Big Data Green Growth And Technology Disruption In Asian Companies And Societies

"This book offers an international platform to bring together academics, researchers, lecturers, decision makers, policy makers, and practitioners to share new theories, research findings, and case studies, to enhance understanding and collaboration in business, digital strategies, disruptive innovation, green growth, and technology in Asia"--

The business ecosystem within Asia is undergoing a transformation post COVID-19. Green issues, inclusion, and strategic disruptors in companies and economies have become rising topics in Asian businesses, causing such a change. This has the potential to be an evolution for Asian businesses, creating new business models for economic growth in Asia. The Handbook of Research on Big Data, Green Growth, and Technology Disruption in Asian Companies and Societies presents a rich collection of chapters exploring and discussing the emerging topics, challenges, and success factors in business, big data, innovation, and technology in Asia. This book will explore the changes made in the transition towards greener and sustainable societies and economies. Covering topics including information technologies, open innovation, and green issues, this book is essential for researchers, academicians, students, politicians, policymakers, corporate heads of firms, senior general managers, managing directors, information technology directors and managers, and libraries.

In the ongoing evolution of Asia's economy and society, there is a crucial need to explore innovative conceptual frameworks, empirical studies, and case analyses. These endeavors aim to unravel the intricate relationship between digital transformation and the imperative for fostering a greener, more circular, and climate-neutral Asian economy. Strengthening Sustainable Digitalization of Asian Economy and Society explores the intersection between digital technologies, knowledge management, and sustainable development. The book addresses the challenges and opportunities the digital age poses, examining how advanced information technologies, including artificial intelligence, IoT, and machine learning, coupled with practical knowledge management, can catalyze a transformative journey. Strengthening Sustainable Digitalization of Asian Economy and Society unravels how these digital tools and solutions impact the realization of the Sustainable Development Goals (SDGs) by 2030, offering invaluable insights for academics, researchers, industry players, policymakers, and stakeholders. This book emphasizes the ASEAN region, providing an understanding of the regional nuances in the digital transition by presenting comparative regional studies, including Asia, Europe, the USA, Latin America, Africa, and the Gulf Region.

Artificial intelligence (AI) and knowledge management can create innovative digital solutions and business opportunities in Asia from circular and green economies to technological disruption, innovation, and smart cities. It is essential to understand the impact and importance of AI and knowledge management within the digital economy for future development and for fostering the best practices within 21st century businesses. The Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy offers conceptual frameworks, empirical studies, and case studies that help to understand the latest developments in artificial intelligence and knowledge management, as well as its potential for digital transformation and business opportunities in Asia. Covering topics such as augmented reality. Convolutional neural networks, and digital transformation, this major reference work generates enriching debate on the challenges and opportunities for economic growth and inclusion in the region among business executives and leaders, IT managers, policymakers, government officials, students and educators of higher education, researchers, and academicians.

The COVID-19 pandemic has caused extraordinary disruptions in societies, companies, and nations across the globe. In response to this global devastation, companies need to develop business and management practices to answer new and emerging challenges and speed the recovery of economies, the creation of new jobs and prosperity, and achieve sustainable growth. The transition to digital and greener economies offers important challenges and opportunities for people, companies, cities, and governments. The Handbook of Research on Developing Circular, Digital, and Green Economies in Asia explores new and emerging business and management practices to support companies and economies in the digital transformation in Asia with special emphasis on success and failure experiences. This book will analyze the role of digital skills and competences, green issues, and technological disruptors in these emerging practices in Asia and how they can contribute to the creation of new business opportunities, more jobs, and growth for the recovery of Asian economies after the pandemic. Covering topics including consumption values, psychological capital, and tourist culture, this book is essential for academicians, economists, managers, students, politicians, policymakers, corporate heads of firms, senior general managers, managing directors, information technology directors and managers, libraries, and researchers.

Knowledge management and advanced information technologies such as AI, IoT, machine learning, and more can create digital tools and solutions to build more resilient, climate neutral, and green economies and societies. These digital tools and solutions and knowledge management can have a heavy impact on the achievement of sustainable development goals (SDGs) in Asia. Perspectives on the Transition Toward Green and Climate Neutral Economies in Asia offers innovative conceptual frameworks and theories, case studies, and empirical studies to understand how knowledge management and digital innovation can foster the transition towards more circular and climate neutral economies as well as greener economies in Asia. This book discusses how key and enabling digital tools and solutions and knowledge management can support the achievement of SDGs by 2030. Covering topics such as climate neutral economies, image recognition, and usability evaluation, this premier reference source is an excellent resource for deans, heads of departments, directors, politicians, policymakers, corporate heads, senior general managers, managing directors, librarians, students and educators of higher education, academicians, and researchers.

Cities, economies, and societies around the world must address the urgent global challenges such as climate change or the transition towards a greener and digital economy. It is important that economies are transformed into resource-efficient, competitive, and resilient ones. In the context of rapid change, transformative technologies like artificial intelligence (AI), blockchain, or the internet of things (IoT) play a key role in this digital transition across a wide range of areas. The Handbook of Research on Building Greener Economics and Adopting Digital Tools in the Era of Climate Change discusses global challenges like the transition towards a circular, greener, and digital economy. It proposes actions to advance the agenda towards climate-friendly businesses and economies. The book fosters cooperation among researchers, companies, and policymakers to share national initiatives and disseminate relevant knowledge. Covering topics such as cross-cultural communication, green product consumption, and organization performance strategies, this major reference work is an essential resource for business leaders and managers, entrepreneurs, government officials, politicians, policymakers, environmentalist organizations, students and faculty of higher education, researchers, and academicians.

Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.