Contractors’ Claims Insurance: A Risk Retention Approach

The negative effects of claims and disputes have serious negative impacts on contracting parties, their projects, the construction industry as a whole, and consequently on the nation’s economy. This paper explores a method for mitigating the negative effects associated with contractors’ claims and disputes using a risk retention approach. This method can help contractors in getting early relief from the financial and economic burdens of construction claims. To meet the goals and objectives of this study, the writers have: (1) investigated the feasibility of pricing insurance premiums using the options pricing theory; (2) explored the applicability of modeling the options pricing theory using Monte Carlo simulation; (3) set up the principles required for optimal design of a risk retention group for construction claims; and (4) tested the possible impact of the newly developed risk retention group using historic data of 10,193 construction projects spanning over 12 different California districts. Pursuant to this study, it was verified that construction claims satisfy the required principles for insurance. Also, based on the used testing framework, the developed risk retention group for construction claims has been proved a success from the insured and insurer sides. It is the writers’ hope that this study will lay the basis for a leading risk management technique that could be extended over the nation for the benefit of relieving the negative consequences associated with lengthy claims and disputes resolution in the construction industry.     

Multicriteria Financial Portfolio Risk Management for International Projects

While opportunities for international construction firms have been growing with globalization, the risks involved with international construction projects are increasing significantly. However, due to the complex skein of various risks, it is difficult to evaluate the severity of risk variables at the corporate level and to examine key success factors in an attempt to maximize a firm’s value under the challenging global business environment. This paper focuses on a financial portfolio risk management for international projects to integrate the risk hierarchy of both individual projects and at the corporate level, which applies a multicriteria decision making method to maximize the total value of firms. To demonstrate the approach, a case study is conducted based on real projects collected from a multinational general contractor. Finally, we present lessons learned as well as guidelines for the application of these lessons to future projects through a workshop with industry practitioners.     

Premium-Rating Model for Workers’ Compensation Insurance in Construction

Providing adequate workers’ compensation insurance (WCI) is mandatory by legislation in most countries for employers to hire workers. It is enforced to safeguard the interests of occupational injury victims while eliminating their employers’ financial burden of compensation. WCI’s significance in construction is immeasurable because the construction industry appears to be recording higher injury and fatality rates globally. On the other hand, insurance companies must be meticulous in deciding premiums for WCIs for construction projects. Traditionally, insurers have been adopting the experience modification rating technique for premium-rating of WCI. However, this technique has been proven ineffective for construction applications due to the unique characteristics of construction projects. Hence, a new premium-rating model for construction was developed and tested in the Singapore general insurance industry. The proposed model streamlines structured analyses of project hazards, contractors’ safety management systems, market conditions, and insurers’ internal factors to decide optimal premiums. Moreover, it infuses the partnering notion in WCI for construction. The implementation of the proposed model in the insurance industry would facilitate accident control in the construction industry and thereby loss minimization for insurers.     

Safety Risk Identification and Assessment for Beijing Olympic Venues Construction

New technologies, new materials, and innovative designs have been extensively adopted in Beijing Olympic venues construction. The extreme requirements for time deadline and competition function expose the venues construction to high risks. These risks would potentially bring negative impacts on the site safety performance. Meanwhile, there is a lack of systematic management for safety risks in China’s construction industry, especially for large projects such as the Beijing Olympic venues construction. This paper identifies and assesses safety risk factors inherent in Beijing Olympic venues construction with the involvement of 27 experienced and highly respected experts from government agencies, the construction industry, and academe through brainstorming, workshop discussions, and questionnaire surveys. The finding reveals that more than half of the critical safety risk factors are from contractors and subcontractors such as: lack of emergency response plan and measures; workers’ unsafe operation, and contractors ignoring safety under schedule pressure. Based on these critical safety risks, a risk register is composed and a model is developed in application of the analytic hierarchy process to assess the status of risks on site safety. The model has been attempted in two Olympic venue projects under construction and the validity has been approved. The risk checklist, register, and assessment model developed in the paper were integrated into the risk management system that has been used for Beijing Olympic venues construction.     

Portfolio Cash Assessment Using Fuzzy Systems Theory

Gaps between cash outflows and inflows throughout the life cycle of construction projects can create extended periods of low cash availability for a construction contractor, jeopardizing the financial stability of the business. A number of researchers have therefore attempted to model cash availability at a project level. However, at a firm level, financial stability is more thoroughly examined as a function of the cash flows related to multiple projects. This paper proposes a methodology on the basis of fuzzy systems theory to forecast cash requirements of a portfolio of projects for a construction firm, taking into account the effect of changing portfolio composition on portfolio cash-flow risk. Portfolio cash-flow risk is calculated from a variance matrix created by using covariance among cash flows of pairs of projects. Expert opinions of a group of highway construction contractors regarding project selection, project risk assessment and cash control were collected to create a fuzzy proportional derivative (PD) model that predicts portfolio risk for a construction firm. The model was assessed by the same group of contractors for overall logic (if/then rule base), appropriateness of cash-flow calculations (moving weights of cost categories), and practicality through application on a hypothetical test case. The paper concludes that a fuzzy proportional derivative model can be an effective tool to establish trends in cash-flow availability and risk across a portfolio of construction projects.     

Managing Construction Projects Using the Advanced Programmatic Risk Analysis and Management Model

Risk management is an important part of construction management, yet the risk-based decision support tools available to construction managers fail to adequately address risks relating to cost, schedule, and quality together in a coherent framework. This paper demonstrates the usefulness of the Advanced Programmatic Risk Analysis and Management Model (APRAM) originally developed for the aerospace industry, for managing schedule, cost, and quality risks in the construction industry. The usefulness of APRAM for construction projects is demonstrated by implementing APRAM for an example based on an actual building construction project and comparing the results with other risk analysis techniques. The results show that APRAM simultaneously addresses cost, schedule, and quality risk together in a coherent, probabilistic framework that provides the information needed to support decision making in allocating scarce project resources.     

Single versus Multiple Prime Contracting

Policies regarding public building construction affect the interests of taxpayers, construction authorities, general contractors, specialty contractors, and other stakeholders. At the state level, the debate as to the optimal form such policies should take has become an ongoing struggle among competing interests. This study presents a systematic analysis of the main issues regarding single versus multiple prime contracting with the purpose of providing objective data to illuminate the debate. A statistical analysis of project bids and final costs from a national sample of state construction projects reveals that public construction projects organized with multiple prime contracts tend to have 5% less direct costs than projects using a single prime contractor. Moreover, approximately 80% of these savings are attributable to lower bid costs for multiple prime projects. The results of this study are in agreement with theoretical bidding models and efficient risk allocation models. Theoretical bidding models suggest that, in the absence of disruptions, multiple prime projects should have lower direct costs than single prime jobs. Efficient cost allocation models suggest that when specialty contractors do not bear the risks associated with the single prime contracting method (e.g., bid shopping and payment delays) they are willing to lower their bids, and forego the premium they would normally charge in response to such risks, as seems to be the case in multiple prime jobs.     

Fuzzy Analytical Hierarchy Process Risk Assessment Approach for Joint Venture Construction Projects in China

Research and practice show that construction joint venture (JV) activities in China are opportunities that can bring potential benefits but at the same time may generate many risks. While research has studied these risks and presented useful advice for managing individual risks, the methodologies used to analyze the risks were mainly qualitatively based, and there is a gap in using the quantitative method that can integrate a risk expert’s knowledge to assess the risks associated with JV projects. This paper sets up a hierarchy structure of the risks and then develops a fuzzy analytical hierarchy process (AHP) model for the appraisal of the risk environment pertaining to the JVs to support the rational decision making of project stakeholders. An empirical case study is used to demonstrate the application of the proposed fuzzy AHP model. It is concluded that the fuzzy AHP model is effective in tackling the risks involved in JV projects. The information presented in this paper should be shown to all parties considering JV business opportunities in China, and the proposed approach should be applicable to the research and analysis of risks associated with any type of construction projects.     

Understanding and Improving Your Risk Management Capability: Assessment Model for Construction Organizations

Implementing risk management in construction projects and organizations may bring a number of benefits and therefore it is necessary to have risk management as an integral part of a construction organization’s management practice. The aim of this paper is to develop a risk management maturity assessment model for construction organizations. The paper describes the development process of a Web-based RM3 (risk management maturity model), including its contents, its validation and testing, as well as its applications. The RM3 developed has five attributes namely, management, risk culture, ability to identify risk, ability to analyze risk, and application of standardized risk management process/system. These attributes are measured against four levels: initial, repeated, managed, and optimized. It is found that the proposed RM3 was suitable and useful. Using the RM3, it is found that the Australian construction industry’s overall risk management maturity level was relatively low (where 32% rated at Level 2 and 52% rated at Level 3). Furthermore, it is found that the weakest attribute was “analyzing risks” followed by “application of standardized risk management process.” It is therefore necessary to provide more training on qualitative and quantitative risk analysis to construction personnel and to develop and apply standardized enterprise risk management. It is concluded that the proposed RM3 is suitable for construction organizations to assess their risk management maturity levels and find ways for improvement.     

Political, Economic, and Legal Risks Faced in International Projects: Case Study of Vietnam

The aim of this research is to investigate the political, economic, and legal (PEL) risks faced by foreign firms when undertaking construction projects in Vietnam. The specific objectives are to investigate the types of PEL risks faced and the risk response techniques adopted. The data collection instrument was a questionnaire with open ended questions. The data collection method was in-depth face to face interviews with 18 experts from France, Hong Kong, Malaysia, Singapore, and the United States who have managed construction projects in Vietnam. The major risks faced include corruption, termination of public projects, bureaucratic administrative system to obtain permits and approvals, changing and inconsistent regulations, inadequate legal framework, fluctuation of exchange, and interest and inflation rates. Ways to respond to these risks are recommended by the experts. Foreign firms undertaking construction projects in Vietnam may make use of these findings to identify their PEL risks and determine the appropriate risk response measures to give their projects a higher chance of success.     

Physical Risk Factors and Controls for Musculoskeletal Disorders in Construction Trades

Adoption of the Washington State Ergonomics Rule in 2000 initiated seven different demonstration projects in nine high-risk construction trades. The Ergonomics Rule was repealed in 2003, however valuable cooperative field research was conducted in construction prior to rule dissolution. This paper presents summaries and results of each project with the aim of providing the results to construction professionals and researchers seeking to identify and reduce injury risks and building costs. The projects were organized independently but each with the specific aims of conducting work in conjunction with industry, identifying “hazard zone” risk factors as defined by the rule, and identifying feasible solutions in agreement with company partners to mitigate these risk factors. Musculoskeletal injury risk factors were evaluated by ergonomist field observation and working group analysis. Solutions were developed through field work and consensus agreement with industry and labor representatives. Identified injury risk factors and technically feasible interventions are presented for the following trades: Roofing, residential framing, residential carpet and floor installation, commercial carpentry, commercial laborers, commercial concrete reinforcement, commercial concrete finishing, drywalling, and masonry.     

Probabilistic Approach for Budgeting in Portfolio of Projects

This paper presents a mathematical model for calculating the budgetary impact of increasing the required confidence level in a probabilistic risk assessment for a portfolio of projects. The model provides a rational approach for establishing a probabilistic budget for an individual project in such a way that the budget for a portfolio of projects will meet a required confidence level. The use of probabilistic risk assessment in major infrastructure projects is increasing to cope with major cost overruns and schedule delays. The outcome of the probabilistic risk assessment is often a distribution for project costs. The question is at what level of confidence (i.e., the probability that budget would be sufficient given the cost distribution) should be used for establishing the budget. The proposed method looks at a portfolio of such projects being funded by the same owner. The owner can establish a target probability with respect to its annual budget. The model can help the owner establish confidence level for individual projects and also examine the effect of changing the confidence level of the portfolio budget on the budget and the confidence level of individual projects. The paper is relevant to practitioners because it provides a methodology for establishing confidence levels by the owner agencies in the emerging field of cost risk assessment for infrastructure projects. A numerical example is provided using actual transit project data to demonstrate the model application.     

Empirical Study of Risk Assessment and Allocation of Public-Private Partnership Projects in China

Earlier research studies on public-private partnership (PPP) indicated that an objective, reliable, and practical risk assessment model for PPP projects and an equitable risk allocation mechanism among different parties are crucial to the successful implementation of these PPP projects. However, actual empirical research works in this research area are limited. This paper reports the first stage of a research study, which aims to identify and assess the principal risks for the delivery of PPP projects in China and to address their proper risk allocation between the private and public sectors. An empirical questionnaire survey was designed to examine the relative importance of different risk factors and to analyze the allocation of risk factors to different parties in PPP projects. A total of 580 questionnaires were sent out, and a total of 105 valid responses were obtained for data analysis. The Mann-Whitney U test is employed to investigate whether significant difference in perception existed first between the private and public sectors and second between industrial practitioners and academics in China. The empirical findings show that the three most important risk factors for PPP projects in China are (1)?government intervention; (2)?government corruption; and (3)?poor public decision-making processes. These findings reveal that the Chinese government intervention and corruption may be the major obstacles to the success of PPP projects in China. A major cause for these risks may be attributed to inefficient legislative and supervisory systems for PPP projects in China. After conducting the Mann-Whitney U test on the 105 survey respondents, the empirical findings indicate that the perceptions of all 34 risk factors in China between the private and public sectors were not significantly different. Similarly, there were no significant differences between academics and industrial practitioners except that the former perceived the problem of government corruption to be more severe than did the latter. For risk allocation, the empirical results indicate that the public and private sectors were in general consensus with most of the risks identified. The major risks that the public sector preferred to accept are within the systematic risk category, especially political, legal, and social risks. The private sector preferred to retain the principal risks within the specific project risk category, especially construction, operation, and relationship risks, in addition to economic risks within systematic risk category. The remaining risk, environment risk, is preferred to be shared between the two sectors. This research study enables international construction companies to better understand how risks should be assessed and allocated for PPP projects in China. It also assists in risk response planning and control for future PPP projects in China.     

Bootstrap Technique for Risk Analysis with Interval Numbers in Bridge Construction Projects

Bridges are principal and vital transportation structures. If risk management is not considered in bridge construction projects, objectives cannot be delivered on time, on budget, or with suitable quality results. Risk data set sizes and experts’ judgments are not usually sufficient for analyzing significant risks in bridge construction projects; moreover, the statistical distributions for risk parameter estimates are usually unknown. Standard parametric statistical techniques cannot provide appropriate solutions for cases with small data sets or unknown distributions. This paper proposes a new hybrid approach by using a nonparametric resampling technique and interval computations for risk analysis, in particular, for bridge construction projects. Bootstrap techniques produce more accurate inferences for comparing parametric techniques and are an alternative when the underlying parametric assumptions are not considered. Increasingly, because of the complexity and uncertainty in decision making at bridge projects, it is easier or more natural to provide interval values for parts or all of decision-making judgments. Furthermore, the goal of reducing standard deviations for both risk probability and risk impact compared with the conventional approach is another conclusion of this paper. The proposed approach is applied to a case in Iran to show the validity of the approach.     

Life-Cycle Management of Construction Projects Based on Virtual Prototyping Technology

Life-cycle management (LCM) has been employed in the management of construction projects for many years in order to reduce whole life cost, time, risk and improve the service to owners. However, owing to lack of an effective information sharing platform, the current LCM of construction projects is not effectively used in the construction industry. Based upon the analysis of the information flow of LCM, a virtual prototyping (VP)-based communication and collaboration information platform is proposed. Following this, the platform is customized using DASSAULT software. The whole process of implementing the VP-based LCM of projects is analyzed via the application to a real-life construction project. The advantages of implementing a VP-based LCM are also discussed and, from a simple case study, it is demonstrated that the VP-based communication and collaboration information platform is an effective tool to support the LCM of construction projects.     

Transportation Agency Use of Owner-Controlled Insurance Programs

Controlled insurance programs are highly efficient risk control mechanisms. With a controlled insurance program, the interest of the owner, designer, construction manager, contractors, and consultants are covered by one insurance arrangement. This paper describes the current state of practice regarding the use of owner-controlled insurance programs by transportation agencies. Departments of transportation that have used controlled insurance programs for their major projects (construction costs greater than $100 million) report that they were satisfied with the results. But contractors are cautious because, when an owner’s controlled insurance program administrator fails to perform, it is the contractor who incurs the residual consequences of increased business cost, and those consequences can extend far into the future.     

Ontology for Relating Risk and Vulnerability to Cost Overrun in International Projects

Risk management is about identifying risks, assessing their impacts, and developing mitigation strategies to ensure project success. The difference between the expected and actual project outcomes is usually attributed to risk events and how they are managed throughout the project. Although there are several reference frameworks that explain how risks can be managed in construction projects, a major bottleneck is the lack of a common vocabulary for risk-related concepts. Poor definition of risk and patterns of risk propagation in a project decrease the reliability of risk models that are constructed to simulate project outcomes under different risk occurrence scenarios. This study aims to extend previous studies in risk management by presenting an ontology for relating risk-related concepts to cost overrun. The major idea is that cost overrun depends on causal relations between various risk sources (namely, risk paths) and sources of vulnerability that interfere with these paths. Ontology is used to develop a database system that represents risk event histories of international construction projects and to construct a model for estimation of cost overrun. It will form the basis of a multiagent system that can be used to simulate the negotiation process among project participants about sharing of costs considering the risk allocation clauses in the contract, sources of vulnerability, and causal relations between risk events and their impacts. The ontology is constructed by interaction with Turkish contractors working in international markets and extensive literature review on risk-related concepts. The validation test results provide evidence that the ontology is fairly effective to help Turkish contractors to assess cost overrun by considering sources of vulnerability and risk in international construction projects.     

Risk-Based Safety Impact Assessment Methodology for Underground Construction Projects in Korea

Safety of construction projects may be affected by various factors such as types and scale of projects, construction methods, safety management procedure, climate, site conditions, etc. Among them is the quality of design in relation to safety. Presently, however, designers typically are not involved in construction safety. They are often uncertain of their responsibilities in relation to construction safety and fail to be responsible for avoiding or reducing safety-related risks. In this study, the concept of safety impact assessment to achieve “design-for-safety” in the design phase is introduced. For this purpose, a safety impact assessment model was devised, and a methodology using the risk-based safety impact assessment approach for open-cut type underground construction projects in Korea is suggested. The suggested methodology includes a safety information survey, classification of safety impact factors caused by design and construction, and quantitative estimation of magnitude and frequency of safety impact factors. A checklist which can be easily used for assessing the safety performance of design products is also proposed. A real-world case study on the safety impact assessment of a subway construction project in Korea is also provided in the paper.     

Option Coverage Techniques for Environmental Projects

Environmental firms are faced both with the prospect of liability claims that may arise long after activities at a project have been completed and the impact of catastrophic events that can severely threaten a firm’s financial resources. The inadequacy in most cases of site-specific data, the lack of scientific understanding of the complex processes’ interaction at a contamination event, and the limited cost-effective technological solutions that exist compound the problem. This condition has led many environmental firms to explore alternatives for risk management through the use of innovative insurance policies, training and selection of specialized staff for high-risk projects, careful screening of potential projects and customers, self-funded risk pools, partial involvement in projects as members of a consortium, and option payments. Payment of a one-time amount for the option to limit a firm’s maximum liability to a fixed amount has been used in many cases to facilitate financial transactions, mergers, and acquisitions and to set well-defined limits to future risks. This study focuses on the alternative of option payment as a method for managing risk. Two general methods to evaluate the maximum option amount are presented and illustrated with the use of a hypothetical numerical example. Consideration of an option alternative makes management teams sharply aware of future unknown remediation or liability costs and guides them in bracketing the range of these costs. Correspondingly, according to an environmental firm’s risk tolerance, limits can be set on future potential liabilities and optioning out of payment.     

Downside Risks in Construction Projects Developed by the Civil Service: The Case of Spain

The purpose of the work summarized here was to improve the efficiency of the construction project management processes performed by the Spanish civil service, identifying and analyzing the main risks in these kinds of projects, and also establishing potential risk responses. The scope of this effort included a list of 96 risk events, categorized and prioritized first by impact, then by frequency. The most relevant ones are related to issues such as an inadequate prequalification system, insufficient training of public servants, or political considerations prevailing over real needs, among others. A total of 117 potential risk responses were identified, categorized, and prioritized by potential efficiency and difficulty of implementation. Each risk event was associated to a set of potential responses. The paper includes the top 15 risk events with its main potential responses, including qualitative assessments. A survey was carried out among Spanish public servants working in construction projects, to validate risk identification and to obtain a qualitative assessment. Moreover, a Delphi analysis was developed to validate the risk response identification and obtain a qualitative assessment. One of the conclusions is that small and medium-sized Spanish civil service agencies should work toward increasing their maturity in managing projects and, mainly, project risks.