Issue |
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
|
|
---|---|---|
Article Number | 05038 | |
Number of page(s) | 7 | |
Section | Part 5: Management Engineering | |
DOI | https://doi.org/10.1051/matecconf/201710005038 | |
Published online | 08 March 2017 |
The Mechanism of Knowledge Associated Integration of Interdisciplinary Research Team Based on Absorption Ability
1 The School of Mechanical and Electric Engineering, Soochow University, P.R.China
2 The School of Mechanical and Electric Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology, P.R.China
3 School of Management, Harbin Institute of Technology, P.R.China
* Corresponding author: zhbw@suda.edu.cn
Interdisciplinary research team (IDRT) to solve complex, major multidisciplinary problem, is an important organization form. Members thought fusion and multidisciplinary knowledge integration is the key of implementing interdisciplinary team sustainable competitive advantage. According to the theory of knowledge absorptive capacity, this paper has analyzed knowledge associated integration mechanism of interdisciplinary team. First, the paper analyses the characteristics of absorbing ability cognitive mediation, subject link together mechanism, dimension conversion mechanism and reciprocal decision mechanism. Second, this paper builds an absorption evolution model of knowledge associated integration of interdisciplinary research team. Finally, it simulates and analyzes the evolution characteristics of interdisciplinary team knowledge network, and proposes management strategy.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.