Böcker utgivna av IGI Global

In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin technology to stay competitive and relevant. This challenge is exacerbated by the rapid evolution of these technologies and the urgent need for businesses to adapt. AI continues to advance in areas such as language comprehension, pattern recognition, decision-making, and experiential learning, while digital twins are transforming into electronic replicas of real-world entities. Consequently, businesses grapple with the complexities of navigating this transformative convergence. Digital Twin Technology and AI Implementations in Future-Focused Businesses addresses the pressing issue of how AI and digital twin technology are altering the very fabric of business operations. It delves into the profound implications for productivity, creativity, and decision-making in organizations across diverse industries. Staying ahead of the technical curve is crucial, and this book equips readers with the knowledge and insights needed to thrive in this evolving business landscape.

In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge is evident: ensuring secure exchange and analysis of complex biological data while maintaining data integrity and ownership. Traditional methods fall short in seamlessly transferring genomic data, spurring the fusion of blockchain innovation and optimization algorithms as a groundbreaking solution. Biology-Inspired Optimization Techniques in Blockchain Systems directly addresses the data integrity and ownership dilemma in bioinformatics and blockchain. Despite the intricacies of genomic data, blockchain's potential solution faces obstacles like data volume and slow transactions. These challenges are adeptly overcome through optimization algorithms. The book, authored by experts in bioinformatics, blockchain, and optimization, offers a comprehensive guide, showcasing how blockchain architecture and biological data intricacies can harmonize. It provides a blueprint for using blockchain to store genomic variants and aligned reads. This work empowers developers, data scientists, and researchers to overcome technological barriers, redefining the landscape of bioinformatics and beyond.

The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence , a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.

In the wake of increasing consumer and stakeholder concerns regarding environmental and social issues, and the vulnerabilities exposed by the COVID-19 pandemic, sustainable marketing has emerged as a critical aspect of modern business strategies. Sustainable Marketing, Branding, and Reputation Management: Strategies for a Greener Future provides a comprehensive and timely exploration of the key concepts, trends, and challenges in sustainable marketing within today's dynamic business environment. This book delivers an extensive overview of sustainable marketing, covering a diverse range of topics. It delves into the role of sustainable marketing in addressing environmental and social concerns, examines its impact on consumer behavior and brand loyalty, and showcases best practices for integrating sustainability into marketing strategies and tactics. Additionally, it explores the challenges and opportunities associated with implementing sustainable marketing across various industries, investigates the influence of digital technologies on sustainable marketing, and explores the future of sustainable marketing in the post-COVID-19 era. Targeting marketing professionals, business leaders, marketing students and educators, and individuals interested in advancing sustainable business practices, this book serves as an invaluable resource. It offers insights into the role of marketing in creating a more environmentally friendly future and equips readers with the latest strategies and best practices for promoting sustainability through marketing.

Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance. Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms.

Emerging Technologies for Health Literacy and Medical Practice unveils a transformative revolution brought about by emerging technologies, setting the stage for a paradigmatic shift from reactive medical interventions to proactive preventive measures. This transition has not only redefined the doctor-patient relationship but has also placed patients at the helm of their health management, actively engaged in informed decision-making. The book, a collective effort by experts across diverse disciplines, stands as an authoritative compendium delving into the profound implications of cutting-edge technologies in healthcare. From the tantalizing realm of artificial intelligence powering diagnostics and treatments to the tangible impact of wearable health devices and telemedicine on accessibility, each chapter delves into the nuanced interplay between technology and medical practice. This book spotlights the capabilities of these technologies, as well as dissecting the ethical, social, and regulatory tapestry they unravel. This book, thoughtfully tailored for a spectrum of stakeholders, epitomizes a synergy between knowledge dissemination and empowerment. From healthcare practitioners seeking to optimize medical practices to policymakers navigating the labyrinth of ethical considerations, from educators enriching health literacy to patients empowered to navigate their health journey, the book unearths its relevance across the healthcare spectrum.

In the vast expanse of education, a pervasive issue remains in the marginalization and lack of visibility of individuals with disabilities. Despite a strong desire for inclusivity, recent research suggests that fewer than 5% of children with disabilities in 51 countries across sub-Saharan Africa and South Asia are enrolled in primary school. This exclusion is not solely in enrollment numbers; even those who manage to attend face learning environments ill-equipped to adapt to their needs, leading to further isolation. Girls with disabilities, in particular, endure heightened vulnerability to abuse, reflecting a systemic failure to provide an environment that fosters equality, dignity, and respect for all. The Handbook of Research on Inclusive and Accessible Education emerges as an inspiration for change, providing a profound solution to the persistent issue of exclusion. The book encapsulates a collective effort to reimagine education. It advocates for a paradigm shift-moving away from the confinement of special schools and towards inclusive, mainstream settings. By addressing controversies, sharing successes, and outlining prospects, the book serves as a comprehensive guide for special school governing bodies, curriculum advisors, university lecturers, and all stakeholders committed to reshaping education.

In the complex field of academic scholarship, educators and scholars often encounter the challenge of designing effective learning scenarios that align with various educational objectives. The process involves meticulous planning, consideration of diverse pedagogical approaches, and adapting strategies to different circumstances and situations. The need for innovative solutions in pedagogy has never been more pressing, with topics ranging from instructional design to emerging techno pedagogical practices demanding attention. Academic scholars are yearning for a comprehensive guide that not only dissects the intricacies of these challenges but also offers transformative solutions to navigate the evolving landscape of education. Innovative Instructional Design Methods and Tools for Improved Teaching is a groundbreaking book meticulously crafted to address the pressing issues faced by academic scholars today. This book transcends the conventional boundaries of educational discourse, offering a roadmap for designing learning activities beyond routine exercises. It unveils a comprehensive approach, integrating pedagogical strategies and innovative teaching practices, providing educators with the tools they need to revolutionize their approach to instruction. This book is a solution to the challenges educators face in the contemporary academic landscape, providing a transformative guide for those seeking to excel in the dynamic field of pedagogy.

In the evolving environment of education, academic scholars face the daunting challenge of navigating a multitude of pedagogical approaches and technologies. The design of effective learning activities demands a nuanced understanding of didactic innovation, instructional design, and the integration of technology. As educators strive to meet the diverse needs of learners, the demand for innovative solutions to enhance teaching methodologies becomes more pressing than ever. Technological Tools for Innovative Teaching emerges as a comprehensive solution to the challenges educators encounter in the modern academic arena. The book unravels the intricacies of pedagogical scenarios, providing a step-by-step guide to designing learning activities that align with educational objectives. By addressing topics such as the pedagogy of error, flipped classroom strategies, and tech pedagogy, the book equips scholars with a diverse toolkit to revolutionize their teaching methods.

In the ever-evolving landscape of information technology within library and information science, scholars often find themselves navigating a complex web of diverse research areas. The broad spectrum of topics, ranging from digital libraries to artificial intelligence, poses a significant challenge for academic scholars seeking a comprehensive understanding of the field's intricacies. The absence of a consolidated resource tailored to the specific needs of graduate students, professors, and practitioners further exacerbates this issue. Multidisciplinary Approach to Information Technology in Library and Information Science addresses the pressing challenges faced by scholars in the realm of library and information science. This reference handbook serves as a beacon, illuminating the multifaceted interactions and impacts of technologies on information resources. This book delves into the ethical, legal, and social implications of information technology across diverse contexts - libraries, information centers, archives, museums, education, business, government, and healthcare.

Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnosis goes beyond detection to include a significant analysis of combined data for many cases, which presents a challenge of several complicated calculations. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases stands as a groundbreaking work at the intersection of artificial intelligence and neuroscience. The book orchestrates a symphony of cutting-edge techniques and progressions in early detection by assembling eminent experts from the domains of deep learning and neurology. Through a harmonious blend of research areas and pragmatic applications, this monumental work charts the transformative course to revolutionize the landscape of early diagnosis and management of neurodegenerative disorders. Within the pages, readers will embark through the intricate landscape of neurodegenerative diseases, the fundamental underpinnings of deep learning, the nuances of neuroimaging data acquisition and preprocessing, the alchemy of feature extraction and representation learning, and the symphony of deep learning models tailored for neurodegenerative disease diagnosis. The book also delves into integrating multimodal data to augment diagnosis, the imperative of rigorously evaluating and validating deep learning models, and the ethical considerations and challenges entwined with deep learning for neurodegenerative diseases.

The need for comprehensive insights into mindfulness and well-being within the context of Indian psychology is a pressing issue. The immense stressors of modern life and the ever-expanding demands on academic scholars underscore the urgency of addressing mental and holistic health. Despite the ancient roots of mindfulness practices in Indian psychology, there remains a gap in understanding their contemporary applications and integration into diverse academic disciplines. Promoting Mindfulness and Well-Being with Indian Psychology is a groundbreaking book that offers a timely and much-needed solution to the challenges faced by academic scholars. Edited by leading experts in the field, each chapter serves as a beacon, illuminating the path to mindfulness and well-being within a scholarly context. From theoretical foundations to practical applications, the book provides a roadmap for scholars to enhance their academic pursuits but prioritize their mental, emotional, and physical health. This book is not just a resource; it is a transformative tool that empowers scholars to navigate the complexities of academia with mindfulness, fostering a culture of well-being that extends beyond research papers and lecture halls. For those seeking a holistic approach to academic success and personal fulfillment, this book is the compass that points the way.

Cognitive disorders are a growing concern, affecting individuals across the age spectrum and society. These disorders can profoundly disrupt daily life, and their timely diagnosis is crucial for effective intervention and care. As the prevalence of cognitive disorders continues to rise, the need for precise and early diagnosis has never been more pressing. Intelligent Solutions for Cognitive Disorders is a research-based book which delves into the intersection of medical science and technology, exploring the latest advancements in cognitive disorder diagnosis and treatment. This book assembles a multidisciplinary team of experts, including researchers, clinicians, and technologists, to address this challenge head-on. This book commences with an in-depth introduction to cognitive disorders, providing a solid foundation for readers of all backgrounds. It then navigates the role of intelligent systems in cognitive healthcare, unveiling the potential of artificial intelligence, machine learning, and deep learning techniques. The book highlights how these intelligent systems can enable the early and accurate detection of cognitive disorders, a pivotal factor in improving patients' quality of life. This book is an invaluable resource for technologists, researchers, linguists, data scientists, healthcare practitioners, medical professionals, and students seeking a comprehensive understanding of cognitive disorders and the role of intelligent technologies in their diagnosis and care.

The Healthcare sector is experiencing a mindset change with the advent of Healthcare 5.0, bringing forth improved patient care and system efficiency. However, this transformation poses significant challenges. The growing digitization of healthcare systems raises concerns about the security and privacy of patient data, making seamless data sharing and collaboration increasingly complex tasks. Additionally, as the volume of healthcare data expands exponentially, efficient handling and analysis become vital for optimizing healthcare delivery and patient outcomes. Addressing these multifaceted issues is crucial for healthcare professionals, IT experts, data scientists, and researchers seeking to fully harness the potential of Healthcare 5.0. Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security presents a comprehensive solution to the pressing challenges in the digitalized healthcare industry. This research book dives into the principles of Healthcare 5.0 and explores practical implementation through cloud computing, data analytics, and federated learning. Readers will gain profound insights into the role of cloud computing in managing vast amounts of healthcare data, such as electronic health records and real-time analytics. Cloud-based frameworks, architectures, and relevant use cases are explored to optimize healthcare delivery and improve patient outcomes.

Powerful generative Artificial Intelligence (AI) has defined and transformed our modern era, and the fundamental conceptualization of academia stands at a crossroads. Academic Integrity in the Age of Artificial Intelligence delves deep into the seismic shifts and intricate challenges brought forth by the proliferation of AI technologies, exploring the intricacies between innovation and integrity. The rise of generative AI, exemplified by ChatGPT, has set a cascade of change across diverse sectors, including higher education, medicine, and the arts. This book dissects the multifaceted impact of AI on the academic landscape. With AI's ability to craft text and imagery mirroring human creativity, the lines between authentic scholarship and synthetic deception blur. The book examines the delicate balance between productivity and ethics while weaving a comprehensive tapestry of insights from various stakeholders. From academics grappling with the definition of AI-assisted breaches of academic integrity to policymakers reshaping the future of higher education, this book engages a myriad of voices. It scrutinizes the nascent challenges in assessment design, the urgent need to update antiquated integrity policies, and the importance of research ethics in an AI-driven world. This book is ideal for educators, policymakers, students, and technologists through the complicated terrain of AI ethics.

The marketing world is transforming in this era of unprecedented technological advancement, changing consumer tastes, and evolving social norms. As information flows freely and brand loyalty becomes a coveted prize, understanding what motivates consumers to choose one brand over another is paramount. Navigating the Shifting Landscape of Consumer Behavior is an authoritative exploration of the dynamic interplay between consumers, brands, and the evolving digital environment. This book dives into the contemporary consumer behavior. The narrative reveals the phenomenon of brand activism as a significant force reshaping the marketing battlefield. No longer content to remain apolitical, brands are increasingly taking stances on pressing social and environmental issues. The book critically examines the dynamics of successful brand activism and explores customer reactions to companies championing social causes. The book incorporates real-world examples and practical tactics, making it an invaluable resource for marketing scholars, researchers, professionals, educators, and graduate students.

The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Models equips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.

Chatbots powered by artificial intelligence (AI) have captivated the academic world as tools for human-like interaction across various settings. Within the realm of education, AI-powered chatbots, such as ChatGPT, hold the potential to revolutionize teaching, learning, and research processes. By simulating human conversation through vast data and machine learning algorithms, generative AI has unveiled new opportunities for personalized and adaptive learning experiences. Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI delves into the promising prospects and challenges of applying generative AI in education while employing a critical interdisciplinary perspective. The book offers comprehensive insights into the transformative effects of generative AI on teaching, learning, and research. However, the application of generative AI in education also brings ethical, pedagogical, and technical challenges to the forefront. Concerns over privacy, data protection, and the impact of automation on human interaction and creativity demand thorough examination and practical solutions. Intended for educators, researchers, and administrators in higher education institutions, as well as policymakers and industry professionals at the intersection of AI and higher education. The book encompasses a wide range of themes, including the impact of AI-generated content on student engagement and performance in online learning environments, ethical implications of automating education through AI-powered chatbots, personalization of learning experiences for diverse student populations, and the challenges of integrating generative AI into traditional classroom settings.

New technology, globalized markets, and changing employment needs contribute to the fast transformation of the educational landscape, which presents new opportunities and challenges for students. How can educators strategically adapt and enhance learning ecosystems to effectively prepare students for the challenges and opportunities of the rapidly evolving educational landscape and the future workforce? Preparing Students for the Future Educational Paradigm delves into the intricate web of learning ecosystems, exploring their pivotal role in shaping the education of tomorrow. The contemporary educational landscape demands a paradigm shift, and this book addresses the key challenges and opportunities inherent in learning ecosystems. It dissects these interconnected networks of individuals, groups, and resources designed to foster learning, laying bare the essential elements defining efficiency, equity, and inclusivity. This book identifies the pressing issues facing learning ecosystems and provides innovative ideas and practical strategies for rejuvenating these ecosystems. Educators will find in-depth insights into the application of learning ecosystems to enhance student learning, coupled with tangible suggestions for improvement. Policymakers will discover how to champion learning ecosystems through practical political actions and legislation. Beyond these professionals, the book captures the attention of parents, community members, businesses, and scholars, making it an indispensable read for anyone invested in the future of education.

The global skills gap and labor market disruptions pose a significant challenge for organizations worldwide. Higher education struggles to bridge the mismatch between skills taught in academia and those demanded by employers, hindering organizations in an era of heightened competition. Advancing Student Employability Through Higher Education offers a comprehensive solution to address this issue. Edited by Bryan Christiansen and Angela Even, this publication brings together innovative research and insights from employers and employees, serving as a valuable resource for academic scholars seeking the latest research on employer requirements in an era of increasing global hyper-competition. Covering topics like industry-academia collaboration, educational innovation, learning analytics, and educational artificial intelligence (AI), the book provides practical strategies and innovative approaches to bridge the gap between academic instruction and real-world organizational needs. It equips students with the skills and qualifications necessary to thrive in today's global economy through case studies, online learning effectiveness, and training evaluation. By leveraging the expertise of renowned scholars and industry practitioners, the book enhances understanding of the intricate dynamics of the workforce. It empowers scholars, graduate students, and higher education professionals to navigate the evolving needs of organizations, fostering success for individuals and organizational growth in an increasingly competitive landscape.