Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL (2021)
<jats:p>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.</jats:p>
CitationPatel T, Bapat H, Patel D, van der Walt JD Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL. Buildings. 11(7). 311-311.
This citation is automatically generated and may be unreliable. Use as a guide only.
KeywordsBIM; software selection; decision-making process; critical success factors; Fuzzy DEMATEL; FCM; AEC
ANZSRC Fields of Research33 - Built environment and design::3302 - Building::330204 - Building information modelling and management
33 - Built environment and design::3302 - Building::330202 - Building construction management and project planning
33 - Built environment and design::3301 - Architecture::330107 - Architecture management
46 - Information and computing sciences::4612 - Software engineering::461207 - Software quality, processes and metrics
RightsCopyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Showing items related by title, author, creator and subject.
Digitilisation of the New Zealand Building Industry: Capturing the Benefits of Digital Technologies on the Design, Construction and Management of Buildings Jones D; Amor R; Bellamy L (Quake Centre, 2020)Executive summary: The construction sector globally recognises that it has lagged behind other sectors in productivity improvements and the uptake of technology, and that there is a need for change. Major international ...
Bartneck, Christoph; Kanda T; Mubin O; Mahmud AA (Springer Nature, 2009)Robots exhibit life-like behavior by performing intelligent actions. To enhance human-robot interaction it is necessary to investigate and understand how end-users perceive such animate behavior. In this paper, we report ...
A case study of design decision-making for an exemplar steel portal-framed building under fire exposure using a hybrid analysis technique Akaa OU; Abu A; Spearpoint M (Elsevier BV, 2020)This paper demonstrates how stakeholder decision-making can be optimised in the design of steel-framed buildings that may be exposed to destructive fires. A novel hybrid technique, proposed in a previous study by the same ...