Bøker utgitt av IGI Global

Provides researchers, educators, students, and industry practitioners with research, practical experiences, challenges, and opportunities within healthcare data management. This book presents tools and techniques in various aspects of IT management and clinical data administration in healthcare. It features over 200 key terms with definitions.

In today's globalized world, the challenges facing economics, management, and governance are more complex than ever before. Traditional approaches struggle to address issues such as climate change, economic inequality, and geopolitical tensions, leaving gaps in delivery and outcomes. The solution lies in harnessing the power of innovation and diplomacy to navigate these intricate challenges. Innovative and Diplomatic Methodologies in Economics, Management, and Government serves as a guide for academic scholars seeking to navigate the complexities of modern global challenges. Through a diverse array of perspectives and insights, it illuminates the synergies between diplomacy, innovation, economics, management, and government. By bridging theory and practice, the book offers actionable solutions and real-world case studies that empower scholars to adopt a more integrated and forward-thinking approach.

In the digital landscape, the Metaverse emerges as a frontier of boundless possibilities. Yet, its potential remains largely untapped. The pressing challenge lies in harnessing the power of machine learning to navigate this uncharted territory, where virtual reality, augmented reality, and immersive technologies converge to redefine human interaction and experience. Impact and Potential of Machine Learning in the Metaverse offers a comprehensive examination of how machine learning techniques can shape the future of the Metaverse. This advanced work addresses key domains such as healthcare, education, gaming, and beyond. By delving into topics like digital twins in healthcare and blockchain-enabled security, the book not only sheds light on advancements but also confronts challenges head-on, inspiring scholars to explore new research directions and interdisciplinary collaborations. Through real-world case studies and practical applications, readers gain actionable insights into leveraging machine learning for transformative impact in the Metaverse.

In the evolving landscape of finance, traditional institutions grapple with challenges ranging from outdated processes to limited accessibility, hindering the industry's ability to meet the diverse needs of a modern, digital-first society. Moreover, as the world embraces Decentralized Finance (DeFi) and Artificial Intelligence (AI) technologies, there becomes a need to bridge the gap between innovation and traditional financial systems. This disconnect not only impedes progress but also limits the potential for financial inclusion and sustainable growth. AI-Driven Decentralized Finance and the Future of Finance addresses the complexities and challenges currently facing the financial industry. By exploring the transformative potential of AI in decentralized finance, this book offers a roadmap for navigating the convergence of technology and finance. From optimizing smart contracts to enhancing security and personalizing financial experiences, the book provides practical insights and real-world examples that empower professionals to leverage AI-driven strategies effectively.

In today's fast-paced financial landscape, professionals face an uphill battle in effectively integrating data analytics and artificial intelligence (AI) into quantitative risk assessment and financial computation. The constantly increasing volume, velocity, and variety of data generated by digital transactions, market exchanges, and social media platforms offer unparalleled financial analysis and decision-making opportunities. However, professionals need sophisticated AI technologies and data analytics methodologies to harness this data for predictive modeling, risk assessment, and algorithmic trading. Navigating this complex terrain can be daunting, and a comprehensive guide that bridges theory and practice is necessary. Data Analytics and AI for Quantitative Risk Assessment and Financial Computation is an all-encompassing reference for finance professionals, risk managers, data scientists, and students seeking to leverage the transformative power of AI and data analytics in finance. The book encapsulates this integration's theoretical underpinnings, practical applications, challenges, and future directions, empowering readers to enhance their analytical capabilities, make informed decisions, and stay ahead in the competitive financial landscape.

In today's fast-paced financial landscape, professionals face an uphill battle in effectively integrating data analytics and artificial intelligence (AI) into quantitative risk assessment and financial computation. The constantly increasing volume, velocity, and variety of data generated by digital transactions, market exchanges, and social media platforms offer unparalleled financial analysis and decision-making opportunities. However, professionals need sophisticated AI technologies and data analytics methodologies to harness this data for predictive modeling, risk assessment, and algorithmic trading. Navigating this complex terrain can be daunting, and a comprehensive guide that bridges theory and practice is necessary. Data Analytics and AI for Quantitative Risk Assessment and Financial Computation is an all-encompassing reference for finance professionals, risk managers, data scientists, and students seeking to leverage the transformative power of AI and data analytics in finance. The book encapsulates this integration's theoretical underpinnings, practical applications, challenges, and future directions, empowering readers to enhance their analytical capabilities, make informed decisions, and stay ahead in the competitive financial landscape.

In today's globalized world, the challenges facing economics, management, and governance are more complex than ever before. Traditional approaches struggle to address issues such as climate change, economic inequality, and geopolitical tensions, leaving gaps in delivery and outcomes. The solution lies in harnessing the power of innovation and diplomacy to navigate these intricate challenges. Innovative and Diplomatic Methodologies in Economics, Management, and Government serves as a guide for academic scholars seeking to navigate the complexities of modern global challenges. Through a diverse array of perspectives and insights, it illuminates the synergies between diplomacy, innovation, economics, management, and government. By bridging theory and practice, the book offers actionable solutions and real-world case studies that empower scholars to adopt a more integrated and forward-thinking approach.

Across the globe, communities face increasing challenges in building resilience and sustainability in the face of climate change, economic disparities, and other complex issues. The tourism sector, often seen as a driver of economic growth, has also been a source of environmental degradation, cultural erosion, and social inequities in many destinations. There is a growing need for a new approach to sustainable tourism development that enhances community well-being and environmental stewardship. Building Community Resiliency and Sustainability With Tourism Development provides a comprehensive framework for transforming the tourism sector into a force for positive change. The book explores the relationship between tourism, community development, and environmental conservation. It offers practical solutions to promote resilience and sustainability in tourism-dependent communities. Through case studies, best practices, and innovative strategies, readers can learn how to leverage tourism to promote economic, social, and environmental benefits.

Across the globe, communities face increasing challenges in building resilience and sustainability in the face of climate change, economic disparities, and other complex issues. The tourism sector, often seen as a driver of economic growth, has also been a source of environmental degradation, cultural erosion, and social inequities in many destinations. There is a growing need for a new approach to sustainable tourism development that enhances community well-being and environmental stewardship. Building Community Resiliency and Sustainability With Tourism Development provides a comprehensive framework for transforming the tourism sector into a force for positive change. The book explores the relationship between tourism, community development, and environmental conservation. It offers practical solutions to promote resilience and sustainability in tourism-dependent communities. Through case studies, best practices, and innovative strategies, readers can learn how to leverage tourism to promote economic, social, and environmental benefits.

In the digital landscape, the Metaverse emerges as a frontier of boundless possibilities. Yet, its potential remains largely untapped. The pressing challenge lies in harnessing the power of machine learning to navigate this uncharted territory, where virtual reality, augmented reality, and immersive technologies converge to redefine human interaction and experience. Impact and Potential of Machine Learning in the Metaverse offers a comprehensive examination of how machine learning techniques can shape the future of the Metaverse. This advanced work addresses key domains such as healthcare, education, gaming, and beyond. By delving into topics like digital twins in healthcare and blockchain-enabled security, the book not only sheds light on advancements but also confronts challenges head-on, inspiring scholars to explore new research directions and interdisciplinary collaborations. Through real-world case studies and practical applications, readers gain actionable insights into leveraging machine learning for transformative impact in the Metaverse.

In an era defined by rapid technological advancement, the nature of money finds itself at a crossroads, presenting both opportunities and challenges for global financial systems. The rise of Central Bank Digital Currencies (CBDCs) stands as a testament to this paradigm shift, offering the promise of efficiency, transparency, and financial inclusion. However, amidst the burgeoning interest in CBDCs, a pressing problem emerges: the lack of comprehensive understanding and insight into their development on a global scale. Recognizing this critical gap, Global Developments in Central Bank Digital Currency emerges as a guide for clarity in the complex landscape of monetary evolution. By synthesizing insights from diverse regions and jurisdictions, this book offers a holistic view of CBDC initiatives, unraveling the intricate web of motivations, challenges, and implications. From Africa to Asia, from Europe to Oceania, the book delves into country-specific developments, shedding light on the role of politics, culture, and informal institutions in shaping CBDC adoption.

The relentless march of technology has given rise to a host of ethical dilemmas, challenging established notions of privacy, human rights, and societal obligations. The increasing ubiquity of artificial intelligence (AI) has heightened concerns regarding its ethical use, data protection, and the deepening digital divide. The enactment of the EU's Artificial Intelligence Act and the OECD's AI recommendations underscores the critical need to address these complex issues, highlighting the urgency of understanding the ethical implications of digital technologies. Balancing Human Rights, Social Responsibility, and Digital Ethics offers a compelling solution to these issues by exploring the moral implications of AI, data privacy, and digital access. This book provides a holistic framework for addressing the ethical complexities of the digital era. Through practical insights on the alignment of technological advancements with human rights and social responsibility, it guides academics, policymakers, and technology professionals seeking to navigate the ethical implications of digital technologies.

Today, sustainability is a critical issue in the fashion industry. However, it can be challenging for fashion businesses to adopt green marketing strategies while keeping up with digital innovations. The book, Driving Green Marketing in Fashion and Retail , explores cutting-edge techniques to provide solutions to this challenge. It is an essential guide for fashion marketers looking to align their practices with environmental responsibility. As consumers become increasingly conscious of the environmental and social impacts of their purchasing decisions, fashion brands must adapt or risk being left behind. This book offers a comprehensive roadmap for embracing sustainability through digital marketing channels. From leveraging AI and big data analytics to implementing eco-friendly packaging solutions, each chapter presents actionable insights tailored to the modern fashion landscape.

The global food security landscape is increasingly precarious, with the intricate interplay between water, energy, and food resources becoming more pronounced amid rising scarcity and environmental challenges. As demands for these essential resources escalate, the need for a comprehensive understanding of their interconnectedness has never been more urgent. Trade-offs between these sectors are emerging, highlighting the critical need for cross-sectoral efficiencies and strategic investment frameworks. Balancing Water-Energy-Food Security in the Era of Environmental Change offers a comprehensive solution to this complex challenge. The book equips professionals and researchers with the tools needed to navigate the water-energy-food nexus by providing cutting-edge theoretical frameworks and empirical research findings. It offers strategic insights for agricultural enterprises, enabling them to forecast, plan, and control costs effectively, ultimately enhancing their disaster risk management and societal resilience strategies.

In academic research, qualitative analysis is a pillar for understanding complex phenomena in science and management. However, researchers and practitioners often face challenges navigating the ever-evolving landscape of qualitative methodologies and their integration into empirical projects. This knowledge gap can hinder the practical application of qualitative approaches, leading to suboptimal research outcomes and missed opportunities for insightful discoveries. Applying Qualitative Research Methods to Management Science serves as a beacon for researchers, practitioners, and students, providing a detailed roadmap to navigate the intricacies of qualitative analysis. Each chapter, authored by esteemed experts in the field, delves into specific qualitative themes and methodologies, offering practical insights and theoretical foundations based on the latest academic research. This book empowers readers to conduct rigorous and impactful qualitative research in diverse contexts by bridging the gap between theory and application.

Today's fast-evolving business landscape has created a significant challenge - the gap between basic scientific research and commercial innovation. Groundbreaking discoveries in laboratories need to translate into sustainable business solutions. The interplay between foundational scientific principles and their application in the commercial sphere is complex, making it difficult to bridge the gap. To tackle this problem, the book Unleashing the Power of Basic Science in Business offers a comprehensive exploration of how basic science can drive sustainable innovation in business. By bridging the gap between theory and application, this book provides a roadmap for researchers, academicians, and professionals in basic science, engineering, and management to understand and implement basic science, sustainability, and innovation in business. Through a diverse collection of chapters, readers gain insights into collaborative forces in innovation, ethical dimensions of basic science in commercial contexts, and the operationalization of commercial innovation. Unleashing the Power of Basic Science in Business guides navigating the sustainable commercialization expedition and cultivating environments for sustainable commercial success.

Academics and postgraduate students in higher education often face challenges navigating the complex research landscape, from formulating a sound rationale and problem statement to developing a robust theoretical framework and publishing their work effectively. Many need help publishing their research and making informed decisions, and the current lack of assistance hinders their academic progress and contribution to knowledge production. Emerging academics often need more guidance in research supervision and postgraduate students may require support in writing quality research proposals and dissertations. Enhancing Research for Academicians in Higher Education offers a transformative solution to these challenges, providing a comprehensive guide to rethinking and reimagining research in higher education. Centralizing the research discourse through the concept of Africanization offers a unique, groundbreaking, and timely perspective. The book empowers academics and postgraduate students to develop their research profiles, explore various research approaches and paradigms, and understand research's philosophical and theoretical foundations.

Higher education institutions grapple with a pressing challenge: the well-being of their students. Amidst the transition to university life, students face a myriad of stressors, from academic pressures to managing finances and social connections. Yet, there needs to be more robust evidence and focused literature addressing this critical issue. Delving deep into the complexities of student well-being, Student Well-Being in Higher Education Institutions presents a comprehensive analysis of the factors influencing mental, emotional, and social health in higher education settings. This book explores the intrinsic and extrinsic elements shaping student well-being through meticulously curated chapters, from risk factors to protective mechanisms. By offering evidence-based strategies and practical recommendations, the book empowers readers to proactively address students' challenges, fostering a supportive environment conducive to flourishing.

In today's fast-paced world, professionals often struggle to balance their work commitments and personal well-being, particularly during business trips. The conventional approach to business travel usually prioritizes work over relaxation and exploration, leaving travelers feeling overwhelmed and burnt out. As a result, there is a growing need for a solution that allows individuals to seamlessly integrate work and leisure, fostering a healthier and more fulfilling travel experience. Bleisure Tourism and the Impact of Technology is a comprehensive reference source that explores the evolution and significance of bleisure tourism. It provides readers with valuable insights into how they can transform their business trips into enriching experiences. From practical strategies for blending professional commitments with leisure activities to case studies on successful bleisure destinations, this book equips readers with the knowledge and tools they need to embrace this transformative trend.

With a growing population and increased mobility, global societies are facing the urgent need to transition to sustainable transportation solutions. However, the widespread adoption of electric vehicles (EVs) is hindered by challenges, from limitations in battery technology to the scarcity of charging infrastructure. These obstacles impede progress toward a cleaner future and limit EVs' potential economic and social benefits. Solving Fundamental Challenges of Electric Vehicles offers a comprehensive roadmap to navigate the complexities of EV adoption. It delves into critical issues such as battery technology advancements, charging infrastructure development, and policy and regulatory frameworks. The book empowers stakeholders to overcome these challenges and accelerate the transition to electric mobility by providing insights into innovative solutions and breakthrough technologies.

In today's hyper-competitive business landscape, understanding and engaging consumers is more challenging than ever. Traditional marketing approaches often need to catch up in decoding the complexities of consumer behavior, leading to ineffective strategies and missed opportunities. This gap between businesses and consumers can result in stagnant sales, limited market reach, and reduced profitability. To bridge this divide, Sensible Selling Through Sensory Neuromarketing offers a comprehensive solution rooted in neuromarketing and sensory marketing principles. The book, designed for researchers, academicians, marketers, and policymakers, offers a roadmap to navigate the evolving marketing landscape. From tools and strategies for sensory marketing to ethical considerations and case studies, this comprehensive guide equips readers with the knowledge and skills needed to succeed in today's dynamic market.

The isolated nature of academic disciplines restricts the potential for collaborative problem-solving and innovative approaches to teaching and learning. This fragmentation limits the effectiveness of educational outcomes and fails to prepare students for the multidimensional demands of the modern world. To address this pressing issue, Transdisciplinary Approaches to Learning Outcomes in Higher Education provides a comprehensive framework for transdisciplinary research in higher education. This book offers a systematic approach to transdisciplinary research and equips researchers, educators, and policymakers with the tools needed to break down disciplinary barriers and foster interdisciplinary collaboration. Through a series of case studies, theoretical frameworks, and practical guidelines, the book demonstrates how transdisciplinary approaches can lead to more effective teaching practices, curriculum design, and student engagement. It highlights the importance of integrating digital transformation, creativity, communication skills, and information technology tools to enhance learning outcomes in higher education.

Technology and entrepreneurship converge in the digital era, presenting many possibilities and hurdles. One of the most pressing issues facing entrepreneurs is the ability to harness the power of artificial intelligence (AI) to drive innovation and create sustainable businesses. While AI holds immense potential for transforming entrepreneurial ideas across various fields, many individuals and organizations need help understanding its practical applications and implications. Generating Entrepreneurial Ideas With AI offers a comprehensive solution to this challenge. By examining the intersection of AI and entrepreneurship from a multidisciplinary perspective, we provide readers with invaluable insights and strategies for leveraging AI to enhance their entrepreneurial endeavors. This book is designed for students, entrepreneurs, policymakers, and academics. It is a practical guide and roadmap for integrating AI into entrepreneurial practices. Through a series of in-depth analyses and case studies, we demonstrate how AI can effectively identify new business opportunities, optimize operations, and enhance the overall competitiveness of ventures.

In traditional educational settings, teachers often need help engaging students, adapting to diverse learning styles, and keeping pace with technological advancements, which can lead to disengagement, limited learning outcomes, and a lack of preparation for the demands of the modern world. Navigating Innovative Technologies and Intelligent Systems in Modern Education offers a transformative solution to these challenges. By exploring innovative strategies such as flipped learning, gamification, and personalized instruction, this book equips educators with the tools to create dynamic, student-centered learning environments. It emphasizes the importance of leveraging digital tools and resources to enhance teaching, assessment, and feedback, ensuring educators stay at the forefront of modern education. By implementing the strategies outlined in this book, educators can create inclusive, interactive classrooms that inspire, motivate, and empower students to reach their full potential.

Businesses must confront a pressing challenge-how to navigate the turbulent seas of market dynamics and technological advancements. As traditional business models face obsolescence in the wake of relentless innovation, enterprises failing to quickly to harness the power of advanced technologies risk fading into obscurity. This predicament sets the stage for a critical exploration of the profound impact of artificial intelligence (AI) and smart technology on the sustainability of entrepreneurial ventures. Without a strategic embrace of these innovations, businesses find themselves adrift, struggling to cope with the demands of a rapidly evolving market. Utilizing AI and Smart Technology to Improve Sustainability in Entrepreneurship serves as a guide for entrepreneurs seeking to thrive in this era of unprecedented change. Readers begin with a deep dive into the challenges faced by contemporary businesses. This book meticulously dissects these challenges and provides guidance for those ready to chart a course toward sustainable success by leveraging the transformative and compelling aptitudes of AI. The proposed solution of the integration of AI and smart technologies into the business landscape is one of great promise.

Amidst the escalating demand for online education, the issue of inclusivity in digital learning environments has become increasingly prominent. The main challenge is to guarantee equitable access to effective educational experiences for learners with diverse backgrounds, abilities, and learning preferences. Traditional educational approaches prove inadequate in addressing the varied needs of students in the digital age, signaling an urgent need for a transformative shift. It's in this context that Unlocking Learning Potential With Universal Design in Online Learning Environments emerges as a guide, poised to confront these challenges and pave the way for a more inclusive educational landscape. Unlocking Learning Potential With Universal Design in Online Learning Environments not only highlights challenges but provides its readers with a variety of solutions. Each chapter unveils real case studies, research findings, and best practices, from historical contexts and the evolution of UDL to addressing diverse learner needs in the digital age. The book also doesn't shy away from challenges, offering solutions for overcoming resistance and barriers. It concludes with a visionary outlook on the future of UDL in online education, compelling readers to reflect on their UDL journey and take a resounding call to action for inclusive online education. The book is the roadmap to a more equitable and engaging online education landscape.

The pressing necessity to overhaul education systems to align with the demands of the contemporary world rises. Transforming Education for Personalized Learning delves into the imminent challenges besieging education, offering pragmatic solutions to metamorphose classrooms into dynamic learning environments with research, real-world illustrations, and expert perspectives. It scrutinizes fundamental shifts required in pedagogical methods, curriculum construction, assessment frameworks, and the judicious integration of technology. Central to its philosophy is the accentuation of personalized learning, the cultivation of critical thinking, and the nurturing of creativity and collaboration among students. Emphasizing an inclusive and equitable educational system, the book discerns the varied needs and strengths of learners. It advocates for a future where educators evolve into facilitators of learning, armed with strategies to adapt teaching styles, embrace innovative pedagogies, and craft engaging and purposeful learning experiences. It underscores the imperative for a paradigm shift in education, cognizant of the demands of the 21st century. It advocates for personalized learning approaches that cater to individual strengths, interests, and learning styles. The book also explores innovative teaching methodologies, instructional design, and the effective integration of technology to enhance critical thinking, collaboration, and creativity. The book targets educators, school leaders, policymakers, teacher educators, parents, educational researchers, students, professional development providers, educational consultants, advocacy groups, and non-profits.

Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation intelligent systems in the context of the digital transformation era. This comprehensive book delves into the role data plays as a critical asset for organizations across diverse industries, and how recent technological breakthroughs have unlocked unprecedented potential for handling vast data volumes and real-time analysis. The book begins by providing a thorough overview of novel technologies such as artificial intelligence (AI) or machine learning (ML), edge computing, federated learning, quantum computing, and more. These revolutionary technologies, when integrated with big data frameworks, in-memory computing, and AI/ML algorithms, have transformed data processing capabilities, enabling the creation of intelligent systems that fuel innovation, optimize operations, and deliver personalized experiences. The ultimate aim of this integration is to empower devices with the ability to make autonomous intelligent decisions, maximizing computing power. This book serves as a valuable resource for research scholars, academicians, and industry professionals working towards the future advancement of optimized intelligent systems and intelligent data processing approaches. The chapters encompass a wide range of topics, including architecture and frameworks for intelligent systems, applications in diverse domains, cloud-based solutions, quantum processing, federated learning, in-memory data processing, real-time stream processing, trustworthy AI for Internet of Things (IoT) sensory data, and more.