范围(计算机科学)
管理科学
标杆管理
独创性
决策分析
决策支持系统
优势和劣势
决策工程
商业决策图
系统回顾
计算机科学
工程类
业务
定性研究
人工智能
法学
程序设计语言
梅德林
社会学
营销
政治学
哲学
认识论
统计
社会科学
数学
作者
Afiqah R. Radzi,Rahimi A. Rahman,Shu Ing Doh
标识
DOI:10.1108/jedt-06-2021-0306
摘要
Purpose Various approaches have emerged to assist practitioners in making more informed decisions in highway construction projects. However, industry practitioners are still using subjective ways to make decisions. Also, researchers have developed tools and techniques with similar objectives. Lack of information on what has been developed might lead to those issues. Therefore, this paper aims to review trends of evolution, pinpoint strengths and gaps in the literature and identifies potential future directions for decision-making research in highway construction projects. Design/methodology/approach A systematic review was conducted on published articles on decision-making in highway construction projects using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) technique. Findings The analysis of 101 articles revealed that existing decision-making research in highway construction projects targets improvements in four areas: feasibility, conceptual, detailed scope and detailed design. The four areas consist of sixteen subthemes that are detailed in this study. In addition, most research involved developing decision support tools and systems as well as decision-making models, techniques and frameworks. Lastly, several research areas have emerged, such as adding more decision criteria including those with uncertainties, expanding existing decision-making models into decision support systems, benchmarking decision criteria between different sample populations and exploring inter-and intra-relationships between decision criteria. Originality/value This paper provides an overview of existing research on decision-making in highway construction projects. Also, it reveals research gaps in the body of knowledge to point out directions for future research. Finally, industry practitioners can use the findings to develop strategies for effective decision-making processes.
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