einstein
  8. 8. 8 Codified Knowledge  Codified or explicit knowledge – Captured in routines, stories, official documents, guidelines… – Copied, translated and adapted – Flows between organisations & societies – The dynamics in a cluster can be measured by how codified knowledge flows
  9. 9. 9 Tacit Knowledge  Tacit knowledge – Harder to explain or capture – Harder to detect, individuals might not even know they have it – Transmitted or shared based on trust – Combination of natural talent, past experience, prior codified knowledge shaped in the environment
  10. 10. 10 Knowledge creation by tinkering & experimentation
  11. 11. 11 Knowledge creation by deductive reasoning (thinking, reading, research) To Do 21/10/2016:  Read the manual  Think through simulation  Can we try this in a lab?
  12. 12. 12 Gaining knowledge through purposeful interaction with others
  13. 13. 13 Knowledge creation by tinkering & experimentation Which factors promote this form of knowledge creation in your unit? Which factors inhibit this form of knowledge creation in your unit?Tinkering and experimentation Deductive reasoning, research Collaborating, engaging with others
  14. 14. 14 Three conclusions about knowledge and innovation
  15. 15. 15 Conclusion: Knowledge Tacit knowledge creation starts at the level of individuals, and then gets taken up by the environment. Codified knowledge often exists in environment, and then works its way back to individuals
  16. 16. 16 Conclusion: Innovation Purposefully expanding, increasing, (re)combining knowledge is central to innovation. This is can be done by tinkering, deduction and collaborating with others that have different knowledge
  17. 17. 17 Conclusion: Environment Individuals and teams can turn knowledge into innovation when the environment enables it. Improving this environment is an ongoing process which in itself requires innovation!
  18. 18. 18 Thank you  For more information contact: Dr Shawn Cunningham +27 82 902 4200