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

Abstract

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.

How to alter path dependency and promote the use of EPC model in public projects of China?

“…If det(J) > 0 and tr(J) = 0, the point is defined as a central point. Additionally, if det(J) < 0, the point is defined as a saddle point [ 40 ]. As shown in Table 3 , the existence of evolutionary stable points (ESS) in the model requires comparing α, β, γ, δ.…”

Governing Collaborative Project Delivery as a Common-Pool Resource Scenario

“…There is an extraordinary amount of in-depth literature regarding collaborative project delivery models. In IPD scholarship alone there are numerous examples of comparative case studies (Ballard et al, 2015; Cheng et al, 2012, 2016; Cohen, 2010; Denerolle, 2013); management strategies (Fischer et al, 2017); impact on desirable project characteristics, such as trust, innovation, and supply chain collaboration (Hall et al, 2018; Lavikka et al, 2015; Pishdad-Bozorgi & Beliveau, 2016; Zhang et al, 2020); quantifications of IPD project outcomes compared to other types of project delivery methods (El Asmar et al, 2013, 2016; Franz et al, 2017; Mesa et al, 2016); and theorizations of ideal IPD profit pool distributions using cooperative game theory (Du et al, 2019; Teng et al, 2019). As Ostrom noted in her own scholarship on common-pool resource scenarios, such literature holds rich accounts and models developed by field researchers who have invested years of effort to obtain detailed information about the strategies adopted by appropriators (Ostrom, 2015).…”

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

“…Their results showed that mutual trust, property rights protection, and corporate culture integration can promote knowledge-sharing behaviors. In a similar study, Du et al [42] pointed out that the factors that affect team knowledge sharing include knowledge stock, knowledge ratio, knowledge absorption coefficient, synergy coefficient, and knowledge-sharing cost.…”