Modelling of Construction Project Management Effectiveness by Applying Neural Networks
نویسنده
چکیده
The paper presents modelling of construction project management effectiveness from the perspective of construction management organization. Construction projects performance data from construction management companies in Lithuania and the United States of America was collected and used for model development. Construction project management effectiveness model (CPMEM) was established by using artificial neural networks (ANNs). Twelve key determinants factors were determined, that could increase opportunity to improve organizational performance through more effective project management. Construction project management effectiveness model and its application algorithm are recommended as a decision-support tool for competitive bidding to evaluate management risk of a construction project. The model allows construction project managers to focus on the key project management effectiveness factors, reduce the level of construction management risk and provide substantial savings for construction management company.
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