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This chapter focuses on techniques and technologies to aid groups in making decisions, with an emphasis on computer-based support. Many office workers regularly meet colleagues and clients in virtual meetings using videoconferencing platforms, which enable participants to carry out tasks in a manner similar to a face-to-face meeting. The development of computer-based platforms to facilitate group tasks can be traced back to the 1960s, and while they support group communication, they do not directly support group decision making. In this chapter we distinguish four technologies developed to provide support to group decisions, clustered into two main traditions. Technologies in the task-oriented tradition are mainly concerned with enabling participants to complete tasks to solve the group's decision problem via computer-supported communications. Group Decision Support Systems and social software technologies comprise the task-oriented tradition. Alternately, in the model-driven tradition, participants use computers to build and use a model that acts as a referent to communicate, mostly verbally, about the group's decision problem. System modeling and decision-modeling technologies constitute the model-driven tradition. This chapter sketches the history and guiding ideas of both traditions, and describes their associated technologies. The chapter concludes with questioning if increased availability of online tools will lead to increased use of group decision support technologies, and the differential impact of communication support versus decision support.

The Fourth Industrial Revolution has revealed some emerging concepts and technologies. In the framework of Industry 4.0, the Internet of things (IoT) is one of the key concepts as well as an evolving paradigm that creates opportunities of integration between the things and the physical world which has an unprecedented influence in our lives, particularly in the lives of those with disabilities. It is a groundbreaking way of providing independent living opportunities to individuals with disabilities, such as academic and learning aids (e.g. computer-based software, portable word processors), communication aids (e.g. captioning devices, smart glasses, augmentative communication devices), mobility aids (e.g. smart canes, smart wheelchairs), and smart systems (e.g. smart home, smart city, smart workplace), which increase the amount of their participation in the society, thus, empowering individuals with disabilities. This chapter aims to present the IoT technologies for individuals with disabilities and consists of five sections. The first section presents background information about the IoT and how it relates to individuals with disabilities. The second section introduces key technologies and applications that drive the IoT concept of Industry 4.0 in terms of the subject of disability in five domains which are mobility, smart environments, monitoring, communication, and education. The third section illustrates the importance of the IoT technologies and its relevance to the universal approach. The fourth section presents the implications of global business and implications of COVID-19 for IoT technologies. Finally, the chapter concludes with suggestions.

This edited collection proposes an interdisciplinary and integrated approach to the study of reproductive technologies (RTs), which reflects the fact that many people use different technologies throughout their lifecourse and resists the disciplinary siloing of research on these technologies. The ever-expanding availability of RTs, the continued roll-out of ‘family planning’ and maternity services across low- and middle-income settings and the rapid development of the fertility industry mean that it is more likely than ever that individuals, especially women and trans* people, will engage with more than one RT at some point in their life. These multiple engagements with RTs will affect users' expectations and uptake, as well as the technologies' availability, commercial success, ethical status and social meanings. We offer this book as part of a wider movement in the study of reproduction and RTs, which takes inspiration from the reproductive justice framework to address forms of exclusion, discrimination and stratification that are perpetuated in the development and application of RTs and the ways in which they are studied and theorised. Here, we introduce the project and outline the structure of the book.

• Explain what a smart consumer is through Generation Z views

• Understanding the nature of decision-making process with the use of smart technologies

Explain what a smart consumer is through Generation Z views

Understanding the nature of decision-making process with the use of smart technologies

This study draws on the natural resource-based view to analyze the effects of technologies, managerial commitment, and firm strategy on sustainability performance, in terms of both environmental and social profits. It also examines how the effect of green technologies on sustainability performance can be triggered by a managerial commitment to sustainability issues, and by the adoption of a prospector strategy. Multiple linear regression was used to test research hypotheses on a sample of 426 Spanish tourism firms. The results provide important insights into the importance of the adoption of explorer strategies fostering the strategic exploitation of green technologies to obtain new efficient processes, organizational procedures, and products. This research also shows the contingent moderating effect that managerial commitment exerts on the strategic implementation of green technologies for sustainability performance.

The contemporary dynamics impose companies to both innovate and internationalize at the same time while remaining competitive in the international marketplace. With this context in mind, Industry 4.0 technologies have the potential to increase the competitiveness of companies, leading to a new era of “Manufacturing Renaissance.” Recently, conceptual studies have speculated on possible impacts of the adoption of Industry 4.0 technologies in terms of international business. However, empirical studies on this topic are still lacking. Through a multiple case study approach, this study presents exploratory qualitative research investigating the relationship between Industry 4.0 and the internationalization of companies. The analysis of 16 Italian manufacturing exporting companies, which have adopted some of these technologies, has revealed a more intriguing relationship compared to the one presented in current literature, and thus has opened avenues for future research on this issue.

Technology provision and Next Generation Learning Spaces (NGLS) should respond to the active learning needs of twenty-first century learners and privilege multiple ‘pictures of learning’ and associated knowledge work. In this sense it is important for NGLS to be pedagogically agnostic – agile enough to cater for a range of pedagogical approaches within the one physical space. In this chapter, the democratising and potentially disruptive power of new digital technologies to facilitate the privileging of these multiple pictures of learning is explored, recognising the significant rise in student ownership and academic use of mobile technologies. With their escalating ubiquity and their facilitation of active knowledge work, research around considerations for the implementation of mobile digital technologies is canvassed, highlighting a range of issues to be considered. This is part of the ‘hidden work’ of technology implementation. Without this hidden work, the potential of NGLS in facilitating and privileging active learning and multiple pictures of learning is diminished and the potential for reinforcing already powerful and potentially exclusionary modes of knowledge work increases. Finally to assist in articulating the hidden work of digitally enabled NGLS, a model is proposed to help understand how ease of use and confidence impacts on student and academic knowledge work.

Advances in Artificial Intelligence (AI) technologies and Autonomous Unmanned Vehicles are shaping our daily lives, society, and will continue to transform how we will fight future wars. Advances in AI technologies have fueled an explosion of interest in the military and political domain. As AI technologies evolve, there will be increased reliance on these systems to maintain global security. For the individual and society, AI presents challenges related to surveillance, personal freedom, and privacy. For the military, we will need to exploit advances in AI technologies to support the warfighter and ensure global security. The integration of AI technologies in the battlespace presents advantages, costs, and risks in the future battlespace. This chapter will examine the issues related to advances in AI technologies, as we examine the benefits, costs, and risks associated with integrating AI and autonomous systems in society and in the future battlespace.

The chapters in this book focus on three key areas of innovation in teaching and learning in higher education today: smartphone devices, texting applications, and multipurpose, multimedia mobile communicative applications such as Skype. Today's educators have at their disposal a wide array of digital technologies that enable them to enhance the teaching and learning process. These technologies, coupled with more valid and reliable learning theories, are revolutionizing the way we teach and are altering our notions of what it means to learn and live in a post-industrial, globalized world. Both individually and socially, these new mobile technologies are becoming increasingly popular and useful as educational tools across a wide range of disciplines as a means to engage and retain students. If used appropriately and purposefully, these mobile technologies are well suited for the increasingly interconnected and interdependent world we live in and they provide educators with another set of tools by which to enrich the teaching and learning process and educational outcomes (Kukulska-Hulme, 2012).