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This study was conducted to identify, summarise, analyse and categorise mobile device applications (Apps), relevant to the construction industry and to explore their uses and exposure levels.

The research method involved reviewing literature and searching for Apps. The construction Apps were found by developing key phrases. These key phrases were used to develop search strategies, which were then used to find the construction Apps. The Apps found were categorised based on the similarity of their uses.

The 136 Apps identified were summarised, analysed, and categorised into 11 groups of distinct construction operations and tasks. The “Design and Drawing Apps”, “Measurement and Estimation Apps”, “Management Apps”, “All Round Apps” and “Construction Site Apps” recorded 29, 28, 26, 21 and 11 numbers of Apps, respectively. The Autodesk Sketchbook, GPS Field Area Measure, MagicPlan, Measure and TSheets were the top five in terms of the number of downloads. These Apps in terms of their exposure levels in the construction industry record 4.76%, 2.38%, 0.52%, 0.48% and 0.42%, respectively.

This paper provides a catalogue of the continuum of construction Apps for a wide variety of construction operations/activities which are available for construction professionals and provide guidance on their uses to assist in selecting appropriate Apps for specified operation/tasks/activities in the construction industry. Construction professionals may benefit from increased productivity, efficiency and ease of working.

Robotics and automation are successful in construction, health and safety, but costs and expertise hinder their use in developing nations. This study examined mobile apps as a more accessible and affordable alternative.

This descriptive study explored the use of mobile apps in construction, health and safety management. It used a literature review to identify their availability, accessibility, and capabilities. The study consisted of four five stages: searching for relevant apps, selecting them based on versatility, examining their specific functions, removing untested apps and discussing their functions based on empirical studies.

A comprehensive literature review identified 35 mobile apps that are relevant to health and safety management during construction. After rigorous analysis, eight apps were selected for further study based on their relevance, user friendliness and compliance with safety standards. These apps collectively serve 28 distinct functions, including first-aid training and administration, safety compliance and danger awareness, safety education and training, hazard detection and warnings.

This study suggests that mobile apps can provide a cost-effective and readily accessible alternative to robotics and automation in health and safety management in construction. Further research is needed to accurately assess the efficacy of these apps in real-world conditions.

This study explored the use of apps in health and safety management, highlighting their diverse capabilities and providing a framework for project managers, contractors and safety officers to select suitable apps.

This study aims to investigate stakeholders' perception of the most prevalent unethical practices in the Ghanaian construction industry.

Data used for this study came from a cross-sectional survey (questionnaire), which was administered to 273 stakeholders in the construction industry using convenience sampling technique. The data were analyzed using statistical software package SPSSv17 to determine the most prevalent unethical practices. The ranking factor was calculated based on relative importance index (RII) value.

The results of this study reveal that corruption was perceived by major stakeholders as the most prevalent unethical behavior (RII = 0.82) followed by bribery (RII = 0.79). Political interference and kickback came third (RII = 0.77) and fourth (RII = 0.74), respectively. However, the least prevalent unethical behaviors were extortion (RII = 0.56), workplace violence (RII = 0.57), alcohol abuse (RII = 0.59) and harassment (RII = 0.59). The findings suggest that when the various groupings were taken into consideration separately, the differences in their perceptions were obvious.

Data for this study were collected from construction stakeholders in Ghana who were conveniently sampled. As a result, in reference to the sampling framework which focused on major stakeholders in only two regions of Ghana does not sufficiently ensure full generalization of the results.

The findings of the study provide significant information for construction organizations and practitioners regarding unethical practices, which are most prevalent in the Ghanaian construction industry. Construction organizations and practitioners seeking to mitigate the negative effect of unethical practices on their performance should focus on educating construction workers on how to avoid corrupt practices and report same to the authorities. Also, ethics training programs must be instituted for staff coupled with constant and random inspection and checking of ethical compliance, verbal promotion and praise for ethical conduct and in some cases increase in employees pay.

This paper is one of the first to have accessed the views of broader stakeholders, i.e. consultants, contractors, professionals, suppliers, regulators, clients and construction workers in the construction industry regarding the most prevalent unethical practices in the Ghanaian construction industry in one study. This study, therefore, enriches the current literature by providing additional dimension to the understanding of unethical practices in the Ghanaian construction industry.

The importance of robotics and automation (R&A) in delivering a safe built environment cannot be overemphasised. This is because R&A systems can execute a hazardous job function that the construction workforce may not execute. Based on this knowledge, this study aims to present the result of an assessment of the impediments to the deployment of R&A for a safe and healthy construction environment.

This study adopted a post-positivist philosophical stance, using a quantitative research approach and a questionnaire administered to construction professionals in South Africa. The data gathered were analysed using frequency, percentage, mean item score, Kruskal–Wallis H-test, exploratory factor analysis and partial least square structural equation modelling (SEM).

This study revealed that the impediments to the deployment of R&A could be grouped into: industry, technology, human and cost-related factors. However, SEM assessment showed that only the industry, human and cost-related factors would significantly impact attaining specific health and safety-related outcomes.

The findings offer valuable benefits to construction organisations as the careful understanding of the identified impeding factors can help lead to better deployment of R&A and the attainment of its inherent safety benefits.

This study attempts to fill the gap in the shortage of literature exploring the deployment of R&A for a safe construction environment, particularly in developing countries like South Africa, where such studies are non-existent. This paper, therefore, offers a theoretical backdrop for future works on R&A deployment, particularly in developing countries where such a study has not been explored.