Lv Jiaqi, Wang Xiang, Chen Yaoyao
College of Statistics and Data Science, Lanzhou University of Finance and Economics, Lanzhou, Gansu, P. R. China.
School of Management Engineering, Qingdao University of Technology, Qingdao, Shandong, P. R. China.
PLoS One. 2025 Jan 6;20(1):e0316992. doi: 10.1371/journal.pone.0316992. eCollection 2025.
Opportunistic behaviour has become a research hotspot in hydraulic infrastructure project management owing to its serious damage to the cooperation efficiency of all participants in a project. The trust networks formed by each participant can restrain opportunistic behaviour, but due to the dynamic evolution of the networks, its research should adopt a dynamic paradigm. The structure and evolution of trust networks can be simulated using computer simulations and modelling. This study explores the influence mechanism of the structural characteristics of trust networks on the diffusion of opportunistic behaviour. The results show that trust network density has a positive effect on inhibiting the implementation tendency of opportunistic behaviour. However, the centralisation of trust networks has a negative correlation with the degree of inhibition of opportunistic behaviour.
机会主义行为因其对水利基础设施项目中所有参与者合作效率的严重损害，已成为该领域项目管理的研究热点。各参与者形成的信任网络能够抑制机会主义行为，但由于网络的动态演化，对其研究应采用动态范式。信任网络的结构与演化可以通过计算机模拟和建模来实现。本研究探讨了信任网络结构特征对机会主义行为扩散的影响机制。结果表明，信任网络密度对抑制机会主义行为的实施倾向具有积极作用。然而，信任网络的集中化程度与机会主义行为的抑制程度呈负相关。
