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Strengthening the evolutionary potential
of clusters: Shifting from responding to
anticipating what is next possible
Shawn...
Strengthening the evolutionary
potential of clusters: Shifting
from responding to anticipating
what is next possible
Dr. S...
www.mesopartner.com 3
Institutions can use uncertainty to
accelerate change & innovation in
clusters
Meso institutions and...
www.mesopartner.com 4
Two examples of using complexity
thinking in clusters
1. Non-consensus based decision making, for in...
www.mesopartner.com 5
Three key shifts in attention
 Strengthen resilience through actively promoting
different approache...
www.mesopartner.com 6
Non-consensus based decision
making: Using Product Space to find
potential opportunities
 Network m...
www.mesopartner.com 7
Product space: RSA 2013
 Variable RCA CID Product Space MIT Prod Space
www.mesopartner.com 8
Open forest: Feasible products
Machinery & transport
 Calculates how far it is to
alternative produ...
www.mesopartner.com 9
Sensemaker – useful for detecting
weak signals and emergent trends
 Sensemaker ™ developed by Cogni...
www.mesopartner.com 10
www.mesopartner.com 11
Benefits of a complexity perspective
for institutions scanning for new
emergent clusters
 Entrepre...
www.mesopartner.com 12
Turning well known innovation tools
into continous scanning tools
 Mesopartner developing narrativ...
www.mesopartner.com 13
Conclusion
Meso institutions and cluster managers must shift
from “responding to needs of industry”...
www.mesopartner.com 14
Thank you for your attention
Dr Shawn Cunningham
Mesopartner
sc@mesopartner.com
www.mesopartner.com...
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TCI 2015 Strengthening the evolutionary potential of clusters: Shifting from responding to anticipating what is next possible

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By Shawn Cunningham, presented at the 18th TCI Global Conference, Daegu, 2015.

Published in: Economy & Finance
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TCI 2015 Strengthening the evolutionary potential of clusters: Shifting from responding to anticipating what is next possible

  1. 1. Strengthening the evolutionary potential of clusters: Shifting from responding to anticipating what is next possible Shawn Cunningham Parallel Session 3.5: Tools and Methodologies for Effective Cluster Management and Cluster Performance Improvement
  2. 2. Strengthening the evolutionary potential of clusters: Shifting from responding to anticipating what is next possible Dr. Shawn Cunningham sc@mesopartner.com www.mesopartner.com
  3. 3. www.mesopartner.com 3 Institutions can use uncertainty to accelerate change & innovation in clusters Meso institutions and cluster managers must shift from “responding to needs of industry” to “anticipating what is possible from where we are” – strengthen evolutionary potential of the system from here Mesopartner is developing “search and discovery” a portfolio of instruments to enable combination, exploration and institutional adjustment based on complexity thinking and cognitive science
  4. 4. www.mesopartner.com 4 Two examples of using complexity thinking in clusters 1. Non-consensus based decision making, for instance using Product Space and the Observatory for Economic Complexity tools or other instruments to identify emergent clusters, priorities for collaboration, search and discovery 2. Use narrative capturing of decisions made in cluster to identify weak signals and emerging trends. Tracking of decentralized decisions and perceptions of agents in a complex adaptive system
  5. 5. www.mesopartner.com 5 Three key shifts in attention  Strengthen resilience through actively promoting different approaches and explorations into possibilities  Shift from projects (linear planning, hierarchical decision making) to exploration (dynamic collaboration, decentralized decision making), from milestones to emergence  Go to the roots, to the coal face. In complex adaptive systems, agents make decentralized decisions. These decisions are important signals about change
  6. 6. www.mesopartner.com 6 Non-consensus based decision making: Using Product Space to find potential opportunities  Network map shows the probability that a pair of products is co-exported using international trade data  MIT and Harvard use different interfaces to the same dataset  Many products group naturally into highly connected communities revealing how similar products are  Products in these dense communities probably depend on similar technological capabilities or market conditions  The Product Space & "open forest" really useful for focusing cluster support
  7. 7. www.mesopartner.com 7 Product space: RSA 2013  Variable RCA CID Product Space MIT Prod Space
  8. 8. www.mesopartner.com 8 Open forest: Feasible products Machinery & transport  Calculates how far it is to alternative products and how complex these products are  Log scale, meaning 1 point = 100% change  The ideal location on this plane is the upper-left quadrant: goods that are close and have high strategic value All Feasible Machines feasible
  9. 9. www.mesopartner.com 9 Sensemaker – useful for detecting weak signals and emergent trends  Sensemaker ™ developed by Cognitive Edge to capture narratives and to allow storytellers to self interpret stories to add meaning, thus experts to do interpret stories  Used in diverse applications, reveals decentralized decisions made by people  “Signifiers” used to allow self interpretation and give meaning to their own stories – removes bias of experts  Allows for continuous scanning over different organizations and within organizations  Management manages “in the now” and tries to increase the evolutionary potential of the system “more stories like these” and “fewer stories like those”
  10. 10. www.mesopartner.com 10
  11. 11. www.mesopartner.com 11 Benefits of a complexity perspective for institutions scanning for new emergent clusters  Entrepreneurs are like “sugar ants” that are good at finding viable sweet spots  The cost of figuring out what others know about technology, knowledge and markets are high (ants leave chemical tracks)  Ask: What can institutions do to enhance the ability of more enterprises to experiment with new knowledge, ideas, market opportunities, combinations?
  12. 12. www.mesopartner.com 12 Turning well known innovation tools into continous scanning tools  Mesopartner developing narrative detection and interpretation tools to use on the Sensemaker ™ platform for: – Innovation systems promotion, Technology and Innovation management, R & D management and organizational culture – Regional and local economic development – Supporting organizational development of development organizations  “Systemic Insight” framework allows organisations and clusters to explore innovation potential in a continuous process of search and discovery, learning and adjustment
  13. 13. www.mesopartner.com 13 Conclusion Meso institutions and cluster managers must shift from “responding to needs of industry” to “anticipating what is possible from here” – strengthen evolutionary potential of the system from where it is now Instruments from complexity thinking can help strengthen innovation and creativity in clusters
  14. 14. www.mesopartner.com 14 Thank you for your attention Dr Shawn Cunningham Mesopartner sc@mesopartner.com www.mesopartner.com & www.systemic-insight.com

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