Books published by IGI Global

The multidisciplinary applications of natural science in drug discovery are essential for identifying and developing new drugs and represent a promising area of research. Drug discovery is a complex and challenging process that involves multiple disciplines, including biology, chemistry, pharmacology, and medicine. One of the most interesting areas of drug discovery is using natural science, which involves the study of natural products and their potential therapeutic benefits, in which the research literature has previously been lacking appropriate attention. Multidisciplinary Applications of Natural Science for Drug Discovery and Integrative Medicine is a research book that bridges the gap between traditional and natural science approaches to identify new drug molecules in treating various diseases. The book focuses on allopathic and complementary medicine. It takes a cross-disciplinary examination of biology, chemistry, pharmacology, mathematics, physics, and medicine. This book is suitable for researchers, post-doctoral fellows, graduate students, and post-graduate students interested in exploring natural science's multidisciplinary applications in drug discovery and integrative medicine.

How can a group be empowered to improve their ability to make decisions while also reinforcing the group's intended values, beliefs, and behaviors? Like positive reinforcement, which introduces a desirable or pleasant stimulus after a behavior has been completed and has been found to be effective for reinforcing such behavior, serious games introduce the behavior as a pleasant experience through engagement and entertainment. Where positive reinforcement relies heavily on the willpower of the subject to complete the behavior on their own, serious games introduce a motivational factor from the beginning of the behavior. Serious games are designed for purposes other than entertainment, such as training, learning, creating awareness, or behavior transformation through the introduction of content, topics, narratives, rules, and goals. They are immersive, engaging, and enjoyable, which enhances motivation and learning. The development of serious games is grounded in theoretical backgrounds, such as motivation, constructivism, flow experience, problem-based learning, and learning by doing. This method has been used in a variety of industries, including education, healthcare, military, policy analysis, and business functions such as marketing or financial purposes. They facilitate problem solving through challenges and rewards and use entertainment and engagement components. Serious games can address specific skills for many domains, foster collaboration, provide risk-free environments, and be used as analytical tools for educational research. They reinforce intended values, beliefs, and behaviors of players while conveying knowledge, skills, and attitudes, providing an integrated and effective approach to the transformation of an individual, group, or organization. The Handbook of Research on Decision-Making Capabilities Improvement With Serious Games discusses the use of advanced technologies including extended and immersive reality, digital twins, augmented reality (AR), virtual reality (VR), mixed reality (MR), and IoT sensors to improve decision-making skills and learning through serious games. This book discusses user engagement, game adaptation, content adaptation, and sensor technology. It showcases how to increase decision-making skills in individuals and organizations and incorporates the latest developments in artificial intelligence and machine learning. Led by experts with over 20 years of experience and covering topics such as serious game design, intelligent content adaptation, and machine learning algorithms. This book is designed for professionals in education, instructional designers, curriculum developers, program developers, administrators, educational software developers, policymakers, researchers, training professionals, privacy practitioners, government officials, consultants, IT researchers, academicians, and students.

There are inequalities in global knowledge production in communication outlets, cultural practices, and governance problems. Under this symbiotic relationship, they reinforce the cultural ideas, values, and governance systems operating in the Western countries as an ideal and role model for the Global South countries. Media is regarded as the agent of change for communication and cultural values. Indigenous knowledge production and dissemination is an essential feature to get a better insight into Global South countries. Likewise, dewesternizing and demystifying societal culture and governance issues are pertinent in this age of information. The Handbook of Research on Deconstructing Culture and Communication in the Global South focuses on local production practices keeping in view the local needs of communication outlets and societal and cultural sensitivities. This Indigenous knowledge would provide deeper and richer insights into the problems and sensitivities of Global South countries. To achieve this end, this book adopts a broader approach encompassing development issues, democratic values, digitalization practices, gender equality issues, and more. Covering topics such as biocultural activism, language ideology, and religiocentrism, this major reference work is a valuable resource for graduate students, sociologists, government officials, students and educators of higher education, librarians, development organization leaders, religious scholars, policymakers, researchers, and academicians.

Today's business world is changing with the adoption of the internet of things (IoT). IoT is helping in prominently capturing a tremendous amount of data from multiple sources. Realizing the future and full potential of IoT devices will require an investment in new technologies. The Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT demonstrates how the computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT technologies. The book also gathers recent research works in emerging artificial intelligence methods and applications for processing and storing the data generated from the cloud-based internet of things. Covering key topics such as data, cybersecurity, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, engineers, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.

Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT's success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians.

The recent advancements in the field of the internet of things (IoT), AI, big data, blockchain, augmented reality (AR)/virtual reality (VR), cloud platforms, quantum computing, cybersecurity, and telecommunication technology enabled the promotion of conventional computer-aided industry to the metaverse ecosystem that is powered by AR/VR-driven technologies. In this paradigm shift, the integrated technologies of IoT and AI play a vital role to connect the cyberspace of computing systems and virtual environments. AR/VR supports a huge range of industrial applications such as logistics, the food industry, and manufacturing utilities. AI-Based Technologies and Applications in the Era of the Metaverse discusses essential components of the metaverse ecosystem such as concepts, methodologies, technologies, modeling, designs, statistics, implementation, and maintenance. Covering key topics such as machine learning, deep learning, quantum computing, and blockchain, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

A new generation of Asian entrepreneurs is bringing their creativity, innovation, and digital expertise to market, assisting the region in becoming a disruptive force on the global stage. Live commerce, which combines fast purchases with entertainment, is revolutionizing China's retail industry, and new applications are making users' lives easier and more intertwined. A relatively young and increasingly well-educated population, driven by Millennials and Gen Zs, is driving such high levels of internet and mobile usage. In the following decade, these "digital natives" (born between 1997 to 2012) will account for one-third of Asia's consumption. Despite its relevance, there is a scarcity of research on digital natives and transformation in Asia or reflections of the same in a global context. Digital Natives as a Disruptive Force in Asian Businesses and Societies fosters multidisciplinary collaboration in order to uncover fresh theoretical and empirical views on digital natives, digital technology, and digital revolutions in Asian enterprises and society. Covering key topics such as the digital divide, internet marketing, and social commerce, this major reference work is ideal for government officials, business owners, managers, policymakers, scholars, researchers, academicians, practitioners, instructors, and students.

Web3 is a term which refers to the third generation of the World Wide Web; it is a decentralized internet architecture that uses blockchain technology, smart contracts, and other decentralized technologies to create a more secure and transparent internet. Concepts, Technologies, Challenges, and the Future of Web 3 is led by researchers with a valuable mix of industry and academic experience. The book delves into the concepts of decentralization, trustlessness, and interoperability and explores the challenges of Web3, including scalability, security, and regulatory compliance. It examines the current and potential future use cases of Web3, such as decentralized finance, supply chain management, identity verification, and decentralized social networks. "The core building blocks of Web3" is not just for researchers, academics, and students in computer science and related fields but also for developers, entrepreneurs, and businesses looking to build applications and services in the Web3 space. It offers a clear understanding of the technical and conceptual frameworks underpinning Web3 and the challenges and opportunities in the decentralized web. Moreover, the book is valuable for policymakers, regulators, and legal professionals interested in understanding the regulatory frameworks and legal implications of Web3. It provides insights into the potential impact of Web3 on governance, regulation, and law, highlighting the need for new policy frameworks to address the challenges and opportunities presented by the decentralized web.

Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.

Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.

The fintech industry has transformed the way individuals handle their finances, conduct transactions, and access financial services over the past decade. With increased efficiency and cost-effectiveness, fintech has emerged as one of the most profitable industries globally. However, the growth of fintech also presents an opportunity to promote sustainability and social responsibility in the financial sector. Fintech can contribute to financial inclusion, reduce economic disparities, and advance sustainable development goals through the integration of technology. The Sustainable Fintech Revolution: Building a Greener Future for Finance explores how fintech can be used to promote sustainability in the financial industry. This book provides a comprehensive overview of the fintech ecosystem and its potential for advancing sustainability goals, including case studies of companies that have integrated sustainability into their business models. It also offers insights and recommendations for policymakers, regulators, financial institutions, and fintech companies on how they can promote sustainability in the financial industry. This book is ideal for academics and researchers in finance, technology, sustainability, and development studies, as well as practitioners in the fintech industry, policymakers and regulators, and non-governmental organizations (NGOs) working on sustainable finance and development issues.

The fintech industry has transformed the way individuals handle their finances, conduct transactions, and access financial services over the past decade. With increased efficiency and cost-effectiveness, fintech has emerged as one of the most profitable industries globally. However, the growth of fintech also presents an opportunity to promote sustainability and social responsibility in the financial sector. Fintech can contribute to financial inclusion, reduce economic disparities, and advance sustainable development goals through the integration of technology. The Sustainable Fintech Revolution: Building a Greener Future for Finance explores how fintech can be used to promote sustainability in the financial industry. This book provides a comprehensive overview of the fintech ecosystem and its potential for advancing sustainability goals, including case studies of companies that have integrated sustainability into their business models. It also offers insights and recommendations for policymakers, regulators, financial institutions, and fintech companies on how they can promote sustainability in the financial industry. This book is ideal for academics and researchers in finance, technology, sustainability, and development studies, as well as practitioners in the fintech industry, policymakers and regulators, and non-governmental organizations (NGOs) working on sustainable finance and development issues.

Cutting-Edge Applications of Nanomaterials in Biomedical Sciences is a comprehensive exploration of the revolutionary impact of nanotechnology on the field of medicine. This book delves into the remarkable potential of nanomaterials in advancing medical diagnostics and therapeutics, particularly in drug delivery. It serves as an indispensable guide, presenting the latest developments in nanomedicine, precision medicine, and nanoengineering while addressing the challenges and opportunities that arise. The book covers a wide range of topics, from nanomaterials for cancer therapy to their applications in imaging and diagnostics. It discusses the transformative role of nanomaterials in targeted delivery and controlled release, as well as their potential in regenerative medicine and infectious disease diagnosis and treatment. By presenting cutting-edge research and developments in the field, this book aims to bridge the gap between bench and bedside, providing a vital resource for researchers, clinicians, and students in the biomedical sciences. Moreover, it highlights the commercialization potential of nanomedicine, fostering collaboration between academia and industry. Policymakers and regulators will also find this book invaluable for understanding the ethical and safety implications of incorporating nanomaterials into medical practices.

"This book tries to determine the factors affecting economic development and raise awareness about the effects and consequences of these factors"--