Risk management practices in the construction industry using Bayesian belief networks approach

2019 ◽  
pp. 91-116
Author(s):  
Van Truong Luu ◽  
Soo-Yong Kim ◽  
Nguyen Van Tuan ◽  
Stephen O. Ogunlana
Keyword(s):  
Risk Management ◽  
Construction Industry ◽  
Management Practices ◽  
Bayesian Belief Networks ◽  
Belief Networks

Use of Bayesian Belief Networks for risk management in energy distribution

2004 ◽  
pp. 814-818
Author(s):  
Gilles Deleuze ◽  
Hélène Bertin ◽  
Anne Dutfoy ◽  
Sandrine Pierlot ◽  
Olivier Pourret
Keyword(s):  
Risk Management ◽  
Energy Distribution ◽  
Bayesian Belief Networks ◽  
Belief Networks

Quantitative modeling and analysis of supply chain risks using Bayesian theory

2014 ◽  
Vol 25 (5) ◽  
pp. 631-654 ◽  
Author(s):  
Fazleena Badurdeen ◽  
Mohannad Shuaib ◽  
Ken Wijekoon ◽  
Adam Brown ◽  
William Faulkner ◽  
...  
Keyword(s):  
Risk Management ◽  
Management Practices ◽  
Back Propagation ◽  
Bayesian Belief Networks ◽  
Risk Identification ◽  
Bayesian Theory ◽  
Risk Modeling ◽  
Content Type ◽  
Modeling And Analysis ◽  
Qualitative Approaches

Purpose – Globally expanding supply chains (SCs) have grown in complexity increasing the nature and magnitude of risks companies are exposed to. Effective methods to identify, model and analyze these risks are needed. Risk events often influence each other and rarely act independently. The SC risk management practices currently used are mostly qualitative in nature and are unable to fully capture this interdependent influence of risks. The purpose of this paper is to present a methodology and tool developed for multi-tier SC risk modeling and analysis. Design/methodology/approach – SC risk taxonomy is developed to identify and document all potential risks in SCs and a risk network map that captures the interdependencies between risks is presented. A Bayesian Theory-based approach, that is capable of analyzing the conditional relationships between events, is used to develop the methodology to assess the influence of risks on SC performance Findings – Application of the methodology to an industry case study for validation reveals the usefulness of the Bayesian Theory-based approach and the tool developed. Back propagation to identify root causes and sensitivity of risk events in multi-tier SCs is discussed. Practical implications – SC risk management has grown in significance over the past decade. However, the methods used to model and analyze these risks by practitioners is still limited to basic qualitative approaches that cannot account for the interdependent effect of risk events. The method presented in this paper and the tool developed demonstrates the potential of using Bayesian Belief Networks to comprehensively model and study the effects or SC risks. The taxonomy presented will also be very useful for managers as a reference guide to begin risk identification. Originality/value – The taxonomy developed presents a comprehensive compilation of SC risks at organizational, industry, and external levels. A generic, customizable software tool developed to apply the Bayesian approach permits capturing risks and the influence of their interdependence to quantitatively model and analyze SC risks, which is lacking.

Regression analysis of the influence of demographic characteristics using risk management practices within South African small and medium construction enterprises

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Berenger Yembi Renault ◽  
Justus Ngala Agumba ◽  
Nazeem Ansary
Keyword(s):  
Risk Management ◽  
Regression Analysis ◽  
Construction Industry ◽  
South African ◽  
Management Practices ◽  
Action Planning ◽  
Developed Countries ◽  
Risk Identification ◽  
Demographic Characteristics ◽  
Content Type

Purpose Demographics are perceived to influence risk management practices (RMPs) in construction. However, empirical evidence supporting this perception is lacking in the South African Construction Industry (SACI), especially within small and medium enterprises (SMEs). This study, therefore, aims to investigate the influence of demographic characteristics on RMPs. Design/methodology/approach This study followed a positivist research philosophy, using a questionnaire survey for data collection. In total, 225 questionnaires were distributed, of which 187 were returned from conveniently sampled respondents, which included owners and senior managers of construction SMEs organizations in Gauteng province in South Africa (SA). In total, 181 questionnaires were usable, yielding a response rate of 80.44%. Data from the survey were analyzed using descriptive and inferential statistics i.e. multiple regression analysis (MRA). The outputs were represented using percent and regression coefficients values, respectively. Findings In total, 42 practices were established from the literature review and grouped into 9 major RMPs. The data analysis suggested that understanding the organizational environment, defining objectives, resource requirements, risk measurement, risk identification, risk assessment, risk response and action planning, communication and monitoring and review are reliable and valid practices. Findings from MRA established that demographic characteristics i.e. experience in the construction industry (CI), education level and the number of employees in the organization are not good predictors to determine the use of RMPs. Research limitations/implications The study was limited to the data acquired from the SACI and to a lesser extent, construction SMEs in Gauteng. Therefore, the findings cannot be generalized to all SMEs in SA. Though neighboring and developing countries can use the RMPs identified in this study, the results cannot be directly used in developed countries without adequate substantiation. Practical implications The current study provides useful information to assist construction organizations to pay more attention to risk management implementation. The RMPs established in this paper are reliable and valid in projects undertaken by SMEs, and therefore, may be used by top management and/or the risk task team of these enterprises for effective project risk management. Originality/value The study presents findings of an investigation of the influence of demographics on RMPs from the perspectives of construction SMEs, an area less explored. This work advances knowledge of RMPs in the SME sector. It, therefore, adds value to researchers and industry practitioners on the theme where no agreement has been attained relating to key factors and practices that should constitute a risk management model.

An analysis of risk management in practice: the case of Ghana’s construction industry

2015 ◽  
Vol 13 (2) ◽  
pp. 240-259 ◽  
Author(s):  
Adwoa Boadua Yirenkyi-Fianko ◽  
Nicholas Chileshe
Keyword(s):  
Risk Management ◽  
Construction Industry ◽  
Management Practices ◽  
Perceived Benefits ◽  
Scoring Method ◽  
Cross Sectional ◽  
Content Type ◽  
Private And Public ◽  
Internal Benchmarking ◽  
Project Objectives

Purpose – The purpose of this paper is to report the findings of research into the levels of awareness, usage and benefits of risk assessment and management practices (RAMP) within the construction industry in Ghana. Design/methodology/approach – The study was conducted through a structured questionnaire administered to 103 construction professionals practising with construction client (private and public), consultant and contractor organisations within the Ghanaian construction industry. The results were analysed to establish the current levels of awareness, usage and perceived benefits of risk management practices. Survey response data were subjected to descriptive statistics; subsequently, ANOVA and other non-parametric tests were used to examine the differences in the levels of agreement of the perceived benefits. Findings – This study illustrates that although the majority of the respondents are aware of RAMP, some professionals found the process not to be formal. Relative to the benefits, there was a disparity in the ranking of agreement scores on two of the eight benefits among the respondents in relation to “product to the required quality” and “reduction in contract claims”. However, they all agreed on “improved team morale” as the most important benefits. Research limitations/implications – The research limitation of the study is that the cross-sectional data made it difficult to generalise the findings. Geographically, only respondents from construction organisations in the Greater Accra Region were considered. However, it is recommended that future work on RAMP be extended to cover all the regions of the country. Practical implications – The findings of the study provide practical for organisations to measure the benefits and capture the awareness of risk management practices through the provision of a framework based on an index and scoring method. This can be used by senior management in assessing the current benefit levels within projects “internal benchmarking” and has potential for external benchmarking purposes. Furthermore, through education and training, both formal and informal process including more information and provision of expertise within RAMP could enhance the levels of awareness. Originality/value – Little is known about the current levels of awareness, usage and benefits of risk management among Ghanaian construction organisations, and this study provides some insights and deepening our understanding on the uptake and perceived benefits of RAMP among construction professions in Ghana. These findings may help construction practitioners in having an increased awareness of risk management practices, and this can further lead to a higher uptake and usage resulting in reaping the advocated benefits of the implementing risk management practices such as achievement of project objectives of time, cost and quality, as well as enhanced decision-making processes.

Measuring project risk management process for construction contractors with statement indicators linked to numerical scores

2010 ◽  
Vol 17 (4) ◽  
pp. 336-351 ◽  
Author(s):  
Grant Kululanga ◽  
Witness Kuotcha
Keyword(s):  
Risk Management ◽  
Construction Industry ◽  
Management Practices ◽  
Project Risk Management ◽  
Management Process ◽  
Project Risk ◽  
Content Type ◽  
Management Processes ◽  
Risk Management Process ◽  
Sub Saharan

PurposeThere is relatively low implementation of formal project risk management methods in practice, leading to the construction industry consistently suffering from poor project performance. This study aims to ascertain the extent to which current project risk management practices are used by construction contractors in one of the countries of the sub‐Saharan region – Malawi.Design/methodology/approachA management process tool with statement indicators linked to numerical scores was conceived that characterised a series of steps of project risk management process. To ascertain the degree to which project risk management processes were used, a questionnaire survey was employed. Data were elicited from registered Malawian construction contractors on the elements underlining a series of steps of project risk management process as espoused by the literature. Out of 84 sampled construction contractors, 51 completed questionnaires were received.FindingsApart from large‐sized and more experienced construction contractors, all the small and medium‐sized construction contractors – which constitute the largest proportion of the construction industry – were characterised by a low implementation of the various required steps for the project risk management process. The application of project risk management processes was significantly influenced by the various categories of size and experience of the surveyed construction contractors at p<0.01. Furthermore, contingence planning within the series of steps of project risk management process featured highly among the surveyed construction contractors. The majority of the variables under the series of steps of project risk management process were positively and significantly linked to progression in size and experience of construction contractors at p<0.01.Research limitations/implicationsThe study forms the basis for further research; replication of this study to other parts of world about how the actual implementation of the series of steps of project risk management process is undertaken could yield rich lessons for the construction industry.Practical implicationsThe intentional move by industry towards measuring management processes as a precursor to uncovering the root causes that underlie project success or failure to provide quick feedback for remedial action is supported by an approach such as this.Originality/valueThe originality of this paper lies in its uniqueness for a systematic approach to quantifying the project risk management processes with the view to understanding the implementation behaviours of construction contractors in one country in the sub‐Saharan region.

scholarly journals Evaluation of Risk Management Practices in Construction Projects in Rwanda

2019 ◽  
Vol 8 (2) ◽  
pp. 405-411
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Construction Industry ◽  
Construction Projects ◽  
Management Practices ◽  
Skills Transfer ◽  
Related Factors ◽  
Computer Based ◽  
Personal Skills ◽  
Physical Construction

This research found that the Rwanda construction Industry is faced with critical risk management practices on construction projects. This evaluation has identified the high likelihood of construction failures that fall under logistics, physical, construction, subcontractors, and design related factors. Risks wither remedial or by mitigation associated with the criteria of risk factors are frequently averaged, and certainly used to identify some risk factors it does not identify all of the problems that can result in failure. Similarly, the findings indicate that the most common used analysis techniques were expert systems which include software package, decision support system and computer-based analyses techniques, direct judgement using experience and personal skills, transfer or sharing risk to/with other parts and comparing analysis which means comparing similar projects with similar conditions

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