scholarly journals Model of risk management of construction project based on transaction costs

2018 ◽  
Vol 193 ◽  
pp. 05025
Author(s):  
Irina Vladimirova ◽  
Pavel Zemskov ◽  
Anna Tsygankova

The paper studies the relationship between transaction costs and risk management in the construction projects affecting ecosystem considering economic externalities. Quantitative indicators of the impact of transaction costs on the level of risk in the project are thoroughly investigated. The construction project risk management model based on transaction costs is discussed in detail. Collected and experimental data of the construction project, which has a significant impact on the ecology of the Baikal region in the Russian Federation is analyzed and the uncertainty reduction caused by transaction costs is measured.

2017 ◽  
Vol 26 (2) ◽  
pp. 241-249 ◽  
Author(s):  
Jarosław Górecki ◽  
Jadwiga Bizon-Górecka ◽  
Karol Michałkiewicz

A paper focuses on analyzing the impact of Big Data (BD) on minimizing the risk in investment and construction projects. The work presents the aspects of risk occurring during the execution of the construction project. It presents an on-line survey which was aimed at knowing the opinion of Polish construction companies on the BD, and checking their readiness to implement technologies supporting manipulation of the data. It was underlined that results of the BD analysis provide a powerful tool for risk management, however, it is hardly noticed by the Polish respondents.


2021 ◽  
Vol 13 (2(I)) ◽  
pp. 16-34
Author(s):  
Adrien Fariala ◽  
Olawumi Dele Awolusi

The success of the Government's construction projects in the Democratic Republic of Congo (DRC) since 2011 has been anchored on the potential of construction firms in completing these projects based on the planned timeframe as well as the budget. Consequently, from a project management viewpoint, the main objective of the present study was to assess the critical success factors in developing countries' construction projects and to examine the impact of risk management, leadership, experience and expertise, and project size on construction projects in DRC. Data was gathered from respondents in the construction projects in DRC using quantitative methods. A statistical software program, SPSS version 25, was subsequently used to analyze the collected quantitative data. The findings emanating from this study contribute to the body of knowledge on key success factors in construction projects in DRC as a developing country. It was revealed from the study that the success of construction projects in DRC could be boosted through effective and efficient risk management. In addition, effective and efficient leadership mainly transactional leadership would affect construction project success. Further, the more the experience and expertise of construction project staff, the more likely the project success criteria would be met, and the more likely the project would be successful. And lastly, smaller-sized and medium-sized construction projects may be more successful, whereas mega projects may not be very successful due to insufficient and limited experience and expertise.


Author(s):  
Abdullah Albogamy ◽  
Nashwan Dawood ◽  
Darren Scott

Delay-risk factors associated with clients in a construction project have a major impact on a successful delivery on time and within budgeted cost. Risk management studies so far have not effectively managed project risk factors in a way that can assist clients in creating strategies to reduce impacts and risk. To address these issues, the study aims to provide a new methodology for analyzing and managing the risks by building a conceptual model. The study includes the development of a framework, named the client risk management model (CRMM), by integrating the findings from a literature review and a construction industry survey. A client risk analysis system was developed by integrating the analytical hierarchy process and a Monte Carlo simulation within an @Risk program. A case study demonstrated the methodology to analyze and quantify the impact of risk factors, and to create a suitable risk mitigation strategy at the design stage of a construction project. The system was found to be useful for quantifying the impact of client risks and the support in taking proactive decisions.


2018 ◽  
Vol 49 ◽  
pp. 02020
Author(s):  
Hery Suliantoro ◽  
Nurul Fitriani ◽  
Bagus Hario Setiadji

Risk is a condition caused by uncertainty. Risks will occur on any construction project, including bridge construction projects. Efforts that can be taken to minimize the impact of these risks are to engage in risk management activities. This research was conducted on bridge construction work on toll road procurement project in Pejagan-Pemalang, Pemalang-Batang and Salatiga-Kertasura. The purpose of this research is to analyze the risk of bridge development project in toll road project using Risk Breakdown Structure (RBS) method and then the result as database in discussing risk response strategy. The bridge construction project has 36 risks that are divided into six groups: materials and equipment, design, human resources, finance, management, nature and environmental conditions. Bad weather risks are the higest risk and seasonal risk causing temporary work stoppages. This risk-response strategy is avoidance. Short-term avoidance response strategy is to add shift workers, install tents and add additives in the acceleration of the process of maturation of concrete. The long-term avoidance response strategy is to evaluate and rearrange the work schedule by considering the weather forecast report.


2016 ◽  
Vol 16 (3) ◽  
pp. 307-322 ◽  
Author(s):  
Hossein Karimi ◽  
Timothy R.B. Taylor ◽  
Paul M. Goodrum ◽  
Cidambi Srinivasan

Purpose This paper aims to quantify the impact of craft worker shortage on construction project safety performance. Design/methodology/approach A database of 50 North American construction projects completed between 2001 and 2014 was compiled by taking information from a research project survey and the Construction Industry Institute Benchmarking and Metrics Database. The t-test and Mann-Whitney test were used to determine whether there was a significant difference in construction project safety performance on projects with craft worker recruiting difficulty. Poisson regression analysis was then used to examine the relationship between craft worker recruiting difficulty and Occupational Safety and Health Administration Total Number of Recordable Incident Cases per 200,000 Actual Direct Work Hours (TRIR) on construction projects. Findings The result showed that the TRIR distribution of a group of projects that reported craft worker recruiting difficulty tended to be higher than the TRIR distribution of a group of projects with no craft worker recruiting difficulty (p-value = 0.004). Moreover, the average TRIR of the projects that reported craft worker recruiting difficulty was more than two times the average TRIR of projects that experienced no craft recruiting difficulty (p-value = 0.035). Furthermore, the Poisson regression analysis demonstrated that there was a positive exponential relationship between craft worker recruiting difficulty and TRIR in construction projects (p-value = 0.004). Research limitations/implications The projects used to construct the database are heavily weighted towards industrial construction. Practical implications There have been significant long-term gains in construction safety within the USA. However, if recent craft shortages continue, the quantitative analyses presented herein indicate a strong possibility that more safety incidents will occur unless the shortages are reversed. Innovative construction means and methods should be developed and adopted to work in a safe manner with a less qualified workforce. Originality/value The Poisson regression model is the first model that quantifiably links project craft worker availability to construction project safety performance.


2021 ◽  
Vol 13 (4) ◽  
pp. 2034
Author(s):  
Chien-Liang Lin ◽  
Bey-Kun Chen

Risks inevitably exist in all stages of a project. In a construction project, which is highly dynamic and complex, risk factors affect the expected achievement rates of the three main performance goals, namely schedule, cost, and quality. A comprehensive risk management procedure requires three crucial steps: risk confirmation, analysis, and treatment. Risk analysis is the core of risk management. Through structural equation modeling, this study developed a risk analysis model that takes a different perspective and considered the occurrence probability of risk events and the extent to which these events affect a project. The contractor dimension was discovered to exert the strongest influence on an overall project, followed by the subcontractor and design dimensions. This paper proposes a novel construction project risk analysis model, which considers the entire project. The proposed model can be used as a reference for risk managers to make decisions about project risks, so as to achieve the ultimate goal of saving resources and the sustainable operation of the construction project.


2012 ◽  
Vol 226-228 ◽  
pp. 2253-2257
Author(s):  
Ren Hui Liu ◽  
Bo Yu

It is a nonlinear complex system for project emergency response system, that is a continuous process for the evolution of emergency construction project development process. The nonlinear differential equations that can describe the sudden emergency construction project the evolution of mathematical models. Emergency system by Logistic model was modified, taking into account the development of emergency systems will certainly be outside the system during the impact, combined with the project incidents of law principles of the role of Heinrich proposed TS-based emergency response system evolution equation Model, demonstrated the system at different stages of the emergency rules and features. For the emergency system in which the different stages of development, the corresponding measures to improve emergency response capabilities.


2012 ◽  
Vol 174-177 ◽  
pp. 3360-3363 ◽  
Author(s):  
Zhi Lu Zhen

Based on analyzing the complexity of construction projects, we established a collaborative management framework for complex construction project and presented the main content of collaborative management. The main content includes three parts, the first part is the collaborative management for system itself, the second part is to reduce the system complexity in order to reduce the difficulty of management and the last part is to reduce the complexity caused by the uncontrollable external environment. We can use the method of risk pre-assessment and take risk prevention measures to reduce the impact for collaborative management caused by the dynamic external environment.


2021 ◽  
Vol 14 (2) ◽  
pp. 91-101
Author(s):  
Noor Aletby ◽  
Hafeth Ibrahim

Construction projects in Iraq face many dangers that cause exceeding the estimated cost of the project and not completing the project on time, and since the risk management process in construction projects is of great importance in controlling and reducing the impact of risks in construction projects, so it is necessary to identify these risks and evaluate them correctly in order to increase accuracy and the health of the subsequent stages of the risk management process in construction projects. This paper aims to identify the most important risks in construction projects in Iraq and to conduct a qualitative assessment of the identified risks and arrange them according to their importance. The researcher adopted the questionnaire method as a tool to determine the risks and used the technique of probability and effect matrix to conduct the qualitative assessment of the identified risks. The study found that there are 48 risk factors that constitute the most dangerous factor in construction projects in Iraq, and 10 of the determining factors were within the high level of risk, and at the forefront of which was the inability of the owner to finance the project.


2021 ◽  
Vol 39 (4) ◽  
pp. 1029-1034
Author(s):  
A. Nazif ◽  
A.K. Mustapha ◽  
F. Sani

Estimating of cost for building construction projects with minimum error at the conceptual stage of project development is quite  essential for planning. This study seeks to evaluate factors responsible for cost escalation of building construction projects.  Questionnaires were administered to examine and assess these factors. Subsequently, the mean score value of each factor was determined. In addition, Correlation and Linear regression analyses were used to establish the relationship between these factors. Factors responsible for cost escalation in projects were examined as well as the impact of those factors, and occurrence of those factors on project cost. The result of the analysis showed that, the most agreed factors responsible for project cost escalation were; inadequate supervision, irregular payment, and design error, having high mean values of 4.25, 4.20, and 4.15, respectively. Also, correlation analysis result established that the factors responsible for cost escalation and the impact of cost escalation had significant R and R2 of 0.81 and 0.70 respectively. Addressing these factors would go a long way in reducing the escalation of building project cost. Never the less, an effective cost management strategy is absolutely necessary to safeguard and sustain the construction  industry. Keywords: cost escalation, building project, construction, regression analysis


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