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The Evolutionary Game of Trust in Public-Private Partnership Project Networks
Author(s) -
Xiangtian Nie,
Kai Feng,
Guoxiang Zhao,
Tianyu Fan,
Shengnan Wang
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/5514708
Subject(s) - general partnership , context (archaeology) , evolutionary game theory , government (linguistics) , payment , evolutionarily stable strategy , game theory , public–private partnership , state (computer science) , business , economics , microeconomics , computer science , finance , paleontology , linguistics , philosophy , algorithm , biology
In public-private partnership (PPP) projects, the government plays a role as both regulator and participant. Trust between the government and the private sector is important as it may affect project performance and even cause the problem of a breach of contract, which may lead to project failure. Little is known, however, about the formation and evolution mechanisms of trust in this context. This study analyses the complex evolution of trust in PPP project networks. An evolutionary game of trust model between government and the private sector is established and analysed, the strategic equilibrium points are obtained by solving the replication dynamic equation, and the Jacobian matrix and differential equation stability theory are introduced to analyse the stability of the equilibrium points. The results reveal the relationships among the stable state of trust, the initial state of trust, and the payment matrix, indicating that the payment matrix can effectively shape the evolution process and stable state of trust to influence performance. This study provides a novel contribution in solving the complex trust problem in PPP project networks and it provides a new analytical tool for PPP project management practice.

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