A Game Theory Based Analysis of the Tacit Knowledge Sharing and Incentive Mechanism

Gen Yi Niu

doi:10.4028/www.scientific.net/AMR.601.564

Paper Titles

The Comparative Analysis of International Competitiveness on China's Peanut Industry
p.537

The Case Study of an Extended Diffusion of Substitution for Successive Generations of a Product with Norton Model
p.542

Creation of Stock Analysis System Depend on the Prediction Research of Individual Stock Price Behavior by Moving Average Method
p.547

The Supply Chain Automorphism from the Perspective of Metadata Ontology: An Extended Supply-Chain Operations Reference-Model
p.554

A Game Theory Based Analysis of the Tacit Knowledge Sharing and Incentive Mechanism
p.564

An Interval Optimization Model of Multi-Criteria Parameters in the Process of Selecting Manufacturing Suppliers
p.570

Study on Management of Software Engineering Capability in Japan through Cross-Section Analysis and Panel Analysis
p.576

Bridging the Gap between Technology and Business within Corporate Governance of Enterprise: Focus Areas of Special Attention in the Technology Domain
p.584

Tactic of Supply Chain Coordination when the Freight Cost of Unit Product is Sensitive to Lot Size
p.593

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 601A Game Theory Based Analysis of the Tacit...

A Game Theory Based Analysis of the Tacit Knowledge Sharing and Incentive Mechanism

Abstract:

Tacit knowledge sharing is the basis and prerequisite of knowledge innovation. In this paper the incentive mechanism of tacit knowledge sharing is proposed to improve tacit knowledge sharing. Firstly, game theory is introduced, and then we analyze the knowledge sharing and mechanism. Finally, Static and repeated game models of knowledge sharing are constructed. The results indicate that infinite repeated game can solve “Prisoner's dilemma” of knowledge sharing in the one-time game.