This book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture. The lockdown has been announced to control the spread of COVID-19 infections, however people/industries/organizations were not ready for lockdown and it has greatly affected their growth. The front workers in the healthcare sector suffered a lot as major responsibilities they needed to carry on. The education sector is also hampered due to the pandemic as schools, colleges were closed and teaching, examinations were carried out on online platforms. These platforms were new to teachers as well as students. The real estate sector faced tremendous loss in this pandemic as people were scared and no one ready to invest their money in such an uncertain time. The agriculture filed is also suffered as raw materials required for agriculture were not available readily due to pandemic. This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study.
This book is focused on AI-empowered knowledge management to improve processes, implementation of technology for providing easy access to knowledge and the impact of knowledge management to promote the platform for generation of new knowledge through continuous learning. The book discusses process of knowledge management which includes entirety of the creation, distribution, and maintenance of knowledge to achieve organizational objectives. It also covers knowledge management tools which enable and enhance knowledge creation, codification, and transfer within business firms thereby reducing the burden of work and allowing application of resources and effective usage towards practical tasks. An immense growth of artificial intelligence in business organizations has occurred and AI-empowered knowledge management practice is leading towards growth and development of the organization.
This book provides a detailed vogue picture of workforce management. Nowadays, the methodology of people management has been more advanced and dynamic; it becomes highly competitive. Keeping in mind the significance of economic and social development of the country, the author has tried to draw attention on innovative and creative practices of workforce retention in business. The book provides an idea on the way of merchandising with people, cultural dynamics with impacted leadership, investment in people for organizational transformation and the future of people management with artificial intelligence.
Decent Work-Life in Business: Essential Tool for Sustainable Development presents a detailed discussion of the concept of decent work-life and its application in business for sustainable development. It discusses decent work-life culture in a business environment. The book makes a strong case for decent work, which not only provides work opportunities but also delivers a fair income, fair treatment, security at the workplace, and social protection for families. With the help of empirical data and statistical indicators, it explores themes such as: ILO and decent work agenda opportunities for work and dignity at work social dimensions of globalization and sustainable development poverty reduction through decent work work-life balance and social protection unacceptable work and social dialogue economic and social context of decent work This book will be an indispensable resource for the students, scholars and teachers of business management and especially those pursuing a career in human resource management. It will also interest scholars of political economy, sociology of work, business management, human resource management, labour studies, public policy, and social anthropology alongside industry experts.
Soumi Majumder and Nilanjan Dey address the unique challenges posed by Industry 4.0, exploring the intersection of risks and cultural shifts within the business landscape. Key topics include the transformative potential of machine learning; big data; and IoT in the domain of enterprise risk management.
This book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture. The lockdown has been announced to control the spread of COVID-19 infections, however people/industries/organizations were not ready for lockdown and it has greatly affected their growth. The front workers in the healthcare sector suffered a lot as major responsibilities they needed to carry on. The education sector is also hampered due to the pandemic as schools, colleges were closed and teaching, examinations were carried out on online platforms. These platforms were new to teachers as well as students. The real estate sector faced tremendous loss in this pandemic as people were scared and no one ready to invest their money in such an uncertain time. The agriculture filed is also suffered as raw materials required for agriculture were not available readily due to pandemic. This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study.
This book is focused on AI-empowered knowledge management to improve processes, implementation of technology for providing easy access to knowledge and the impact of knowledge management to promote the platform for generation of new knowledge through continuous learning. The book discusses process of knowledge management which includes entirety of the creation, distribution, and maintenance of knowledge to achieve organizational objectives. It also covers knowledge management tools which enable and enhance knowledge creation, codification, and transfer within business firms thereby reducing the burden of work and allowing application of resources and effective usage towards practical tasks. An immense growth of artificial intelligence in business organizations has occurred and AI-empowered knowledge management practice is leading towards growth and development of the organization.
Decent Work-Life in Business: Essential Tool for Sustainable Development presents a detailed discussion of the concept of decent work-life and its application in business for sustainable development. It discusses decent work-life culture in a business environment. The book makes a strong case for decent work, which not only provides work opportunities but also delivers a fair income, fair treatment, security at the workplace, and social protection for families. With the help of empirical data and statistical indicators, it explores themes such as: ILO and decent work agenda opportunities for work and dignity at work social dimensions of globalization and sustainable development poverty reduction through decent work work-life balance and social protection unacceptable work and social dialogue economic and social context of decent work This book will be an indispensable resource for the students, scholars and teachers of business management and especially those pursuing a career in human resource management. It will also interest scholars of political economy, sociology of work, business management, human resource management, labour studies, public policy, and social anthropology alongside industry experts.
This book provides a detailed vogue picture of workforce management. Nowadays, the methodology of people management has been more advanced and dynamic; it becomes highly competitive. Keeping in mind the significance of economic and social development of the country, the author has tried to draw attention on innovative and creative practices of workforce retention in business. The book provides an idea on the way of merchandising with people, cultural dynamics with impacted leadership, investment in people for organizational transformation and the future of people management with artificial intelligence.
Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data. Investigates various methodologies and algorithms for data summarization, clustering and classification Covers both theory and practical applications from around the world, across all related disciplines of Intelligent Information Filtering and Organization Systems Explores different challenges and issues related to spam filtering, attribute selection, and classification for large datasets
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