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

被引：22

作者：

Xiao, Jiuling ^{[1
]}

Bao, Yuting ^{[1
]}

Wang, Jiankang ^{[2
]}

Yu, Haiyun ^{[3
]}

Ma, Zhenzhong ^{[1
,4
]}

Jing, Lei ^{[5
]}

机构：

[1] Nanjing Audit Univ, Sch Business, Nanjing 211815, Peoples R China

[2] Nanjing Audit Univ, Sch Publ Adm, Nanjing 211815, Peoples R China

[3] Jiangnan Univ, Sch Business, Wuxi 214122, Jiangsu, Peoples R China

[4] Univ Windsor, Odette Sch Business, Windsor, ON N9B 3P4, Canada

[5] Jilin Univ, Sch Marxism Studies, Fac Social Sci, Changchun 130012, Peoples R China

来源：

SUSTAINABILITY | 2021年 / 13卷 / 12期

基金：

中国国家自然科学基金;

关键词：

evolutionary gaming theory; innovation performance; knowledge sharing; R&D team; simulation; PRODUCT PERFORMANCE; MANAGEMENT; MECHANISMS;

D O I：

10.3390/su13126664

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页数：18

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