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The purpose of this paper is to develop a structural relationship model to study the relationship between causes and effects of poor communication and information exchange in construction projects using Smart-PLS.

The first method of this research is to identify the causes and effects factors of poor communication in construction projects from the extant of literature. The data used to develop the model was collected using a questionnaire survey, which targeted construction practitioners in the Malaysian construction industry. A five-point Likert type scale was used to rate the significance of the factors. The factors were classified under their relevant construct/group using exploratory factor analysis. A hypothetical model was developed and then transformed into Smart-PLS in which the hypothetical model suggested that each group of the cause factors has a direct impact on the effect groups. The hypothesis was tested using t-values and p-values. The model was assessed for its inner and outer components and achieved the threshold criterion. Further, the model was verified by engaging 14 construction experts to verify its applicability in the construction project setting.

The study developed a structural equation model to clarify the relationships between causes and effects of poor communication in construction projects. The model explained the degree of relationships among causes and effects of poor communication in construction projects.

The published academic and non-academic literature introduced many studies on the issue of communication including the definitions, importance, barriers to effective communication and means of poor communication. However, these studies ended up only on the general issue of communication lacking an in-depth investigation of the causes and effects of poor communication in the construction industry. The study implemented advanced structural modeling to study the causes and effects. The questionnaire, the data and concluding results fill the identified research gap of this study. The addressed issue is also of interest because communication is considered one of the main knowledge areas in construction management.

A key factor adversely affecting contractor social networking performance is the improper handling and information management of contractor’s services delivery on websites. Contractor social networking is particularly problematic on industrialised building system (IBS) infrastructure maintenance projects where contractor’s certified quality product and firms are not matched with maintenance specialisation services. The paper aims to discuss this issue.

This paper reports on the early stages of research which is developing a new information and communications technology (ICT)-based approach to managing contractor social networking on IBS infrastructure maintenance schemes. As a precursor to this work, the paper reviews current contractor social networking websites practices on IBS infrastructure maintenance projects and explores the ICT tools and techniques currently being employed on such projects.

The findings reveal the need for more sophisticated contractor social networking websites solutions which accord with the needs of IBS infrastructure maintenance schemes.

The paper concludes by presenting a research framework for developing such a system in the future.

BIM research to date has in general zeroed in on featuring the significance of BIM-enabled integration and collaboration (BIMIC) rather than giving exact proof of its occurrence. Accordingly, this research quantitatively explored the determinants of BIMIC in South Africa.

This research conceptualized a four-pillar model of BIM-enabled integration and collaboration. The speculations in the model were examined using SEM-MLE.

The aftereffects of the SEM-MLE demonstrated that network communication, knowledge sharing, and transfer, information sharing and exchange and trust-based relationships are critical determinants of BIMIC. The model's prescient power demonstrates an acceptable validity, and the boundary gauges showed that all the hypotheses were measurably huge.

This research gives a hypothetical premise for further investigation of BIMIC by supporting the postulations on the occurrence of collaboration and integrations among the BIM-SCM.

The idea investigated involving SEM in this research gives a holistic view to the BIM managers in arranging BIM-based activities and overseeing BIM cycles and supply chain members. It likewise offers rules and structures for accomplishing and overseeing integration and collaboration among the BIM supply chain members.

Despite 20 years of exploration on the BIM concept and adoption, no idea has been given to clarify the determinants of integration and collaboration as a BIM cycle. The four-pillar model of BIMIC created and tested in this research clarified BIMIC and contributed a new model to the current literature on the BIM process.

The purpose of this paper is to emphasise the importance of high levels of trust and collaboration for increasing the likelihood of project management (PM) success. However, the link between these three constructs remains unclear.

In this study, the authors use structural equation modelling (SEM) based on the findings from an international survey of 151 project practitioners to demonstrate the significance of project team trust and collaboration for increasing the likelihood of PM success.

The results indicate that PM success becomes more likely as the degree of collaboration improves which, in turn, is influenced by an increase in the level of trust between team members. The two factors of PM success are project performance and knowledge integration and innovation. The six factors of the degree of collaboration that were studied are physical proximity, commitment, conflict, coordination, relationships and incentives. The three factors of the level of trust investigated are expectations, knowledge exchange and imported trust.

The results of the study are expected to provide insight for project practitioners to increase the likelihood of PM success by taking cognisance of the factors that influence collaboration and trust. The results of the study may also provide insight into teaching and learning in tertiary education, in terms of professionalism and integrity issues.

This paper presents a new perspective for investigating PM success. SEM techniques are used to determine the likelihood of PM success by promoting trust and collaboration in the project team. This unique approach highlights the “human factors” that influence perceived PM success which should benefit both researchers and practitioners.

Considerable research has shown the value of Inquiry-Based Learning (IBL) regarding student engagement and motivation, depth of learning, and cognitive flexibility. Student collaboration is one component of this approach, since students must communicate and work together inside and outside of class time when engaging with an IBL project. Choosing a mobile learning tool can benefit student collaboration in so far as the tool enables anytime/anywhere collaborative learning. This study looked at how 118 Emirati undergraduate students in a government-sponsored university in the United Arab Emirates chose to collaborate in an IBL semester-long assignment. Unlike some approaches that dictate the technology selection to students (Barczyk & Duncan, 2013; Prescott, Wilson & Becket, 2013), in this project course instructors gave the students autonomy to choose the best mobile learning tools for their group. The study used a mixed-methods approach to collect data on which tools students perceived as best for IBL. Participants were surveyed three times about which tool they preferred for university work: a pre-project survey, a mid-project survey, and post-project survey. Results show that students changed their preferred tool to WhatsApp over the course of the semester. A focus group with each course section provided qualitative data as to why students preferred WhatsApp. The students also delivered poster presentations as to how WhatsApp helped them complete their community-based IBL projects. This study will show how WhatsApp can be a successful mobile learning tool for student collaboration in IBL.

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.

The purpose of this article is to identify the critical success factors (CSFs) of information technology (IT) projects using cloud computing. CSFs are variables that can influence the success of projects and therefore need to be identified and managed appropriately.

This is an exploratory qualitative study with 23 experts in cloud computing projects through semi-structured interviews. The data was analyzed using content analysis.

The results present a list of CSFs for projects in a cloud computing environment. The study demonstrated that the CSF with greater relevance to cloud projects is the team’s technical capacity, followed by the support of senior management and the team’s soft skills. In addition, results demonstrated that contract item management is a limiting factor for cloud projects.

The sample comprised only Brazilian experts, so it may not represent the same scenario as in other locations. The CSF ratio for cloud computing projects may vary depending on the company’s maturity in projects of this nature.

The CSF relationship can guide managers in properly conducting cloud computing projects, contributing to minimizing the risks and challenges that may interfere with the project.

The relationship of the CSFs in cloud computing projects proposed fills a gap in studies specifically related to this context and tries to minimize project managers’ stress.

Contract items for the cloud context are added to the CSF literature in IT projects, which have not been addressed so far.

The aim of the study is to explore how the different combinations of traditional and agile project management (APM) enhance project success under different levels of teamwork quality.

The study used system approach, using cluster analysis, to examine the relationships between project success and traditional project management (TPM) and APM under different levels of teamwork quality. A cluster analysis approach provides a method to examine how the entire range of variables combine to improve project success.

The results of the study revealed three profiles of project managers’ differences in teamwork quality and type of project management used: pure agile, TPM leaning hybrid and APM (APM) leaning hybrid. The results found evidence that TPM leaning hybrid received the highest score in project success.

Organizations should develop teamwork skills to learn to use both TPM and APM so that specific risks presented by one approach use are compensated by the use of other. Finally, organizations should have good TPM practices before planning to implement agile practices.

The findings of this study suggest that TPM with high teamwork quality supported by APM can enhance project success. APM supported by TPM contributes to improved project success.