Investigating the Impact of Implementation of Project Management Information Systems on the Success of Bulk Development Projects Using Neural Networks (Case Study: Kara Sazeh Matin Co.)

Construction companies today are facing a new environment. Iranian construction and construction companies suffer from low productivity and many managers have struggled to find appropriate solutions to this problem. It seems that using project management information systems to improve managers' management and increase their productivity could be one of these solutions. But because of the special features that govern these construction and development companies, especially the problems of the human resources (including managers and employees), it is not possible to apply this tool in practice and to observe it in practice. It has become less of a company that has been able to use these project management information systems efficiently. Therefore, if research can identify the key components in implementing a project management information system in bulk construction projects and provide solutions for the effective use of these project management information systems, it will certainly be a useful step in solving corporate problems Construction removed. The present study aims to investigate the impact of implementing project management information systems on the success of project development projects, which include improving the quality, cost and time components of the project depending on the content dimensions of the quality of the project management information systems, which also include the accuracy components. Examines and explores the relevance and completeness of the information in Kara Sazeh Matin's bulk projects.