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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.

Purpose: The assessment of the linkage between quality and several SDGs is crucial due to the significant impact quality has on multiple dimensions. This study employs a comprehensive methodology to elucidate the various dimensions of quality. Additionally, it examines the relationship between quality and multiple SDGs, a topic that has not been previously investigated.

Design/Methodology/Approach: The question arises here that how maintaining quality leads to sustainability; well this question is answered in this study through a content analysis of previous studies and showing the importance of theme quality in various aspects of sustainability like TBL, sustainable development goals (SDGs), etc.

Findings: Quality has proven to be an admirable approach towards sustainability. The risen need for sustainability has brought many perspectives of the world. It can be environmental, social and economic and further these aspects have their own areas for improvement. The complexity of the structure of sustainability requires a basic common area to be focused on, and in this study, quality has proven to be one.

Implications: Through the SDGs it can be derived that each goal had an area where quality needed to be worked on. The several zones of quality are interlinked. Quality of life will automatically improve the education, health water and sanitation services. Therefore, the focus should be laid on attaining sustainability through quality. Quality is achieving excellence in something or a substance that satisfies the requirements needed from it or the resources are utilised effectively and efficiently.

Originality/Value: This study uses a holistic approach in which dimensions of quality have been explained and further the linkage of quality with different SDGs was assessed which has not yet been explored earlier.

Introduction: This study investigates the COVID-19 pandemic’s effects on the sustainability of the supply chain. It investigates how modern supply networks and procedures were equipped for such a catastrophe, and the pandemic’s effects on the environment, highlighting the significance of studying resilience and sustainability concurrently.

Purpose: The study acknowledges the importance of environmental sustainability for businesses and the need to examine trends in organisational, customer, policy, and distribution networks.

Need for the Study: The COVID-19 pandemic has significantly impacted supply chains. This study aims to provide insight into the long-term repercussions of the crisis and the importance of incorporating environmental considerations.

Methodology: The study uses a mixed-methods approach to evaluate the effects of the COVID-19 pandemic on supply networks and environmental sustainability indices. Data from industry reports, governmental publications, polls, and qualitative research techniques have been gathered.

Findings: The results of this study advance our understanding of how to preserve supply chains in the wake of the COVID-19 pandemic. It highlights the need for enhanced resilience and sustainability measures, expose the flaws and weaknesses of contemporary supply networks, and uncover developing patterns and tactics in customer behaviour, policy frameworks, distribution networks, and supply chain management.

Practical Implications: The COVID-19 pandemic has provided businesses, decision makers, and researchers with guidance on handling its potential and challenges – increasing the supply chain’s resistance to future interruptions, incorporating environmentally friendly practises, developing policies to support resilient and sustainable supply chains, adapting to changing consumer tastes, increasing effectiveness, and minimising the environmental impact of distribution networks.

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.

Introduction: Entrepreneurship and frugal innovation have emerged as critical drivers for addressing the Sustainable Development Goals (SDGs) in a global context. The United Nations developed the SDGs to address social, economic, and environmental challenges, ranging from poverty and inequality to climate change and sustainable economic growth. Entrepreneurship and frugal innovation offer a unique approach to achieving these goals by promoting innovation, creativity, and sustainability in business practices.

Purpose: This chapter aims to examine the role of entrepreneurship and frugal innovation in achieving SDGs in a global context. This chapter seeks to identify how entrepreneurship and frugal innovation can contribute towards realising the SDGs and how these concepts can be leveraged to create sustainable and scalable businesses that promote sustainable development.

Methodology: In order to examine how entrepreneurship and frugal innovation contribute to the worldwide achievement of the SDGs, the chapter will use a qualitative research technique. The literature review will involve the qualitative analysis of both developed and developing countries on some specific sectors like transportation, education, health sector, and financial services.

Findings: Through analysing relevant literature, qualitative research, and related examples this chapter provides insights into the challenges and opportunities associated with promoting entrepreneurship and frugal innovation for achieving the SDGs in different contexts.

Practical Implications: The chapter aims to contribute towards a better understanding of the role of entrepreneurship and frugal innovation in achieving SDGs and to provide recommendations for policymakers, entrepreneurs, and other stakeholders on supporting and promoting these concepts globally.

Purpose: The study aims to analyse and discuss the effect of COVID-19 on businesses. The chapter discusses the various machine learning (ML) tools and techniques, which can help in better decision making by businesses in the present world.

Need for the Study: COVID-19 has increased the role of VUCA elements in the business environment, and there is a need to address the challenges faced by businesses in such environment. ML and artificial learning can help businesses in facing such challenges.

Methodology: The focus and approach of the chapter are in the context of using artificial intelligence (AI) and ML techniques for decision making during the COVID-19 pandemic in a VUCA business environment.

Findings: The key findings and their implications emphasise the importance of understanding and implementing AI and ML techniques in business strategies during times of crisis.

Practical Implications: The chapter’s content is in the context of using AI and ML techniques during the COVID-19 pandemic and in a VUCA business environment.