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In terms of the concept of broken home as a juvenile delinquency risk factor, whilst Nigeria and Ghana are culturally different from western nations (Gyekye, 1996; Hofstede, 1980; Smith, 2004), parental death (PDE) and parental divorce (PDI) have been previously taken-for-granted as one factor, that is ‘broken home’. This paper aims to deconstruct the singular model of ‘broken home’ and propose a binary model – the parental death and parental divorce hypotheses, with unique variables inherent in Nigerian/Ghanaian context.

It principally deploys the application of Goffman’s (1967) theory of stigma, anthropological insights on burial rites and other social facts (Gyekye, 1996; Mazzucato et al., 2006; Smith, 2004) to tease out diversity and complexity of lives across cultures, which specifically represent a binary model of broken home in Nigeria/Ghana. It slightly appraises post-colonial insights on decolonization (Agozino, 2003; Said, 1994) to interrogate both marginalized and mainstream literature.

Thus far, analyses have challenged the homogenization of the concept broken home in existing literature. Qualitatively unlike in the ‘West’, analyses have identified the varying meanings/consequences of parental divorce and parental death in Nigeria/Ghana.

Unlike existing data, this paper has contrasted the differential impacts of parental death and parental divorce with more refined variables (e.g. the sociocultural penalties of divorce such as stigma in terms of parental divorce and other social facts such as burial ceremonies, kinship nurturing, in relation to parental death), which helped to fill in the missing gap in comparative criminology literature.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

This chapter analyzes the role of public libraries in providing access to information to Internally Displaced Persons (IDPs) in Nigeria. It examines some of the challenges experienced by the public library system in ensuring equitable access to information to such disadvantaged groups. It also looks at the concept of social exclusion in the context of public library services in Nigeria and how it can be tackled.

The study employed a survey method; data were collected through the administration of structured questionnaires to the study population.

Outcomes from the study point to a need for the development of a policy framework by the National Library of Nigeria and increased partnership between public libraries and other stakeholders in formulating more proactive strategies toward meeting the information needs of IDPs in the affected communities.

Implications from the findings of the study provide a basis by which more proactive measures can be taken toward intervention by public libraries and other stakeholders in the community.

Few studies on the public library in Nigeria have focused on addressing problems of disadvantaged groups in the society. This chapter has examined the fundamental role public libraries can play in confronting the social exclusion of IDPs and also provided useful insights to the nature of their information needs in their given context.

Industries’ projects are associated with large amounts of data throughout the project lifecycle. As the size of the projects grows, so does the data associate with the projects. To generate useful information from Big Data, appropriate predictive analysis and data visualisation tools are required. Therefore, the use of visualisation techniques will target this expected evolution of big data. Thus, this study aims to give an overview of the migrations of an existing computer-based application, used to analyse multidata sources of enterprises, to a web-based application. Essential development aspects were concerned with the process of application development, platform development, software utilisation, and efficient display interface according to the enterprise’s requirement. Two solutions such as Microsoft Power Business Intelligence (BI) and the Dynamic Web System have been presented that proven to be widespread because these solutions have met the enterprises’ requirements in terms of expenses, policy, security, maintenance, and interactive interface. Also, an assessment of these solutions and challenges to adopting has been presented. Eventually, the system developed on the web overcomes computer-based systems in solving their problems such as deploying and maintaining applications and providing efficient and richer user interfaces for users. The web-based visualisation application has wide beneficial features; it provides high-performance real-time data analysis, data multimodal visualisation, and friendly to use. Web-based applications will increase confidence in decision-making based on data visualisation, which will positively reflect on comprehensive data analysis processes for project success.

Mauritius is a Small Island Development State (SIDS) with limited resources, and it has been witnessed that many containers used for storing household and industrial products are made from plastic. When discarded as waste, those plastic containers pose a serious environmental and economic challenge for Mauritius. Moreover, landfill space is getting increasingly scarce, and plastic waste is contaminating both land and water. Therefore, it is of the utmost necessity to develop solutions for Mauritius' plastic wastes. Due to its abundance and accessibility, plastic waste is a promising material for recycling and energy production. One potential solution is the use of machine learning and artificial intelligence (AI) to predict household plastic consumption, allowing policymakers to design effective strategies and initiatives to reduce plastic waste. Such information is a critical component to be able to efficiently plan for the collection and routing of trucks when collecting recyclable plastics. The development of new strategies for the recycling of plastic waste and development of new industry can address the import and export potential of the country to achieve self-sustainability as well as contribute to reduction in plastic pollution and amount of waste landfilled. These plastics can thereafter be used effectively for recycling and for the making of 3D printing filaments which fall under the SDGs 9 (Industry, Innovation and Infrastructure) and 12 (Responsible consumption and production).

The world is becoming digitised, and the construction industry is not left behind in the move. Buildings are getting advanced to the level of operating them electronically with little or no human interference. The implementation of technological practices into operations has produced many new products and provided ways of improving the efficiency of the products. A practical example is the application of robots being involved in the construction process. And these robotics are controlled by the use of mechatronics engineering through their artificial intelligence incorporated into their systems. This chapter examined the activities and involvement of mechatronics in construction, the different benefits to be derived from mechatronics applications and the uphill challenges it poses in construction projects.