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This paper aims to study the reaction of construction project managers in coping with workforce productivity challenges that arise from the COVID-19 pandemic.

Quantitative research via questionnaires targeting the project managers from G7 contractor companies in Malaysia was carried out in the data collection process. In total, 182 responses have been analysed descriptively and inferentially using SPSS software.

The research discovers that most of the construction projects and their workforce productivity were adversely impacted by the COVID-19 pandemic. Besides, the strategies adopted by project managers in Malaysia and the ranking of strategies based on their effectiveness were indicated.

The findings of this research have contributed to a new understanding of the construction workforce productivity during the COVID-19 era from the perspective of project managers in Malaysia. A guideline established from the ranking of strategies would be useful to ensure the survival of the industry in Malaysia aftermath of the COVID-19 pandemic.

This study aims at introducing a method based on the failure mode, effects and criticality analysis (FMECA) to aid in selecting the most suitable formwork system with the minimum overall cost.

The research includes a review of the literature around formwork selection and analysis of data collected from the building construction industry to understand material failure modes. An FMECA-based model that estimates the total cost of a formwork system is developed by conducting a two-phased semi-structured interview and regression and statistical analyses. The model comprises material, manpower and failure mode costs. A case study of fifteen buildings is analysed using data collected from construction projects in the UAE to validate the model.

Results obtained indicate an average accuracy of 89% in predicting the total formwork cost using the proposed method. Moreover, results show that the costs incurred by failure modes account for 11% of the total cost on average.

The analysis is limited to direct costs and costs associated with risks; other costs and risk factors are excluded. The proposed framework serves as a guide to construction project managers to enhance decision-making by addressing the indirect cost of failure modes.

The research proposes a novel formwork system selection method that improves upon the subjective conventional selection process by incorporating the risks and uncertainties associated with the failure modes of formwork systems into the decision-making process.

The purpose of this paper is to present a newly developed multi-objective optimization method for the time, cost and work interruptions for repetitive scheduling while considering uncertainties associated with different input parameters.

The design of the developed method is based on integrating six modules: uncertainty and defuzzification module using fuzzy set theory, schedule calculations module using the integration of linear scheduling method (LSM) and critical chain project management (CCPM), cost calculations module that considers direct and indirect costs, delay penalty, and work interruptions cost, multi-objective optimization module using Evolver © 7.5.2 as a genetic algorithm (GA) software, module for identifying multiple critical sequences and schedule buffers, and reporting module.

For duration optimization that utilizes fuzzy inputs without interruptions or adding buffers, duration and cost generated by the developed method are found to be 90 and 99 percent of those reported in the literature, respectively. For cost optimization that utilizes fuzzy inputs without interruptions, project duration generated by the developed method is found to be 93 percent of that reported in the literature after adding buffers. The developed method accelerates the generation of optimum schedules.

Unlike methods reported in the literature, the proposed method is the first multi-objective optimization method that integrates LSM and the CCPM. This method considers uncertainties of productivity rates, quantities and availability of resources while utilizing multi-objective GA function to minimize project duration, cost and work interruptions simultaneously. Schedule buffers are assigned whether optimized schedule allows for interruptions or not. This method considers delay and work interruption penalties, and bonus payments.

This study aimed at developing and empirically testing a system dynamics causal loop (SDCL) model for investigating factors related to the risk of cost overruns, associated with the performance of construction projects in developing countries.

Using data derived from the Ghanaian construction industry (GCI), a conceptual system dynamics model was hypothesised and empirically tested.

Supported by empirical evidence, the study established that the low technical capacity of consultants is the underlying cause of cost overruns in government projects. There is a strong proof of the relationship between the results of the SDCL model and poor contract planning and supervision, change orders, competence of the project team and the lack of effective coordination amongst the contractual parties.

The final SDCL model has revealed key risk components that would require standard mitigation measures in order to achieve “acceptable success” in construction projects.

The study presents an interactive approach for construction practitioners in developing countries to prioritise the causes of cost overruns in order to initiate quick responses.

Construction material management plays a significant role in achieving successful project delivery of a construction project. However, ineffective material management is a critical issue in the construction industry, especially in developing economies, of which Sri Lanka is not an exception. Therefore, this study aims to focus on exploring the causes of ineffective material management practices in civil engineering construction projects in Sri Lanka and their impact on successful project delivery.

Furthermore, the literature findings were validated through the preliminary survey. Subsequently, a quantitative research approach was adopted to pursue the research aim. Questionnaire responses were obtained from 215 construction professionals in civil engineering projects who were selected using the judgemental and snowball sampling techniques. Collected data were analysed through Statistical Package for the Social Sciences (SPSS) V26 and Microsoft Excel 2016.

Moreover, the study revealed that material price fluctuation, shortage of material in the market, delay in material procurement, inadequate planning and delays in material delivery are the most frequent causes of ineffective material management in civil engineering projects. In addition, it was evidenced that most ineffective material management practices cause both time and cost overruns in civil engineering construction projects. Most respondents emphasized inadequate planning, inadequate qualified and experienced staff, lack of supervision and lack of leadership as the causes for both time and cost overruns.

The study was concluded by proposing strategies for effective material management. Education/training/enlightenment of staff in charge of materials management, use of software like Microsoft Project, Primavera and similar software to eliminate manual errors in material management, and providing clear specifications to suppliers were the most agreed strategies for effective material management in civil engineering construction projects.

The purpose of this paper is to mine information on the construction process of previous projects to develop a construction plan that meets both quality requirements and schedule constraints.

This paper uses a failure mode and effect analysis to evaluate the construction quality of 311 apartments in Shanghai. The authors also evaluate construction-scheduling control using the earned value management technique and implement an artificial neural network to correlate the results. The authors then develop a quality risk and schedule correlation model based on Big Data. The model can predict the relationship between the planned schedule and the project quality risk using multiple variables such as the number of layers, the schedule performance index and budget costs.

The methodology offers an innovative approach for assessment on the relationship between quality risk and project schedule. The authors have also built a multiple regression analysis model for comparative purposes with the model. The results show that the proposed model can better describe the relationship. The model can provide a quantitative quality risk value that changes with the planned schedule, as well as help project managers to understand the relationship between quality risk and project scheduling more accurately.

The research approach only focuses on quality risk under the impact of scheduling. Future efforts might focus on developing a model that connects failure models with project schedules and costs in order to improve the effort of quality management.

The model based on Big Data in this paper is developed using real projects and reflects the relationship between project quality risk and scheduling in real environments. The created application provides support for project managers to develop and adjust quality plans and schedules, thereby reducing deviations in quality and scheduling objectives.

The authors make full use of historical project data from the perspective of both quality and schedule management, and provide a novel method to intelligently and objectively analyze the relationship between quality risk and scheduling.

The purpose of this research is to identify the constraints and restrictions and their impact on the construction projects in Saudi Arabia from three key participants' perspectives for the planning stage.

Using a descriptive-analytical approach, this research described and analyzed the frequency and severity of failure factors in construction projects in the planning stage using a five-Likert scale questionnaire in Saudi Arabia construction between 2019 and 2020. A total of 100 experts from contractors, consultants and owners were included in the study.

The findings have shown that time dispute was the major factor affecting the projects to be failed. Similarly, cost overrun and total abandonment have an impact on project failures. The findings have indicated that government officials were involved in delaying the projects while contractors also failed in the project deliveries.

Further research is needed to investigate the relationship between failure characteristics and project success measures in the same stage, in addition to, factors of failure for construction projects' life-cycle stages.

The findings have indicated that government officials were involved in delaying the projects while contractors also failed in the project deliveries.

The frequent occurrence of hazards, especially on junior staff in developing countries, is a major setback on project delivery. This is because the safety of the construction workers' environment influences their performance. Although a range of literature has addressed safety measures on construction sites, how far is their compliance with personal protective equipment (PPE) on junior staff is yet to receive in-depth studies in Nigeria. Therefore, this study investigated the level of Nigerian construction companies' compliance and proffered possible solutions that intend to improve the implementation of PPE on junior staff.

The data were collected via observation and face-to-face interviews among the selected companies' staff in Lagos and Abuja. The interview is to determine their perceptions regarding compliance with PPE on construction sites.

Findings show that compliance with PPE on junior staff, especially the indigenous construction companies, is poor. This is because monitoring and enforcement are lax by government regulatory agencies. Also, findings show that many international construction companies ensure that junior workers obey site safety measures those mitigate the chance of hazard occurrence during construction as a policy.

This paper data collection is limited to Abuja and Lagos, and a phenomenology type of qualitative research was employed, but this does not weaken the robustness. Future research is needed to consider adopting a mixed-methods approach.

As part of this paper's implications, findings recommended that the construction company's safety regulations and policies should be robust and enriched to mitigate site-related hazards via a framework or mechanism, but the government agencies/ministries need to give the enabling direction, strict monitoring and enforcement of PPE on junior staff. This paper intends to stir up the appropriate government authorities for possibly passing the Labour, Safety, Health and Welfare Bill 2012 (updated in 2016) Act into law.

This study demonstrates that the government agencies concern with approval and enforcement of construction site safety needs to reawaken to their responsibilities because of the lax implementation in many sites, especially in indigenous construction sites.

Due to its key role in the successful delivery of construction projects, construction productivity is one of the most researched topics in construction domain. While the majority of previous research is focused on the productivity of labor-intensive activities, there is a lack of research on the productivity of equipment-intensive activities. The purpose of this paper is to address this research gap by developing a comprehensive list of factors influencing the productivity of equipment-intensive activities and determining the most influential factors through interview surveys.

A list of 201 factors influencing the productivity of equipment-intensive activities was developed through the review of 287 articles, selected from the ten top-ranked construction journals, by searching for construction productivity in the articles’ titles, abstracts or keywords. Next, the most influential factors were determined by conducting interview surveys with 35 construction experts. To ensure that the interviewees were aware of the research objectives and the distinction between labor- and equipment-intensive activities, an information session was held prior to conducting the surveys, and the surveys were conducted in interview format to allow for clarification and discussion throughout the process.

Project management respondents identified foreman-, safety- and crew-related factors as the categories with the most influence on productivity; tradespeople respondents identified foreman-, equipment- and crew-related factors as the most influential categories. In total, 14 factors were identified, for which there was a significant difference between the perspectives of project management and tradespeople regarding the factors’ influence on productivity.

This paper provides a comprehensive list of factors influencing the productivity of equipment-intensive activities. It identifies the most influential factors through an interview survey of 35 construction experts, who are familiar with the challenges of equipment-intensive activities based on their experience with such activities in the industrial construction sector of Alberta, Canada. Additionally, the differences between the factors that influence the productivity of labor- and equipment-intensive activities are discussed by comparing the findings of this paper with previous research focused on labor intensive activities.

The purpose of the present study is to examine the failure factors for the construction firms in a developing nation. Furthermore, the comparison of failure factors for private and government firms are evaluated.

In the present study, comparison between private and government construction firms is done in the context of a construction firm failure. About 60 construction firms were selected in and around the Nashik region for the investigation, where a simple multi-attribute rating technique (SMART) is used for analysis purpose.

It is found that for private firms (private contractors and builders) lack of experience is the major factor for failure of the business as against lack of managerial experience is a critical factor in case of a government contractor.

The outcome of the present study will be used to guide the policymakers during the implementation of governmental and private projects in order to lessen the construction project failures.

Construction company failure is an important aspect in developing countries like India. The limited studies were available in literature which shows failure factors for government and private firms and distinguished them. Hence, the present study extends the construction company failure literature by focusing on government and private firms. Also, the study provides some theoretical guidelines for management to avoid construction company failure in India.