Explore Knowledge-Sharing Strategy and Evolutionary Mechanism for Integrated Project Team Based on Evolutionary Game Model

Abstract EN

Integrated Project Delivery (IPD) has become increasingly popular in the architecture, engineering, and construction industries.

However, the current practice status by the construction industry fails to deliver the desired results.

In that backdrop, how to promote cooperation within and improve the overall performance of integrated project team has received wide attention.

Herein, knowledge-sharing plays a critical role in cooperation and overall performance.

However, to the best of our knowledge, the research on knowledge-sharing strategy interaction and evolutionary mechanism is rare.

To make up for the deficiency of the studies existing, a novel model is proposed by taking advantage of evolutionary game theory, to capture the interaction behavior of knowledge-sharing and explore its evolutionary mechanism.

Six parameters of knowledge stock, knowledge-sharing degree, heterogeneous knowledge proportion, synergy effect, knowledge absorption coefficient, and knowledge-sharing cost efficient that are critical to knowledge-sharing are extracted and defined.

The payoff matrix is constructed by analyzing the benefits and costs of knowledge-sharing.

Then, a replicator dynamic system is established based on payoff matrix, to determine the evolutionary tendency of knowledge-sharing behavior.

Finally, numerical simulations are conducted to explore the influences of all parameters on the knowledge-sharing strategy.

The findings in this research reveal that strategy interaction behavior is significantly influenced by proportion of strategy of choosing to share knowledge in both game players.

The authors also find that strategy interaction behavior has a strong negative correlation with knowledge-sharing cost efficient, but has a positive correlation with knowledge stock, heterogeneous knowledge proportion, degree of knowledge-sharing, knowledge absorption coefficient, and synergetic effect coefficient.

This research can provide the evolutionary mechanism and broaden our understanding of relationship between project performance and knowledge-sharing and can offer valuable guidance on improving cooperation and performance of project teams.