A stakeholder-based risk assessment and intervention framework for international construction projects

Purpose The purpose of this paper is to construct a two-stage risk management framework for international construction projects based on the meta-network analysis (MNA) approach. A plethora of international construction studies seems to assume risks as independent and therefore, risk intervention strategies are usually critiqued as ineffective. Design/methodology/approach In the risk assessment stage, a multi-tiered risk network structure was developed with the project objectives, risk events, risk factors and stakeholders, and critical risk factors were selected based on a series of calculations. In the risk intervention stage, targeted risk intervention strategies were proposed for stakeholders based on the results of the first stage. A highway construction project in Eastern Europe was selected as a case study. Findings The results showed that 17 risk factors in three categories – external, stakeholder-related and internal – are critical, and the project manager, construction management department, supplier and contract department are the most critical stakeholders that affect the entire project performance. Based on the critical risk factors and project stakeholders, targeted risk intervention strategies were proposed. The risk assessment results of MNA were found to be more reliable and consistent with the project conditions than the risk matrix method; the risk intervention strategies of MNA can effectively address project objectives. Originality/value This study modeled risk priorities based on risk associations and put forward a new method for risk management, supplementing the body of knowledge of international construction. The results of this study are of critical importance in management practices.

[1]  Makarand Hastak,et al.  ICRAM-1: Model for International Construction Risk Assessment , 2000 .

[2]  T. Saaty Fundamentals of the analytic network process — Dependence and feedback in decision-making with a single network , 2004 .

[3]  Patrick X.W. Zou,et al.  Fuzzy Analytical Hierarchy Process Risk Assessment Approach for Joint Venture Construction Projects in China , 2007 .

[4]  Seung Heon Han,et al.  A web-based integrated system for international project risk management , 2008 .

[5]  R. Marques,et al.  Revisiting the Strengths and Limitations of Regulatory Contracts in Infrastructure Industries , 2009 .

[6]  Irem Dikmen,et al.  Risk assessment of international construction projects using the analytic network process , 2009 .

[7]  Aminah Robinson Fayek,et al.  Fuzzy Reliability Analyzer: Quantitative Assessment of Risk Events in the Construction Industry Using Fuzzy Fault-Tree Analysis , 2011 .

[8]  Irem Dikmen,et al.  Identification of Risk Paths in International Construction Projects Using Structural Equation Modeling , 2011 .

[9]  Paul Chinowsky,et al.  Project Network Interdependency Alignment: New Approach to Assessing Project Effectiveness , 2011 .

[10]  Hui Zhang,et al.  Risk Assessment Methodology for a Deep Foundation Pit Construction Project in Shanghai, China , 2011 .

[11]  M. Kummert,et al.  Designing net-zero energy buildings for the future climate, not for the past , 2012 .

[12]  Enrico Zio,et al.  Network theory-based analysis of risk interactions in large engineering projects , 2012, Reliab. Eng. Syst. Saf..

[13]  Michael McAleer,et al.  Risk Measurement and Risk Modelling using Applications of Vine Copulas , 2014 .

[14]  Khaled Mahmoud El-Gohary,et al.  Factors Influencing Construction Labor Productivity in Egypt , 2014 .

[15]  John E. Schaufelberger,et al.  Risk Management Strategies for Privatized Infrastructure Projects: Study of the Build–Operate–Transfer Approach in East Asia and the Pacific , 2014 .

[16]  Liang Ma,et al.  Metanetwork Analysis for Project Task Assignment , 2015 .

[17]  Chao Fang,et al.  A Framework for the Modeling and Management of Project Risks and Risk Interactions , 2015 .

[18]  Hazar Dib,et al.  Structural Equation Model of Building Information Modeling Maturity , 2016 .

[19]  Osama Moselhi,et al.  Decision Support Model for Integrated Risk Assessment and Prioritization of Intervention Plans of Municipal Infrastructure , 2016 .

[20]  Djoen San Santoso,et al.  Analyzing Delays of Road Construction Projects in Cambodia: Causes and Effects , 2016 .

[21]  Peter E.D. Love,et al.  Dynamic Modeling of Workforce Planning for Infrastructure Projects , 2016 .

[22]  Xianbo Zhao,et al.  Risk Paths in International Construction Projects: Case Study from Chinese Contractors , 2016 .

[23]  Panayiotis Kotzanikolaou,et al.  Time-based critical infrastructure dependency analysis for large-scale and cross-sectoral failures , 2016, Int. J. Crit. Infrastructure Prot..

[24]  Bon-Gang Hwang,et al.  A fuzzy synthetic evaluation approach for risk assessment: a case of Singapore's green projects , 2016 .

[25]  R. Pal,et al.  The critical factors in managing relationships in international engineering, procurement, and construction (IEPC) projects of Chinese organizations , 2017 .

[26]  Mehdi Tavakolan,et al.  Fuzzy Weighted Interpretive Structural Modeling: Improved Method for Identification of Risk Interactions in Construction Projects , 2017 .

[27]  Peter E.D. Love,et al.  Re-Examining the Association between Quality and Safety Performance in Construction: From Heterogeneous to Homogeneous Datasets , 2017 .

[28]  Shing Chih Tsai,et al.  A simulation-based multi-objective optimization framework: A case study on inventory management , 2017 .

[29]  Youngsoo Jung,et al.  International Project Risk Management for Nuclear Power Plant (NPP) Construction: Featuring Comparative Analysis with Fossil and Gas Power Plants , 2017 .

[30]  Pin-Chao Liao,et al.  Systematic Risk Assessment and Treatment Framework of International Construction Project Based on Dynamic Meta Network Analysis , 2018 .

[31]  Tao Wang,et al.  A meta-network-based risk evaluation and control method for industrialized building construction projects , 2018, Journal of Cleaner Production.

[32]  Ali Mostafavi,et al.  Performance Assessment in Complex Engineering Projects Using a System-of-Systems Framework , 2018, IEEE Systems Journal.

[33]  H. Chong,et al.  A Bibliometric Review on Risk Management and Building Information Modeling for International Construction , 2018 .

[34]  Pavel Praks,et al.  Advanced iterative procedures for solving the implicit Colebrook equation for fluid flow friction , 2018, Advances in Civil Engineering.