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Despite the technological advances accompanying growing globalization, the surprise of the COVID-19 pandemic changed the lives of everyone across the world. The responses were unpredictable and the consequences incalculable. Economic, social, and health inheritances in the short, medium, and long term are expected to be very serious. The challenges posed to governance in the various sectors of activity can be unique opportunities for future results. The importance of disseminating studies and academic discussions on the subject from a multidisciplinary perspective—economics, management, law, sociology, psychology, education, and communication—is emerging and can contribute to better governance policies. Multidisciplinary Approaches to Organizational Governance During Health Crises presents new structural and functional models for effective adaptation to global recovery. It explores trends in governance models, presents the current state of governance, and examines governance issues, challenges, and opportunities. Covering topics such as consumer perspectives, legal studies, and public sector procurement digitalization, this premier reference source is an excellent resource for economists, entrepreneurs, consultants, policymakers, students and educators of higher education, librarians, researchers, and academicians.
In the field of pharmaceutical sciences, the integration of artificial intelligence (AI) has emerged as a groundbreaking force, propelling the field into uncharted territories of discovery and innovation. As traditional approaches in drug discovery and development encounter new challenges, the need for cutting-edge technologies becomes increasingly apparent. AI-Powered Advances in Pharmacology offers an insightful exploration of this critical intersection between AI and pharmacological research. This book delves into how AI technologies are reshaping the understanding of diseases, predicting drug responses, and optimizing therapeutic interventions. It navigates through the relationship between AI algorithms, big data analytics, and traditional pharmacological methodologies, promising to accelerate drug development and usher in a new era of precision medicine. The primary objective of AI-Powered Advances in Pharmacology is to conduct a thorough exploration of the integration of artificial intelligence (AI) into pharmacological research, shedding light on its transformative impact on drug discovery, development, and personalized medicine. This comprehensive overview aims to serve as a valuable resource for researchers, practitioners, and students in the field, bridging the gap between traditional pharmacological approaches and AI methodologies. Through case studies and discussions of emerging trends, the book contributes to the evolving landscape of pharmacology, fostering a deeper understanding of diseases, optimizing therapeutic interventions, and shaping the future of precision medicine. By providing practical insights, it aims to inspire further advancements at the intersection of artificial intelligence and pharmacology.
In the 21st century, traditional approaches to societal challenges often fall short. The need for innovative solutions is palpable, grounded in the understanding that progress is contingent upon embracing change. Scholars, policymakers, and institutions grapple with the delicate balance between economic growth and social well-being. The dichotomy between technical and social innovations becomes apparent, necessitating a comprehensive understanding of their interplay. The urgency to bridge this gap, addressing societal needs while fostering economic prosperity forms the crux of the challenge. Social Innovations in Education, Environment, and Healthcare emerge as an illuminating solution. Authored by experts in the field, this book offers a compelling exploration of social innovation as the key to unlocking transformative change. By delving into the intricacies of ideation, collaboration, implementation, and value creation, the book provides a roadmap for scholars, policymakers, non-profit organizations, for-profit firms, and universities. It dismantles the barriers between developed and developing nations, advocating for a global perspective in the pursuit of inclusive and impactful social innovations.
Cloud computing adoption has revolutionized how businesses and individuals harness the power of technology. The cloud's scalability, accessibility, and cost-efficiency have propelled it to the forefront of modern computing paradigms. However, as organizations increasingly rely on cloud services to store, process, and manage their data and applications, an intricate web of challenges has emerged, casting shadows over the very foundations of cloud computing. Improving Security, Privacy, and Trust in Cloud Computing unravels the complexities surrounding the cloud landscape, delving into the core concerns of security, privacy, and trust that have come to define its evolution. It aims to equip readers with the insights, knowledge, and practical strategies needed to navigate the intricate realm of cloud computing while safeguarding their most valuable assets. This book's exploration into security, privacy, and trust in cloud computing takes a holistic approach. Throughout the chapters of this book, readers will embark on a multidimensional expedition. This book will take them through real-world case studies of successful cloud security implementations and unfortunate breaches that underscore the urgency of robust defenses. From data encryption techniques to incident response protocols, this book offers practical insights and actionable strategies that can be implemented by IT professionals, security experts, and decision-makers alike.
In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicine provides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem.
Organizations face a pressing challenge in today's rapidly evolving economies: navigating the ethical complexities of adopting Artificial Intelligence (AI) and related technologies. As AI becomes increasingly integral to operations, transparency, fairness, accountability, and privacy concerns are more critical than ever. Organizations need practical guidance to develop and implement AI ethics strategies effectively. Cases on AI Ethics in Business offers a comprehensive solution by examining AI Ethics through theoretical lenses and innovative practices. It provides a roadmap for organizations to address ethical challenges in AI adoption, offering insights from leaders in the field. With a focus on theory-to-practice, the book equips readers with actionable strategies and frameworks to navigate the ethical implications of AI, ensuring responsible and sustainable AI deployment.
The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures. Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development.
Hispanic Leadership in Higher Education addresses a persistent gap that inhibits Hispanic professionals from reaching leadership positions within academia. Led by Dr. Elsa Villarreal, Dr. Jose Parra, Dr. Melissa Arrambide, Dr. LaVelle Hendricks, and Dr. Dimitra Smith, a panel of distinguished scholars presents this book as a guide for catalyzing change. The volume delves into the experiences and strategies that propel Hispanic professionals forward, dissecting policies in Hispanic-serving and predominantly White institutions. It not only uncovers barriers but also provides practical solutions for recruitment and leadership development, reshaping the academic landscape for Hispanics. Geared toward faculty, administrators, students, researchers, and academicians, the book redefines scholarship, advocacy, and practical implementation. Readers gain insights into the challenges faced by Hispanics in academia, fostering inclusivity and reshaping the academic landscape into one where Hispanic leaders can flourish. The narrative promotes resilience, aspiration, and change, enriching higher education immeasurably.
Effective educational planning tools can transform the future of education systems. From policy formulation to leadership and management strategies, these planning tools are pivotal when navigating complex educational reform for equitable student learning opportunities. It is necessary to explore data insights into systemic improvements and successful education environments, when developing plans for institutional change. Change transformations must be informed by current challenges as technologies continue to shift and the demand for equity in education becomes pivotal. Planning Tools for Policy, Leadership, and Management of Education Systems explores solutions for improved education system management as well as effective policies and leadership skills in education administration. It covers issues of planning, policy, and management in education for institutional change transformation and policy implementation. This book covers topics such as digital technology, education policy, and sustainable development, and is a useful resource for administrators, teachers, education professionals, policymakers, business owners, academicians, scientists, and researchers.
Through a combination of rapid technological advancement and the ongoing digital revolution, the role of Human Resources (HR) in shaping organizational trajectories has seen unprecedented growth. The amalgamation of digital HR technologies and the advent of Industry 5.0 pose both exceptional opportunities and formidable challenges, especially for developing economies grappling with resource constraints and skill gaps. These nations stand at a crossroads, where leveraging digital HR technologies becomes imperative for bolstering their competitive edge in the global arena. The book Convergence of Human Resources Technologies and Industry 5.0 undertakes a comprehensive exploration of the impacts, implementation, and repercussions of digital HR technologies within the framework of Industry 5.0 in developing economies. Bridging the gap between theory and practice, it employs a comprehensive approach encompassing theoretical frameworks, empirical investigations, and practical insights from both academia and industry. By offering tangible takeaways, and approaches, it equips readers to adeptly harness the power of digital HR technologies, enabling organizations to thrive in the era of Industry 5.0. Designed for HR professionals, executives, managers, researchers, policymakers, and students, this book delves into critical topics such as understanding the notion of Industry 5.0 in developing economies, exploring the transformative potential of digital HR technologies, and addressing challenges associated with their implementation.