The fourth industrial revolution (4IR) era also known as digital age is central to the advancement of the construction industry as the industry is currently facing a myriad of challenges, including poor productivity and project failure. Therefore, there is an urgent need for industry to adopt 4IR innovations to increase the building business’s performance. The study explored the relationship between the critical barriers to 4IR innovations to foster sustainable development. The study embraced a numerical exploration approach which employed a questionnaire to obtain information from building industry experts. The questionnaire data were used to classify the 4IR barriers into policy and structure, readiness, and acquisition, using Exploratory Factor Analysis (EFA). Likewise, a predictive model was developed using Structural Equation Modelling-Partial Least Square (SEM-PLS). It explained the relationship between the barrier categories and the barriers to 4IR innovation adoption for sustainable development. The results showed that policy and structure were critical components of 4IR adoption that the stakeholders of the construction industry must pay close attention to. The study also provided valuable areas for future research to enhance 4IR innovation adoption for sustainable development.

The advent of digitalization has brought many benefits to all sectors of the economy, including construction. When fully implemented, various Fourth Industrial Revolution (4IR) tools have the potential not only to improve project planning and execution, but also to enhance project performance. This study therefore investigated the critical factors for the adoption of 4IR technologies in the construction industry, with the aim of promoting sustainable construction project delivery. The study was conducted using a questionnaire sent to experts in the construction industry. The data collected were analyzed using exploratory factor analysis (EFA) and categorized into operational, management, and demographic variables. Partial Least Square Structural Equation Modeling (PLS-SEM) was used for model development using the four groups of data. In this way, variables that were not significant to the model were identified. Judging from the analysis, there is a need for proper user training in engineering tools in the construction industry. This is one of the drivers of the adoption of 4IR in the construction industry. In addition, the professionals, contractors, authorities, and other stakeholders responsible for managing projects in the architecture, engineering, construction, and operations (AECO) industry should ensure effective coordination and collaboration between participants in the construction industry.

The Orang Asli community, Orang Asli Malaysia, has long faced socioeconomic challenges due to being marginalized and isolated from mainstream society. However, the government’s efforts to implement socioeconomic development programs have brought significant positive changes to their communities. This paper examines the impact of the government-led program on the Orang Asli community, particularly in settlement, economy, and social. This study focuses on the Organized Settlement Program, Economic Development Program and Social Development Program. This study uses data from government reports, academic publications, and interviews with members of the Orang Asli community. Findings show that government-led programs have increased access to education, better economic opportunities, and better health care services for Aboriginal people. The study also highlighted the challenges that remain in trying to fully address the socioeconomic gap the Orang Asli community faces. Overall, this paper provides insight into the transformative power of government-led programs in addressing the socioeconomic challenges faced by marginalized communities and the importance of continued efforts to promote equitable and sustainable development.