The digitalization of the construction industry has immense potential for dramatically improving the industry’s practices. Concerning current measures in construction project management, the industry is still dependent on traditional construction methods. However, the application of fully automated techniques within the construction industry has not yet been a widespread practice. Thus, this may explain why there is a slow adaption of digital growth within the construction industry and specifically in developing countries. This study is aiming to investigate the acceptance of Building Information Modeling (BIM) and Augmented Reality (AR) integration in the construction industry. To achieve this aim, Technology Acceptance Model 3 (TAM3) was utilized. The scope was narrowed down to four developing counties (Malaysia, Egypt, Saudi Arabia, and Turkey) and a questionnaire survey was developed and distributed between construction professionals in those countries for data collection purposes. Exploratory Factor Analysis (EFA) was used to develop the TAM, and a regression analysis is used to validate it. The developed TAM3 showed that users control over BIM-AR and perception of easiness of use has the highest influence on their perception of the system usefulness, which would positively affect their intention to use the system. Additionally, unlike the findings of the original TAM3, three variables of Image, Perception of External Control, and Voluntariness illustrate new relations which can be considered as a novel outcome. The outcomes of this study can be used to evaluate the acceptance of BIM-AR Integration in the construction industry context, and the developed TAM3 can be used for the development of new BIM-AR applications in developing countries as it can predict the BIM and AR users’ acceptance.

As digitalization leads to the development of the global economy and artificial intelligence stimulates technological innovation, integrating smart management methods into project management is becoming more and more critical to the development of the construction industry. As an influential branch of engineering management, intelligent risk management in the construction field will be a future research direction. Hence, the aim of this study is to find the gaps and future research trends in intelligent risk management field by Systematic Literature Review. In order to achieve these objectives, 436 articles were selected from the WOS and Scopus databases to be analyzed by CiteSpace scientometric software, and the results were classified into collaborative network analysis, co-citation analysis, and public network analysis. From the analysis, China had the highest number of publications, while the United States was the most influential country in this field. The researchers at different institutions in this field have formed research teams despite the lack of collaboration between the authors and their institutions. In co-cited references, the emphasis was on traditional methods and applications of risk analysis, with fewer citations of novel methods. According to the keywords, the clusters of keywords, and the temporal evolution of the keywords, and combining the conceptual model, 5 research gaps areas were discovered. In order to fulfill these challenges and barriers, this study found the future research trends, including: developing digital management platform for intelligent construction management and risk management; building a decision-making system for risk management to find an optimum solution; refining building digital models which would be the basis of digital management platform; identifying and category the characteristic construction risk factors by using machine learning techniques, just like text mining or knowledge graph; building an API to embed decision making system into digital management platform, and the intelligent risk management system in real-time projects to verify its possibility.

“Green Buildings” are essential in being responsive to the challenges of climate change and global warming while inhibiting natural resources degradation. This demand requires specific attention to increase the adoption of green-certified buildings within the construction industry. Innovative tools and techniques are needed to meet global challenges and strategies set for Sustainable Development Goals of 2030 agenda. This paper provides an intensive review of the evolution of green buildings from a sustainable development perspective which investigates the current global adoption of green buildings. Systematic Literature Review (SLR) and Selective Critical Literature Review Analysis (SCLRA) methodologies were adopted focusing on the content analysis to develop more in-depth knowledge. The scope of this study enlightens the sustainable development goals and initiatives. This paper highlighted that there is still inadequate adoption of green buildings and their rating tools on a significant basis in developing countries. This research adds a method towards the better understanding of green buildings and current scenarios that shall be considered for future research.

MATEC Web of Conferences, open access proceedings in Materials science, Engineering and Chemistry