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Knowledge Sharing: An Evolutionary Game
Knowledge sharing in R&D teams is a dynamic process, and the strategic behaviors of sharing parties are interactive. The realization of sharing behavior and the achievement of collective goals require sharing parties to work together. While obtaining benefits, the involved parties also assume possible risks and related costs. This often leads to a knowledge sharing dilemma: sharing personal insights with coworkers may carry a cost for the sharing individuals which consequently leads to, at the aggregate level, a co-operation dilemma, similar to a public-good dilemma. As a result, knowledge sharing is by nature an evolutionary game scenario, a calculated, dynamic, give-and-take process. The evolutionary game theory is the emerging theory developed from the traditional game theory that combines game theory analysis with a dynamic evolution process in order to develop a more holistic understanding of a dynamic interaction process. Therefore, the evolutionary game theory provides an appropriate perspective to understand the dynamic knowledge-sharing process within R&D teams.
1. Knowledge Sharing in R&D teams
2. Knowledge Sharing as an Evolutionary Game
The entry is from 10.3390/su13126664
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