Traditional Earned Value Management (EVM) index-based methods for Cost Estimate at Completion (CEAC) of an ongoing project have been known for their limitations inherent with both the assumption that past EVM data is the best available information and early-stage unreliability. In an attempt to overcome such limitations, a new CEAC methodology is proposed based on a modified index-based formula predicting expected cost for the remaining work with the Gompertz growth model via nonlinear regression curve fitting. Moreover, the proposed equation accounts for the schedule progress as a factor of cost performance. To this end, it interpolates into its equation an Earned Schedule-based factor indicating expected duration at completion. The proposed model shows itself to be more accurate and precise in all early, middle, and late stage estimates than those of four compared traditional index-based formulae. The developed methodology is a practical tool for Project Managers to better incorporate the progress status into the task of computing CEAC and is a contribution to extending EVM research to better capture the inherent relation between cost and schedule factor

Public-private partnerships (PPP) research is very diverse. This field of research covers different topics across multiple disciplines and is disseminated in many journals. This has led to numerous review studies with a single discipline focus that apply mostly subjective or descriptive analyses. With the purpose of providing an integrated overview of all the disciplines that involve PPP and uncovering connections between these, this research provides an extensive PPP literature meta-review that uses objective bibliometric measures on 1970 articles from 773 journals. The methodology involves ranking journals, identifying topical trends over 1989–2018, and clustering the literature to create a PPP knowledge map with associated research domains. The findings reaffirm that PPP is not only a multi-disciplinary research area but also a self-contained meta-discipline that integrates some allied disciplines with their foundational theories. The PPP meta-discipline is largely dominated by Construction Management and Economics (CME), Public Administration and Management, and Transportation Research disciplines, and integrates emerging topics such as sustainability, governance and stakeholders management. This study contributes to the CME scholarly community as it offers the first comprehensive meta-analysis of PPP literature and helps understanding PPP under the lens of a multi-disciplinary perspective.

Risk management is one of the topical areas in construction project management research. However, no attempt has been made in the past decades to explore the emerging themes in this area. This paper reviews the research trends in risk management in construction. The bibliometric data of 1635 publications between 1979 and 2022 were extracted from Scopus using a set of keywords. The study used VOSviewer and Gephi to conduct a scientometric analysis on the extracted publications. The review outcome indicates a significant increase in publications on risk management in construction, with about 205 publications recorded between 2021 and 2022 alone. Based on this analysis, it is projected that the next decade will see significant research on risk management, especially as the construction industry moves towards Industry 5.0 with many uncertainties. Further, the most productive countries of risk management studies in construction include China, the United States, the United Kingdom, Australia, and Hong Kong. Emerging key research areas are discussed using network diagrams and clusters. These areas include the processes in risk management, risk analytical models and techniques, sources of risk and uncertainties, effective knowledge-based systems for improved risk management, risk contingency in construction contracts, risk-integrated project planning and scheduling, and stakeholder management. The findings of this study inform researchers on the current progress of risk management studies in construction and highlight possible research directions that can be considered.

Purpose: The purpose of this paper is to contribute to the diffusion of earned value management (EVM) as a practicable methodology to monitor facility construction and renovation projects in the context of the European industry.Design/methodology/approach: First, a review of the literature reveals how EVM evolved as a tool for facility construction project monitoring together with specific concerns for its application. Then, a review of EVM practice and trends in Europe is provided and finally, applicability and viability of the method is proved through a case demonstration.Findings: EVM practice in the European construction industry is found to be lagging behind other experienced countries and industries, despite EVM having been found to be applicable, adaptable, and predictive of integrated final cost and schedule of facility construction projects. In particular, cost estimate at completion is forecasted by a simple cost performance index (CPI), while for the time estimate at completion, the earned schedule concept is revealed as an accurate predictor.Research limitations/implications: The paper urges the need for research of a European standard as a primary factor for successful diffusion of EVM usage in architecture, engineering and construction projects.Practical implications: This paper helps practitioners to understand the adaptability of EVM practice in the European construction industry and to apply EV tools for effective monitoring of the performance of their projects.Originality/value: Current trends of EVM practice in the European construction context are presented and suggestions for sustaining the diffusion of EVM are given.

To improve the accuracy of early forecasting the final cost at completion of an ongoing construction project, a new regression-based nonlinear cost estimate at completion (CEAC) methodology is proposed that integrates a growth model with earned schedule (ES) concepts. The methodology provides CEAC computations for project early-stage and middle-stage completion. To this end, this paper establishes three primary objectives, as follows: (1) develop a new formula based on integration of the ES method and four candidate growth models (logistic, Gompertz, Bass, andWeibull), (2) validate the new methodology through its application to nine past projects, and (3) select the equation with the best-performing growth model through testing their statistical validity and comparing the accuracy of their CEAC estimates. Based on statistical validity analysis of the four growth models and comparison of CEAC errors, the CEAC formula based on the Gompertz model is better-fitting and generates more accurate final-cost estimates than those computed by using the other three models and the index-based method. The proposed methodology is a theoretical contribution towards the combination of earned-value metrics with regression-based studies. It also brings practical implications associated with usage of a viable and accurate forecasting technique that considers the schedule impact as a determinant factor of cost behavio