Contributions to Environmental Sciences & Innovative Business Technology – serie

This book discovers what it will take to reindustrialize the previous industrial powerhouses in order to offset the advantages of cheap labor suppliers dominating the industrial sector by exploring the current situation of the production, processing, and manufacturing industries. The Internet of Things (IoT), Big Data, Cyber-Physical Systems (CPS), and Cloud Computing, Cyber Security, Cobotics, Automation, AI, 3D Printing and Additive Manufacturing, SDN, Blockchain technologies are outlined in this unique and comprehensive book, which has true potential for professionals, researchers, policymakers, and book users.New Horizons for Industry 4.0 in Modern Business encompass trends in business and technology globally that may completely alter how manufacturing and production are conducted. What you will discover: Learn about the Industrial Internet of Things and the Industrial Internet. Learn about the technologies that must develop to support Industry 4.0 and what is being done right now to make that happen. In this book, the topic of Industry 4.0 is covered in detail, and it even moves on to concepts of Digital Twins to boost output and create Industrial Internet of Things.With the development of new digital industrial technology, or "Industry 4.0," it is now feasible to collect and analyze data from many machines, resulting in processes that are quicker, more adaptable, and more efficient, producing things of higher quality while spending less money. The manufacturing revolution will boost productivity, alter economics, promote industrial development, and alter workforce demographics, ultimately altering the competitiveness of businesses and areas. Although advanced digital technology is being employed in manufacturing, Industry 4.0 will completely change how things are done. Greater production efficiencies will result, and conventional connections between suppliers, manufacturers, and consumers—as well as between people and machines—will shift.Industry 4.0 is changing the business process. This disruptive technology is radically changing the way businesses/manufacturing is conducted. It will give machines that little bit of intuition with the help of robotics, 3D printing, artificial intelligence, augmented reality, and virtual reality—that will help them do mindless and repetitive jobs without human intervention, allowing humans to focus more on their core competencies.

This book discovers what it will take to reindustrialize the previous industrial powerhouses in order to offset the advantages of cheap labor suppliers dominating the industrial sector by exploring the current situation of the production, processing, and manufacturing industries. The Internet of Things (IoT), Big Data, Cyber-Physical Systems (CPS), and Cloud Computing, Cyber Security, Cobotics, Automation, AI, 3D Printing and Additive Manufacturing, SDN, Blockchain technologies are outlined in this unique and comprehensive book, which has true potential for professionals, researchers, policymakers, and book users.New Horizons for Industry 4.0 in Modern Business encompass trends in business and technology globally that may completely alter how manufacturing and production are conducted. What you will discover: Learn about the Industrial Internet of Things and the Industrial Internet. Learn about the technologies that must develop to support Industry 4.0 and what is being done right now to make that happen. In this book, the topic of Industry 4.0 is covered in detail, and it even moves on to concepts of Digital Twins to boost output and create Industrial Internet of Things.With the development of new digital industrial technology, or "Industry 4.0," it is now feasible to collect and analyze data from many machines, resulting in processes that are quicker, more adaptable, and more efficient, producing things of higher quality while spending less money. The manufacturing revolution will boost productivity, alter economics, promote industrial development, and alter workforce demographics, ultimately altering the competitiveness of businesses and areas. Although advanced digital technology is being employed in manufacturing, Industry 4.0 will completely change how things are done. Greater production efficiencies will result, and conventional connections between suppliers, manufacturers, and consumers—as well as between people and machines—will shift.Industry 4.0 is changing the business process. This disruptive technology is radically changing the way businesses/manufacturing is conducted. It will give machines that little bit of intuition with the help of robotics, 3D printing, artificial intelligence, augmented reality, and virtual reality—that will help them do mindless and repetitive jobs without human intervention, allowing humans to focus more on their core competencies.

This book throws a light on sustainable perspectives of how business entities experienced the turbulent environment in the light of pandemic. The post-pandemic era is characterized by the radical and dramatic changes in the business model, corporate strategies and digital technology. This book provides the academicians, research scholars and corporate professionals with a thought-provoking forum to discuss and deliberate the major trends, opportunities and issues of business entity from the outlook of business resilience, corporate strategy and digital technology in the light of post-pandemic era. The book also suggests suitable measures and strategies for the sustainable development of business entities.

This book throws a light on sustainable perspectives of how business entities experienced the turbulent environment in the light of pandemic. The post-pandemic era is characterized by the radical and dramatic changes in the business model, corporate strategies and digital technology. This book provides the academicians, research scholars and corporate professionals with a thought-provoking forum to discuss and deliberate the major trends, opportunities and issues of business entity from the outlook of business resilience, corporate strategy and digital technology in the light of post-pandemic era. The book also suggests suitable measures and strategies for the sustainable development of business entities.

The book offers state-of-the-art information in the field of entrepreneurship, business management, the role of technology to manage entrepreneurial firms, and innovation and social aspects of firms. The book also offers quality research with quantitative and qualitative designs offering insights into the emerging business trends among the entrepreneurial firms. The volume supports early career researchers and students looking for research acumen in small business and entrepreneurship.

The book offers state-of-the-art information in the field of entrepreneurship, business management, the role of technology to manage entrepreneurial firms, and innovation and social aspects of firms. The book also offers quality research with quantitative and qualitative designs offering insights into the emerging business trends among the entrepreneurial firms. The volume supports early career researchers and students looking for research acumen in small business and entrepreneurship.

Quantum and Blockchain technology innovations have recently gained a lot of attention and have been integrated with other contemporary technologies for numerous applications. As a result, these applications achieve sustainability, robustness, scalability, security, accountability, and efficiency. Thus, this book covers the principles, terminologies, methods, protocols, and sustainability of quantum and blockchain technology. Furthermore, it provides insights into numerous challenges associated with other domains of computer science. In addition, the book provides various opportunities to integrate the quantum and blockchain technology-based sustainable solutions that incorporate low-cost, quality of services, secure and faster delivery of services for future demands in the fields such as cryptography, artificial intelligence (AI), machine learning (ML), deep learning (DL), computer vision, healthcare, autonomous vehicles, transportation, information, and communication theory. The information in this book is extremely useful for readers and practitioners in different fields including chemistry, mechanical and automotive engineering, healthcare, computer science, data science, and business analysis specialists in combining both basic and advanced level principles.

Quantum and Blockchain technology innovations have recently gained a lot of attention and have been integrated with other contemporary technologies for numerous applications. As a result, these applications achieve sustainability, robustness, scalability, security, accountability, and efficiency. Thus, this book covers the principles, terminologies, methods, protocols, and sustainability of quantum and blockchain technology. Furthermore, it provides insights into numerous challenges associated with other domains of computer science. In addition, the book provides various opportunities to integrate the quantum and blockchain technology-based sustainable solutions that incorporate low-cost, quality of services, secure and faster delivery of services for future demands in the fields such as cryptography, artificial intelligence (AI), machine learning (ML), deep learning (DL), computer vision, healthcare, autonomous vehicles, transportation, information, and communication theory. The information in this book is extremely useful for readers and practitioners in different fields including chemistry, mechanical and automotive engineering, healthcare, computer science, data science, and business analysis specialists in combining both basic and advanced level principles.

This book facilitates the innovation and ecosystems to encourage partnerships between companies, academia, and governments, which foster a collaborative approach to integrating Industry 5.0 principles into Industry 4.0 frameworks. The volume also focuses on human-technology synergy to make machines more autonomous, intelligent, and responsive to the needs, preferences, and well-being of human workers.The integration of Industry 5.0 into Industry 4.0 is based on three leading characteristics of Industry 5.0: human-centricity, sustainability, and resiliency. A human-centered industry prioritizes the needs and interests of workers in the production process. Instead of focusing on what workers can do with new technology, Industry 5.0 emphasizes how technology can serve and benefit workers. While robots excel in precision and tireless work, they lack the ability to think critically and creatively as their human counterparts have. A sustainable industry enables businesses to minimize their environmental footprint by adopting circular economy practices. Other sustainability initiatives include reducing energy use, cutting greenhouse gas emissions, minimizing waste, and preventing the depletion and degradation of natural resources. A resilient industry features industrial production that is highly robust and resistant to disruptions, capable of supporting critical infrastructure during crises. The COVID-19 pandemic exposed weaknesses in industrial systems and underscored the need for greater agility and resilience in supply chains and other manufacturing processes. Industry 5.0 acknowledges the potential of industry to fulfill societal objectives beyond just employment and economic growth. It envisions industry as a resilient source of prosperity that respects the environmental limits of our planet, while prioritizing the well-being of workers within the production process.

This book provides a cutting-edge exploration of how technology and innovation can drive a sustainable future by bridging environmental sciences and business solutions. The volume offers actionable insights into how companies, policymakers, and researchers can leverage emerging technologies to address global environmental challenges while ensuring economic growth.As climate change, resource depletion, and pollution intensify, businesses and governments must rethink their strategies. The book delves into critical topics such as green technologies, artificial intelligence for sustainability, circular economy models, and smart cities. It also highlights the transformative role of financial technologies (FinTech) in green investments and the impact of digital transformation on corporate sustainability.By presenting real-world case studies and research-backed solutions, the volume demonstrates how companies can integrate sustainability into their core business models. It also sheds light on the policies and incentives driving green innovation, helping businesses align with global sustainability goals such as the Sustainable Development Goals.The problem this book sets out to solve is the disconnect between technological advancements and practical implementation in sustainability efforts. While many innovations exist, their adoption remains limited due to knowledge gaps, regulatory challenges, and financial constraints. This book aims to bridge that gap by providing clear strategies, data-driven insights, and best practices that enable businesses and policymakers to take meaningful action.

This book explores the transformative power of sustainability and social entrepreneurship in modern business. The volume comprehensively presents how businesses can integrate sustainable practices and social innovation to drive economic growth, enhance social equity, and protect the environment. In addition, the book shows how to balance profitability with social and environmental responsibility through real-world case studies, practical tools, and forward-looking insights. The volume is a valuable resource for business professionals, academics, policymakers, and sustainability practitioners, and it offers actionable strategies and frameworks for creating long-term value. The book addresses the future of business, where sustainability and social entrepreneurship are not just trends, but essential components of successful and resilient enterprises.

This book explores the intersection of artificial intelligence (AI) and sustainable development within social economies. The volume is contributed by leading experts in both AI and sustainability and delves into the potential of AI to catalyze positive change in economic systems while addressing pressing social and environmental challenges. In addition, the book provides a comprehensive overview of how AI technologies can be harnessed to optimize resource allocation, enhance decision-making processes, and foster inclusive economic growth. The volume also emphasizes the role of AI in promoting sustainability, offering insights into innovative applications such as smart resource management, climate modelling, and the creation of eco-friendly technologies. Furthermore, the book discusses ethical considerations surrounding the use of AI in social economies and proposes frameworks for responsible AI deployment. Through case studies and real-world examples, the book illustrates how AI-driven solutions can drive environmental conservation, reduce inequality, and contribute to the overall well-being of communities. This book is a valuable resource for policymakers, academics, and industry professionals seeking to leverage AI as a powerful tool for building a more sustainable and equitable future.

This book offers a comprehensive exploration of artificial intelligence (AI) integration for business sustainability for a resilient future. Delving into the dynamic interplay between AI and sustainable business practices, it serves as a vital guide for professionals, entrepreneurs, policymakers, and researchers seeking to embrace innovative solutions to drive sustainability initiatives forward.From its inception, the book sets out to showcase the critical role that AI plays in reshaping modern business landscapes towards sustainability. It extensively covers various facets with foundational understanding of sustainability and AI evolution and detailed insights into successful AI integration in industries such as agriculture, education, energy, manufacturing, and healthcare. Through real-world case studies and practical strategies, it illuminates how AI can optimize operations, mitigate environmental impact, and foster social responsibility.The book addresses the core challenges faced by businesses in implementing AI-driven sustainability solutions. It navigates through adoption barriers, regulatory concerns, and ethical considerations, offering actionable advice for responsible AI integration. Furthermore, it presents future trends and emerging technologies, empowering readers to anticipate disruptions and utilize innovative AI solutions.

This book offers a comprehensive exploration of artificial intelligence (AI) integration for business sustainability for a resilient future. Delving into the dynamic interplay between AI and sustainable business practices, it serves as a vital guide for professionals, entrepreneurs, policymakers, and researchers seeking to embrace innovative solutions to drive sustainability initiatives forward.From its inception, the book sets out to showcase the critical role that AI plays in reshaping modern business landscapes towards sustainability. It extensively covers various facets with foundational understanding of sustainability and AI evolution and detailed insights into successful AI integration in industries such as agriculture, education, energy, manufacturing, and healthcare. Through real-world case studies and practical strategies, it illuminates how AI can optimize operations, mitigate environmental impact, and foster social responsibility.The book addresses the core challenges faced by businesses in implementing AI-driven sustainability solutions. It navigates through adoption barriers, regulatory concerns, and ethical considerations, offering actionable advice for responsible AI integration. Furthermore, it presents future trends and emerging technologies, empowering readers to anticipate disruptions and utilize innovative AI solutions.

This book delves into an in-depth analysis of the impact of artificial intelligence (AI) on the contemporary economic landscape. The book highlights not only how AI revolutionizes industrial processes but also how it plays a crucial role in promoting economic sustainability. The book explores various sectors in which AI fits, from business strategies to efficient resource management, and it includes case studies and research that reveal how the synergy between technology and the economy can boost sustainable development. Readers are guided through an enlightening narrative on how the responsible integration of AI can maximize efficiency, reduce waste, and promote ethical business practices. The book not only explores the current state of the intersection between AI and economics but also casts a visionary eye to the future, inspiring business leaders, academics, and decision-makers to embrace AI as a driving force for a long lasting economic sustainability.

This book focuses on the sustainable security practices in the domain of blockchain, quantum, and post-quantum technologies dealing with the real-time applications. The topics discussed in this book include banking applications, protection of digital assets in healthcare, military defense applications, supply chain management, secure messaging, and keyless secure infrastructures.Blockchains and quantum technologies are the emerging technological developments both in academic and industrial domains. The problems related to quantum threat and execution of post-quantum signatures in a blockchain platform have become hot topics in today's scientific community because they have remarkably progressed in recent years and have found a variety of applications.This book is a valuable resource for academicians, researchers, students, and technicians in the field of blockchain and quantum computing.

This book focuses on the sustainable security practices in the domain of blockchain, quantum, and post-quantum technologies dealing with the real-time applications. The topics discussed in this book include banking applications, protection of digital assets in healthcare, military defense applications, supply chain management, secure messaging, and keyless secure infrastructures.Blockchains and quantum technologies are the emerging technological developments both in academic and industrial domains. The problems related to quantum threat and execution of post-quantum signatures in a blockchain platform have become hot topics in today's scientific community because they have remarkably progressed in recent years and have found a variety of applications.This book is a valuable resource for academicians, researchers, students, and technicians in the field of blockchain and quantum computing.

This book offers a detailed analysis of the intersection of sustainability, innovation, and global progress, and it comprehensively explores sustainable practices and their impact on business, education, and technology. The book shows how businesses can incorporate sustainability into their core operations, including environment-friendly supply chains, renewable energy adoption, circular economy models, ethical decision-making, and sustainable growth strategies. Successful sustainable businesses and the benefits of their socially responsible practices are highlighted. In addition, the book explores how education can shape a sustainable future. It is necessary to integrate the ideas of sustainability into the curricula of early childhood education to higher learning institutions to educate and empower the next generation of changemakers. The role of technology in advancing sustainability efforts is also investigated, including artificial intelligence, blockchain, clean energy solutions, green architecture, and smart cities. Other topics explored in the book include global sustainability efforts such as international collaborations, public-private partnerships, and multilateral initiatives; the role of governments, NGOs, and international organizations in promoting sustainable development; ethical considerations and social impacts of sustainable practices, for example, social justice, inclusivity, and environmental stewardship; connections between sustainable development and improved quality of life; and groundbreaking ideas and innovations for industries to tackle sustainability issues. The book offers a comprehensive and forward-looking perspective on sustainability. By combining different viewpoints, the book empowers readers with the knowledge and inspiration to contribute meaningfully to a more sustainable, inclusive, and resilient world.

This book offers a detailed analysis of the intersection of sustainability, innovation, and global progress, and it comprehensively explores sustainable practices and their impact on business, education, and technology. The book shows how businesses can incorporate sustainability into their core operations, including environment-friendly supply chains, renewable energy adoption, circular economy models, ethical decision-making, and sustainable growth strategies. Successful sustainable businesses and the benefits of their socially responsible practices are highlighted. In addition, the book explores how education can shape a sustainable future. It is necessary to integrate the ideas of sustainability into the curricula of early childhood education to higher learning institutions to educate and empower the next generation of changemakers. The role of technology in advancing sustainability efforts is also investigated, including artificial intelligence, blockchain, clean energy solutions, green architecture, and smart cities. Other topics explored in the book include global sustainability efforts such as international collaborations, public-private partnerships, and multilateral initiatives; the role of governments, NGOs, and international organizations in promoting sustainable development; ethical considerations and social impacts of sustainable practices, for example, social justice, inclusivity, and environmental stewardship; connections between sustainable development and improved quality of life; and groundbreaking ideas and innovations for industries to tackle sustainability issues. The book offers a comprehensive and forward-looking perspective on sustainability. By combining different viewpoints, the book empowers readers with the knowledge and inspiration to contribute meaningfully to a more sustainable, inclusive, and resilient world.

This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.

This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.

This proceedings is a compilation of results from the International Multi-disciplinary Conference on “Fostering Sustainable Development Goals (SDGs) – New Dimensions and Dynamics”, which took place on July 27th and 28th, 2023, in Bengaluru, India. The volume presents cutting-edge research, analysis, and innovative perspectives that shed light on the United Nations' Sustainable Development Goals (SDGs). It guides policymakers, researchers, academics, and practitioners towards actionable solutions for a sustainable future.In the 21st century, sustainable development is crucial to address global challenges such as climate change, social inequality, technological advancements, and innovative business. The book offers fresh insights and strategies to overcome challenges and accelerate progress towards the SDGs. The book also explores different dimensions of sustainable development, including innovative business models, technological advancements, economic growth, and environmental preservation, providing a holistic understanding of the challenges and opportunities. It analyzes the interconnectedness of the SDGs, guiding policymakers in effective policy design and implementation.Practical case studies and success stories from around the world demonstrate how innovative approaches have achieved tangible progress towards the SDGs. The book inspires readers and showcases the transformative power of sustainable development initiatives.The book emphasizes inclusivity and equity, recognizing the interlinkages between dimensions of sustainable development. The volume explores the challenges faced by marginalized communities, highlighting their empowerment as a catalyst for sustainable development.

This proceedings is a compilation of results from the International Multi-disciplinary Conference on “Fostering Sustainable Development Goals (SDGs) – New Dimensions and Dynamics”, which took place on July 27th and 28th, 2023, in Bengaluru, India. The volume presents cutting-edge research, analysis, and innovative perspectives that shed light on the United Nations' Sustainable Development Goals (SDGs). It guides policymakers, researchers, academics, and practitioners towards actionable solutions for a sustainable future.In the 21st century, sustainable development is crucial to address global challenges such as climate change, social inequality, technological advancements, and innovative business. The book offers fresh insights and strategies to overcome challenges and accelerate progress towards the SDGs. The book also explores different dimensions of sustainable development, including innovative business models, technological advancements, economic growth, and environmental preservation, providing a holistic understanding of the challenges and opportunities. It analyzes the interconnectedness of the SDGs, guiding policymakers in effective policy design and implementation.Practical case studies and success stories from around the world demonstrate how innovative approaches have achieved tangible progress towards the SDGs. The book inspires readers and showcases the transformative power of sustainable development initiatives.The book emphasizes inclusivity and equity, recognizing the interlinkages between dimensions of sustainable development. The volume explores the challenges faced by marginalized communities, highlighting their empowerment as a catalyst for sustainable development.

With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In contrast to single object tracking, multi-target introduces one extra step of detection. Tracking multi-target includes detecting and categorizing the target into multiple classes in the first frame and provides each individual target an ID to keep its track in the subsequent frames of a video stream. One category of multi-target algorithms exploits global information to track the target of the detected target. On the other hand, some algorithms consider present and past information of the target to provide efficient tracking solutions. Apart from these, deep leaning-based algorithms provide reliable and accurate solutions. But, these algorithms are computationally slow when applied in real-time. This book presents and summarizes the various visual tracking algorithms and challenges in the domain. The various feature that can be extracted from the target and target saliency prediction is also covered. It explores a comprehensive analysis of the evolution from traditional methods to deep learning methods, from single object tracking to multi-target tracking. In addition, the application of visual tracking and the future of visual tracking can also be introduced to provide the future aspects in the domain to the reader. This book also discusses the advancement in the area with critical performance analysis of each proposed algorithm. This book will be formulated with intent to uncover the challenges and possibilities of efficient and effective tracking of single or multi-object, addressing the various environmental and hardware challenges. The intended audience includes academicians, engineers, postgraduate students, developers, professionals, military personals, scientists, data analysts, practitioners, and people who are interested in exploring more about tracking.· Another projected audience are the researchers and academicians who identify and develop methodologies, frameworks, tools, and applications through reference citations, literature reviews, quantitative/qualitative results, and discussions.

With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In contrast to single object tracking, multi-target introduces one extra step of detection. Tracking multi-target includes detecting and categorizing the target into multiple classes in the first frame and provides each individual target an ID to keep its track in the subsequent frames of a video stream. One category of multi-target algorithms exploits global information to track the target of the detected target. On the other hand, some algorithms consider present and past information of the target to provide efficient tracking solutions. Apart from these, deep leaning-based algorithms provide reliable and accurate solutions. But, these algorithms are computationally slow when applied in real-time. This book presents and summarizes the various visual tracking algorithms and challenges in the domain. The various feature that can be extracted from the target and target saliency prediction is also covered. It explores a comprehensive analysis of the evolution from traditional methods to deep learning methods, from single object tracking to multi-target tracking. In addition, the application of visual tracking and the future of visual tracking can also be introduced to provide the future aspects in the domain to the reader. This book also discusses the advancement in the area with critical performance analysis of each proposed algorithm. This book will be formulated with intent to uncover the challenges and possibilities of efficient and effective tracking of single or multi-object, addressing the various environmental and hardware challenges. The intended audience includes academicians, engineers, postgraduate students, developers, professionals, military personals, scientists, data analysts, practitioners, and people who are interested in exploring more about tracking.· Another projected audience are the researchers and academicians who identify and develop methodologies, frameworks, tools, and applications through reference citations, literature reviews, quantitative/qualitative results, and discussions.

This book consists of selected papers from the International Conference on Economics, Business and Sustainability (ICEBS) 2023 which brings together academics to exchange their research results and share experiences on all aspects of economics, business and sustainability The conference delivered a specific focus and significant breakthroughs in the rapid global economic rebound. The event appealed to scholars, academics, researchers, experts, development actors, practitioners and university students to join a part and share outlooks, experiences, research findings and the recent research trends in the milieu of social sciences. The ICEBS 2023 is expected to gain mutual understanding and insights, offering solutions and policy recommendations.

This book consists of selected papers from the International Conference on Economics, Business and Sustainability (ICEBS) 2023 which brings together academics to exchange their research results and share experiences on all aspects of economics, business and sustainability The conference delivered a specific focus and significant breakthroughs in the rapid global economic rebound. The event appealed to scholars, academics, researchers, experts, development actors, practitioners and university students to join a part and share outlooks, experiences, research findings and the recent research trends in the milieu of social sciences. The ICEBS 2023 is expected to gain mutual understanding and insights, offering solutions and policy recommendations.

This book comprehensively covers sustainable blended learning approach in each of the STEM (science, technology, engineering and mathematics) disciplines. The book also includes the compilation of detailed concepts of blended learning ranging from definition, need, features, models, advantages and disadvantages and comparisons with traditional face-to-face learning. Sustainable blended learning in K-12 education has an immense role as foundation to learning for students in their early education. Fostering creativity and inculcating problem solving and critical thinking skills are the integral aspect of STEM education, which encourages students to pursue them to for their future careers. This book presents recent practices taken by experts at various levels to promote education in STEM. Furthermore, impact over teacher–student relationships is analyzed. Lastly, sustainable frameworks, strategies and implementation to incorporate students with additional needs are explored.

This book comprehensively covers sustainable blended learning approach in each of the STEM (science, technology, engineering and mathematics) disciplines. The book also includes the compilation of detailed concepts of blended learning ranging from definition, need, features, models, advantages and disadvantages and comparisons with traditional face-to-face learning. Sustainable blended learning in K-12 education has an immense role as foundation to learning for students in their early education. Fostering creativity and inculcating problem solving and critical thinking skills are the integral aspect of STEM education, which encourages students to pursue them to for their future careers. This book presents recent practices taken by experts at various levels to promote education in STEM. Furthermore, impact over teacher–student relationships is analyzed. Lastly, sustainable frameworks, strategies and implementation to incorporate students with additional needs are explored.