Measuring BIM Implementation: A Mathematical Modeling and Artificial Neural Network Approach

Recognizing the current level of BIM implementation in firms can be challenging without a quantitative method.However, there is no quantitative method to assess firms' current level of BIM implementation.This study aims to address this gap.The study begins with a literature review to identify 27 BIM implementation enablers, followed by interviews with three firms to score their performance in each enabler.A mathematical model is then developed to score a firm's BIM implementation.One million random scenarios are simulated for each firm's enablers' score.The simulation results are fed into a designed feature pairing neural network, which provides a customized best course of action for each firm.The study contributes to the body of knowledge by proposing a novel quantitative approach for measuring the current level of BIM implementation and providing data driven advise for steering the BIM implementation process.