The document discusses mapping knowledge flow in innovation networks. It introduces nodes as human or technological actors and ties as relationships between nodes. It then outlines different levels of complexity and granularity for boundaries, from business units and value networks to regional, national, and global innovation systems. The presentation focuses on determining the appropriate level of analysis for understanding knowledge flow, whether more complex systems with lower granularity or simpler systems with higher granularity.
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
Innovation Connectomics - Mapping Knowledge Flow in Innovation Networks
1. ‘Innovation Connectomics‘:
Mapping Knowledge Flow in Innovation Networks
Sebastian Sigloch
PhD Researcher, IIMP - Lord Ashcroft International Business School
@SebSigloch Frismakers Festival
Berlin, Germany. 10 – 11. September 2013
2. Introduction
Node (human or technological actor) Tie / Relationship (fiktive, temporary, uni – oder bidirectional)
Grenze (fiktive, BU, organisation –or system)Complexity and granularity of a boundary
swabian
BSc WI
BA Biz
MSc IBD
PhD, I&E
Research Associate
4. Business Unit & Value Network
FEI BEI
2
1
value chainupstream downstream
5. 1
Innovation Systems
FEI BEI
1 5
increasing complexity
decreasing granularity
!
value chainupstream downstream
Regional innovation system (RIS)
2
3
4
National innovation system (NIS)
5
Global innovation system (GIS)
x
x
x
x
x
x
policy
policy
policy
7. Thank you for your attention!
@SebSigloch
Sebastian Sigloch
PhD Researcher, IIMP - Lord Ashcroft International Business School
Betreuer:
Prof Emanuele Giovannetti, IIMP - Lord Ashcroft International Business School
Dr Shailaja Fennell, Centre for Development Studies, University of Cambridge
Frismakers Festival
Berlin, Germany. 10 – 11. September 2013