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Title Research on the Identification Model of Interest Conflict Influencing Factors in PPP Projects Construction of Smart City
ID_Doc 45682
Authors Zhang, Y
Title Research on the Identification Model of Interest Conflict Influencing Factors in PPP Projects Construction of Smart City
Year 2022
Published Alexandria Engineering Journal, 61, 12
Abstract To systematically adjust and coordinate interest conflicts, it is necessary to identify the influencing factors of interest conflicts comprehensively and accurately. Based on theoretical and practical research, this paper initially screened 52 factors affecting the interest conflict in the construction of smart city PPP projects, and then conducted expert interviews and questionnaire analysis to adjust and revise the index system, and finally formed 27 relevant index systems. In order to further identify the key influencing factors and clarify the importance of the factors, the interval gray number-DEMETAL method is used to identify the key factors that induce multiple interest conflicts in the construction of smart city PPP projects to enhance the identification effect. The research shows that: the complexity of the project, the comprehensive quality of project personnel, and the differences in ideological and cultural concepts have become the main factors. Project social benefit, project quality compliance rate, project profit rate or rate of return become the most important result factors. Government behavior is the primary influence and restriction of the interest conflict in the construction of smart city PPP projects. In addition, interest conflicts are closely related to other project stakeholders, especially the private sector, social capital, and public behavior. Therefore, the government's decision-making behavior and incentive and restraint mechanism must first examine the interests of stakeholders and their behavior strategies, especially the behavior evolution trend under the government's incentive and restraint mechanism, which implement a flexible incentive and restraint mechanism. (C) 2022 THE AUTHOR. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
PDF https://doi.org/10.1016/j.aej.2022.06.039

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