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Construction projects are actualized through the involvement of multidisciplinary stakeholders from various cultural and ethnic groups or nationalities who have different levels of exposure to civilization, languages, and world views. Their cultural diversity makes the evaluation of corruption a daunting task and subsequently can adversely affect the team decision-making process, disrupt collaboration among stakeholders, reduce project quality, and hinder outcomes of construction projects. The constant occurrence of building collapse, in which about 83% are linked to corruption, cost overrun, time overrun, and risk to lives in construction projects, often point at corrupt behaviors among construction stakeholders during decision-making, which remain unabated. Construction team members with a corrupt mindset may jeopardize the required standards, specifications, manipulate construction bid, inflate construction cost, distort information, and thorough supervision of projects. In fact, discouragement of foreign investors in the construction industry, which often affects the reputation of the industry, can further exacerbate if not curbed. Past studies mainly focused on forms of corruption in the construction industry, while understanding the factors that triggers them can lead to the practical recommendations for minimizing corruption. Therefore, this study used focus groups to explore corruption factors and the ways they inhibit team decision-making on construction projects in Africa. Hence, five focus groups of a total of 30 construction professionals were conducted virtually with consultants, contractors, government officials, developers, and clients in the Nigerian construction industry. The discourses in the focus groups were summarized and analyzed using contextual analysis. The participants identified 15 corruption factors that affected the team decision-making processes on construction projects, and those corruption influences were classified into four main types: (1) individual people's values (e.g., unity, tolerance, harmony, superiority, etc.); (2) project factors (project complexity and project secrecy); (3) organizational variables (organization–government alliances and unethical professionalism); and (4) societal factors (social pressures, social norms, and social ties). The study's findings build an understanding of the critically important corrupt actions that negatively influence construction projects. Even more importantly, the findings can be used to design public enlightenment campaigns against corruption and in favor of project monitoring. Practical recommendations are given, such as positive applications of human values, with utmost sincerity, to achieve the expected goals of team decision-making. The deliberate involvement of female construction professionals in project teams is also advised. In summary, the corruption factors that we investigated in this study form a basis for a future larger-scale study; meanwhile, the approach we employed is suitable for drawing necessary inferences. Practical Applications: The bane of corruption in the construction industry is alarming, especially in developing countries. In this research, the factors of corruption affecting team decision-making on construction projects were explored in an interactive discourse among groups of construction stakeholders. For minimizing the corrupt actions and improving the completion of construction projects within cost, time, and quality, values of individual stakeholders and projects can be the fundamental components in the industry. Transparency in the construction team decision-making process must be ensured by making all contract information available to the public for monitoring and progress tracking. It is expected that corrupt actions as a result of alliances between construction organizations and government officials can then be uncovered and minimized. The construction institutions must also ensure that unethical professionalism among members is punished adequately without favor or prejudice, and every opportunity for corruption to thrive in the society must be discouraged. [ABSTRACT FROM AUTHOR]

In order to prepare proper budgets, practitioners endeavor to forecast future cost fluctuations. In recent years, the COVID-19 pandemic and the Russia-Ukraine war have caused cost overruns in most construction projects, and there has been no effort to analyze the effects of such situations on cost forecasting performances. This paper aims to investigate the impact of unexpected conditions, such as pandemics and wars, on the construction cost forecasting performances of widely used univariate time series models. For this purpose, statistical forecasting models and two widely used machine learning techniques are employed for the construction cost forecasting of nine European economies in two scenarios: a stable period (2017–2020) and a fluctuating period (2020–2023). The results showed that the success of the models varied by region and period. Unexpected global conditions cause significant errors, especially in the medium and long term. There are significant increases in forecast errors between stable and fluctuating periods. This study provides comprehensive experimental results to determine the cost-forecasting risks of construction projects under unexpected global conditions. The investigation is limited to the European economies, which are mostly developed countries with low inflation rates. Therefore, the results should also be validated in underdeveloped and developing countries. [ABSTRACT FROM AUTHOR]

It is impossible not to be affected at some level when watching, even just the highlights, the opening ceremony of the 2024 Olympics in Paris. The endorphin-pumping procession enrolled multiple music cultures, spectacular and theatrical light shows, and played to Paris’s sardonic historical relations and geographical strengths while generating a ‘spectacle’ that would be hard to match or forget (even if we wanted to). This truly was a city that gave itself up and delivered a spicy ‘full-court press’ for the Olympic imagination. However, closer to home, in the wake of the emerging controversies with the development cycle for the 2032 Brisbane Olympics and Paralympics and the cancellation of the 2026 Summer Commonwealth Games by the Victorian government due to projected cost overruns, we feel that more conversation should be occurring around what the Olympic model should be into the future. We offer four propositions or thinking points that are not necessarily new, but collectively suggest, a re-visioning in light of the realities of the poly crisis that looms. The propositions circle around a shift towards a fixed site for the Games. [ABSTRACT FROM AUTHOR]

3D-printing technology has revolutionized spinal implant manufacturing, particularly in developing personalized and custom-fit titanium interbody fusion cages. These cages are pivotal in supporting inter-vertebral stability, promoting bone growth, and restoring spinal alignment. This article reviews the latest advancements in 3D-printed titanium interbody fusion cages, emphasizing their relevance in modern personalized surgical spine care protocols applied to common clinical scenarios. Furthermore, the authors review the various printing and post-printing processing technologies and discuss how engineering and design are deployed to tailor each type of implant to its patient-specific clinical application, highlighting how anatomical and biomechanical considerations impact their development and manufacturing processes to achieve optimum osteoinductive and osteoconductive properties. The article further examines the benefits of 3D printing, such as customizable geometry and porosity, that enhance osteointegration and mechanical compatibility, offering a leap forward in patient-specific solutions. The comparative analysis provided by the authors underscores the unique challenges and solutions in designing cervical, and lumbar spine implants, including load-bearing requirements and bioactivity with surrounding bony tissue to promote cell attachment. Additionally, the authors discuss the clinical outcomes associated with these implants, including the implications of improvements in surgical precision on patient outcomes. Lastly, they address strategies to overcome implementation challenges in healthcare facilities, which often resist new technology acquisitions due to perceived cost overruns and preconceived notions that hinder potential savings by providing customized surgical implants with the potential for lower complication and revision rates. This comprehensive review aims to provide insights into how modern 3D-printed titanium interbody fusion cages are made, explain quality standards, and how they may impact personalized surgical spine care. [ABSTRACT FROM AUTHOR]

The scheduling of prefabricated component production is crucial for production efficiency and timely delivery in off-site construction (OSC). However, the prevalence of mixed-flow production in prefabrication renders conventional scheduling methods inadequate, leading to cost overruns and waiting issues. This study introduces a lean-based mixed-flow production scheduling approach to address the scheduling challenges in mixed-flow prefabrication. Guided by lean principles, this research analyzes the mixed-flow production process and process wastes, resolving issues of group production, pull production, and overall scheduling enhancement through multiobjective optimization modeling. A nondominated sorting genetic algorithm II (NSGA-II) based solution algorithm was established to minimize completion times, tardiness/earliness penalty, and type changes, thereby eliminating waste and ensuring continuous production. The effectiveness of the proposed approach was validated through a real case study, showing an average 1.84% reduction in makespan, 24.19% cost savings, and 36.03% reduction in waiting times compared to conventional nonlean optimization methods, while demonstrating good stability and reliability. This study innovates in engineering scheduling management and contributes to the development of lean construction theory, providing concrete support for component suppliers' successful delivery and promoting further development in OSC. [ABSTRACT FROM AUTHOR]

The construction industry has always been prone to uncertainties due to its dynamic nature, but the COVID-19 pandemic highlighted the need for a deeper understanding of its present challenges and their implications for the future of the industry. Despite numerous studies conducted on this topic, a comprehensive understanding of the factors stemming from COVID-19 that disrupted the industry is still lacking. This study aims to bridge that knowledge gap by identifying the challenges, categorizing them into four areas (cost overruns, schedule overruns, contractual implications, and health and safety issues), ranking them based on their frequency of occurrence in previous studies, and outlining management strategies to lessen their detrimental impacts on projects. A systematic literature review was conducted, and 284 publications were shortlisted for further review. The review revealed 26 challenges, of which shortage of labor, suspension or slowing of ongoing projects, force majeure confusion, and workplace safety concerns were among the most frequently cited, and offered strategies, such as workforce investment, supplier management, legal consultation, and transparent communication, for managing them. This research provides valuable insights for stakeholders and project managers in the construction sector that will help them comprehend and effectively manage the pandemic-induced challenges. [ABSTRACT FROM AUTHOR]

The article explores the use of Virtual Design and Construction (VDC) methodology in construction projects. VDC involves creating digital models of projects to aid in planning and construction. The framework for VDC includes Building Information Modeling (BIM), Project Production Management (PPM), and Integrated Concurrent Engineering (ICE). The article presents a case study of a residential construction project in Lima, Peru, where VDC was implemented. The project saw improvements in efficiency, with a reduction in construction time and increased detection of issues before work began. The article emphasizes the importance of collaborative goal-setting, careful planning, ongoing training, and a gradual introduction of VDC to ensure successful implementation. [Extracted from the article]

One of the main Frequently Asked Questions (FAQs) in project management for built environment or physical infrastructure projects is "How will this project scope be delivered on time and under budget, addressing health and safety in a sustainable way?" This article presents a parallel point of view summarised in a competing question: "Have you followed a systems engineering methodology to detail interfaces and integrations in the business case?" Megaprojects face multiple risks that incur project delays and cost overruns; hence, this article proposes a simple but nevertheless innovative model that incorporates a systems engineering framework at the start of the built environment or physical infrastructure project: the business case phase. This proposed approach seeks to derisk megaprojects composed of complex systems of systems (SoSs) in their earliest stage when financial decisions based on cost estimations have to be made. The scope of this article covers built environment and physical infrastructure projects and their associated ICT, digital, and technology programmes, rather than purely IT developments. The inconvenient truth is this additional systems engineering task embedded in the business case comes at a further project CAPEX cost that decision makers or stakeholders should be willing to accept as it provides a wider technical vision of the project and better quantifies the Return on Investment (ROI). [ABSTRACT FROM AUTHOR]

The building sector is very dynamic and complex, so construction works are surrounded by uncertainties. The deficiencies of this sector are mainly related to poor project planning and management, resulting in losses because of missed deadlines, cost overruns, reworks, and unsatisfied clients. For a project to be successful, all the parties involved should work together to effectively manage the risks that could emerge in the project life cycle. This research defines and establishes a classification of the factors causing cost and time deviations in construction projects in the Dominican Republic. For this purpose, the most common factors are compiled, and their risk levels are determined by using the data obtained in a survey in which professionals from the building sector participated. The indexes marked by the participants show that the serious risk factors are design variations and the variations made by clients, a tight project schedule and the preparation of bid offers, deficiencies in the work planning and schedule, the lack of skilled labour, and work performance errors. [ABSTRACT FROM AUTHOR]

As a main carrier mode for the sustainable development of the construction industry in China, prefabricated building may lead to problems such as cost overruns, project delays, and waste of resources due to unreasonable selection of prefabricated components. Therefore, we quantitatively analyze the contribution rate of quality optimization of prefabricated components using QFD-SEM. Under the constraints of prefabrication rate, quality optimization contribution rate, and expected values of various sub-goals, we propose a multi-objective optimization method for prefabricated component combinations based on cost, duration, and carbon emissions. By using NSGA-II to solve the model, we can obtain a set of optimal Pareto solutions for prefabricated component combinations. Based on the optimal Pareto solution set, we establish a multi-objective evaluation model using simulated annealing optimization projection tracing method, and select the optimal prefabricated component combination solution according to the projected eigenvalues of the solutions. An empirical study is conducted using an eleven-story framed building in Shenzhen, Guangdong Province, China as a case study. The results show that: (1) Using this method, optimal solutions can be obtained in an unbounded solution space, with the optimal solution having advantages over both fully cast-in-place and fully prefabricated solutions. Compared to the fully cast-in-place solution, the duration and carbon emissions are reduced by 36.62% and 12.74% respectively, while compared to the fully prefabricated solution, costs are reduced by 4.15%. (2) There is a certain negative correlation between the cost of prefabricated component combinations and duration, carbon emissions, and quality optimization, while there is a certain positive correlation with the prefabrication rate. (3) The size of the optimal projection direction vector based on the optimization objectives indicates that carbon emissions have the greatest impact on the evaluation results of the solutions. [ABSTRACT FROM AUTHOR]

Postdisaster housing reconstruction (PDHR) requires robust, efficient planning, and coordination among dispersed prefabrication facilities and jobsites to maximize prefabrication benefits. Manual construction methods and inherent risks often lead to unforeseen incidents and delays. Previous off-site construction studies focused on specific factors, neglecting uncertainties and the improvement of the Social Vulnerability Index (SoVI). Considering all critical parameters, this study proposes a real-time optimized allocation using deep reinforcement learning (DRL) for PDHR projects. The framework employs the Q-learning algorithm to generate the best real-time schedules for each prefabrication facility based on a current work status to complete a planned project. This is illustrated through a case study with ten project sites, four types of module layouts, and four prefabrication facilities. To demonstrate the superiority of the DRL-based method, the model was compared to the Monte Carlo Simulation and the Genetic Algorithm (GA) for the nine criteria related to time, cost, and social vulnerability. The DRL-based algorithm optimized the time parameter by reducing delay by 33.6% compared to the Monte Carlo simulation and by 46.4% compared to the GA. Similarly, it reduced missed deadlines by 35.1% compared to the Monte Carlo Simulation and by 13.3% compared to the GA. When comparing the cost parameter, the DRL model reduced overall cost by 3.4% compared to the Monte Carlo simulation and by 18.6% compared to the GA. In addition, it was able to prioritize the more vulnerable jobsites over less vulnerable ones to reduce delays and missed deadlines. In this regard, the proposed approach contributes to the body of knowledge by introducing a new automated model for PDHR project work distribution, considering productivity, cost, time, resources, uncertainties, and SoVI, thereby improving informed decision-making and overall project performance. Practical Applications: This research presents an artificial intelligence (AI)-powered system tailored for managing large construction projects, especially crucial in postdisaster rebuilding efforts. By harnessing advanced AI techniques, this system streamlines operations in prefabrication factories, ensuring timely and cost-effective completion while considering critical social needs. The key factors that set this approach apart are adaptability and continuous learning. By constantly analyzing and learning from real-time project data, the system dynamically allocates resources, minimizing delays and cost overruns while also prioritizing areas with higher social vulnerability. However, it's important to note that the system's effectiveness relies on specific factory layouts and the availability of up-to-date information. In practical terms, implementing this system could revolutionize how construction projects are managed. It offers real-time insights, enabling informed decision-making, streamlined operations, and enhanced collaboration among all involved stakeholders. Beyond construction, the potential applications of this technology extend to thoughtful urban planning and expediting recovery in disaster-stricken areas. Despite existing challenges, this research paves the way for AI-driven solutions that not only optimize project efficiency but also integrate social responsibility into decision-making processes. It sets a promising path toward a future where AI plays a pivotal role in optimizing projects while concurrently addressing the critical needs of society. [ABSTRACT FROM AUTHOR]

Effective contractor selection is crucial for successful execution of construction projects. In contrast to the conventional lowest-bid approach prevalent in the public sector, this study focuses on developing a framework that minimizes time and cost overruns by considering diverse criteria for contractor selection. A variety of machine learning models, including multi-linear regression, random forest, Support Vector Machine, and Artificial Neural Network, have been employed, with multi-linear regression proving to be the most effective, achieving the lowest Mean Squared Error of 0.00003366. To determine the final order allocation, a multi-objective mathematical model was utilized to optimize conflicting criteria, such as time and cost overruns, sustainability, risk, and safety aspects related to shortlisted contractors. The findings highlight the significance of specific selection criteria, such as turnover, experience in similar projects, qualification of staff, technology utilization, client satisfaction, accident records, available bid capacity, and socioeconomic factors. This study emphasizes a three-phase decision-making framework for contractor selection and order allocation, particularly in public construction projects, with a focus on sustainability. By adopting this approach, government agencies can enhance infrastructure projects and minimize overruns through optimization and analytical tools, which aligns with the Gati-Shakti scheme of the Indian government. It is recommended that clients embrace a holistic approach to contractor selection, considering both technical and non-technical factors, to ensure successful project outcomes. [ABSTRACT FROM AUTHOR]

The article titled "More on Measuring Project Performance" by Dr. Kenneth Smith discusses the topic of measuring project performance. The author mentions their previous letter on measuring work performance with unweighted milestones and goes on to discuss the concept of Earned Value analysis, which involves assessing integrated work, schedule, and cost performance. The author introduces their integrated 13-point Project Performance scale called IPPSTAT, which incorporates traditional SPI and CPI indicators. They acknowledge that their approach may not be adopted by the US Government but suggest that other organizations may find it useful. [Extracted from the article]

Purpose: Cost and time are two of the primary benchmarks in which construction projects are measured. A variety of factors, however, affect cost and time on construction projects, as identified in previous research. This has led to a need for better understanding how factors affecting cost and time overruns on public construction projects can be managed more efficiently. The purpose of this paper is to address these issues. Design/methodology/approach: In this study 26 factors affecting cost and time overruns on construction projects were identified, through qualitative interviews with project managers from Danish governmental agencies and through a literature review. Through principal component analyses the 26 factors were subsequently narrowed down to four primary latent factors. Findings: The identified four latent factors affecting cost and time overruns on public construction projects were lack of quality management, lack of project pre-planning, lack of user management and lack of project management. Originality/value: Previous research has focussed on increasing knowledge by identifying and ranking factors affecting time and cost performance. This has led to the identification of an overwhelming number of factors to use for managing construction projects. The present research reduced the number of factors by clustering them into key latent factors responsible for most of the deviation in performance, narrowing the scope of construction cost and time management into a few tangible key focus areas. This supports and improves fast decision-making that is necessary in a changeable environment such as construction. [ABSTRACT FROM AUTHOR]

The construction sector of the Kingdom of Saudi Arabia (KSA), valued at USD 152 billion and employing 2.54 million people by 2023, is crucial to its economy. However, it faces challenges such as delays, disputes, and cost overruns. This study aims to address these issues by implementing Building Information Modeling (BIM) in the KSA, based on an extensive literature review highlighting the role and significance of BIM in mitigating construction claims. BIM improves collaboration, communication, and data integration among stakeholders. Hence, this study proposes a comprehensive BIM Package framework comprising Revit Architecture, Microsoft Project, and Cost-X to reduce claims effectively. Validated through a KSA claims case study with a USD 1,870,000 claims value and 360-day delay, the BIM Package significantly reduced the claims value to USD 188,000 and saved 275 days. Interview sessions were conducted to validate the effectiveness of the BIM Package; 95% favored the use of BIM, 86% supported NEC4 contract adoption alongside BIM, 100% acknowledged BIM's potential in reducing design errors, 95% were confident in the case study's accuracy, and 82% were satisfied with data accuracy. This study confirms that BIM is an effective approach for minimizing construction claims in the KSA. [ABSTRACT FROM AUTHOR]

This paper aims to elucidate the phenomenon of cost overruns resulting from government-led risks, with a specific focus on contract changes within the context of 70 Indonesian toll road projects. The dataset demonstrates a broad spectrum of cost overrun rates (COR), from −34.43% to 356.54%, with a median of 0.00% (mean = 14.83%). Empirical evidence demonstrates that contract changes exert a discernible influence on cost overruns. Among the sampled projects, 39 out of 70 encountered changes in their original contracts, and within this subset of projects, the median COR was 7.00% (mean = 26.63%). In the case of projects experiencing cost overruns and underruns, the median COR amounted to 21.00% (mean = 44.55%, n = 27) and −13.50% (mean = −13.72%, n = 12), respectively. This paper delves into the correlations between the COR and various project attributes, providing elucidations grounded in the framework of multiple theories in the literature. [ABSTRACT FROM AUTHOR]

The article explores the potential of carbon capture and storage (CCS) technologies in addressing climate change. While the UN Panel on Climate Change emphasizes the importance of CCS in limiting global warming, there are concerns about its cost-effectiveness and ability to significantly reduce emissions. Despite this, countries like the UK and the US are showing support for CCS through government initiatives and funding. The article emphasizes the need for regulatory frameworks and financial support from governments to encourage private investment in CCS. It also discusses the current state of carbon capture, utilization, and storage (CCUS) technology and the need for increased government support to promote its widespread use. The article provides a balanced perspective on the opportunities and challenges associated with CCUS. [Extracted from the article]

Private and public megaprojects—whether new plant facilities, IT systems, railways, or the Olympics—frequently entail dramatic cost and schedule overruns. Root causes are behavioral biases, such as optimism and deliberate deception, accompanied by principal–agent issues and a lack of project-related skills. Through a three-stage process—forecasting, organizing, and executing ("FOX")—we organize and offer solutions to mitigate the cognitive biases and agency issues planners and policy-makers face in large projects. Following the FOX process and building on behavioral decision theory, we review evidence for the accuracy of "reference-class forecasting," which considers comparable past projects to forecast a current, planned project. We provide evidence for reference-class forecasting performance and recent methodological extensions, such as similarity-based forecasting. Then, considering the relevant literature, we offer organizational solutions to reduce unfounded optimism and deception, including debiasing techniques and specific measures to curb principal–agent issues. Finally, we suggest combining a project modular design with speedy implementation for faster, better, cheaper, and lower-risk execution. Overall, we offer an original, holistic theoretical view that addresses both behavioral and strategic elements of how to debias large projects, along with direct practical implications and advice for those who manage megaprojects with increasingly high stakes and risks. [ABSTRACT FROM AUTHOR]

Purpose: Heating, ventilating, air-conditioning and cooling (HVAC) systems are crucial in daily health-care facility services. Design-related defects can lead to maintenance issues, causing service disruptions and cost overruns. These defects can be avoided if a link between the early design stages and maintenance feedback is established. This study aims to use experts' experience in HVAC maintenance in health-care facilities to list and evaluate the risk of each maintenance issue caused by a design defect, supported by the literature. Design/methodology/approach: Following semistructured interviews with experts, 41 maintenance issues were identified as the most encountered issues. Subsequently, a survey was conducted in which 44 participants evaluated the probability and impact of each design-caused issue. Findings: Chillers were identified as the HVAC components most prone to design defects and cost impact. However, air distribution ducts and air handling units are the most critical HVAC components for maintaining healthy conditions inside health-care facilities. Research limitations/implications: The unavailability of comprehensive data on the cost impacts of all design-related defects from multiple health-care facilities limits the ability of HVAC designers to furnish case studies and quantitative approaches. Originality/value: This study helps HVAC designers acquire prior knowledge of decisions that may have led to unnecessary and avoidable maintenance. These design-related maintenance issues may cause unfavorable health and cost consequences. [ABSTRACT FROM AUTHOR]

This research addresses the persistent problem of cost overruns in the construction of public hospitals in Vietnam, a challenge amplified by the increased demands and complexities brought on by the COVID-19 pandemic. Cost overruns not only increase financial strain but also miss opportunities to improve healthcare quality and accessibility. This paper delves into the specific issues contributing to these overruns, focusing exclusively on public hospitals which operate under distinct challenges compared to their private counterparts. Through a comprehensive and systematic methodology, the study incorporates both qualitative and quantitative analyses. It involves a broad literature review, expert consultations, a detailed survey, and rigorous statistical evaluations. The findings identify and rank 43 critical factors, revealing significant correlations across different stakeholder perspectives and confirming these factors in real-world hospital construction projects. The study also categorizes these factors into seven distinct groups using Principal Component Analysis (PCA), offering a nuanced understanding of the multifaceted nature of these challenges. Finally, this study suggests several recommendations that could be effective in addressing these issues. This research not only sheds light on the complexities of public hospital construction in Vietnam but also serves as a crucial guide for stakeholders in managing and mitigating cost overruns effectively.

Spatial extension of lands through rapid reclamation is attractive for congested coastal megacities, although reclamations might suffer from project delay and budget overrun, often due to encountering unforeseen ground conditions. To accelerate reclamations, accurate prediction of soil consolidation over a construction duration of multiple years is needed for reclaimed lands, which often contain spatially varying subsurface stratigraphy and soil parameters. This calls for a spatio-temporal analysis of consolidation with a sound understanding of subsurface stratigraphic alternations of fine/coarse-grained soils and spatial variability of consolidation parameters (e.g. permeability). In this study, a unified framework, capable of simultaneously modelling stratigraphic variation and spatial variability of soil properties through machine learning of limited site investigation data, is combined with the finite-element method and Monte Carlo simulation for spatio-temporal consolidation analysis of reclaimed lands. The proposed method is applied to a real reclamation project in Hong Kong. Results indicate that the proposed method can accurately characterise subsurface geological cross-sections and spatially varying soil permeability with quantified uncertainty. Ignorance of spatial variability of soil permeability may result in an underestimation of consolidation time and an overestimation of undrained shear strength gain, and thus pose significant risks to reclamation projects. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to demonstrate how critical realism can be mobilised as a meta-theory, or philosophical under-labourer, for research on space accounting and how this may further inquiries into the known as well as the unknown implications of space exploration and commercialisation. Design/methodology/approach: This is a conceptual paper that applies critical realism to the field of space accounting using cost management in space contracts as an illustrative example. Findings: Adopting a naturalised version of critical realism that recognises the complex interplay between natural and social realities, the author nuances the distinction between intransitive and transitive objects of knowledge and advances a framework that may be used as a starting point for a transfactual mode of reasoning. The author then applies this mode of reasoning to the topic of cost management in the space sector and illustrates how it may enhance our insights into what causes cost overruns in space contracts. Research limitations/implications: By adopting a naturalised version of critical realism, the author establishes a philosophical framework that can support the broadly based, inter-disciplinary research agenda that has been envisaged for research on space accounting and possibly inform policy development. Originality/value: This paper is the first to apply a critical realist perspective to space accounting and lays a philosophical foundation for future research on the topic. [ABSTRACT FROM AUTHOR]

Purpose: This study examines the effects of cultural factors on cost performance of multinational construction project organisations with a view towards identifying the most effective cost performance variables affected by the influence of cultural practices. Purposive sampling technique was adopted in deterring the number of construction professionals identified in construction companies with international market experience involved in the delivery of building, civil, and heavy engineering construction projects within the south-east geopolitical zone of Nigeria. Outline: A well-structured questionnaire was used to sample respondent’s opinion. Data analysis was through frequencies, percentile, and Mean Item Score (MIS). Findings: Research findings proved that irrespective of the positive effects of educational culture which improves cost performance by ensuring that projects are executed at estimated cost and within client’s budget (Mean = 4.34) and the result of effective communication culture which ensures value for money and return of customer as project is designed to suite client’s budget while maintaining standard quality delivery (Mean = 4.16), political culture tends to have mixed effect on cost performance as project design cost, labour, material and equipment cost, profit and overhead cost, etc. (Mean = 4.30) is found to be responsible for cost overruns of construction projects. Research Implication: The study recommends among others that multinational construction organisations pay great attention to the political style practiced in the host community / country in which they operate. Paper Type: Research Paper. [ABSTRACT FROM AUTHOR]

The U.S. Inflation Reduction Act (IRA) of 2022 provides a wide array of tax credits and other incentives for low-carbon energy. The technology-neutral clean generation production tax credit (PTC) (Section 45Y of the U.S. Internal Revenue Code) and the technology-neutral investment tax credit (ITC) (Section 48E) lower the net cost of new electricity generation projects with zero or negative greenhouse gas emission rates. We evaluate the impact of the IRA legislation--specifically the PTC and ITC--on the cost-competitiveness of small modular reactors (SMRs). We use the Argonne Low-carbon Energy Analysis Framework (A-LEAF) model to calculate the capacity factor of an SMR with a range of hypothetical variable operating and maintenance (O&M) costs in the Electric Reliability Council of Texas (ERCOT) electricity market. We selected ERCOT for market modeling because of its competitive structure, available data, and extensive use in prior literature. We use a discounted cash flow model to calculate the SMR's net present value based on the market prices and capacity factors from A-LEAF, hypothetical ranges of capital and variable O&M costs, and other input parameters, with or without the IRA tax credits. We determine the SMR owner's optimal choice of PTC or ITC for the hypothetical ranges of capital and variable O&M costs. We also evaluate potential shifts in the SMR owner's optimal choice of PTC or ITC based on historical patterns of nuclear capital cost overruns in the United States. We also assess the sensitivity of our results to longer PTC period and electricity prices from the New England market, which tend to be higher than electricity prices in ERCOT. We find that even with the IRA tax credits, only SMRs with low capital and variable O&M costs would be economically feasible in the low-price ERCOT market scenario modeled. A longer PTC period and higher-price market such as New England, however, would significantly expand the economic feasibility of SMRs in the United States. [ABSTRACT FROM AUTHOR]

Several construction projects globally suffer due to time and cost overruns. These could be due to reasons attributable to the contracting parties or unforeseen external circumstances. Disputes often arise between the parties regarding which side caused the delay and the compensation terms for the delay. Thus, this study is motivated to explore a digital contractual solution for contract administrators and project managers using blockchain technology-enabled smart contracts. In this regard, the research attempts to develop smart contract clauses that (1) carefully allocate liability and delay accountability at various construction stages; (2) automatically compute the delay compensations and notify the responsible party; and (3) determine the resultant extensions of time and cost, with cost variations. The goal is to develop computable legal contracts for industry and academia focusing on the extension of time, delay compensation, and variation, which can be applied to all projects worldwide, regardless of the complexity or scale. [ABSTRACT FROM AUTHOR]

This paper presents the results of a ranking-type Delphi study on the critical risk factors for the adoption of an electric road system (e-road) for trucks on the main motorways in Sweden. The investment cost of such a system is high, necessitating an upfront evaluation of the adoption risk factors to reduce the likelihood of budget overruns and project delays. Participating Swedish e-road experts (N = 52) from the public sector, private sector, and academia identified 32 unique risk factors, which were divided into five categories. The three most critical risk factors, as ranked by the experts, were 'low expansion rate,' 'low utilization rate,' and 'lengthy public-sector evaluation.' Overall, market and financial risks were ranked as more important than institutional, technological, and sustainability risks. This study has important implications for policymakers in countries considering e-road adoption. [ABSTRACT FROM AUTHOR]

Delays in construction are a widespread global problem, leading to potential cost overruns and legal disputes. Additionally, delays can result in a decline in construction quality and loss of public trust. The aim of this study is to examine the effects of project delays in various regions and the preventive role of optimizing concrete works. Literature review and bibliometric analysis are carried out to determine global research trends. Findings show that optimizing concrete works can provide benefits such as cost savings, time savings, improved quality and safety, and environmental benefits. Optimization of concrete material composition is one of the most examined topics in this field. Based on the findings, construction firms have the potential to attain cost efficiencies while concurrently mitigating carbon emissions. [ABSTRACT FROM AUTHOR]

We investigate optimal project management in a setting plagued by an indefinite number of setbacks that are discovered en route to project completion. The contractor can cover up delays in progress due to shirking either by making false claims of setbacks or by postponing the reports of real ones. The sponsor optimally induces work and honest reporting via a soft deadline and a reward for completion that specifies a bonus for early delivery. Late‐stage setbacks trigger randomization between minimally feasible project extension and (inefficient) cancellation. Because extensions may be granted repeatedly, arbitrarily large overruns in schedule and budget are possible after which the project may still be canceled. [ABSTRACT FROM AUTHOR]

This paper aims to coordinate a shipment lead time hedging (SLTH) problem between a building contractor and a logistics provider in the prefabricated construction supply chain (PCSC). In the PCSC, untimely (early or late) delivery of prefabs can lead to project time and cost overruns. To mitigate this challenge, the building contractor requires the logistics provider to reduce the shipping time variability, which is termed the SLTH strategy. While this benefits the building contractor, it also puts more investment and operational pressures on the logistics provider. To solve this conflict, we introduce a coordination mechanism which involves two terms: an SLTH level related cost term is charged by the logistics provider to the building contractor, and a constant transfer term is adopted to fairly allocate the system surplus. Three decentralized models are investigated: i.e., two Stackelberg game models with alternative decision-making sequences and an equal power model. Further comparative analysis and numerical studies reveal that our proposed coordination mechanism increases the SLTH level and ensures a win–win situation. Moreover, some interesting managerial implications are derived. [ABSTRACT FROM AUTHOR]

Old residential areas present unique challenges in terms of design, stakeholders, and renovation requirements compared to traditional building projects. However, unreasonable construction plans can lead to delays, cost overruns, poor quality, and conflicts between the construction party and local residents. This article proposes an optimization model that prioritizes progress, quality, and cost as the key control objectives, leveraging the actual conditions of renovating old residential areas. The NSGA-II genetic algorithm is employed to solve the mathematical model. To validate the effectiveness and scientific rigor of the algorithm, a renovation project in an old residential area in Wuhan is used as a case study. The findings of this study offer valuable theoretical support for decision makers in selecting appropriate construction plans. [ABSTRACT FROM AUTHOR]

Over-budgeting due to inflation is a common phenomenon in the construction industry of both developed and developing countries. Inflation, with time changes, leaves an adverse effect on the project budget. Hence, this study aims to focus on the construction price index (CPI) behavior and inspect its correlation with inflation in Thailand's construction industry as there has not been much work performed. The prediction of CPI was made from 2024 to 2028, relying on the data set from 2000 to 2023. The relationship between inflation and CPI categories helps in prediction by considering inflation as the independent variable and CPI (All Commodities, Lumber and Wood Products, Cement, and Iron Products) as the dependent variable that was incorporated in EViews to perform automated ARIMA forecasting. The correlation results show that out of four CPI, only Iron Products showed a significant relationship with inflation. For All Commodities, Lumber, and Wood Products, the predicted values were fluctuating, while for Cement and Iron Products, a clear seasonal pattern was observed. This prediction gives a direction to construction industry practitioners to make necessary adjustments to their budget estimation before signing the contract to overcome cost overrun obstruction. [ABSTRACT FROM AUTHOR]

In construction project management, achieving three main goals, namely cost, quality, and time, becomes the primary focus. This study aims to evaluate a road widening project in Mojokerto Regency with a target completion time of 150 days. To prevent delays and cost overruns, researchers adopted the Earned Value method as a tool to identify early warnings regarding project performance. This method integrates cost and time measurements through indicators such as Cost Variance (CV), Schedule Variance (SV), Cost Performance Index (CPI), Schedule Performance Index (SPI), Estimated at Completion (EAC), and Estimated Schedule at Completion (EAC). The analysis results show that the additional costs required (ETC) amounted to Rp 3,276,704,110.14, with an estimated additional time (ETS) up to the 12th week being 87 days. The project's cost change (EAC) reached Rp 3,961,767,811.01 from the contract cost, while the estimated project completion time (EAS) was 171 days. These findings indicate that the construction service provider has implemented an efficient execution method with consistent monitoring, ensuring the smooth progress of the project. [ABSTRACT FROM AUTHOR]

Purpose: Value creation for society from public projects requires that the overall benefits exceed the use of taxpayers' money. At the same time, cost overruns in public projects are a well-documented feature in the literature, but practical guidance on reducing the extent and magnitude of overruns is rare. In 2000, Norway introduced a governance regime that includes mandatory external quality assurance (QA) of cost estimates for major public projects. This paper compares the cost performance of public projects on each side of this QA scheme. Design/methodology/approach: We use an original dataset covering 1,704 projects from 2000 to 2021, reported first-hand from Norwegian public agencies. We apply quantitative methods in the form of descriptive statistics, regression models, and statistical testing of hypotheses to answer our research questions. Findings: The mean cost overrun across projects in our dataset is smaller than several previous international studies have reported. We find no statistical support for different cost performances between QA and non-QA projects. Secondly, cost overruns seem to vary between different public sectors. A third finding is a small development with lower cost overruns over time for the non-QA projects, and we raise the question of whether the QA scheme has contributed to overall learning effects. The fourth finding is that cost deviations are quite independent of project size. Originality/value: The paper offers novel insights for decision-makers and researchers on the effects of external quality assurance on cost performance in public projects. [ABSTRACT FROM AUTHOR]

In deciding whether an infrastructure project should be delivered using traditional procurement or a public-private partnership (PPP), the public sector estimates the project's value for money (VFM), which serves as the principal justification for adopting PPP. It is well known that VFM arises primarily from risk transfer, that is, the risk of (for example) potential cost overruns is transferred from the public sector to the private sector under PPP, thereby creating cost savings to the public sector. Using a unique source of PPP data, Infrastructure Ontario, Canada, this paper investigates an issue not examined systematically and quantitatively in the literature: how the contribution to VFM arising from risk transfer varies from project type to project type, and why. [ABSTRACT FROM AUTHOR]

The construction industry is complex and suffers from considerable challenges related to Project Delivery Systems (PDS) most notably cost overruns and delays. Integrated Project Delivery (IPD) has gained traction in recent years and is lauded to be an effective mechanism to overcome many of these challenges. However, implementing IPD in practice is not an easy endeavor, and there is a need to understand the motivation to adopt it as well as to understand the key challenges and critical success factors for its effective implementation. This exploratory study aims to address this deficit. We capture real-world data from professionals in the Irish construction industry to understand current practices and analyze the perceived challenges and critical success factors for the successful implementation of IPD. Our findings reveal a significant lack of awareness among participants regarding IPD and very low levels of implementation. Issues such as lack of trust, fear of litigation and reluctance to change are the major barriers to implementation. Critical success factors for successful implementation center on establishing integrated systems such as BIM and ensuring that information, process knowledge and organizational teams are integrated. [ABSTRACT FROM AUTHOR]

This article focuses on how data from completed projects can be applied to uncertainty analysis. Cost estimates and risk assessments in public construction projects rely on expert opinions and, by little extent, historical figures. By analysing the relationship between project features and budget deviation through statistical methods, we find that total area and estimated square meter price is significantly negatively correlated to cost overruns. Smaller projects tend to have higher cost overruns than larger ones. We argue that cost risk analyses can be improved by such insight. [ABSTRACT FROM AUTHOR]

Construction projects frequently encounter challenges such as stagnant productivity, excessive waste, cost overruns, and delays, contributing to sustainability issues. In response to these issues, Lean Construction (LC) has emerged as a methodology aimed at eradicating inefficiencies and wasteful practices. However, the construction industry has been slow to embrace LC, primarily due to a lack of comprehensive evaluations regarding its real-world effectiveness. This study seeks to thoroughly assess the effectiveness of LC when implemented in construction projects in Pakistan. The research involved conducting a survey among experts in the construction industry, utilizing a comprehensive questionnaire to evaluate the extent of LC adoption and its impact on construction project performance. The collected data underwent rigorous statistical analysis to ascertain the influence of LC practices on project outcomes. To validate the survey results, the study selected five case study projects for in-depth analysis. These case studies assessed how well the projects adhered to LC principles and examined the resulting effects on project delays, cost overruns, quality issues, rework, and healthrelated concerns. The findings consistently confirmed that a higher level of adherence to LC principles led to significant reductions in project delays, cost overruns, quality issues, and health-related problems. This analysis strongly supports the notion that a more extensive adoption of LC practices results in substantial improvements in project performance. By presenting these compelling results, this study offers valuable insights to the construction industry, providing a clearer path for the effective integration of LC practices. [ABSTRACT FROM AUTHOR]

This article discusses the measurement of complexity in large complex projects (LCPs) using concepts from quantum physics and relativistic theory. It introduces the concept of Quantum Project Management, which draws analogies from quantum phenomena to provide project managers with a fresh perspective on navigating the complexities of LCPs. The article explores metrics such as entanglement entropy, quantum circuit complexity, computational complexity, quantum Kolmogorov complexity, and quantum Fisher information to quantify complexity in LCPs. It emphasizes the importance of understanding complexity in both quantum computing and LCP to guide decision-making and resource allocation. Overall, Quantum Project Management offers a new perspective on managing LCPs and emphasizes the need to embrace complexity and uncertainty in project management. [Extracted from the article]

The escalating consumption of LPG in Indonesia has prompted the country's National Oil & Gas Company to embark on constructing a new LPG Facility. This paper addresses the imperative to streamline the Front-End Loading (FEL) stage to prevent cost and schedule overruns due to scope creep. The primary objective is to formulate a comprehensive Work Breakdown Structure (WBS) and Cost Breakdown Structure (CBS) for the LPG Facility Construction project, aimed at facilitating accurate cost estimation and scheduling processes for diverse stakeholders. Using the unfolded tesseract theory to analyze stakeholder needs and elucidate the object-oriented WBS, a Multi-Attribute Decision Making (MADM) analysis was conducted. The study concludes that a multidimensional WBS, particularly employing OmniClass, is the optimal choice for addressing the complexities of the LPG Facility Project and meeting stakeholder needs within BIM software. [ABSTRACT FROM AUTHOR]

Complex construction projects are characterized by a large scale, high dynamics, many unknown risks, high complexity, etc., which often result in serious consequences, such as schedule delays, cost overruns, and uncontrolled objectives. Organizational leadership, which can be dynamically adjusted to the changes in the external environment, is the most important management ability of project managers. Therefore, it is of great significance to systematically analyze organizational leadership for the management of complex construction projects. In this paper, through the dynamic Bayesian method, the influencing factors of organizational leadership of complex construction projects and its dynamic development law are studied in depth. First, 17 organizational leadership factors are identified. Second, a dynamic Bayesian measurement model of organizational leadership was developed using 128 training samples. Third, the developed measurement model was applied for model analysis. The results of the study are as follows. (1) This study models changes in organizational leadership influences over time. (2) The organizational leadership measurement model proposed in this study can be applied in practice to predict leadership trends in specific projects. (3) Leaders should pay more attention to management competence in the personal leadership dimension, culture building in the relational leadership dimension, and institutional support in the strategic leadership dimension. This study proposes a quantifiable model for project leaders that breaks through the traditional model of studying organizational leadership from a static perspective, provides a quantifiable model for project leaders, and can cope with the dynamics of actual projects so that project leaders can control the whole leadership process macroscopically, thus providing an important reference to improve the organizational leadership capacity of complex construction projects. [ABSTRACT FROM AUTHOR]

Illinois courts have shifted their interpretation of commercial general liability (CGL) policies to align with the majority of jurisdictions. In a recent case, the Illinois Supreme Court held that "property damage" caused by an "occurrence" should be defined by the language of the CGL policy, rather than previous court interpretations. This decision brings Illinois in line with the national trend of rejecting judicially created limitations on coverage. In another case, a federal district court in Colorado refused to exclude expert testimony that utilized the total cost method of damage calculation, highlighting the court's disfavor of dispositive motions. Finally, the Supreme Court of Nebraska reinforced the protections provided under the Nebraska Construction Lien Act, ruling that a contractor or materialman's right to attach a lien to a property is not extinguished when the property is transferred to a third party. [Extracted from the article]

Public-Private Partnerships (PPPs) have been adopted globally to reduce funding gaps amidst an increasing need for public infrastructure. However, they are prone to several risks. Little attention has been paid to this crucial phenomenon in Uganda, despite the rising interest in the use of the PPP model. Through a questionnaire survey with PPP experts in Uganda, 34 principal risks were identified of which the top 10 are construction completion, government corruption, construction cost overrun, land acquisition, delay in project approval and permits, high financing cost, operation cost overrun, inadequate tender competition, procurement risk, and inability to service debt risk. Most of these were found to arise from inadequate experience in PPPs, the complexity of the PPP model, high levels of corruption and the immature domestic financial market. The knowledge of these risks can guide PPP contract negotiations and potential investors in their investment decisions, especially the objective assessment of PPP projects. [ABSTRACT FROM AUTHOR]

In tunnel construction with tunnel boring machines (TBMs), accurate prediction of the remaining useful life (RUL) of disc cutters is critical for timely maintenance and replacement to avoid delays and cost overruns. This paper introduces a novel hybrid model, integrating fundamental and data-driven approaches, to enhance wear prediction of TBM disc cutters and enable accurate RUL estimation. The fundamental model is improved by incorporating composite wear mechanisms and load estimation techniques, showcasing superior prediction accuracy compared to single-mechanism models. Additionally, the hybrid model innovatively incorporates a data-driven supplementary residual term into the improved fundamental model, leading to a high-performance wear prediction model. Using actual field data from a highway tunnel project in Shenzhen, the performance of the hybrid model is rigorously tested and compared with pure fundamental and data-driven models. The hybrid model outperforms the other models, achieving the highest accuracy in predicting TBM disc cutter wear (mean absolute error (MAE) = 0.53, root mean square error (RMSE) = 0.64). Furthermore, this study thoroughly analyzes the hybrid model's generalization capability, revealing significant impacts of geological conditions on prediction accuracy. The model's generalization capability is also improved by expanding and updating the data sets. The RUL estimation results provided by the hybrid model are straightforward and effective, making it a valuable tool by which construction staff can monitor TBM disc cutters. [ABSTRACT FROM AUTHOR]