业务
产业组织
决策支持系统
知识管理
发展中国家
工程类
制造工程
工程管理
商业
计算机科学
经济
经济增长
人工智能
作者
Abdullahi B. Saka,Daniel W.M. Chan,Ibrahim Yahaya Wuni
标识
DOI:10.1016/j.autcon.2022.104407
摘要
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. • Unsuitability of BIM on projects is a major concern in SMEs. • Decision-making factors were identified and consolidated for BIM projects in SMEs. • Suitability decision support index (SDSI) was computed. • A Knowledge-based decision support system (KDSS) was developed and validated. • Empirical evidence were provided to support BIM suitability on SMEs' projects.
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