TY - JOUR
T1 - Knowledge-based decision support for BIM adoption by small and medium-sized enterprises in developing economies
AU - Saka, Abdullahi B.
AU - Chan, Daniel W.M.
AU - Wuni, Ibrahim Y.
N1 - Funding Information:
This research work was fully supported through the funding of the full-time PhD research studentship under the auspice of the Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/9
Y1 - 2022/9
N2 - BIM is often considered to be unsuitable and there are no systematic approaches to guiding suitability decisions in construction SMEs, especially in developing economies. Thus, this paper evaluated key decision-making factors (DMFs) for BIM-based projects in SMEs. Data was collected through interviews, a Delphi survey and analysed with Fuzzy Synthetic Evaluation (FSE). The result revealed that contractual factors, client requirements and project features are the most important DMF categories. Suitability Decision Support Index (SDSI) was computed, and action plans were compiled. These serve as a decision support engine and a knowledge base in developing a Knowledge-Based Decision Support System (KBDSS). The KBDSS validation showed that it is a useful tool for providing reliable decision support for SMEs. The findings provide solid empirical support for the evaluation of BIM in SMEs from a decision-making perspective. It has significant implications for policy and research and provides ground for technology suitability theory.
AB - BIM is often considered to be unsuitable and there are no systematic approaches to guiding suitability decisions in construction SMEs, especially in developing economies. Thus, this paper evaluated key decision-making factors (DMFs) for BIM-based projects in SMEs. Data was collected through interviews, a Delphi survey and analysed with Fuzzy Synthetic Evaluation (FSE). The result revealed that contractual factors, client requirements and project features are the most important DMF categories. Suitability Decision Support Index (SDSI) was computed, and action plans were compiled. These serve as a decision support engine and a knowledge base in developing a Knowledge-Based Decision Support System (KBDSS). The KBDSS validation showed that it is a useful tool for providing reliable decision support for SMEs. The findings provide solid empirical support for the evaluation of BIM in SMEs from a decision-making perspective. It has significant implications for policy and research and provides ground for technology suitability theory.
KW - Building information modelling
KW - Decision support system
KW - Decision-making factors
KW - Developing economies
KW - Small and medium-sized enterprises
UR - http://www.scopus.com/inward/record.url?scp=85132361853&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2022.104407
DO - 10.1016/j.autcon.2022.104407
M3 - Journal article
AN - SCOPUS:85132361853
SN - 0926-5805
VL - 141
JO - Automation in Construction
JF - Automation in Construction
M1 - 104407
ER -