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It is widely accepted that one criterion for determining if a construction project is successful is whether it is completed within the expected budget. There have been advancements in the management of building projects throughout time but cost overruns remain a key concern in the construction sector internationally, particularly in emerging economies such as Ghana. This study aims to answer the question, “What are the critical success factors (CSFs) that can assist reduce cost overruns in public sector infrastructure projects in the Ghanaian construction industry?”

This study used a quantitative survey method. The questionnaire was pre-tested by interviewing 15 contractors to ascertain the validity of the content. Factor analysis and multiple regression were adopted to analyze the data.

This study discovered that the critical factors that can reduce cost overruns in construction projects in Ghana are directly linked to five themes: early contractor involvement in the project planning stage, adequate funding, good project team relations, competent managers/supervisors and project participant incentives/bonuses. This study identifies indestructible, empirically measurable important success criteria for reducing cost overruns in public building projects in Ghana.

When well thought through from the project initiation stage to completion, these critical successes can also be used to deal with damaging economic effects such as allocative inefficiency of scarce resources, further delays, contractual disputes, claims and litigation, project failure and total abandonment.

The uniqueness of this research resides in the fact that it is, to the best of the authors’ knowledge, a first-of-its-kind investigation of the CSFs for reducing cost overruns in public building projects in developing countries.

The building sector is vital to a nation’s economy, as it has a major influence on economic activity and growth, job creations and the advancement of infrastructure. Intricate challenges that are inherent in crises such as the COVID-19 outbreak lead to material scarcities, project delays, labor shortages, escalated expenses, funding challenges, regulatory obstacles and dwindling investment funds, all of which culminate in costs that are in excess of those budgeted. While numerous studies have explored the ramifications of COVID-19 on project budgets, there is little, if any, data available on forecasting the magnitude of this impact.

This investigation seeks to bridge this knowledge deficiency by devising a predictive tool grounded in an ordinal logistic regression method. An online survey was designed and disseminated to gauge the views of construction field experts about the diverse contributors to excessive costs during the viral outbreak, and a predictive tool, crafted from the survey participants’ feedback.

Findings showed that smaller-scale enterprises and contractor-centric establishments faced greater adversities than medium-to-large ones and consultancy-or-owner-type entities.

The insights from this research shed light on the amplified risk of higher project costs amid health crises or analogous events, underlining the imperative need for fortified risk management approaches to bolster project outcomes. By factoring in demographics, this research offers policymakers a refined lens through which to customize interventions and promote balanced and enduring advancement in the construction industry.

Schedule and cost overrun analysis for a typical research & development (R&D) project is necessary to identify and mitigate the non-feasible alternatives at the design stage. Typically, this should include an analysis of technological and economic factors of R&D project. This paper aims to discuss these issues.

This research proposes an integrated analytic network process (ANP) and reusable system dynamics (SD) model for a quick and strategically consistent decision making. The technological and economic factors of R&D project were first identified and compiled through a systematic literature review. An ANP model was first developed for calculating Risk Priority Index (RPI) for set of technological and economic factors. The computed RPI are considered as an input to SD models. Two SD models (technological and economic) are developed to undertake a detailed investigation on effect of individual factor on schedule and cost overrun. The approach is exemplified for a case of government R&D project in India.

ANP identifies “Testing & qualification facility” and “Raw material availability” as the highest RPI factors. A detailed sensitivity analysis of SD models suggests that technological factors such as “Design Changes,” “Hidden Activities,” and “Lack of Expertise” and economic factors such as “Project delays,” “Unexpected incidents” and “Conflicts” have the highest influence on schedule and cost overrun.

The outcomes of this research can help managers to estimate the severity of various technological and economic factors on cost and schedule overrun and develop an adequate risk mitigation contingency plan.

In case of R&D projects where systems are being developed for the first time, changes are inevitable, and hence schedule and cost management plays a very important role in its success. This paper proposes an integrated reusable approach of ANP and SD for analyzing the influence of technological and economic factors on schedule and cost overrun of R&D project.

Evidence suggests project owners could use advance payments to prevent cost escalations. The purpose of this paper is to elicit the relationships between causations of overruns when advance payments are issued to contractors.

In total, 97 responses from a questionnaire survey were analysed. Additional data on 51 projects, completed between 2000 and 2014 under different advance payments regimes, were also obtained and analysed.

Project owners issue advance payments to contractors so as to avoid delays. However, statistical correlation between advance payments and overrun causations are not significant. Although cost overruns were higher in large projects than in small projects, schedule overruns were more in small projects than in large projects. Schedule overruns were caused most significantly by contractors’ site management approaches. Design and documentation issues were identified as the most prevalent cause of cost overruns. Regression models are proposed to elicit overruns when advance payments are issued.

Extant debates on project overruns in construction and project management literature are robust. Nonetheless, the study elicits considerable knowledge gaps regarding the roles of advance payments in fostering project performance.

This pioneering work indexes the relationship between advance payment and project overruns in Nigeria. It is also the first attempt to document the probability distribution of overruns in Nigeria, particularly under specific advance payment regimes.

Information technology (IT) project management is a crucial issue for organizations today. A 1995 study in the USA found that 31 per cent of software projects will be canceled before completion, and more than half the projects will cost an average of 189 per cent of the original estimates. This article examines the results of a survey questionnaire that was sent to Canada’s 1,450 leading public and private institutions to find the causes of IT project failure. It found that the three most common reasons for project failure are poor project planning, a weak business case, and a lack of top management involvement and support. It then outlines the reasons behind these failures, thus providing the first steps towards minimizing the risk of future failures.

Most organisations do not have established guidelines for the estimation and management of contingency funds. The purpose of this paper is to identify the risk factors at the construction phase causing project cost overruns, and a reliable method for the estimation of contingency sum is established.

Combined qualitative–quantitative exploratory methods were used. Qualitative interviews were conducted with five expert practitioners working in a Public Works Department in Zambia to determine how contingency sum is estimated and to explore what risk factors should be considered. Quantitative regression used cost and risk data collected from 30 recently completed building and refurbishment projects.

The qualitative study indicated that the project budget overruns constitute a major issue. This finding is in line with the paired-samples t-test results which show that the difference between the total variations and the initial contingency sum tends to be significant. The regression analysis proved that the contingency sum was positively correlated to the estimated contract sum. The qualitative interview results and Pearson correlation analysis also showed that contingency sum and project complexity tend to have a significant correlation. The research also demonstrates that the type of works is not a direct significant factor.

Because the projects used for the study were relatively short, duration of the project and economic factor of tax rate, exchange rate and inflation rate were not examined in the multiple regression analysis. Further studies should be conducted on longer projects to test out whether these risk factors are significant in influencing the project contingency.

The results demonstrate that the multiple regression method can be applied as a reliable tool to predict contingency sums. Accurate contingency sums and project budget estimates benefit construction clients and their project managers. Individual project conditions should be carefully examined when assessing the contingency.

This research establishes a reliable regression method for the assessment of the contingency for the pre-tender estimate which has significant impact on the project feasibility and cost control, using related risk factors involved in construction contingency and client’s contingency.

It is estimated that more than half of the construction industry’s projects encounter significant cost overruns and major delays, resulting in the industry having a tarnished reputation. Therefore, it is crucial to identify key project cost and schedule performance factors. However, despite the attempts of numerous researchers, their results have been inconsistent. Most of the literature has focused solely on the construction phase budget and time overruns; the engineering/design and procurement phase costs and schedule performances have been rarely studied. The paper aims to discuss these issues.

The objective of this study was primarily to identify and prioritize engineering, procurement and construction key performance factors (KPFs) and to strategize ways to prevent performance delays and cost overruns. To achieve these objectives, more than 200 peer-reviewed journal papers, conference proceedings and other scholarly publications were studied and categorized based on industry type, physical location, data collection and analysis methods.

It was concluded that both the time required to complete engineering/construction phases and the cost of completing them can be significantly affected by design changes. The two main causes of delays and cost overruns in the procurement phase are construction material shortages and price fluctuations. Other factors affecting all phases of the project are poor economic condition, equipment and labor shortages, delays in owners’ timely decision making, poor communication between stakeholders, poor site management and supervision, clients’ financial issues and severe weather conditions. A list of phase-based strategies which address the issue of time/cost overruns is presented herein.

The findings of this study address the potential confusion of the industry’s practitioners related to the inconsistent list of potential KPFs and their preventive measurements, and pave the way for the construction research community to conduct future performance-related studies.

The purpose of this paper is to examine the major management issues that impact on mega transportation infrastructure projects in the United Arab Emirates (UAE) and identify the factors that cause unsuccessful project completions. The paper further seeks to identify the changes that can be made to improve project success.

This is a qualitative study that involved face‐to‐face interviews with 20 key experienced transportation construction stakeholders who had been involved in a number of different projects in the UAE. This was followed by a focus group discussion involving ten key stakeholders who had been involved in the construction of a mega project – the Dubai Fujairah Highway. Analysis of the interview data was conducted using NVivo.

The findings highlight the complexity involved in managing mega transportation infrastructure projects in the UAE. Multiple stakeholders (government agencies, sponsors/clients, management firms, consultants and contractors) influence the various stages of projects. The need for effective communication, coordination, knowledge sharing and decision making amongst the stakeholders, especially during the planning and design stages, is highlighted as critical.

The main limitation is the small numbers interviewed for each stakeholder group. Nevertheless, the sample of interviews provides a good representation of the transport infrastructure construction industry in the UAE.

Three major practical implications relate to: improving communication and coordination amongst government departments and key stakeholders to streamline effective knowledge sharing and decision making, leading to successful project outcomes; improving the skills and competencies of professional staff at all levels and subsequently delegating authority to lower levels; and the adoption of global international standards to improve planning, design and construction activities.

The paper describes the first study of its kind conducted in the UAE that provides valuable insights with respect to transportation infrastructure project management.

Our notion of project control is based on the five-by-five model and constitutes a comprehensive control model including control of results, time and work control, resource control, financial control, and contract management.

The task of project control is determined by uncertainty and complexity and calls for improvisation and ingenuity in order to be able to maneuver the project. The notion of forward-oriented follow-up is introduced.

The failure rate of international construction joint venture (ICJV) projects has been noted to be high in developing countries due to the complexity and risky nature of construction projects in the international market. The purpose of this study is to identify and evaluate the risks facing ICJV projects in Ghana.

A risk register was developed through a comprehensive literature review. The identified risks were then used in a questionnaire survey involving local and foreign partners in ICJV projects in Ghana.

From a total of 74 risks identified, categorized into country-level risks, market-level risks and project-level risks, the “top ten” risks found to be the most critical risks facing ICJV projects in Ghana include unstable currency exchange rates, inflation, design changes, high-interest rate, budget overrun, cash flow problems of the client, economy fluctuation, difficulty in obtaining approval of projects from host government authorities/bureaucracy, potential financial distress of JV partner and bribery and corruption.

This study provides a comprehensive list of risks ICJV partners are likely to encounter on their projects in developing countries. Furthermore, this study improves on one of the major limitations of previous ICJV studies by collecting data from both partners of the ICJV, appropriate for cross-cultural examination and comparison.