Research on the Selection of Knowledge Cooperative Partners in the Technology Alliance Based on Imperfect Information Dynamic Game Theory
- DOI
- 10.2991/icefs-17.2017.72How to use a DOI?
- Keywords
- Technology Alliance, Knowledge collaboration, Dynamic game, Imperfect information, partner selection
- Abstract
Exploration and research on technology alliance partner selection based on imperfect information dynamic game is the premise and guarantee to further promote the knowledge collaboration efficiency of Enterprise, University and Research Institute, to promote the sustainable development of technology alliance. This paper analyzes the connotation of knowledge cooperative partners in the technology alliance, discusses the partner selection of Technology Alliance Cooperative game process on the basis of imperfect information dynamic game theory, and studies the effective screening process for partner selection of knowledge cooperative partners in the technology alliance. This research shows that the performance improvement and cooperation and competition are the two major problems facing by collaborative innovation partner of technology alliance. Knowledge sharing, mutual compatibility, subjective ability and commitment are the key elements of partner selection, reasonable selection of partners can continue to improve innovation ability of collaborative technology alliance.
- Copyright
- © 2017, 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/).
Cite this article
TY - CONF AU - Chunhua Hu PY - 2017/01 DA - 2017/01 TI - Research on the Selection of Knowledge Cooperative Partners in the Technology Alliance Based on Imperfect Information Dynamic Game Theory BT - Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017) PB - Atlantis Press SP - 527 EP - 531 SN - 2352-5428 UR - https://doi.org/10.2991/icefs-17.2017.72 DO - 10.2991/icefs-17.2017.72 ID - Hu2017/01 ER -