IGI Global

In an increasingly changing and complex environment, sustainable development, corporate social responsibility, effective knowledge management, and intellectual assets represent the basis of today's innovations and therefore the new ways for organizations to compete in the marketplace. In this regard, organizations need to incorporate a sustainable approach to their operations because there is a growing awareness of environmental issues among customers. They are faced with increasingly stringent environmental regulations, and the development of sustainable practices can lead to sustainable competitive advantages over time. Intellectual Capital as a Precursor to Sustainable Corporate Social Responsibility provides a body of research that explores the theoretical and practical aspects of linking corporate profitability, intangible assets, corporate social responsibility, and sustainability with respect to business management practices. Covering topics such as green intellectual capital, ecology of organizations, and green knowledge, this premier reference work is an essential resource for business practitioners, small business owners, entrepreneurs, students and educators of higher education, librarians, researchers, and academicians.

The burden of global electronic waste, or e-waste, grows heavier by the day, demanding we take a closer look at the obscure hazards lurking within electronic devices. E-Waste takes a calamitous toll on ecosystems and human well-being, necessitating immediate action. Sustainable Solutions for E-Waste and Development is an academic reference source that takes an incisive journey through the nexus of sustainable development and the surging menace of e-waste. In an age where our lives are orchestrated by gadgets, this book uncovers the profound repercussions that these marvels bear upon our environment, societies, and economies. As the dawn of an imperative revolution beckons, this book casts a discerning eye on unconventional strategies, propelling readers into the realm of pioneering e-waste management, recycling ventures, and circular economy paradigms. It offers a panoramic view of policy blueprints and technological frontiers that could herald a future harmonizing technological progress with environmental sustainability. The book's compendium of recent research revelations, exemplars, and best practices foster an ecosystem of collaborative inquiry. Written and edited with the cognizance of the topic's wide audience, the book bridges academic rigor with accessible exposition. From scholars engrossed in environmental science, technology, and sustainable development to policymakers crafting the global legislative tapestry, this publication's relevance transcends boundaries.

In the digital age, the relentless growth of data centers and cloud computing has given rise to a pressing dilemma. The power consumption of these facilities is spiraling out of control, emitting massive amounts of carbon dioxide, and contributing to the ever-increasing threat of global warming. Studies show that data centers alone are responsible for nearly eighty million metric tons of CO2 emissions worldwide, and this figure is poised to skyrocket to a staggering 8000 TWh by 2030 unless we revolutionize our approach to computing resource management. The root of this problem lies in inefficient resource allocation within cloud environments, as service providers often over-provision computing resources to avoid Service Level Agreement (SLA) violations, leading to both underutilization of resources and a significant increase in energy consumption. Computational Intelligence for Green Cloud Computing and Digital Waste Management stands as a beacon of hope in the face of the environmental and technological challenges we face. It introduces the concept of green computing, dedicated to creating an eco-friendly computing environment. The book explores innovative, intelligent resource management methods that can significantly reduce the power consumption of data centers. From machine learning and deep learning solutions to green virtualization technologies, this comprehensive guide explores innovative approaches to address the pressing challenges of green computing. Whether you are an educator teaching about green computing, an environmentalist seeking sustainability solutions, an industry professional navigating the digital landscape, a resolute researcher, or simply someone intrigued by the intersection of technology and sustainability, this book offers an indispensable resource.

The traditional educational landscape often struggles to keep pace with the rapid advancements in technology and the evolving needs of both students and educators. This challenge has given rise to a crucial question; how can we effectively harness the full potential of next-generation educational technologies to shape a brighter future for education? A solution to this very question can be found within the pages of Reshaping Learning with Next Generation Educational Technologies . This book delves deep into the convergence of artificial intelligence (AI), disruptive technologies, and cutting-edge educational practices, revealing their transformative power. Through practical examples, visionary insights, and thought-provoking analyses, it provides a roadmap for educators, researchers, and professionals to navigate this changing educational landscape. It's a call to action, urging academia to seize the transformative potential of these groundbreaking technologies.

The traditional educational landscape often struggles to keep pace with the rapid advancements in technology and the evolving needs of both students and educators. This challenge has given rise to a crucial question; how can we effectively harness the full potential of next-generation educational technologies to shape a brighter future for education? A solution to this very question can be found within the pages of Reshaping Learning with Next Generation Educational Technologies . This book delves deep into the convergence of artificial intelligence (AI), disruptive technologies, and cutting-edge educational practices, revealing their transformative power. Through practical examples, visionary insights, and thought-provoking analyses, it provides a roadmap for educators, researchers, and professionals to navigate this changing educational landscape. It's a call to action, urging academia to seize the transformative potential of these groundbreaking technologies.

Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.

The persistent presence of cognitive biases has influenced rational decisions and strategic management since the 1970s. These prejudiced errors in judgment, often systematic and predictable, breach the foundational assumptions of economic theory, leading to dire consequences such as social inequality, financial collapse, and governmental inefficiency. Even the brightest minds are not immune, making it crucial to address these biases head-on. Overcoming Cognitive Biases in Strategic Management and Decision Making unravels the complex tapestry of biases that infiltrate decision-making processes at all levels. From social injustice biases and reasoning errors to action-inaction and social biases, the book confronts the myriad of ways that biases manifest in critical moments. These pose a significant threat to sound decision-making in various fields, impacting professionals ranging from judges and doctors to public officials. The repercussions of unchecked biases are far-reaching, leading to flawed outcomes that echo through society. The urgent need for a strategic response to mitigate these biases and enhance decision-making processes forms the crux of the problem this book seeks to address.

In the ever-evolving landscape of digital innovation, businesses grapple with the challenge of deciphering dynamic consumer behavior. AI Impacts in Digital Consumer Behavior is a pioneering exploration tailored for academic scholars seeking insights into the profound influence of artificial intelligence on consumer dynamics. As businesses strive to harness the potential of data, this book serves as a beacon, offering a comprehensive understanding of the intricacies involved in tracking, analyzing, and predicting shifts in consumer preferences. This groundbreaking work not only identifies the complexities posed by the rapidly changing digital landscape but also presents a solution-oriented approach. It unveils a theoretical framework and the latest empirical research, providing scholars with a toolkit of concepts, theories, and analytical techniques. With a multidisciplinary focus on behavioral analysis, the book equips academic minds with the knowledge to navigate the challenges of the digital age. Furthermore, it addresses the ethical dimensions and ethic considerations associated with the accelerating pace of consumer behavior analysis, shedding light on the responsible use of AI technologies.

Exploring Ethical Dimensions of Environmental Sustainability and Use of AI is a comprehensive and insightful book that delves into the ethical implications and challenges that emerge at the intersection of environmental sustainability and the utilization of artificial intelligence (AI). With a focus on key ethical dimensions such as transparency, equity, privacy, autonomy, unintended consequences, and trade-offs, this book aims to provide a thorough understanding of the responsible deployment and development of AI in the realm of environmental sustainability. By addressing the ethical aspects and challenges involved, this book contributes to the development of ethical guidelines and frameworks that align AI technologies with the vision of a sustainable and equitable future. Researchers will find immense value in this book as it offers a holistic exploration of the ethical implications, filling a critical gap in the existing literature. Policymakers can gain valuable insights to inform the creation of ethical guidelines and regulations governing AI use in sustainable initiatives. Practitioners, including professionals working in environmental organizations or technology companies, will acquire practical knowledge to guide their decision-making and implementation of AI-driven solutions.

The pressing need for environmental preservation has never been more evident, placing companies at the forefront of the sustainability movement. As the global community grapples with the ever-escalating environmental crisis, the imperative to preserve our planet has transitioned from an ethical consideration to a business necessity. Companies now face an unprecedented challenge: not only must they adapt to more sustainable practices, but must also fully embrace them across all aspects of their operations, including at the employee level. At the heart of this transformative journey lies human resource management, a pivotal lever for shaping a sustainable and environmentally responsible future for organizations. Building Sustainable Human Resources Management Practices for Businesses is a tool for academic scholars and discerning readers who seek to understand and address this urgent issue. This book goes beyond exploration, offering a deeply insightful examination of human resource management's role in fostering sustainability within organizations. By weaving the principles of sustainability with the intricacies of talent management, the book provides readers with the essential insights, practical tools, and real-world examples necessary to navigate the path toward a more eco-conscious approach to HR. From eco-friendly hiring practices to the cultivation of a green organizational culture, each chapter delivers actionable guidance and inspires change. Simultaneously, it delves into the challenges and future prospects of green HR management, exploring how technology, diversity and inclusion, and collaboration with key stakeholders can usher in a greener, more sustainable economy.

As the world grapples with the pressing issue of natural resource depletion, the global beverage industry finds itself at a crossroads, thrust into the spotlight as a significant contributor to environmental challenges. The dire consequences of climate change and resource exhaustion necessitate a fundamental shift in the industry's practices. The alarming increase in plastic waste, water consumption, and carbon emissions associated with beverage production and distribution has prompted a profound reassessment of its impact on the planet. In this context of environmental urgency, Economics and Environmental Responsibility in the Global Beverage Industry dissects the challenges faced by the industry and offers viable solutions to steer it toward a more sustainable and responsible future. At its core, this book addresses the greatest challenges of the industry, navigating through the intersections of economic imperatives and environmental responsibility within the global beverage sector. Its primary objective is to provide an understanding of the issues confronting the industry, fueling critical study, reflection, and critique. By delving into the triple dimensions of economic, social, and environmental sustainability, the book aims to empower academics and industry practitioners alike with the knowledge needed to effect transformative change. Beyond being an academic exercise, it stands as a rallying call for a collective commitment to reshape the industry's trajectory.

As the world grapples with the pressing issue of natural resource depletion, the global beverage industry finds itself at a crossroads, thrust into the spotlight as a significant contributor to environmental challenges. The dire consequences of climate change and resource exhaustion necessitate a fundamental shift in the industry's practices. The alarming increase in plastic waste, water consumption, and carbon emissions associated with beverage production and distribution has prompted a profound reassessment of its impact on the planet. In this context of environmental urgency, Economics and Environmental Responsibility in the Global Beverage Industry dissects the challenges faced by the industry and offers viable solutions to steer it toward a more sustainable and responsible future. At its core, this book addresses the greatest challenges of the industry, navigating through the intersections of economic imperatives and environmental responsibility within the global beverage sector. Its primary objective is to provide an understanding of the issues confronting the industry, fueling critical study, reflection, and critique. By delving into the triple dimensions of economic, social, and environmental sustainability, the book aims to empower academics and industry practitioners alike with the knowledge needed to effect transformative change. Beyond being an academic exercise, it stands as a rallying call for a collective commitment to reshape the industry's trajectory.

The pressing need for environmental preservation has never been more evident, placing companies at the forefront of the sustainability movement. As the global community grapples with the ever-escalating environmental crisis, the imperative to preserve our planet has transitioned from an ethical consideration to a business necessity. Companies now face an unprecedented challenge: not only must they adapt to more sustainable practices, but must also fully embrace them across all aspects of their operations, including at the employee level. At the heart of this transformative journey lies human resource management, a pivotal lever for shaping a sustainable and environmentally responsible future for organizations. Building Sustainable Human Resources Management Practices for Businesses is a tool for academic scholars and discerning readers who seek to understand and address this urgent issue. This book goes beyond exploration, offering a deeply insightful examination of human resource management's role in fostering sustainability within organizations. By weaving the principles of sustainability with the intricacies of talent management, the book provides readers with the essential insights, practical tools, and real-world examples necessary to navigate the path toward a more eco-conscious approach to HR. From eco-friendly hiring practices to the cultivation of a green organizational culture, each chapter delivers actionable guidance and inspires change. Simultaneously, it delves into the challenges and future prospects of green HR management, exploring how technology, diversity and inclusion, and collaboration with key stakeholders can usher in a greener, more sustainable economy.

In the world of digital healthcare, a critical issue looms large, demanding the immediate attention of academic scholars. The convergence of developing medical technologies, innovative digital solutions, and intricate healthcare structures has set the stage for a seismic transformation. However, the understanding of this evolving landscape remains inadequate, and the urgency to decipher these intricacies has never been more pressing. As we witness the rapid expansion of mobile-based digital healthcare, a fundamental problem becomes evident - a lack of comprehensive research on the industry's structure and dynamics. This gaping void in knowledge is the challenge that Analyzing Current Digital Healthcare Trends Using Social Networks undertakes with groundbreaking academic rigor. This book is a key resolution to this overarching problem, and it is meticulously designed to serve academic scholars seeking to unravel the intricacies of the digital healthcare ecosystem. By delving deep into the web of stakeholders, industry-specific challenges, and regulatory frameworks, it provides a comprehensive analysis that is long overdue. Extensive use of research articles, case studies, and empirical evidence serves as a compass to navigate the complexities of digital healthcare. The ultimate goal is to empower academic scholars with knowledge, bridging the gap between theory and practice.

In an era marked by the rapid integration of Artificial Intelligence (AI) into our lives, the discourse surrounding its implications has intensified. The Role of Generative AI in the Communication Classroom is a pioneering book that delves into the multifaceted dimensions of AI, specifically focusing on OpenAI's revolutionary Chat Generative Pre-Trained Transformer (Chat GPT) and its profound influence on the landscape of communication education. This book navigates the intersection of technology, education, and ethics, shedding light on the imperative need for a collaborative approach to shape AI's evolution. AI's potential to reshape industries and human roles is undeniable. Rooted in the intricate workings of AI and its hallmark, Chat GPT, this book meticulously dissects the dynamic relationship between humans and machines. The discourse extends beyond technology and into the realm of education, asserting that the power to mold AI's trajectory cannot rest solely in the hands of developers. While revealing AI's transformative potential in the communication classroom, the book conscientiously explores ethical concerns and biases, fostering a balanced approach to its integration. This book is instrumental to the ongoing discourse on AI's role in education. The call for ethical considerations, inclusivity, and regulation serves as a guiding compass for educators, students, developers, and policymakers alike. The book ensures a holistic perspective on AI's integration by addressing privacy, citation, voice ownership, and overall digital ethics.

"The topics covered in this book are advanced and applied in various earth science applications. The data obtained from earth observation satellites is utilized for various applications on ground including agriculture, forestry, mining, water management, rural and urban development, etc"--

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.

Exploring Ethical Dimensions of Environmental Sustainability and Use of AI is a comprehensive and insightful book that delves into the ethical implications and challenges that emerge at the intersection of environmental sustainability and the utilization of artificial intelligence (AI). With a focus on key ethical dimensions such as transparency, equity, privacy, autonomy, unintended consequences, and trade-offs, this book aims to provide a thorough understanding of the responsible deployment and development of AI in the realm of environmental sustainability. By addressing the ethical aspects and challenges involved, this book contributes to the development of ethical guidelines and frameworks that align AI technologies with the vision of a sustainable and equitable future. Researchers will find immense value in this book as it offers a holistic exploration of the ethical implications, filling a critical gap in the existing literature. Policymakers can gain valuable insights to inform the creation of ethical guidelines and regulations governing AI use in sustainable initiatives. Practitioners, including professionals working in environmental organizations or technology companies, will acquire practical knowledge to guide their decision-making and implementation of AI-driven solutions.