Knowledge Sharing Research of Auto Parts Industry’s Supply Chain Based on Evolutionary Game Theory

DOI

10.2991/emcs-15.2015.73How to use a DOI?

Keywords

Evolutionary game; Knowledge sharing; Sharing behavior; Replicated dynamic equation; Stable strategy

Abstract

This paper establishes an evolutionary game model of knowledge sharing in auto parts industry’s supply-chain by applying the replicated dynamic equation. In knowledge economy era, with the development of enterprise, the role of knowledge is becoming more and more important. As a result, enterprises gradually realized that knowledge has become an important resource of earnings. For the supply chain in enterprise, it has become a kind of widespread consensus that the whole supply chain competitiveness is more important than a single enterprise's competitiveness. The application of evolutionary game theory produces the stable strategy of enterprise’s knowledge sharing that the improvement of supply chain’s competitiveness requires the auto parts enterprises to form better knowledge sharing environment by strengthening its ability of absorption and transformation, reducing the cost of knowledge sharing, enhancing the synergy by cooperation and completing the mechanism of rewards and punishments.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yunfu Huo
AU  - Mosong Cheng
AU  - Bo Lu
AU  - Shuyun Pang
AU  - Xiaobo Gu
AU  - Xiaolin Song
PY  - 2015/01
DA  - 2015/01
TI  - Knowledge Sharing Research of Auto Parts Industry’s Supply Chain Based on Evolutionary Game Theory
BT  - Proceedings of the International Conference on Education, Management, Commerce and Society
PB  - Atlantis Press
SP  - 347
EP  - 350
SN  - 2352-5398
UR  - https://doi.org/10.2991/emcs-15.2015.73
DO  - 10.2991/emcs-15.2015.73
ID  - Huo2015/01
ER  -