| As a key participant in the construction industry,construction enterprises’ s behaviors in production and operation,contract performance and project construction are the concentrated embodiment of their credit,and the degree of its merits and demerits are directly related to the construction of integrity in the construction industry.At present,the lack of credit in China’s construction enterprises still occurs from time to time.The research of how to dynamically monitor the credit status of construction enterprises in the whole process of market activities and learn the credit level of construction enterprises in real time has very important industry practical value and significant social implications.This study provides a systematic method for dynamic evaluating and monitoring the credit of construction enterprises,which can be used to know the credit level of construction enterprises in real time.This method can be used for the government to supervise the credit behavior of construction enterprises,for the construction enterprises to improve the internal credit rating and for the construction companies to select and evaluate cooperative enterprises,and ultimately provides a firm foundation in credit for the sustainable and high-quality development of China’s construction industry.In this paper,according to the research and analysis of national,provincial and industrial enterprise credit evaluation standards,the factors affecting the credit of construction enterprises are sorted out,and the primary database of dynamic credit monitoring indicators is constructed,and the monitoring indices are screened by combining expert discussion and exploratory factor analysis.Finally,the credit dynamic monitoring induces of construction enterprises are determined from five aspects,which lays the foundation for the credit dynamic monitoring model.This paper builds a construction enterprise credit dynamic monitoring model.The technical means of web crawler are used to obtain the data of dynamic credit monitoring indices.Analytic Hierarchy Process(AHP)is adopted to calculate the subjective weights based on the expert’s judgment of the importance of dynamic credit monitoring indices,and the entropy weight method is used to determine the combination weight of dynamic credit monitoring indices.Finally,TOPSIS is used to establish positive and negative ideal solutions,and solve the extent of closeness between the enterprise and the enterprise of optimal credit under idealized vision,to obtain the dynamic credit rank of the enterprises.Five construction firms are chosen as samples and the dynamic credit of enterprises is analyzed using the dynamic credit monitoring model.Authoritative credit information disclosure platforms as the data source are used to collect the enterprise credit data,to calculate the combination weights and the relative closeness.Based on the monitoring results of credit variety between and within the enterprises,the paper proposes individually targeted suggestions to the construction participants for using the credit dynamic monitoring model. |
