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In an era where sustainability and digital transformation are becoming indispensable pillars of successful business operations, this chapter explores the potent synergy between these two paradigms. As businesses strive to align their operations with Environmental, Social, and Governance (ESG) goals, digital transformation emerges as a powerful enabler. This chapter delves into how digital technologies are not only revolutionizing traditional business models but are also paving the way toward more sustainable practices. From data-driven decision-making to improved resource management, this chapter discusses the diverse ways in which digital transformation contributes to sustainability. It also offers an in-depth analysis of real-world case studies, illustrating how businesses have successfully integrated digital transformation in their pursuit of sustainability. Recognizing the potential roadblocks, this chapter also addresses the challenges businesses may face in this journey, including cybersecurity risks, data privacy issues, and the need for technological literacy. It further presents strategies to navigate these challenges and underscores the importance of preparedness in managing potential risks. Finally, this chapter ventures into the future of digital transformation, evaluating current trends and predictions, and their potential impact on sustainable business practices.

Artificial intelligence and augmented reality are two key tools gaining importance in the digital era due to their wide range of applications in different fields and sectors. Industry 4.0 lays emphasis principally on the technology used to help the business remain competitive and sustainable. Sustainable development goals are another important objective of the UN which has laid responsibility for every business to support addressing the global challenges. Purpose: This chapter essentially aims to present the standpoint of artificial intelligence and augmented reality in meeting the sustainability perspective of organizations. Information about the study is gathered through secondary approaches, critically reviewing published literature, scientific reports, and statistical data accessible through business reports, and corporate websites. Further analyzed to present the perspectives of the authors in the study. Globally artificial intelligence market size is predicted to reach $190 billion by 2025, while the funding for startups doubled during the period 2011–2020 globally. The investment in artificial intelligence is going to reach $500 by 2024 resulting in substantial revenue returns. The augmented reality market size could reach $97 billion by 2028. Artificial intelligence today is increasingly used in many fields and is attracting multiple applications in many sectors such as manufacturing, retail, education, IT, and health care and has also contributed to sustainable development the same time by providing energy conservation options, optimization, and reduction of resources, minimizing wastage, offering timely assistance on maintenance schedules, practices which are enabling organizations to reach closer to sustainability and transformation.

Digital technology and SDGs have gained increasing interest from the research community. This chapter aims to explore the field through a holistic review of 188 publications from 2017 to 2022. For the systematic review of 188 articles, a three-step methodology comprising of PRISMA guidelines was performed, bibliometric analysis and text analysis using VOS-Viewer and Sentiment Analysis using RStudio had been undertaken. Bibliographic coupling revealed the following clusters Digital Space (Over all SDG), Localising SDGs, Financial Systems and Growth (SDG 8), Sustainable Supply Chain (SDG 9), Education (SDG 4), Energy Management (SDG 7), Smart Cities (SDG 11 and 13), Gender, Skills, and Responsibility (SDG 5 and 12), Food Management (SDG 1, 2 and 3), Business Innovation (SDG 8 and 9) and ICT (SDG 9). Next, co-occurrence analysis highlighted the following clusters Circular Economy (SDG 8), Higher Education System (SDG 4), Digital health (SDG 3), Industry 4.0 (SDG 9) and Supply Chain Management (SDG 9). Next, text analysis traced the most relevant areas of work within the theme. Finally, sentiment analysis revealed positive sentiments of the field. The research concluded that only a few SDGs had found major focus while the others don't have any solid ground in the literature. This chapter presents a knowledge structure by mapping the most relevant SDGs in the context of digital technology and sets directions for future research.

Due to a change in higher education and adult education ideas and practices globally that have become more learner-centered, higher education is undergoing a transformation at a rate never before seen. Education has also evolved into a lifetime endeavor as the importance of higher education and adult learning has grown. In light of the fact that it offers guidance on how people can find purpose in their lives, transformative learning theory has a prominent position in higher education and adult education. By critically examining their presumptions and expectations and updating them to support higher education students' successful learning, educators can transform their theory and practice of instruction through active and transformative learning. Adapting to the changing capacities brought on by digitization, technological advancements, growing technological connectivity, global market expansion, mobility and migration, and workplace diversity is becoming more and more difficult for higher education institutions. The idea of active and transformative learning and transformative learning strategies are discussed in detail in this chapter to help readers understand their importance and function in effective teaching and learning in the transforming world of higher education. This chapter's major contribution to Active and Transformative Learning: Digital Transformation in Education is the provision of a comprehensive guide and strategy on how to successfully incorporate digital technologies into the teaching and learning process in order to improve student engagement, knowledge acquisition, and the growth of critical thinking skills.

This chapter frames the digital age transformation journey for sustainability from the lenses of transformation skills and competencies required for future work. It provides a synopsis of the digital transformation considering digital technologies, connecting digital transformation to future work and reflections on the new digital age to sustainability issues. In detail, this chapter comprehensively reviews digital technologies transformation skills, including digital skills and integrated skills for the digital economy linked to integrated skills. This chapter takes into consideration the possible effects from a competency point of view from the domains on issues like: global independence, trust, a shift in skills and ways of work, commitment to justice, improving the know-how, financial inclusion, data and data privacy that are critical imperatives for sustainability. Developing a digital economy requires integrated sustainable development competencies; this chapter considers combined skills for digital transformation in triple connecting points of human skills, business skills and digital building blocks skills to argue for sustainability. Because attaining Sustainable Development Goals (SDGs) requires input from different quotas globally, sustainable competencies are needed to ensure individuals work cohesively through new-age digital technologies. This chapter further highlights emerging competencies such as critical thinking, appreciative equity, open communication and acting on collective well-being as imperatives transforming digital disruptions. The final section of this chapter puts into perspective the implication of required digital technologies for the future of work and its significance on the need to reskill and retool. It concludes by reflecting on opportunities and challenges for crucial consideration towards creating a sustainable digital age.

Educational sustainability has acknowledged the value of transformation, which offers an opportunity of researching and rethinking how appropriate and successful educational practices in an active learning environment could help prepare students for jobs that do not yet exist. So, to meet the job market needs, it became essential to focus on designing more context-specific programs where interdisciplinary courses are provided. The interdisciplinary courses are based on integrating different disciplines where there is a blur between the borders of the disciplines to shift the focus from structured courses to cooperation with external entities. In addition, the interdisciplinary programs allow students to choose modules from across subjects and encourage cooperation with staff from different departments. Thus, the purpose of this chapter is to present a framework of how transformation in education requires key drivers such as transformational visions, faculty commitments, students' engagement, resources (i.e. curriculum), and external relations to develop the values and competencies that the future professionals will need in the attempt to make decisions aiming at reaching a more sustainable world.

The convergence of the digital supply chain (DSC) with sustainability presents promising opportunities and notable challenges for today's enterprises. This chapter explores the relationship between digital supply chain management (DSCM) and sustainability within the context of supply chain management. It begins by providing a detailed overview of the digital transformation in supply chain management, emphasizing its rapid evolution and its profound impact on sustainability. The chapter then delves into the various sustainability challenges that manifest within DSCs, including issues related to energy consumption, e-waste management, and environmental impact. It goes beyond environmental considerations, exploring social and ethical dimensions, such as the potential consequences of digitalization on socioeconomic disparities. Moreover, the chapter presents a comprehensive framework of best practices and strategies aimed at navigating these challenges. It highlights the utilization of digital technologies like artificial intelligence (AI), Internet of Things (IoT), and blockchain to enhance transparency, efficiency, and responsible sourcing. Real-world case studies are included to exemplify successful implementations of sustainable practices across diverse industries. In conclusion, the chapter emphasizes the imperative of a holistic, authentically sustainable supply chain transformation, underpinned by digital technologies, to advance sustainability objectives while adeptly addressing emerging challenges in the ever-evolving landscape of supply chain management.

In this chapter, the authors aimed to analyze the existing sustainability curriculum being followed by higher education institutions (HEIs) in the emerging world, and call out the underlying inadequacies within it and provide solutions for the same, by drawing insights through interviews with key stakeholders in this area. The authors planned to talk to higher education policymakers, Educational Institutional heads, researchers and faculty members and corporates (who deal in sustainable products and who will benefit from this subject). The respondents’ sample consisted of both Indian and international interviewees to help us better understand and analyze the perspective and scenario globally in terms of north-south as well as understand multiple point of views. The interview analyses were carried out using the N Vivo software tool. The expected outcome includes a curriculum contour on sustainability for the HEIs.