Search results

The study aims to test, measure and quantify the impacts of lean construction and BIM implementation on flow in construction projects.

Detailed control data from a set of 18 high-rise residential construction projects executed between years 2011 and 2020 were analyzed using the construction flow index (CFI), a measure of workflow quality. Seven comparable projects with a diverse range of LPS, BIM, VDC and 5S implementation were selected to compare the impacts of these innovations on flow.

Implementing BIM in the big room and applying the last planner system and other lean construction techniques increased the CFI from 4.31 to 8.12 (on a 10-point scale). Avoiding trades crossing one another's paths between tasks was the most significant aspect of improved flow. Moreover, the benefits of implementing lean practices with BIM or VDC were found to be measurably greater than when these approaches were implemented separately.

The primary limitation of the study is that the degree of confidence in the results is limited by the nature of the case study approach. Although 18 is a respectable number of case study projects, it cannot offer the degree of confidence that a broader, representative sample of projects could. Similarly, the case studies are all drawn from the same construction context (residential apartments) and the same geographic region, which necessarily limits confidence concerning the degree to which the findings can be generalized.

The research is the first of its kind to quantitatively assess the impacts of BIM and lean construction on flow. Use of the CFI to quantify flow quality also highlights the potential value of CFI in providing project managers and planners a clear view of the smoothness or irregularity of flow and of differences between subcontractors' production rates.

In academics and industry, significant efforts have been made to lead planners and control teams in evaluating project performance and control. In this context, numerous control metrics have been devised and put into practice, often with little emphasis on analyzing their underlying concepts. To cover this gap, this research aims to identify and analyze a holistic list of control metrics and their functionalities in the construction industry.

A multi-step analytical approach was conducted to achieve the study’s objectives. First, a holistic list of control metrics and their functionalities in the construction industry was identified. Second, a quantitative analysis based on social network analysis (SNA) was implemented to discover the most important functionalities.

The results revealed that the most important control metrics' functionalities (CMF) could differ depending on the type of metrics (lagging and leading) and levels of control. However, in general, the most significant functionalities include managing project progress and performance, evaluating the look-ahead level’s performance, measuring the reliability and stability of workflow, measuring the make-ready process, constraint management and measuring the quality of construction flow.

This research will assist the project team in getting a comprehensive sensemaking of planning and control systems and their functionalities to plan and control different dynamic aspects of the project.

The perception that the repetitive nature and attributes of mass housing projects (MHPs) induce significant influence on communication among projects teams have persistently been acknowledged without an empirical accentuation. This seemingly untested knowledge tends to limit the predictive accuracy of success and effectiveness of adopted communication style, strategies and models in mass housing particularly due to the incidence of the repetitive attributes. The purpose of this study is to delineate the influence of the repetitive attributes of mass housing projects on communication performance among the project team.

Through the use of questionnaire survey and structural equation modelling analysis, a hypothesized model tested evaluated the effects of the repetitive attributes of mass housing on information flow and information composition communication performance.

In the case of influence on information flow, it was seen to be substantial whereas that of the information composition was moderate.

The findings offer empirical credence to the existing perception and indeed affirm that the repetitive features of MHPs significantly contribute to communication performance related to information flow and information composition among the project team. The implication of these findings is that, practitioners and stakeholders on mass housing are urged to explore bespoke communication methods, medium, strategies and management approaches that fit the MHP attributes and environment to engender managerial and communication efficiencies in the delivery.

Previous studies have postulated that an advance payment system (APS) positively impacts the contractor's working capital and is paramount to ensuring an efficient and effective project cash flow process. However, scant research has been undertaken to empirically establish the cash flow performance and domino effect of APS on project and organisational performance.

The epistemological design adopted a positivist philosophical stance augmented by deductive reasoning to explore the phenomena under investigation. Primary quantitative data were collected from 504 Construction Industry Development Board (CIDB) registered contractors (within the grade bandings 1–9) in South Africa. A five-point Likert scale was utilised, and subsequent data accrued were analysed using structural equation modelling (SEM).

Emergent findings reveal that the mandatory use of an APS does not guarantee a positive project cash flow, an improvement in organisational performance or an improvement in project performance.

The ensuing discussion reveals the contributory influence of APS on positive cash flow and organisational performance, although APS implementation alone will not achieve these objectives. Practically, the research accentuates the need for various measures to be concurrently adopted (including APS) towards ensuring a positive project cash flow and improved organisational and project performance.

There is limited empirical research on cash flow performance and the domino effect of APS on project and organisational performance in South Africa, nor indeed, the wider geographical location of Africa as a continent. This study addresses this gap in the prevailing body of knowledge.

The adoption of green construction concepts in road infrastructure projects is an opportunity to minimise the carbon footprint while boosting the built environment's capacity to promote sustainability. Consequently, this study examines the components of green road construction practices in developing countries such as Ghana.

Using a quantitative research method, four hypothesised constructs identified from the review of relevant literature were tested. The views of 144 quantity surveyors, civil engineers and project managers within Ghana's three road agencies were elicited using a structured close-ended questionnaire. A confirmatory factor analysis (CFA) based on the structural equation model (SEM) was adopted in analysing the data obtained.

The study's results reveal that the identified components: sustainable design, materials and resources, stormwater management and energy efficiency, significantly influence green road construction.

It reveals the critical elements of sustainable road design and construction, aiding organisations, construction companies and legislators in making informed choices on road design and construction.

Results from this study provide empirical evidence lacking in the literature about the main components of green road construction.

The purpose of this paper is to examine how e-procurement (EP) and supply chain technology internalization (SCTI) influence supply chain performance (SCP) through supply chain integration (SCI).

This research analyzed 214 survey responses from project managers who have prior experience in the field of supply chain management. Structural equation modeling was used to analyze the data.

The results show that EP and SCTI positively influence SCI and SCP. The effects of EP and SCTI on SCP are found to be mediated by SCI in the context for the construction industry.

Future studies should focus on quantitative measures of SCP like budget overrun, supply chain efficiency and project success. Further research can be done through the exploration of moderating interactions of the proposed model.

First, the study highlights the importance of SCTI. Supply chain managers should first focus on effective utilization of different technologies used to support supply chain. Second, the research gives the guidelines to the supply chain managers and project managers about the benefits of EP. They should focus on proper implementation of EP in their organizations.

This paper contributes to the literature by proposing and testing the influences of EP and SCTI on SCI. This allows a strategic viewpoint when implementing SCTI, EP systems and SCI, intended to improve SCP.

The purpose of this research is to develop a generic framework of a digital twin (DT)-based automated construction progress monitoring through reality capture to extended reality (RC-to-XR).

IDEF0 data modeling method has been designed to establish an integration of reality capturing technologies by using BIM, DTs and XR for automated construction progress monitoring. Structural equation modeling (SEM) method has been used to test the proposed hypotheses and develop the skill model to examine the reliability, validity and contribution of the framework to understand the DRX model's effectiveness if implemented in real practice.

The research findings validate the positive impact and importance of utilizing technology integration in a logical framework such as DRX, which provides trustable, real-time, transparent and digital construction progress monitoring.

DRX system captures accurate, real-time and comprehensive data at construction stage, analyses data and information precisely and quickly, visualizes information and reports in a real scale environment, facilitates information flows and communication, learns from itself, historical data and accessible online data to predict future actions, provides semantic and digitalize construction information with analytical capabilities and optimizes decision-making process.

The research presents a framework of an automated construction progress monitoring system that integrates BIM, various reality capturing technologies, DT and XR technologies (VR, AR and MR), arraying the steps on how these technologies work collaboratively to create, capture, generate, analyze, manage and visualize construction progress data, information and reports.

Despite several research efforts tackling construction project risks globally, tertiary education building projects are not devoid of experiencing risks with cascading effects on projects. In the past decades, there has been increasing application of linear assessments of risks in construction risk management practices. However, this study aims to assess the influence of risk factors on the success of tertiary education building projects using a structural equation modelling approach. This study will further reinforce the risk factors that require attention because risk factors are not linear but interdependent.

A quantitative research method was undertaken in this study, where data collection was achieved via a structured questionnaire survey. In total, 452 questionnaires were administered to client representatives, consultants and contractors involved in executing tertiary education building projects across five public tertiary education institutions in Ondo State, Nigeria. Of 452 questionnaires, 279 were found usable for the analysis, implying a response rate of 61.73%. The Cronbach α test, average variances extracted and composite reliabilities values show high reliability and internal consistency of the instrument used for data gathering. Furthermore, the study adopted percentile, mean, correlation, regression analysis and structural equation modelling for analyzing the data collected upon which the study’s inferences were based.

The study found that three out of six criteria for measuring the success of tertiary education building projects were significantly affected by risk factors while using the structural equation modelling technique. With this non-linear method of assessment, completion to time was significantly impacted by environmental risk factors. In addition, safety performance was also significantly influenced by logistic, environmental and legal risk factors; furthermore, logistics, design and environmental risks significantly affected profit. However, completion to cost, standard/quality and end-user satisfaction was not significantly affected by the risk factors in tertiary education building projects.

The quantitative data used for the analysis are limited to the tertiary education building projects from selected five tertiary education institutions in Ondo State; therefore, the results do not indicate all tertiary institutions in Nigeria. In addition, the findings are based on building projects that were procured through a competitive tendering arrangement only and thus considered a limitation for this study.

Not all the risks significantly influence the tertiary education building projects. Therefore, risk factors with a significant effect on the success indicators of tertiary education building projects should be prioritized for a successful project. While risk factors have not affected the completion to cost per se, the study implies that the resultant effect of risks on other success indicators could have a cascading effect on these projects in terms of cost and time overruns. These results may assist during the project risk management while also addressing complexity and uncertainty to avoid chaos in a tertiary education building projects.

The study found significant construction risk factors impacting the success of tertiary education building projects using a non-linear methodology, an extension beyond the usual linear method of assessment of risk impacts on the project performance.

This paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the industry stakeholders to measure the construction contract administration (CCA) performance and identify the strengths and weaknesses of the CCA system for running or completed projects.

The research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. In the first phase, contract administration indicators were collected from relevant literature. In the second phase, an online questionnaire was prepared, and data were collected and analyzed using the crisp value of fuzzy membership function, and structural equation modeling (SEM). The fuzzy set was chosen for this study due to the presence of uncertainty and fuzziness associated with the importance of several key indicators affecting the CCA performance. Finally, SEM was used to test and analyze interrelationships among constructs of CCA performance.

The data collected from 336 construction professionals worldwide through an online survey was utilized to develop the fuzzy structural equation model. The goodness-of-fit and reliability tests validated the model. The study concluded a significant correlation between CCA performance, CCA operational indicators, and the process groups.

The contribution of this paper to the existing knowledge is the development of a fuzzy structural equation model that serves as a measurement tool for the contract administration performance. This is the first quantitative structural equation model to capture contract administration performance. The model consists of 93 Construction Contract Administration(CCA) performance indicators categorized into 11 project management process groups namely: project governance and start-up; team management; communication and relationship management; quality and acceptance management; performance monitoring and reporting management; document and record management; financial management; changes and control management; claims and dispute resolution management; contract risk management and contract closeout management.