ing jaroslav m d knowledge spillover 21 october 2010 n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Ing. Jaroslav Šmíd Knowledge Spillover 21. October 2010 PowerPoint Presentation
Download Presentation
Ing. Jaroslav Šmíd Knowledge Spillover 21. October 2010

Loading in 2 Seconds...

play fullscreen
1 / 21

Ing. Jaroslav Šmíd Knowledge Spillover 21. October 2010 - PowerPoint PPT Presentation


  • 82 Views
  • Uploaded on

Ing. Jaroslav Šmíd Knowledge Spillover 21. October 2010. 1967 – Small World Experiment USA 160 randomly selected people Result: average path length is 6. 2008 – NET Messenger Service 30 mld. conversations 240 million people Result: average path length is 6.6. Internet.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Ing. Jaroslav Šmíd Knowledge Spillover 21. October 2010' - aitana


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
ing jaroslav m d knowledge spillover 21 october 2010
Ing. Jaroslav Šmíd

Knowledge Spillover

21. October 2010

slide3

1967 – Small World Experiment

USA

160 randomly selected people

Result: average path length is 6

slide4

2008 – NET Messenger Service

30 mld. conversations

240 million people

Result: average path length is 6.6

slide5

Internet

Source: http://www.opte.org/

slide6

Co-authorsNetwork

Source: Ahmed E. Massen et al.

slide7

Examples

  • Neural Network
  • The Structure of Romantic Relations
  • Network of citations in scientific publications
  • Social Network on the Internet
  • Energy Networks
  • ...

7/21

slide8

Clusters

Knowledge

Knowledge Spillover

Conclusion

8/21

slide9

Clusters

  • Group of companies
  • Geografical proximity of companies
  • Activities in particular and related fields
  • Availability of specialized service providers and associated institution
  • Provide an environment conducive to innovation performance of the companies and regions

9/21

slide10

Cluster

Source: Czechinvest „Průvodce klastrem“

slide11

Financial Services Clustering

Source: Peter Taylor et al.

slide12

Knowledge

Knowledge is the result of active learning, a combination of thought and experience.

Knowledge is a set of such corresponding information, which give useful meaning.

Individual changes information to knowledge by understanding them.

12/21

slide13

Knowledge

  • Tacit Knowledge
  • Explicit Knowledge
  • Tacit knowledge is knowledge that indwells in a comprehensive cognizance of the human mind. Tacit knowledge needs to be articulated in order to be communicated (Polanyi, 1966).
  • Explicit knowledge is knowledge with a certain degree of codification that is transmitted using orderly formal language (Polanyi, 1966).

13/21

slide14

ClassifyingTacitKnowledge

  • Non-epistle
  • Socio – cultural
  • Semantic
  • Sagacious

14/21

slide15

Explicit Knowledge

Tacit Knowledge

Externaliztion

Non-epistle

Non-codified

Codified

Socio-cultural

Absorbed through Experience

Semantic

Internalization

Sagacious

TacitKnowledgeAccessibility

Zdroj: FALLAH,H.: Knowledge Spillover and Innovation in Technological Clusters.

slide16

Knowledge Spillover / Transfer

If knowledge (innovation) is spread outside the intended people or organisations, it is knowledge spillover or innovation spillover.

If knowledge (innovation) is exchanged intentionally, inside the intended boundary, it is knowledge transfer (innovation).

16/21

slide17

ThreeLevelsofKnowledgeSpillover

  • Individual Level
  • Enterprise Level
  • Global Level

17/21

slide18

Knowledge Spillover

  • Higher innovation performance of regions as well as their competitiveness is often explained by „Knowledge spillover"
  • Knowledge (Innovation) spillover occurs in the geographical concentration of the appropriate structure of enterprises, universities, research institutions and government.
  • Knowledge spillovercauses acceleration of the development and subsequent attracts new innovative companies.

18/21

slide19

KnowledgeSpillover

Further accelerating the society development occurs when a companies can capture tacit and explicit knowledge outside the boundaries of the cluster, region and country.

  • Representation of the company
  • Global Network
  • Attract skilled and sophisticated workforce
  • Bring together experts outside the region

19/21

slide20

This work was supported by the Slovak Research and Development Agency under the contract No. LPP -0384-09: „Concept HCS model 3E vs concept Corporate Social Responsibility (CSR)“.

thank you smid @sopk sk www komora name
Thank you

smid@sopk.sk

www.komora.name