Research on Knowledge Transfer among Food Supply Chain Members

Article Preview

Abstract:

A knowledge transfer process model among food supply chain members is proposed. The knowledge transfer performance is discussed with the methods of theoretical and quantitative analysis. The results show that the knowledge transfer among food supply chain members can be divided into three levels. An undirected weighted small-world network model can be used to evaluate the knowledge transfer performance among food supply chain members.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 183-185)

Pages:

1258-1262

Citation:

Online since:

January 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J. H. Dyer & N. W. Hatch, Using Supplier Networks to Learn Faster, Sloan Management Review, pp.57-63, (2004).

Google Scholar

[2] S. Bandyopadhyay & P. Pathak, Knowledge sharing and cooperation in outsourcing projects-A game theoretic analysis decision support systems, No. 43, pp.349-358, (2006).

DOI: 10.1016/j.dss.2006.10.006

Google Scholar

[3] S. Samaddar & S. S. Kadiyala, An analysis of interorganizational resource sharing decisions in collaborative knowledge creation, European Journal of Operational Research, No. 170, pp.192-210, (2007).

DOI: 10.1016/j.ejor.2004.06.024

Google Scholar

[4] K. Li & C. Peng, Study on knowledge-sharing on supply chain: based on the weighted small world network model, Technological Economy and Management Research, No. 1, pp.38-40, (2009).

Google Scholar

[5] K. C. Desouza & C. Kraetg, food supply chainperspectives to knowledge management: research propositions, Journal of Knowledge Management, Vol. 7, No. 3, pp.129-138, (2003).

Google Scholar

[6] X. F. An , X. M . Zhang & H. T . Zhang, Research on knowledge-flow model and influencing factors of supply chain, Science and Technology Management Research, No. 1, pp.191-193, 2009.

Google Scholar

[7] D . J . Watts, Small worlds, New Jersey: Princeton University Press, (1999).

Google Scholar

[8] V. Latora & M. Marchiori, Economic small-world behavior in weighted network, Europe Physical Journal, No. B32, pp.249-263, (2003).

Google Scholar