文章基本信息

标题：Evolutionary stable strategies for business innovation and knowledge transfer
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作者：Ela Ozkan-Canbolat ; Aydin Beraha
期刊名称：International Journal of Innovation Studies
印刷版ISSN：2096-2487
出版年度：2019
卷号：3
期号：3
页码：1-16
DOI：10.1016/j.ijis.2019.11.002
出版社：Elsevier
摘要：Evolutionary game theory expands into a number of areas that go beyond the biological concept of evolution to include sociology, economics, and business management. Social networks determine definite interactions between individuals in social settings. The common nature of these two broad areas of research generates interest in applying the approaches of evolutionary game theory to social network-based problems. Knowledge transfer that occurs in the process of social interaction improves a company's innovation capability. This paper attempts to explore ways in which networks relate to knowledge transfer on the basis of evolutionary game theory. We offer a simple mathematical model to examine the interaction of knowledge transfer and actor behavior in games of coordination.
关键词：Evolutionary game theory ; Social networks ; Knowledge transfer ; Company innovation capability