INFLUENCE OF EXPERIENCE AND RESEARCH TIMES ON THE PERCEPTION OF CSFs AFFECTING PROJECT MANAGEMENT IN THE CIVIL CONSTRUCTION INDUSTRY USING RNA (Atena Editora)

Abstract

Efficient project management can ensure success and reduce the impacts of delays and changes that occur during the execution of the project. For this, there are the Critical Success Factors, which are essential for the company to achieve its mission. The objective of this study was to verify the influence of experience and research time on the perception of FCS in project management in the civil construction industry with the use of Artificial Neural Networks. To achieve this objective, data collected by a survey which resulted in 191 valid observations. Relative and global indices of importance were calculated. ANN was used to assess the most significant success factors using Neuro4 software with the algorithm: Resilient Propagation in the process of obtaining satisfactory RNA. The FCS: Unrealistic inspection and testing methods proposed in the contract were the most critical in project management in both perspectives and in the times considered by each of them, for the projects to achieve success. The ANNs produce subsidies to know the adopted input variables, they are efficient to order and transfer knowledge and they constitute a precise means for modeling non-linear variables.