Prediction of Consultant Performance for the Selection Process

This research aims to develop performance predictive conceptual models to forecast performance outcomes of construction consultants in the UK university environment. 

The work covers consultancies for new build, refurbishment and maintenance projects. The report uses regression models to predict performance based on the input economic and management factors at the procurement stage.

Each model calculates a performance score for the performance outcomes of time, cost, quality, innovations and working relationship with the client. Performance scores for individual performance outcomes are then added to provide a total quality score.

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