Abstract
The architecture, engineering, and construction (AEC) industry has seen a significant rise in the adoption of Building Information Modeling (BIM) in the last few years. BIM software have launched with numerous robust capabilities and features to satisfy the ever-demanding needs of the AEC industry. Various factors are associated with the selection of BIM software depending on a company’s requirements and constraints. BIM software selection is a daunting process as most AEC industries are unaware of the factors to consider when making this important decision. This study focuses on identifying the critical success factors (CSFs) and their interrelationship for efficient BIM software selection. For this research, a questionnaire was developed and disseminated in two stages in India, the United States of America (U.S.A.), Germany, and the United Kingdom (U.K.). In the first stage, a total of twenty-six identified CSFs were analyzed with the factor comparison method (FCM) to identify the top fifteen CSFs. Subsequently, the identified top fifteen CSFs were further assessed by implementing Fuzzy DEMATEL to categorize them into cause-and-effect groups based on respective influence strength, depicted with a causal diagram. Out of fifteen CSFs, five and ten factors were grouped into the cause group and effect group for BIM software selection, respectively. The most important factors were identified as software functionality, BIM adoption strategies and processes, interoperability, staff competencies, BIM standards and regional regulations. The outcome of this research can help BIM user companies improve their BIM software selection framework and decision-making process during purchasing software.
Highlights
In the digital age, Building Information Modelling (BIM) has been a ‘game-changing’ technology for the AEC industry [1,2]
This study identified 26 critical success factors (CSFs) as important factors for BIM software selection, and it educates companies regarding the complexity associated with the decision making of the BIM software selection process
This research study presented a novel approach for analyzing BIM software selection factors by using the factor comparison method (FCM) and Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) methods
Summary
In the digital age, Building Information Modelling (BIM) has been a ‘game-changing’ technology for the AEC industry [1,2]. With so many options, selecting the right BIM software has become critical for the success of an AEC business because it can significantly minimize the costs, time and risks associated with their projects [8] This decision will impact the potential benefit of BIM implementation, the time for software setup, training, and the realized return on investment (ROI). Right BIM software selection is a vital decision-making problem for management and directly influences the businesses and projects’ desired outcomes This decision-making process for BIM software selection is time-consuming, complex and ambiguous due to the availability of a large number of BIM software with associated features [9]. It is important to improve the BIM selection process by identifying and prioritizing critical success factors (CSFs)
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