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Knowledge Sharing in R&D Teams: An Evolutionary Game Model.

Authors :
Xiao, Jiuling
Bao, Yuting
Wang, Jiankang
Yu, Haiyun
Ma, Zhenzhong
Jing, Lei
Source :
Sustainability (2071-1050); Jun2021, Vol. 13 Issue 12, p6664, 1p
Publication Year :
2021

Abstract

Knowledge sharing plays an important role in promoting innovation and helping improve R&D team performance in the digital age. Based on the evolutionary game theory, this study develops an evolutionary game model of knowledge sharing in R&D teams in order to explore its system evolution path, the evolutionary stability strategy, and the influencing mechanism in knowledge sharing. Then using a simulation model, this study examines the dynamic evolution process of knowledge sharing within R&D teams. The results show that the effectiveness of knowledge sharing in the R&D teams can be promoted by R&D team members' cognitive ability, knowledge absorption ability, knowledge transformation ability, knowledge innovation ability, and the degree of knowledge complementarity within teams. The simulation results further show that reducing the environmental risk can also effectively improve R&D teams' innovation performance. The findings of this study thus provide evidence for knowledge sharing as an important route to sustainable development. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20711050
Volume :
13
Issue :
12
Database :
Complementary Index
Journal :
Sustainability (2071-1050)
Publication Type :
Academic Journal
Accession number :
151140864
Full Text :
https://doi.org/10.3390/su13126664