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Quality of Life: An Interdisciplinary Perspective presents the Quality of Life using a contemporary and interdisciplinary approach. Various socio-cultural, spiritual, technological, and human factors aspects, which have an immense bearing on our lives, are an integral part of this book. This book highlights cultural differences in terms of Quality of Life. It recognizes the presence of cultural differences resulting from the social status attributed to an individual’s age, gender, class, race, and ethnicity. It can be used as a guide in the field of global well-being and for future research. It presents clues to complex problems and empirical materials, and attempts to bring out a more comprehensive picture of global and contemporary Quality of Life and well-being. This book can also fill a gap in teaching and research. Those who will find this book useful are researchers, academicians, practitioners, and students of management, behavioral science, human factors, psychology, health economics, sociology, public health, and politics.
This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven blockchain ecosystems. The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and Emerging Technologies discusses how to implement and manage processes for releasing and delivering blockchain applications. It presents the core of blockchain technology, IoT-based and AI-based blockchain systems, and various manufacturing areas related to Industry 4.0. The book illustrates how to apply design principles to develop and manage blockchain networks, and also covers the role that cloud computing plays in blockchain applications. All major technologies involved in blockchain-embedded applications are included in this book, which makes it useful to engineering students, researchers, academicians, and professionals interested in the core of blockchain technology.
This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the information into one resource. The book is divided into 4 sections that covers IoT and technologies, the future of Big Data, algorithms, and case studies showing IoT and Big Data in various fields such as health care, manufacturing and automation. Features Focuses on the latest workings of IoT and Big Data Discusses the emerging role of technologies and the fast-growing market of Big Data Covers the movement toward automation with hardware, software, and sensors, and trying to save on energy resources Offers the latest technology on IoT Presents the future horizons on Big Data
Over the next few years, smart city technologies will be rolled out, and the IoT devices and AI-centric systems will provide even more far-reaching connectivity. This book presents various concepts in the design and development of a smart city and methodologies and solutions involved in designing contemporary infrastructure for building smart cities around the world. The book will focus mainly on six areas of smart city infrastructures: smart city entities, IoT-based solutions, AI-centric control systems, smart systems, cybersecurity mechanisms, data science, and cloud computing for the deployment of the smart ecosystem. AI-Centric Smart City Ecosystem: Technologies, Design, and Implementati...
The Indian Council of Social Science Research, the premier organization for social science research in India, conducts periodic surveys in the major disciplines of the social sciences to assess disciplinary developments as well as to identify gaps in research in these disciplines.
This volume critically analyzes the convergence of technology, business practices, public policies, political ideologies, and societal values for improving business performance at the global-local paradigm. It also enriches knowledge on contemporary business strategies against conventional wisdom of managing companies today. Shifts in the global economic and political order have significantly affected the business patterns within developed, developing, and emerging markets. The reversal of political ideologies from liberal to protectionist business frameworks are disrupting the trade flows that were rooted in the international economy since the mid-twentieth century. The essays contemplate developing new visions and business perspectives to match with the changing political ideologies in emerging markets. This volume will serve as a valuable tool to readers looking for global market management strategies to generate cost-effective business models and create convergence with political and social values to drive better governance of businesses.
This book covers big data, machine learning, and artificial intelligence-related technologies and how these technologies can enable the design, development, and delivery of customer-focused financial services to both corporate and retail customers, as well as how to extend the benefits to the financially excluded sections of society. Artificial Intelligence, Fintech, and Financial Inclusion describes the applications of big data and its tools such as artificial intelligence and machine learning in products and services, marketing, risk management, and business operations. It also discusses the nature, sources, forms, and tools of big data and its potential applications in many industries for competitive advantage. The primary audience for the book includes practitioners, researchers, experts, graduate students, engineers, business leaders, and analysts researching contemporary issues in the area.
Natural Language Processing In Healthcare: A Special Focus on Low Resource Languages covers the theoretical and practical aspects as well as ethical and social implications of NLP in healthcare. It showcases the latest research and developments contributing to the rising awareness and importance of maintaining linguistic diversity. The book goes on to present current advances and scenarios based on solutions in healthcare and low resource languages and identifies the major challenges and opportunities that will impact NLP in clinical practice and health studies.
An essential textbook for the CIPD Level 7 module in Resourcing and Talent Management which covers the recruitment, selection and retention of staff as well as employee retirement, dismissals and redundancy. Resourcing and Talent Management provides broad and accessible coverage of key topics for HR masters students and is the essential companion for the CIPD Level 7 module of the same name. It covers everything from job design and both internal and external recruitment through to interviewing, selection and contracts of employment. There is also guidance on staff retention, succession planning, employee turnover as well as crucial information on how staff leave the business whether this is ...