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TCI 2016 Leveraging knowledge for firms and clusters

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Titel presentatie [Naam, organisatienaam] Working Day - Track: Managing learning networks Leveraging knowledge for firms and clusters Shawn Cunningham Leveraging knowledge for firms and clusters
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Page 1: TCI 2016 Leveraging knowledge  for firms and clusters

Titel presentatie[Naam, organisatienaam]

Working Day - Track: Managing learning networksLeveraging knowledge for firms and clusters

Shawn Cunningham

Leveraging knowledge for firms and clusters

Page 2: TCI 2016 Leveraging knowledge  for firms and clusters

Leveraging knowledge for firms and clusters

Dr. Shawn [email protected]

www.mesopartner.com

Page 3: TCI 2016 Leveraging knowledge  for firms and clusters

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Creative Commons License

You are free: to copy, distribute, display, and present this presentation to make derivative works to make commercial use of the workunder the following conditions: Attribution. You must attribute the work to Mesopartner. Share Alike. If you alter, transform, or build upon this work, you may

distribute the resulting work only under a license identical to this one. For any reuse or distribution, you must make clear to others the license

terms of this work. Any of these conditions can be waived if you get permission from

Mesopartner.Your fair use and other rights are in no way affected by the above.The complete legal code is available at

http://creativecommons.org/licenses/by-sa/2.5/legalcode

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“Innovation”What does it mean in your cluster?

What does your cluster do to leverage knowledge to enable innovation?

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There are differences between

Product & service innovationProcess innovationBusiness model innovation

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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

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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

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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

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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

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Knowledge creation by tinkering & experimentation

To do 21/10/2016: Find a better way to

get results Collect evidence Compare results

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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?

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Gaining knowledge through purposeful interaction with others

To Do 21/10/2016: Are we the first to ask this question? What do others call this? Who else could help us? Speak to Mr. Guru

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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

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Three conclusions about knowledge and innovation

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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

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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

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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!

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Thank you

For more information contact:

Dr Shawn [email protected] +27 82 902 4200

http://www.mesopartner.comhttp://www.cunningham.org.za


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