The Construction of an Economic Performance Evaluation Model for Construction Project Management and Empirical Verification from Multiple Perspectives

With the opening of the construction market and the intensification of competition, enhancing the economic performance of engineering projects has become crucial for construction companies to improve their competitiveness. This study developed a multi-dimensional comprehensive evaluation model of the economic performance assessment system grounded in management performance. The model incorporates various perspectives, including financial performance and project management effectiveness. Utilising systematic and quantitative approaches, it performs a comprehensive multi-level analysis and evaluation of the economic activities, financial status, resource allocation, and final economic benefits during project implementation from “simultaneous point” and “same node” perspectives. Relevant project data from the Installation Company of China Construction Seventh Engineering Bureau were utilised as a case study for verification. The findings indicate that, under “simultaneous point” analysis, information from all business systems can be seamlessly integrated and extensively analysed at a specific time, offering project managers a more dynamic perspective. Cross-business boundary analysis from a same node perspective enables a comprehensive and accurate assessment of the project’s economic status through rigorous data correction, facilitating data connections between diverse business areas at a unified time node. The economic performance evaluation model developed in this research provides a comprehensive assessment of the core competitiveness of construction enterprises and offers both a theoretical framework and practical tools for project performance management in the construction industry. The analysis of simultaneous points and nodes offers a reference for management decision-makers to dynamically monitor economic performance and optimise decision-making in resource allocation, financial management, and project implementation.

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