Future construction projects will need the implementation of industry 4.0 and Internet-of-Things (IoT) technologies. The construction sector has, however, falling behind other industries in the application of these technologies and is currently facing considerable challenges. One of the industries that lag behind in the use of new innovative technological tools is the construction industry. This study reviews the research work in industry 4.0 and the Internet of Things as they relate to construction and examines key Ghana-based construction professionals and firms to ascertain their level of understanding of these emerging innovative technologies, including the challenges and benefits associated with their implementation. An extensive review of pertinent literature was done to help identify the important paradigms and variables which were cautiously tested. Adopting a quantitative research approach, the attained variables were used to design into a close-ended questionnaire. The sample frame was a survey of people from 154 construction experts and researchers with good standing by using the purposive sampling. Relative importance index (RII) analysis was used to analyzed the data. It was discovered from the findings that smart construction was the most popular industry 4.0 technology in the Ghanaian construction industry. The most important benefit of these technologies is that they will add sustainable policy requirements to tendering, with the most pressing technology being the lack of talent and skills in using industry 4.0 and IoT technologies. The scope of this research is based on the questionnaire survey, proving a sustainable pathway to the construction industry community, which creates its own significance by including key stakeholders and those affected by these technologies.

Public construction infrastructure projects have been recognized as one of the fundamental tools in enhancing community socio-economic conditions for community development. The purpose of this study is to empirically investigate the impacts of socio-economic factors on community development of rural regions. Through a questionnaire survey administrated in Pakistan, public construction practitioners’ views were sought and evaluated. Empirical support for the argument originated from the data collected from 213 respondents in Pakistan’s public construction industry. The questionnaire’s data were evaluated employing the partial least square structural equation modeling (PLS-SEM). The study’s findings showed that economic and social factors influence the community development of rural regions. The result obtained from PLS-SEM proposed a more viable method to realize community development and objectives. The study’s results have offered precious lessons for local authorities, policymakers, and project stakeholders to strengthen the drive for achieving community development goals. Strategies supporting community development in rural regions are indispensable for local community development. This study provides empirical confirmation for the understanding and combining the community development concept; it illuminates absent knowledge about community development, especially in rural regions. This is one of the few studies investigating the influencing dimensions of community development in rural regions. To the authors’ best knowledge, this is the first research article providing empirical evidence of the influencing dimensions of community development in rural regions in a developing country.

This data presented in this article is specifically employed from the Asian region based on the top position in the list of oil exporting and oil-importing countries around the world. Asia as the biggest continent on the earth had high consumption of energy [1]. Here we employed the daily prices of crude oil and seven oil trading countries, out of which three are oil exporting (Saudi Arabia, United Arab Emirates, Iraq) and four are oil-importing countries (China, Japan, South Korea, India), from the time period of 1-09-2009 to 31-08-2018. The data is collected from an authentic database Bloomberg. This data is related to the research paper "Volatility spillover impact of world oil prices on leading Asian energy exporting and importing economies' stock returns. Energy, 188 (2019), 116002, https://doi.org/10.1016/j.energy.2019.116002 [2]". This data is useful to compare the oil prices impact on the leading oil trading countries and also compare a set of countries affected most by oil prices' fluctuations, oil-exporting countries or oil-importing countries. Since this data covers the period of latest oil-crisis, so the impact of oil-crisis could also be analysed.

In construction projects, some contractors will take default actions against the contracts to obtain maximum profits and damage the owners’ benefits as a result. In the construction markets where effective supervision is not performed well, contractors have more opportunities to default. Surety bonds were designed to solve the default problems and promote the sustainable development of the construction markets. This paper was proposed to explore the interactions between owners and contractors and investigate the influence of surety bonds (high penalty and low penalty) on the default behavior of contractors based on a static and dynamic evolutionary game analysis model. The results showed that applying the surety bond strategy is effective at decreasing the probability of the contractors’ default behavior when the credit system based on a surety bond system is well developed in the construction industry and the cost of the surety bond is low enough. Therefore, government strategies such as a better development of the credit system driven by surety bonds and the subsidies on surety bonds to reduce the cost can mitigate the contractors’ default behavior and keep the sustainability of the construction markets.