Search results

Residential projects frequently suffer from low-risk management (RM) implementation and, consequently, are more likely to fail to meet performance objectives. With RM becoming an essential requirement, the purpose of this study is to investigate RM implementation in terms of status, risk analysis techniques, barriers and impact of RM on residential projects across the USA.

Data were collected from 105 general contractors who had completed 3,265 residential projects in the past five years. Data collection was through a US national survey sent out through emails between August and November 2019 to residential general contractor firms. The firms were randomly selected from national organizations, such as the National Association of Home Builders, Associated General Contractors of America and Associated Builders and Contractors.

The analysis indicated that RM implementation is still extremely low at 22.27%. However, there was an increase in RM implementation as the cost and duration of projects increased. Direct judgment is the most used technique. Also, the one-sample t-test indicated that the barriers have a significant impact on RM implementation. Multinomial logistic regression results indicated that the impact of lack of management support, lack of money or budget, the complexity of analytical tools and lack of time to perform analysis predict the impact on the overall performance of construction projects. Overall, the results provide empirical evidence, which can influence management’s decision-making regarding RM and improve implementation in residential projects.

There is a lack of empirical evidence on the impact of barriers to RM implementation on the performance of construction projects. This research contributes to the body of knowledge by bridging this gap through a robust analysis of data collected from real residential projects.

As the complexity and uncertainty of megaprojects make it difficult for traditional management models to address the difficulties, this paper aims to design a performance incentive contract through IT applications, thereby promoting the formation of an information-based governance mechanism for megaprojects and facilitating the transformation and upgrading of the construction management model of megaprojects to informatisation.

This paper introduced IT applications into the performance assessment and used the proportion of IT applications replacing traditional manual management as a variable. It analysed different replacement ratios to obtain the optimal solution for the change of contractors behaviours and promote the optimal performance incentive for the informatisation in megaprojects.

The results show that under the condition of the optimal replacement ratio, achieving the optimal state of a mutual win-win situation is possible for the benefit of both sides. The counter-intuitive finding is that the greater the replacement ratio is not, the better, but those other constraints are also taken into account.

This study enriched the research of the performance configuration incentive from a practical perspective. It extended the research framework of IT incentive mechanisms in the governance of megaprojects from a management theory perspective. It clarified the role of IT applications in incentive mechanisms and the design process of optimal incentive contracts under different performance incentive states. The incentives made the contractors work harder to meet the owner's requirements, and it could improve the efficiency of megaprojects, thus better achieving megaproject objectives.

The purpose of this study is to develop a new hybrid method that combines interpretative structural modeling (ISM) and matrix cross-impact multiplication applied to classification (MICMAC) to investigate the influencing factors of sustainable infrastructure vulnerability (SIV).

(1) Literature review and case study were used to identify the possible influencing factors; (2) a semi-structured interview was conducted to identify representative factors and the interrelationships among influencing factors; (3) ISM was adopted to identify the hierarchical structure of factors; (4) MICMAC was used to analyze the driving power (DRP) and dependence power (DEP) of each factor and (5) Semi-structured interview was used to propose strategies for overcoming SIV.

Results indicate that (1) 18 representative factors related to SIV were identified; (2) the relationship between these factors was divided into a five-layer hierarchical structure. The 18 representative factors were divided into driving factors, dependent factors, linkage factors and independent factors and (3) 12 strategies were presented to address the negative effects of these factors.

The findings illustrate the factors influencing SIV and their hierarchical structures, which can benefit the stakeholders and practitioners of an infrastructure project by encouraging them to take effective countermeasures to deal with related SIVs.

The aim of this paper is to study the effect of strategic and project related potential risks on project delivery in Qatar. Two objectives have been defined. The first is to identify potential risk indicators (manifest variables) and categorize them (constructs/latent variables) based on a literature review, while the second is to examine and rank the relationships between the indicators and constructs by developing a structural equation model.

Twenty-five indicators were identified from the literature review and categorized into five groups. To collect the data, an online questionnaire was distributed in Qatar, and 116 responses were obtained. Structural equation modeling (SEM) was used to examine the model. The model that was developed based on the research hypothesis met goodness-of-fit, reliability and validity requirements.

The results showed that all constructs contributed well to the model and that the project parties (PPs) have the highest contribution with an effect weight of 0.209 followed by economic and legal (EL) conditions with an effect weight of 0.205. Site and safety (SS) conditions were third with an effect weight of 0.200 while environmental, natural and technological (ENT) conditions were fourth with an effect weight of 0.1989. The last ranked construct is political and social (PS) conditions with an effect weight of 0.186. Based on the outcome of the SEM, recommendations were provided to industry professionals in Qatar about mitigating the impact of potential risks on construction project.

To the authors' best knowledge, this is the first study to quantify the effects of strategic and project related risks on a construction project using SEM, considering the risk management indicators of SS, EL, ENT, PS in Qatar. The study's practical implications are to enlarge the project's risk management plan by considering the strategic and project related risks to enhance the project performance for the cost overrun and delay. The study is intended for construction projects in Qatar, but it can easily be adapted to other parts of the world given the local circumstances.

This study aims to reduce the construction safety accidents of prefabricated building (PB) projects, improve the efficiency and effectiveness of safety supervision by government departments, and provide theoretical reference for improving the safety supervision system of PB construction.

Considering the information asymmetry between government supervision departments and construction contractors and the interactive relationship between the two parties under bounded rationality, we propose an evolutionary game model for the construction safety dynamic supervision of PBs and analyze the evolutionary strategy of the game. The system dynamics (SD) method is used to simulate and analyze the evolutionary game process under a dynamic supervision strategy and the adjustment of external variables.

The cost difference between the government's strong and weak supervision, the construction contractor's additional expenditure for strengthening safety management, and other factors affect system stability. The government can dynamically adjust the penalties based on the construction contractor's subjective willingness to ignore safety management and further adjust their rate of change based on the completion of the supervision goals to improve the efficiency and effectiveness of construction safety supervision.

This study makes contributions in two areas. Through a combination of SD and an evolutionary game, it provides new insights into the strategic choice of the main body related to PB construction safety. Additionally, considering the nonlinear characteristics of construction safety supervision, it provides useful universal suggestions for PB construction safety.

This research uses contingency theory and Venkatraman’s concept of moderating fit to explore how key project stakeholders (clients, consultants and suppliers) influence project performance from the perspective of small and medium contractors in the Jordanian construction industry.

An anonymous structured survey was performed comprising 200 key informants including senior project managers, construction managers, engineers and general managers working for small- and medium-sized contractors in the Jordanian construction industry. The Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to analyse the data.

The results of this study show that consultant-related factors (quality of documentation produced, ability to communicate and technical competencies) are perceived to have the most significant direct effect on project performance, followed by client-related factors (payment promptness, decision certainty and documentation control) and supplier-related factors (supplier performance, defects control and logistics management).

The results contribute new theoretical, empirical and practical insights to existing construction project performance research by highlighting the key performance factors which need to be managed for each stakeholder group to ensure effective project performance from a small- and medium-sized contractor perspective.

The construction industry has long been criticized for unethical conduct. The owner usually manages the contractor's opportunistic behaviors by employing a professional supervisor, but there is a risk of covert collusion between the supervisor and contractor. Based on the principal–agent theory and collusion theory, this paper aims to investigate optimal collusion-proof incentive contracts.

This paper presents a game-theoretic framework comprising an owner, supervisor and contractor, who interact and pursue maximized self-profits. Built upon the fixed-price incentive contract, cost-reimbursement contract, and revenue-sharing contract, different collusion-proof incentive contracts are investigated. A real project case is used to validate the developed model and derived results.

This paper shows that the presence of unethical collusion undermines the owner's interests. Especially, the possibility of agent collusion may induce the owner to abandon extracting quality information from the supervisor. Furthermore, information asymmetry significantly affects the construction contract selection, and the application conditions for different incentive contracts are provided.

This study still has some limitations that deserve further exploration. First, this study explores contractor–supervisor collusion but ignores the possibility of the supervisor abusing authority to extort the contractor. Second, to focus on collusion, this paper ignores the supervision costs. What's the optimal supervision effort that the owner should induce the supervisor to exert? Finally, this paper assumes that the colluders involved always keep their promises. However, what if the colluders may break their promises?

Several collusion-proof incentive contracts are explored in a project management setting. The proposed incentive contracts can provide the project owner with effective and practical tools to inhibit covert collusion in construction management and thus safeguard construction project quality.

This study expands the organization collusion theory to the field of construction management and investigates the optimal collusion-proof incentive contracts. In addition, this study is the first to investigate the effects of information asymmetry on contract selection.

Uncertainty management (UM) in projects has been a point of attention for researchers for many years. Research on UM has mainly been aimed at uncertainty analyses in the front-end and managing uncertainty in the construction phase. In contrast, UM components in the design phase have received less attention. This research aims to improve knowledge about the key components of UM in the design phase of large road projects.

This study adopted a literature review and case study. The literature review was used to identify relevant criteria for UM. These criteria helped to design the interview guide. Multiple case study research was conducted, and data were collected through document study and interviews with project stakeholders in two road projects. Each case's owners, contractors and consultants were interviewed individually.

The data analysis obtained helpful information on the involved parties, process and exploit tools and techniques during the design phase. Johansen's (2015) framework [(a) human and organisation, (b) process and (c) tools and techniques)] was completed and developed by identifying relevant criteria (such as risk averse or risk-taker, culture and documentation level) for each component. These criteria help to measure UM performance. The authors found that owners and contractors are major formal UM actors, not consultants. Empirical data showed the effectiveness of Web-based tools in UM.

The studied cases were Norwegian, and this study focussed on uncertainties in the project's design phase. Relevant criteria did not cover all the criteria for evaluating the performance of UM. Qualitative evaluation of criteria allows further quantitative analysis in the future.

This paper gave project owners and managers a better understanding of relevant criteria for measuring UM in the owners and managers' projects. The paper provides policy-makers with a deeper understanding of creating rigorous project criteria for UM during the design phase. This paper also provides a guideline for UM in road projects.

This research gives a holistic evaluation of UM by noticing relevant criteria and criteria's interconnection in the design phase.

Power plant projects are very complex and encounter serious cost overruns worldwide. Their cost overrun risks are not independent but interrelated in many cases, having structural relationships among each other. The purpose of this study is, therefore, to establish the complex structural relationships of risks involved.

In total, 76 published articles from the previous literature are reviewed using the content analysis method. Three risk networks in different phases of power plant projects are depicted based on literature review and case studies. The possible methods of solving these risk networks are also discussed.

The study finds critical cost overrun risks and develops risk networks for the procurement, civil and mechanical works of power plant projects. It identifies potential models to assess cost overrun risks based on the developed risk networks. The literature review also revealed some research gaps in the cost overrun risk management of power plants and similar infrastructure projects.

This study will assist project risk managers to understand the potential risks and their relationships to prevent and mitigate cost overruns for future power plant projects. It will also facilitate decision-makers developing a risk management framework and controlling projects’ cost overruns.

The study presents conceptual risk networks in different phases of power plant projects for comprehending the root causes of cost overruns. A comparative discussion of the relevant models available in the literature is presented, where their potential applications, limitations and further improvement areas are discussed to solve the developed risk networks for modeling cost overrun risks.

The modern construction industry is highly competitive and cost driven, with tangible adversarial relationships between projects' contractual parties at individual and organisational levels; there are conflict of interest as people to survive. Accordingly, team leaders on construction megaprojects (CMPs) in multinational engineering organisations strive to survive in such competitive markets. The research’s aim is to investigate relationships between team leaders' tenure and management styles towards professional subordinates on CMPs and elaborate how corporate governance can optimally address this conflict of interest and adversarial relationships.

The research methodology adopted processes of inducting theory using case studies. A qualitative approach was adopted as a primary data collection and analysis source. It involved case studies through primary data collection in semi-structured face-to-face interviews with 38 professional subordinates (interviewees) to discuss impacts of team leaders' tenure on their management style (a five-team leader, case studies). The research methodology is based on building theories from case study grounded theory research methodologies.

The research introduced the notion that team leader survival syndrome is pronounced and evidenced by adversarial reactions towards new or experienced professional subordinates where team leaders perceive professional subordinates, especially at senior technical levels, as potential risks that jeopardise their positions and employment survival possibilities. The syndrome is proven based on real-life case studies; it is constant, tangible and serious disorder of attitudes and behaviours. Longer tenure stimulates and accelerates these phenomena and syndrome, with 58% of team leaders exhibiting such syndromes. Optimum employee tenure is between 7 and 10 years. Corporate governance provides good resolution practices.

The research implications are useful to construction industry and academia. However, the analysis is limited to the case studies considered in Canada and Qatar. Due to small sample size for both case studies and respondents to the questionnaire survey, it is recommended for future exploration to expand the scope of research to larger sample size and various demographic and geographical locations.

Corporates should acknowledge the presence of team leader survival syndromes. They should thoroughly investigate sociopolitical relationships behind it and seek to understand consequences on professional subordinates. Corporates should also adopt a 360-degree feedback system; they should limit trust given to team leaders in this regard to responsible trust, to eliminate manipulation. Team leaders are perceived as being not always truthful and misrepresent capabilities and performance of their professional subordinates to senior managers. Corporate governance holistic multidimensional perspectives are required to provide resolutions of team leader survival syndromes.

The research has discovered a phenomenon that team leaders on CMPs in architecture, engineering and construction (AEC) organisations, prompted by virtue of long tenure in corporates or by power of their managerial level in organisations, perceive their professional subordinates, especially senior technical employees, as potential risks. It is thought promoting them would put their own positions and security of tenure at risk. Hence, team leaders act adversarially, to enhance their own survival prospects. This research introduced the novel team leader survival syndrome and introduced analyses, practical implications and recommendations.