Skip to main content

Modes-Based-Analysis of Knowledge Transfer in the Organizations

  • Conference paper
Knowledge Science, Engineering and Management (KSEM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7091))

  • 1503 Accesses

Abstract

There are series of modes between actors as they transfer knowledge with each other. Different modes will totally lead to quite different efficiency and results, which will further influence on organizational performances and innovations. This paper generalizes nine kinds of modes of knowledge transfer between actors, and then classifies the organization based on the modes, at last simulates the different modes of knowledge transfer on small world networks according to the setting rules. Through the simulation experiment we compute the average knowledge store and knowledge variance, the result shows that different modes of knowledge transfer will affect efficiency of knowledge transfer. When there are entirely two-way solid line mode in the organizations, knowledge transfer will be the fastest. Organizations of greater density are efficient, in which different modes have less influence to knowledge transfer. And while there are more one-way lines, the variance will be bigger.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Prusak, L.: Knowledge in Organizations. Butterworth-Heinemann, Boston (1997)

    Google Scholar 

  2. Cutler, R.S.: A comparison of Japanese and U.S. high-technology transfer practices. IEEE Transactions on Engineering Management, 17–24 (1989)

    Google Scholar 

  3. Albino, V., Garavelli, A.C., Schiuma, G.: Knowledge transfer and inter-firm relationships in industrial districts: the role of the leader firm. Technovation Journal 19(1), 53–63 (1998)

    Article  Google Scholar 

  4. Grant, R.: Toward a Knowledge-Based Theory of the Firm. Strategic Management Journal 17, 109–122 (1996)

    Article  Google Scholar 

  5. Hainaut, J.L., Hick, J.M., Henrard, J., Roland, D., Englebert, V.: Knowledge transfer in database reverse engineering: A supporting case study. In: Proceedings of the 1997 4th Working Conference on Reverse Engineering, pp. 194–203. IEEE Press, Amsterdam (1997)

    Google Scholar 

  6. Santoro, M.D., Bierly, P.E.: Facilitators of Knowledge Transfer in University-Industry Collaborations: A Knowledge-Based Perspective. Engineering Management 53(4), 495–507 (2006)

    Google Scholar 

  7. Lai, X.H., Wang, W.P.: Simulation of the spread knowledge inside knowledge-based organization based on cellular automata. Chinese Journal of Management 3, 514–518 (2006) (in Chinese)

    Google Scholar 

  8. Newman, M.E.J.: Spread of epidemic disease on networks. Phys. Rev. E 66(1), 016128, 1–11 (2002)

    Google Scholar 

  9. Emma, W., Catherine, C.: Heroin epidemics, treatment and ODE modeling. Mathematical Biosciences 208, 312–324 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  10. Cowan, R., Jonard, N.: Network structure and the diffusion of knowledge. Journal of Economic Dynamics & Control 28, 1557–1575 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  11. Lin, M., Li, N.: Scale-free network provides an optimal pattern for knowledge transfer. Physica A 389(3), 473–480 (2010)

    Article  Google Scholar 

  12. Reagans, R., McEcily, B.: Network structure and knowledge transfer: The effects of cohesion and range. Administrative Science Quarterly 48, 240–267 (2003)

    Article  Google Scholar 

  13. Kim, H., Park, Y.: Structural effects of R&D collaboration network on knowledge diffusion performance. Expert Systems with Applications 36, 8986–8992 (2009)

    Article  Google Scholar 

  14. Dang, X.H., Tang, X.J.: Study on the knowledge background difference among the staffs and the knowledge transfer within the organization. Science Research Management 28, 50–55 (2007) (in Chinese)

    Google Scholar 

  15. Morone, P., Taylor, R.: Knowledge diffusion dynamics and network properties of face-to-face interactions. Journal of Evolutionary Economics 14, 327–351 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rong, L., Qi, T., Wang, M., Zhang, R. (2011). Modes-Based-Analysis of Knowledge Transfer in the Organizations. In: Xiong, H., Lee, W.B. (eds) Knowledge Science, Engineering and Management. KSEM 2011. Lecture Notes in Computer Science(), vol 7091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25975-3_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25975-3_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25974-6

  • Online ISBN: 978-3-642-25975-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics