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Natural hazards occur frequently in Indonesia. When post-disaster recovery is prolonged and complicated, it is necessary to provide accommodations for homeless refugees in disaster areas. Since a transitional housing solution includes planning, design and execution phases, the design phase implements the decisions made in the planning phase and also affects the results of the execution phase. Therefore, the purpose of this paper is to assist communities to effectively deal with various processes during the design phase involving transitional housing solutions.

Based on eight factors associated with “building back better” and ten principles of transitional housing, the paper identified three problems in the design phase: inappropriate selection of settlement sites, improper representation of housing facilities and ineffective scheduling of construction projects. To resolve these problems, this study integrated a geographic information system (GIS), three-dimensional (3D) building models and construction project management tools to assess settlement sites, confirm housing facilities and configure construction projects, respectively.

After this study tested conventional methods (e.g. paper-based maps, drawings, reports) and the proposed approach, the results revealed that communities can appropriately determine settlement sites based on the GIS. The 3D building models enabled the communities to understand the external and internal layouts of housing facilities. Through construction project management, the communities could consider construction activities immediately when preparing the execution phase for transitional housing solutions.

This study offers a useful reference for similar applications in post-disaster reconstruction and management.

The purpose of this paper is to explore the strengths and weaknesses of top‐down management in a university that has embraced globalisation with a strong market‐led ethos and to suggest the ways in which adjustments might be made to top‐down management processes.

The paper examines the strengths and weaknesses of top‐down management by drawing upon relevant literature and further explores its related problems through a case study of a department in the universities of one country.

Several studies have concluded that top‐down management through its exercise of direct power is still a preferable means of reducing the chaos resulting from teachers caught up in de‐stabilising and confusing change processes. In the current globalisation context, it is also concluded that the success of top‐down management is predicated upon a willingness or readiness of the faculty to allow it to exist.

Although this paper explores the strengths and weaknesses simply through literature, it provides a case study to understand the problems with top‐down management in higher education. The case study illustrates some of the issues that may or may not be proved by ensuing or larger‐scale research to be generalisable, but for the specifics of this case the issues discussed would appear to be important.

This paper recognizes the importance of top‐down management to higher education in the global society and sheds light on how to make top‐down management more efficient in higher education.

Augmented reality (AR) has become one of the most promising technologies in construction since it can seamlessly connect the physical construction environment and virtual contents. In view of the recent research efforts, this study attempts to summarize the latest research achievements and inform future development of AR in construction.

The review was conducted in three steps. First, a keyword search was adopted, and 546 papers were found from Scopus and Web of Science. Second, each paper was screened based on the selection criteria, and a final set of 69 papers was obtained. Third, specific AR applications and the associated technical details were extracted from the 69 papers for further analysis.

The review shows that: (1) design assessment, process monitoring and maintenance management and operation were the most frequently cited AR applications in the design, construction, and operation stages, respectively; (2) information browser and tangible interaction were more frequently adopted than collaborative interaction and hybrid interaction; and (3) AR has been integrated with BIM, computer vision, and cloud computing for enhanced functions.

The contributions of this study to the body of knowledge are twofold. First, this study extends the understanding of AR applications in the construction setting. Second, this study identifies possible improvements in the design and development of AR systems in order to leverage their benefits to construction.

The Operations and Maintenance (O&M) cost of a facility is typically 60–85% of the total life cycle cost of a building whereas its design and construction cost accounts for only 5–10%. Therefore, enhancing and optimizing the O&M of a facility is a crucial issue. In addition, with the increasing complexities in a building's operating systems, more technologically advanced solutions are required for proactively maintaining a facility. Thereby, a tool is needed which can optimize and reduce the cost of facility maintenance. One of the solutions is Augmented or Mixed Reality (AR/MR) technologies which can reduce repair time, training time and streamline inspections. Therefore, the purpose of this study is to establish contextual knowledge of AR/MR application in facilities operation and maintenance and present an implementation framework through the analysis and classification of articles published between 2015 and 2022.

To effectively understand all AR/MR applications in facilities management (FM), a systematic literature review is performed. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol was followed for searching and describing the search strategies. Keywords were identified through the concept mapping technique. The Scopus database and Google Scholar were employed to find relevant articles, books and conference papers. A thorough bibliometric analysis was conducted using VOS Viewer and subsequently, a thematic analysis was performed for the selected publications.

The use of AR/MR within facilities O&M could be categorized into five different application areas: (1) visualization; (2) maintenance; (3) indoor localization and positioning; (4) information management and (5) indoor environment. After a thematic analysis of the literature, it was found that maintenance and indoor localization were the most frequently used research application domains. The chronological evolution of AR/MR in FM is also presented along with the origin of publications, which showed that the technology is out of its infancy stage and is ready for implementation. However, literature showed many challenges hindering this goal, that is (1) reluctance of the organizational leadership to bear the cost of hardware and trainings for the employees, (2) Lack of BIM use in FM and (3) system lagging, crashing and unable to register the real environment. A preliminary framework is presented to overcome these challenges.

This study accommodates a variety of application domains within facilities O&M. The publications were systematically selected from the existing literature and then reviewed to exhibit various AR/MR applications to support FM. There have been no literature reviews that focus on AR and/or MR in the FM and this paper fills the gap by not only presenting its applications but also developing an implementation framework.

Notwithstanding the Geographical Information System (GIS) being a fast-emerging green area of a digital revolution, the available studies focus on different subject areas of application in the construction industry, with no study that clarifies its knowledge strands. Hence, this systematic review analyses GIS core area of application, its system integration patterns, challenges and future directions in the construction industry.

A systematic review approach was employed, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. A total of 60 articles published between 2011 and 2022 were identified, thoroughly reviewed and analysed using thematic analysis.

The analysis revealed spatial planning and design, construction-task tracking, defect detection and safety monitoring as its four main application-based areas. The findings showed that the adoption of GIS technology is rapidly expanding and being utilised more in building projects to visual-track construction activities. The review discovered an integrated pattern involving data flow from a device and window-form application to GIS, the pathways to data exchange between platforms to platforms, where ArcGIS is the most used software. Furthermore, the study highlighted the lack of interoperability between heterogeneous systems as the crux impediment to adopting GIS in the built environment.

The research provides a deep insight into possible areas where GIS is adopted in the construction industry, identifying areas of extensive and limited application coverage over a decade. Besides, it demystifies possible pathways for future integration opportunities of GIS with other emerging technologies within the construction industry.

The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain.

A scoping review was conducted using six inclusive and exclusive criteria agreed upon by the author team. The collected studies, which focused on the adoption of AI in entrepreneurship education, were analysed by the team with regards to various aspects including the definition of intelligent technology, research question, educational purpose, research method, sample size, research quality and publication. The results of this analysis were presented in tables and figures.

Educators introduced big data and algorithms of machine learning in entrepreneurship education. Big data analytics use multimodal data to improve the effectiveness of entrepreneurship education and spot entrepreneurial opportunities. Entrepreneurial analytics analysis entrepreneurial projects with low costs and high effectiveness. Machine learning releases educators’ burdens and improves the accuracy of the assessment. However, AI in entrepreneurship education needs more sophisticated pedagogical designs in diagnosis, prediction, intervention, prevention and recommendation, combined with specific entrepreneurial learning content and entrepreneurial procedure, obeying entrepreneurial pedagogy.

This study holds significant implications as it can shift the focus of entrepreneurs and educators towards the educational potential of artificial intelligence, prompting them to consider the ways in which it can be used effectively. By providing valuable insights, the study can stimulate further research and exploration, potentially opening up new avenues for the application of artificial intelligence in entrepreneurship education.

In recent years, the labor consciousness is gradually valued. During the process of pursuing sustainable operation, the enterprises treat occupational hazard risk as the waste of cost. The purpose of OHSAS 18000 occupational security and health management system is to systematically establish the business managerial measures in terms of occupational security and calamity prevention. This research proceeded with questionnaire analysis with respect to the relationship between the OHSAS 18000 system implementation and competitiveness in Taiwan’s industries. The research result revealed that there was significant relationship between Taiwan firms’ execution of OHSAS 18000 system and industry competitiveness. Thus, the enterprises can decide the proper managerial plans according to the result of their own risk evaluation to prevent the happening of accidents and reduce the operational cost. They can thus completely control business occupational hazard risk through “systematic” management.

This research topic evaluates the effectiveness and importance of environmental protection in the 21st century in light of the increasing demand on the earth’s natural resources and the pressures on economic and industrial development to provide dynamic power. As the world and our fellow citizens become more conscious of environmental protection, companies are under greater pressure whilst pursuing economic growth. Therefore, domestic manufacturers have been devoting efforts to promote environmental management. This research conducts survey using questionnaires on the operational performance of the manufacturers who have ISO 14000 series accreditation and certification. The survey considers five dimensions/functions within a manufacturer, financial management, human resource management, production management, and marketing management. A total of 35 indices are used for analysis of the effects that the location, history, industry, number of employees, amount of capital, and revenue may have on the performance. This research targets the manufacturers approved of ISO 14000 series certification by Environment Adminstration Association. The statistical methods deployed are descriptive statistics, T‐test, and single factor analysis of variance used for analysis. The conclusions reval that a certain level of performance has been achieved in every dimension. After T‐test, all the indices have reached a significant level. The indications are that ISO 14001 benefits all manufacturers the level of benefits however varies from company to company.