A decision-making algorithm for selecting building information modeling functions Bhoir, Sneha A.; Schwab, Aimee; Esmaeili, Behzad; Goodrum, Paul
Due to a lack of common financial benchmarking for various BIM functions, decisions regarding adopting BIM functions are usually made based on market pressure or a manager’s intuition. While larger firms can afford such a trial and error process, the cost burden on small- to medium-sized firms is significant. Therefore, there is a need to assemble the tacit knowledge of BIM users into a simple algorithm that can aid new users in understanding the advantages and disadvantages of implementing BIM functions in a project. This study aims to develop a decision-making algorithm that helps practitioners choose BIM functions for their project to maximize success. Some of the independent variables that were considered are project category, project size, delivery method, and time of involvement of different parties. A questionnaire was developed to measure the importance of these variables on using different BIM functions. The survey was sent out to 3,017 owner representatives, architects, and project managers. In total, 119 individuals responded to the survey of which 81 were BIM users. The analysis of the data resulted in a decision matrix and an algorithm that provides guidance for decision makers regarding adopting different BIM functions. Most of the respondents worked in the building and commercial construction sector, which likely influenced the respondents. The findings of the study have contributions to both academia and practice. The results can be used by researchers as a benchmark for future studies and practitioners can use the decision-making algorithm to select an appropriate BIM function for their projects.
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