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In this chapter, we have focused on system processing through incoming data and big data and system analysis after data processing and clustering and then intelligent decision-making that can be driven and done entirely through an Internet of Thing (IoT), AI, BI and the future of fourth technologies, so this new and fast processing has direct effect in consumers choices. Based on the 5th wave and i-Sustainability Plus and DCT (Doost Cultural Theroy) theories, SME 5.0/Hybrid SMEs/Tomorrow's SMEs concept, seven pillars of sustainability (7PS) model, nine pillars of sustainable governance (9PSG) model, 3D soci-eco-environment SME model and the related theories, models and concepts which has been invented, introduced and developed by Hamid Doost Mohammadian 2010–2017, to name examples, a new idea of tomorrow's SMEs, the associated theories, models and concepts, it can be assumed that a thriving Industry 4.0 implementation can take place with this comprehensive tool and method kit. The next technical-technological level represents a barrier, whether in the 5th wave theory simply called ‘Industry 5.0’ or made hardly more tangible with artificial intelligence and hyper-networking. Hybrid forms of work, with known forms of online/offline communication, are expanded with communication interfaces that support people not involved but directly and indirectly affected.

The pandemic has brought to light the importance of quickly adopting new technologies and building resilient organisations. Also, the Sustainable Development Goals (SDGs) can be addressed in large part through technological innovations. The development of smart systems which are linked with the Internet of Things (IoT) can create different opportunities to strategically face the barriers linked with the SDGs and make sure that there is an environmentally sustainable, equitable and healthy society. This study has utilised secondary and qualitative data and has adopted the interpretative and deductive approaches. It has given significance to several aspects of the SDGs and has linked them with digital technology such as accessibility to safe and clean portable water, production of sustainable food along with the generation of green energy and its utilisation. This study has evaluated the advantages of digitalisation so that it can catalyse the transition towards SDGs and improve the health of the citizens by giving digital accessibility specifically to the underserved community. The research has selected the most essential themes which are linked to the context of SDGs and has deeply evaluated a lot of information obtained from authentic secondary resources. At last, it provides a conclusion and recommendations where it has suggested several initiatives which could be made for enhancing the overall scenario and has also disguised the limitations that were identified while completing the study.

The chapter analyzed the knowledge transfer processes of the Latin American academy to the actors in its environment, and the Science, Technology, and Innovation policy that facilitates or inhibits the processes of generation and use of this university knowledge. The cases of Argentina, Brazil, Chile, Colombia, and Mexico were analyzed to understand the practice of the university knowledge transfer model at different levels – strategic, organizational, and operational – and the complexities involved in the process. It was evidenced by the urgent demand for the transformation of the Latin American University through sustainability and digitalization approaches to be a catalyst for development in the region. The chapter closes with a critical analysis of the phenomenon, future lines of research, and implications of the praxis.

Agri-biotech multinational enterprises (MNEs) are persisting to push genetically modified plant varieties (GMV) worldwide including emerging countries as a technological solution for sustainable development. However, in emerging countries, the structure and effectiveness of regulation and compliance measures to ensure human and environmental safety are much less developed. There are three types of concerns: the economic risks faced by farmers while using existing low-yielding conventional seed varieties, in the face of inadequate institutional mechanisms and safety nets, the long-term environmental risks, and finally, risks posed by other possible externalities. In an attempt to provide some insight on the aforementioned debate, this chapter focuses on a commercially successful GMV—namely genetically modified cotton, also referred to as Bt cotton. The literature on adoption of Bt cotton is first examined, and its findings are confronted with the reality of the introduction and diffusion of Bt cotton in India to derive inferences on how MNE and emerging countries’ governments can manage coexistence. Our findings indicate that in order to be successful, MNEs have to establish the sociopolitical legitimacy of GMV through investment in outreach with regulatory authorities, government departments dealing with the environmental and bio safety, farmer groups, and nongovernmental organizations (NGOs). MNEs also have to keep in mind that pricing and high technology fee can become an impediment for the legitimization of technology. Finally, MNEs can partner with NGOs to educate and accompany farmers to maximize their livelihood, while preserving the ecological sustainability of their farm lands.

The chapter presents the implementation of ethics education via challenge-based learning (CBL) in three European settings. At TU Eindhoven (the Netherlands), a mandatory first-year User, Society, and Enterprise course on the ethics and history of technology offers a CBL alternative on ethics and data analytics in collaboration with internal student and research teams. The University of Lübeck (Germany) initiated the project CREATE – Challenge-based Learning for Robotics Students by Engaging Start-Ups in Technology Ethics, which enables 60 students in Robotics and Autonomous Systems to integrate ethical and societal considerations into technological development processes, in cooperation with start-ups from a local accelerator. In Spain, CBI-Fusion Point brings together 40 students from business and law (ESADE), engineering and technology (Polytechnic University of Catalonia), and design (IED Barcelona Design University) for an innovation course focused on the application of CERN-developed technologies to real-world problems. The chapter documents the process of setting up three CBL courses that engage students with grand societal topics which require the integration of ethical concerns from the design stage of technological development. The authors also reflect on the challenges of teaching ethics via CBL and the lessons they learned by delivering experiential learning activities rooted in real-life challenges and contexts marked by high epistemic uncertainty. The contribution reflects the transition to remote teaching and presents strategies employed to enhance online communication and collaboration. The chapter thus provides guidance for instructors interested in teaching ethics via CBL and recommends further lines for action and research.

This chapter focuses on the competitive outcomes of present-day smart cities. It explores how cities can leverage economic and internal advancements to gain a competitive edge over other cities, and attract and retain both internal and external users. In the 21st century, cities engage in a global competition to attract citizens and businesses alike. The attractiveness and competitiveness of cities are directly linked to their ability to offer essential services that support growth opportunities, build economic value, and establish a competitive differentiation. Cities with advanced and innovative environments are more likely to maintain leading positions in an increasingly globalized world. Building upon the previous discussions on urban and economic outcomes, this chapter sheds light on the competitive outcomes of smart cities and the implications of global competition and city attractiveness for internal and external users. This chapter begins by examining the role of marketing innovation and internationalization in driving smart city development and how urban ecosystems and digital technologies can enhance city attractiveness. It emphasizes the importance of being a smart destination for both internal and external users and how it can empower and shape interactions with citizens, talent, companies, and tourists. Additionally, this chapter analyzes the geographical differences in smart city strategies and explores the competitive landscape of smart cities within and across nations. Finally, it discusses the limitations of competitive urbanism, along with the challenges and future prospects of smart city development. This analysis is supported by data and published works from international journals. Overall, this chapter aims to comprehensively understand how cities can leverage smart technology and strategies to enhance their national and global positioning.

This research aims to explore the potential of big data technology for sustainable management and investigate its impact on tourism. Its goal is to obtain meaningful results related to sustainable tourism to understand better how big data technology plays a role in decision-making by looking at it through the lens of various studies.

A systematic review, which is a qualitative method, was used in this study. The analysis was conducted using secondary data from the Web of Science Core Collections databases.

Big data technology has many economic benefits for businesses, but it also has managerial benefits such as forecasting, decision-making and tracking human and machine behaviour. Furthermore, big data technology offers sustainability benefits such as resource efficiency, preventive quality systems, carbon reduction and environmentally friendly production.

Big data's capabilities enable businesses to make more informed business decisions, improve overall business performance and contribute to achieving various SDGs. Big data, which aids in developing smart and sustainable tourism in the tourism sector, assists tourism managers in making economically, socially and environmentally sound decisions.