Proposed A New Model for Risk Management Software for Construction Projects

Abstract

A construction project involves a wide range of activities and transformations during its planning and execution stages, which can pose several risks. An essential function of risk management is to create awareness of uncertainty, qualify risks, manage controllable risks, and curtail uncontrollable risks. The evidence demonstrates that effective implementation of digital risk management software can achieve significant improvements in safety performance, regulatory compliance, project delivery times, and cost control. This study aimed to propose a new model for Risk Management software for Construction Projects based on a Review of the literature. We conducted a literature review according to the PRISMA guidelines. In our search, we focused on construction and civil engineering projects(P) and Risk Management Software (I). The comparison of interest (C) was Traditional/Manual Methods. In terms of outcomes (O), it was postulated that reported outcomes could be categorized as the “identification of specific outcomes”. We set a timeframe (T) for research published since 2010, which encompassed the last 16 years. A literature search was conducted on 23 September 2025, and a final search was conducted on 22 October   2025 via Web of Science, Scopus, Wiley, and Science Direct databases. The search keywords were “Risk Management, software, Construction Projects” using AND/OR operators. We searched all combinations of terms from each category to find the target studies. We included six articles and two websites. The developed risk management software systems demonstrated a broad application scope, having been designed for use in various countries, including Iraq, China, Korea, and the United Kingdom. These systems were successfully deployed across diverse projects such as hospitals, railways, metro lines, bridge construction, coal chemical enterprises, and small and medium-sized enterprises (SMEs) in the construction sector. Crucially, the majority of the custom-designed software solutions were BIM-based, underscoring the trend towards integrating advanced information modeling into risk management practices across the global engineering sector. We presented the results section in three distinct stages: 1. A review of the literature, 2. the synthesis of the study findings, and 3. the proposal of a new model.BIM is an intelligent 3D model-based tool that gives users a digital depiction of the functional and physical aspects of a facility. Increased understanding of the planning, design, construction, and management of the space is made possible by this type of representation. When properly applied, building information models can address communication issues in the construction industry and offer a shared knowledge base that can serve as a trustworthy foundation for decisions made throughout a building's lifecycle.