Risk Management In Construction Projects Research Articles

Dynamic Analysis and Temporal Governance of Safety Risks: Evidence from Underground Construction Accident Reports

Due to the complexity and dynamics of underground construction projects, safety risk management has experienced significant challenges restricting the sustainable development of underground space. The research on risk causal chains and risk coupling has yet to reveal the dynamic interactive characteristics of these risk factors and their temporal relationships over time. This study utilized a complex system view for safety risk analysis, using 37 accident investigation reports of underground construction projects. Combined with two novel and emerging analytical methods, temporal qualitative comparative analysis and crisp-set qualitative comparative analysis, this study discusses the temporal relationship of risk factors to the cause of accidents and explores the multi-actor coupling characteristics of management risk. The findings indicate that (1) compared with general construction projects, underground construction should pay more attention to management safety risks because they have an obvious time lag effect expressed in all accident causation paths, namely, preceding management risk, management risk, and machine/material risk cross-concurrently, and management risk initiation and (2) underground construction project management risks have three key main paths, namely, single-actor-dominated management deficiency (supervisors, owners, and subcontractors that cause management risks as a single-core actor) and dual-actor-dominated management deficiency (owner and subcontractor as dual core actors of management risk). Multi-actor-dominated management deficiency (owners, subcontractors, and supervisors are the multiple core actors of management risk). This study thus developed a temporal governance framework of underground construction safety risks based on the synergy of multi-actors and proposed risk governance strategies, such as synergistic multi-actor governance, to consider the temporal relationship of safety risk. This study further reveals the temporal and coupling characteristics of safety risks to enrich the risk casual chain theory and risk coupling theory and establish a systematic risk analysis framework for new guidance for safety and risk management for underground construction projects.

Legal and Financial Risk Management in Large-Scale Construction Projects

Construction projects involve many parties and experts such as builders, contractors, designers, and consultants, which causes project arrangements to be complicated with many risks and uncertainties, including legal and financial risks. Legal risks include aspects of contracts, permits, certificates, claims, lawsuits, and sanctions. Conflicts or disputes can arise due to legal risks, which can lead to cost overruns and delays in project schedules. The project manager must be able to mitigate these risks in order to achieve the project objectives. This study uses descriptive qualitative and descriptive analytical methods to provide a detailed description of the research problem. The results showed that the risks adversely affect the legal aspects of construction, time, cost, and quality of the project. Legal risks in construction projects can arise due to several reasons, namely problems with documents and contract articles, lawsuits from third parties, and problems in acquiring project land. Good risk management is required to improve project efficiency, and project performance is improved when the organization can create a high fit between risk exposure and risk management profile.

Legal and Financial Risk Management in Large-Scale Construction Projects

Construction projects involve many parties and experts such as builders, contractors, designers, and consultants, which causes project arrangements to be complicated with many risks and uncertainties, including legal and financial risks. Legal risks include aspects of contracts, permits, certificates, claims, lawsuits, and sanctions. Conflicts or disputes can arise due to legal risks, which can lead to cost overruns and delays in project schedules. The project manager must be able to mitigate these risks in order to achieve the project objectives. This study uses descriptive qualitative and descriptive analytical methods to provide a detailed description of the research problem. The results showed that the risks adversely affect the legal aspects of construction, time, cost, and quality of the project. Legal risks in construction projects can arise due to several reasons, namely problems with documents and contract articles, lawsuits from third parties, and problems in acquiring project land. Good risk management is required to improve project efficiency, and project performance is improved when the organization can create a high fit between risk exposure and risk management profile.

Risk Management in Construction Projects in Palestine: Contractors' Perspective

Risk Management in Construction Projects in Palestine: Contractors' Perspective

Innovative Model for Assessing the Level of Failure Risk in Construction and Buildings

This research explores risk management in construction projects to prevent potential failures due to natural factors or human errors. The objective is to develop a risk assessment model for failures in construction and building projects, focusing on identification, categorization, risk level determination, and model development. The research benefits encompass theoretical contributions to construction risk management, governmental policy guidelines, operational assistance in project risk management, and enhancements in the safety and quality of construction projects. This research innovates by expanding research variables, incorporating failure risk level assessments, and utilizing technological approaches. The research methodology combines quantitative and descriptive approaches, focusing on failure risk factors from service/contractor providers, consultants, and project owners. Data is obtained through literature studies, secondary data, and primary data via questionnaires. The analysis involves factor analysis, importance index, impact probability matrix, and the Partial Least Square (PLS) method for structural analysis. The research conclusion identifies failure risk factors including financial aspects, management, equipment availability, and natural impacts such as floods and earthquakes. The risk assessment model categorizes risks into high, medium, and low, enabling appropriate anticipatory measures. This model provides guidance for stakeholders to mitigate risks, improve quality, and maintain the integrity of construction projects and buildings, supporting safety and success throughout project stages. This research makes a significant contribution to construction project risk management and construction quality improvement.

Managing construction project risks in turbulent times: a stakeholders perspective

PurposeThe construction industry is unique but with uncertainties. This is because of the operating environment. This intricacy gives rise to several construction risks and is compounded in developing countries’ turbulent times. If not managed, these risks enhanced in turbulent times could negatively impact the Nigerian construction projects’ cost, time, quality, and performance. Hence, this study investigated the perceived encumbrances facing construction risk management techniques and identified measures to promote sustainable-based construction risk management in turbulent times.Design/methodology/approachThe researchers adopted a qualitative approach and achieved saturation with 28 participants. The participants were government policymakers, quantity surveyors in government ministries/agencies/departments, consultant engineers, consultant architects, consultant and contracting quantity surveyors, and construction contractors knowledgeable about construction risk management. The research employed a thematic analysis for the study’s data.FindingsFindings identified turbulent times related to the industry and major techniques for managing construction project risks in the Nigerian construction industry. It revealed lax adoption and implementation of practices. Also, the study identified major encumbrances facing construction risk and proffered initiatives that would promote sustainable-based construction risk management in turbulent times.Originality/valueThis study investigates encumbrances and suggests measures to promote construction project risk management in turbulent times in Nigeria. Also, the study contributes to the literature’s paucity, uncovering perceived encumbrances and evolving organisations’ management styles to imbed sustainable-based risk management practices by qualitative research design method.

Occupational Safety and Health Risks in Building Construction Projects : A Systematic Literature Review

Although quite a few studies have focused on Occupational Health and Safety (OHS)-related issues within the context of sustainable building construction projects, there has been dearth of a study developing a management framework to comprehensively identify, analyze, evaluate, and control the safety risks threatening the involved Building Construction Workers. Risk is always present in every construction project. Occupational safety and health risks in building construction projects have various risks and are likely to be affected due to their difficulty and multiple operations and threats. Risk factors are divided into three categories, namely internal factors, projects, and external factors. Three categories above is further divided into two technical and non-technical risk. This paper review 40 selected papers that discuss risk identification and risk management in residential construction projects. Risk factors in residential projects are generally very diverse and give us an idea that the interrelationships between the parties with an interest in the project contribute to the risk factors themselves occurring the course of the project. It has been mentioned that the risk factors that occur in residential projects is something that is commonplace in various countries, in this case contributing to the success of the project. Outline on this paper has succeeded in providing information on the extent to which risk factors are currently occurring and there is a high potential for a change in the percentage of risk factors according to the classifications presented in this journal for other construction projects in the future.

Boosting large‐scale construction project risk management: Application of the impact of building information modeling, knowledge management, and sustainable practices for optimal productivity

AbstractThis study investigates the relationship between Building Information Modeling (BIM) and knowledge management in large‐scale construction projects, emphasizing risk management, and increasing productivity. This study aims to identify the most important and impactful aspects of modern management techniques in the large‐scale construction sector to improve construction quality; focusing on cost reduction, energy conservation, and pollution reduction during construction. Employing a validated questionnaire from experts and the Analytical Hierarchy Process (AHP), the research prioritizes key factors, elucidating the pivotal role of BIM in understanding project geometry, efficient documentation, design flexibility, and reduced project delays. Ascertained through data analysis employing the pairwise comparisons method of the AHP analysis method, the compatibility of all comparisons and matrices arising from the decision‐making process of experts was below 0.1. The results establish BIM's technical capabilities, economic considerations, and pollution reduction as paramount, contributing significantly to improve large‐scale construction project risk management. The prioritization of the main criteria reveals their significance in the following order: BIM technical capabilities (0.281), BIM economic capabilities (0.231), pollution reduction (0.228), knowledge management capabilities (0.096), BIM time capabilities (0.090), and human resources management capabilities (0.074). BIM can improve risk management for large‐scale construction projects by: using the BIM model to understand the geometry and features of large‐scale construction projects; digitizing and organizing contract documents, project data, plans, work instructions, roles and responsibilities, cost, time, and energy analysis, and other project‐related documents for efficient project management; decreased duplication and project delays; reducing the need for on‐site personnel during implementation and CO2 emissions reduction. According to the results of the BIM model utilization to better understand the geometry and characteristics of large‐scale construction projects, the item was identified as the most significant and influential among the main components.

An Artificial Neural Network Approach for Construction Project Risk Management

An Artificial Neural Network Approach for Construction Project Risk Management

Developing a multidimensional risk assessment model for sustainable construction projects

PurposeSustainable construction re-engineers the conventional project lifecycle to integrate sustainability solutions. The additional sustainability requirements introduce new layers of complexity, challenges and risks that if unaddressed, can derail the gains in sustainable construction projects. This study developed a multidimensional risk assessment model for sustainable construction projects in the United Arab Emirates (UAE).Design/methodology/approachThe research activities a comprised comprehensive literature review to shortlist relevant risks, an analysis of the probability – impact rating of the shortlisted risks – and the development of a risk assessment model for SC projects in the UAE. The model is developed based on the multicriteria framework and mathematical formulation of the fuzzy synthetic evaluation approach.FindingsThe developed model quantified the overall risk level in sustainable construction projects to be 3.71 on a 5-point Likert scale, indicating that investment in SC projects in the UAE is risky and should be carefully managed. The developed model further revealed that each of the risk groups, comprising management (3.82), technical (3.78), stakeholder (3.68), regulatory (3.66), material (3.53) and economic risks (3.502), presents a significant threat to realizing outcomes typical of SC projects.Originality/valueThis study developed a multidimensional risk assessment model capable of objectively quantifying the overall risk level and provides decision support to project teams to improve risk management in sustainable construction projects.

Can ChatGPT exceed humans in construction project risk management?

PurposeThe objective of this research is to investigate the capabilities of the ChatGPT GPT-4 model, a form of artificial intelligence (AI), in comparison to human experts in the context of construction project risk management.Design/methodology/approachEmploying a mixed-methods approach, the study draws a qualitative and quantitative comparison between 16 human risk management experts from Finnish construction companies and the ChatGPT AI model utilizing anonymous peer reviews. It focuses primarily on the areas of risk identification, analysis, and control.FindingsChatGPT has demonstrated a superior ability to generate comprehensive risk management plans, with its quantitative scores significantly surpassing the human average. Nonetheless, the AI model's strategies are found to lack practicality and specificity, areas where human expertise excels.Originality/valueThis study marks a significant advancement in construction project risk management research by conducting a pioneering blind-review study that assesses the capabilities of the advanced AI model, GPT-4, against those of human experts. Emphasizing the evolution from earlier GPT models, this research not only underscores the innovative application of ChatGPT-4 but also the critical role of anonymized peer evaluations in enhancing the objectivity of findings. It illuminates the synergistic potential of AI and human expertise, advocating for a collaborative model where AI serves as an augmentative tool, thereby optimizing human performance in identifying and managing risks.

A simulation-based risk interaction network model for risk management in international construction projects

The inherent complexity in International Construction Projects (ICPs) brings forth the intricate interactions between risks, invalidating the risk analysis under the conventional perception of independent risks. The diverse phases of ICPs feature the temporal dynamics of risks and interactions, exacerbating the challenge of pinpointing critical risks. This study aims to model how the risks are interconnected and amplified by proposing an ICP risk management framework, in which the project phase-based Risk Interaction Network (RIN) is constructed. An integrated index is designed to evaluate each risk’s criticality and discern key risks within a two-part procedure, where the simulation-based model estimates risk sensitivity to predecessor risks and captures the stochasticity of risk occurring, and network analysis gauges risk spread power on the entire network. An example of an application is provided to illustrate the utility of the proposed framework.

ANALISIS DAN MITIGASI RISIKO KESELAMATAN DAN KECELAKAAN KERJA PADA PROYEK PEMBANGUNAN BALI INTERCONTINENTAL GRAND BALLROOM

ANALISIS DAN MITIGASI RISIKO KESELAMATAN DAN KECELAKAAN KERJA PADA PROYEK PEMBANGUNAN BALI INTERCONTINENTAL GRAND BALLROOM

Evaluation of risk factors affecting the safety of coal mine construction projects using an integrated DEMATEL-ISM approach

Purpose The purpose is to identify and evaluate the safety risk factors in the coal mine construction process.Design/methodology/approach The text mining technique was applied in the stage of safety risk factor identification. The association rules method was used to obtain associations with safety risk factors. Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretative Structural Modeling (ISM) were utilized to evaluate safety risk factors.Findings The results show that 18 safety risk factors are divided into 6 levels. There are 12 risk transmission paths in total. Meanwhile, unsafe behavior and equipment malfunction failure are the direct causes of accidents, and inadequate management system is the basic factor that determines the safety risk status.Research limitations/implications Due to the limitation of the computational matrix workload, this article only categorizes numerous lexical items into 18 factors. Then, the workshop relied on a limited number of experts; thus, the findings may be potentially biased. Next, the accident report lacks a universal standard for compilation, and the use of text mining technique may be further optimized. Finally, since the data are all from China, subsequent cross-country studies should be considered.Social implications The results can help China coal mine project managers to have a clear understanding of safety risks, efficiently carry out risk hazard identification work and take timely measures to cut off the path of transmission with risks identified in this study. This helps reduce the economic losses of coal mining enterprises, thus improving the safety standards of the entire coal mining industry and the national standards for coal mine safety policy formulation.Originality/value Coal mine construction projects are characterized by complexity and difficulties in construction. Current research on the identification and assessment of safety risk factors in coal mine construction is insufficient. This study combines objective and systematic research approaches. The findings contribute to the safety risk management of China coal mine construction projects by providing a basis for the development of safety measures.

Analisis Manajemen Risiko Pada Proyek Konstruksi Jalan di Provinsi Jambi

In the implementation of road construction projects, there are often various obstacles that arise due to the risks that occur which result in not achieving the expected performance, quality and achievement of work results. The purpose of this study was to determine the risk factors that affect the implementation of work in the field and to determine the application of risk management in road construction projects. In this study, risk identification, risk analysis and risk response were carried out in the construction of road construction projects, especially road construction in Jambi Province. The research method used was by way of a survey distributing risk factor questionnaires and actions on risk factors to consultants. The assessment method uses a risk matrix assessment sourced from AS/NZS 4360: 2004. From the results of this study, it is found that the risk level for road construction work in Jambi Province is very high risk (very high) of 8%, high risk (High) of 7%, and a moderate risk of (Medium) of 16%.

Barriers to risk management in small construction projects in Sri Lanka

PurposeThis study explores the current status of risk management (RM) in Sri Lanka and the obstacles in implementing RM in Sri Lankan small construction projects.Design/methodology/approachThe current research study adopted a quantitative research method. Using a purposeful sampling strategy, 100 construction companies engaged in small construction projects in Sri Lanka were selected and a questionnaire was distributed among top managerial employees of these companies. Employees belonging to 47 companies responded to the survey which provided information relating to 812 construction projects. The collected data were analyzed using the RM implementation index (RMII) and other quantitative measures such as mean, median and percentages.FindingsThe research findings indicated that RM incorporation was at a lower degree in small construction projects in Sri Lanka. The findings further indicated that RM incorporation was relatively high in the public construction projects compared to the private construction projects. The main obstacles identified through the survey for RM implementation were: “lack of funding”, “lack of time”, “low profit margin”, “not economical” and “lack of knowledge”.Research limitations/implicationsThe study was limited to exploring RM implementation in small construction projects in Sri Lanka. The study was limited to the building construction companies under the 150-million-rupee (approx. below 450,000 USD) financial limit registered with the construction industry development authority in Sri Lanka.Originality/valueRM in small construction projects in developing countries is a relatively less explored domain. Sri Lankan construction industry is another relatively less explored domain in terms of new management technique implementation such as RM and value management. The quantitative approach used for the study revealed that RM implementation is at a lower degree in the small construction projects. Moreover, several obstacles pertaining to RM implementation were recognized through this study. These findings will be useful for the construction stakeholders to overcome the recognized barriers and effectively use RM in their respective construction projects.

Risk Management Planning by Risk Register in Building Construction Project

This research addresses the common issue of vulnerabilities emerging during construction projects due to inadequate risk identification and analysis. It aims to mitigate this by creating a comprehensive risk register, documenting potential risk events, their causes, and characteristics. The main goal is to identify prominent risk factors in building construction projects and develop a risk management strategy using this register. The study used purposive sampling and considered 22 indicators, including human resources, cost, materials, equipment, and environmental conditions. Questionnaires were distributed to 50 contractors in the Banda Aceh region. Validity and reliability were confirmed through statistical analysis. The analysis showed that human resources were the most prevalent risk factor. Using a probability impact matrix, five indicators had medium-risk levels, while seventeen indicated low risk. Human resources, materials and equipment, and environmental conditions were identified as dominant risk factors, all at a medium-risk level. The study underscores the importance of addressing human resources risks through a structured risk register, which can significantly improve project management and execution. By systematically assessing and mitigating potential risks, project stakeholders can make informed decisions and enhance project outcomes in terms of timelines, costs, and quality. In conclusion, this research highlights the critical role of risk management in construction projects and emphasizes the value of a comprehensive risk register. Addressing dominant risks proactively can positively impact building construction projects.

Analysis of Changes In Risk Management Implementation At PT. ABC Based On ISO 31000:2018

The implementation of a company's risk management is important because it can provide input for management to act preventively to prevent risk events that are often detrimental (downside risk). PT ABC as a subsidiary of the nickel mining company as Parent Company has transformed its risk management from partial to integrated based on ISO 31000: 2018. This change must be well prepared to avoid delays in the integration process because PT ABC has a project to develop the Industrial Estate and the RKEF (Rotary Kiln Electric Furnace) Smelter Development with a significant value so that preventing losses by carrying out risk mitigation efforts is important to implement. The purpose of this study is to comprehensively analyze changes in the application of risk management at PT ABC, evaluate the application of risk management adopted by the company, identify challenges faced by the company, and analyze the application of risk management to current business activities. The research method uses primary data through direct observation of existing change preparation practices and uses secondary data from related company data. The basis of the risk method used is the ISO 31000: 2018 guidelines. The results showed a significant impact in the integration of risk management adopted to be more comprehensive than the previous implementation. The risk management ntegration factor of the Parent Company and its subsidiaries has consequences for the sustainability of the program and budgeting in the RKAP, especially for improving the quality of risk management analysis through risk awareness programs. The implementation of PT ABC risk management in the RKEF smelter construction project identified 8 aspects of risk which include investment taxonomy (5 aspects), regulatory changes (1 aspect), and environment (1 aspect). Risk mitigation efforts have been carried out in the risk map from 1 aspect of high risk; 5 aspects of medium risk and to reduce the impact and probability that exists, namely: 3 risk aspects (from medium to high) and 5 risk aspects (from low to medium). This shows that there is a fairly good readiness to anticipate risks that have a negative impacts.

Data-Driven Approach to Risk Identification for Major Transportation Projects: A Common Risk Breakdown Structure

Identifying and evaluating risks is one of the most essential steps in risk management in construction projects. When technical and managerial complexity increases in major transportation projects, this becomes even more important. Currently, project teams are assumed to identify risks mostly based on their experience and expertise. It is a major issue that some state departments of transportation (DOT) project teams lack the risk management experience. This study proposes using a data-driven approach to unify and summarize existing risk documents to create a comprehensive risk breakdown structure (RBS). As a preliminary risk identification framework, a consolidated RBS were developed, using content analysis of public risk reports by various DOTs. Then, comparison was made between the developed RBS with 70 US transportation projects' risk registers. Natural language processing techniques, bidirectional encoder representations from transformers, were employed to calculate semantic text similarity to determine what percentage of risks are covered by generic RBS. The results showed that 70 generic risk templates cover almost 81% of the identified risks in the database of 70 major projects which is about 6000 individual risks. Project parties can use these results to discuss and identify context-specific risks as a starting point. The study also determined the interactions between risk items based on their co-occurrence using historical data. Research findings revealed the importance of considering interdependencies between risks in future studies.

Factor's determining successful risk management in construction projects

Factor's determining successful risk management in construction projects