Soumi Majumder

This book is a practical guide to the integration of generative AI into human resources, covering use cases across recruitment, onboarding, training, and retention. It offers strategic guidance, ethical frameworks, and technical insights to help organisations deploy generative AI effectively while safeguarding fairness, privacy, and compliance. It covers AI-driven applications in talent acquisition, onboarding, employee engagement, career development, and decision-making, while addressing key concerns such as algorithmic bias, data privacy, and regulatory compliance. With practical case studies and deployment templates, the book provides a structured approach to evaluating and integrating generative AI tools within HR systems. From resume screening to personalised learning paths and predictive analytics, this book bridges the gap between AI technologies and HR operations to help organisations build agile, ethical, and employee-centric workplaces. • Examines generative AI’s applications across recruitment, onboarding, L&D, engagement, and retention • Provides strategic frameworks for integrating AI into HR ecosystems • Includes case studies and practical deployment examples from real organizations • Addresses key issues of AI bias, explainability, data privacy, and compliance • Offers guidance on selecting and evaluating HR-specific AI tools • Explains core AI concepts for both technical and non-technical HR professionals • Includes future-focused insights into AI-driven workforce planning and employee experience design This book is for HR professionals, business leaders, AI developers, and organizational strategists seeking to understand, implement, and manage generative AI solutions in the HR domain.

This book is a practical guide to the integration of generative AI into human resources, covering use cases across recruitment, onboarding, training, and retention. It offers strategic guidance, ethical frameworks, and technical insights to help organisations deploy generative AI effectively while safeguarding fairness, privacy, and compliance. It covers AI-driven applications in talent acquisition, onboarding, employee engagement, career development, and decision-making, while addressing key concerns such as algorithmic bias, data privacy, and regulatory compliance. With practical case studies and deployment templates, the book provides a structured approach to evaluating and integrating generative AI tools within HR systems. From resume screening to personalised learning paths and predictive analytics, this book bridges the gap between AI technologies and HR operations to help organisations build agile, ethical, and employee-centric workplaces. • Examines generative AI’s applications across recruitment, onboarding, L&D, engagement, and retention • Provides strategic frameworks for integrating AI into HR ecosystems • Includes case studies and practical deployment examples from real organizations • Addresses key issues of AI bias, explainability, data privacy, and compliance • Offers guidance on selecting and evaluating HR-specific AI tools • Explains core AI concepts for both technical and non-technical HR professionals • Includes future-focused insights into AI-driven workforce planning and employee experience design This book is for HR professionals, business leaders, AI developers, and organizational strategists seeking to understand, implement, and manage generative AI solutions in the HR domain.

This book explores the concept of employee engagement, which is crucial for a company's success, as it is closely linked to job satisfaction and employee morale. Engaged workers tend to be more productive, efficient, and committed to the values and objectives of the company. Artificial intelligence plays a significant role in HR analytics, particularly in automating tedious tasks like data collection and organization from multiple sources. AI-driven employee engagement software can analyze employee feedback, surveys, and social media posts to capture the overall sentiment of the workforce. This allows HR teams to gain insights into employee experiences and perceptions, uncover areas for improvement, and address any issues that require attention. By leveraging past data and employing machine learning algorithms, AI enables HR professionals to predict turnover rates, forecast employee engagement levels, and identify potential flight risks.

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.

In today's dynamic business landscape, the effective management of risk is paramount to the success and resilience of any organization. A Notion of Enterprise Risk Management presents a comprehensive exploration of practices, policies, and frameworks that enable businesses to navigate a myriad of risks. Contributions from a global team of authors provides a range of insights on Enterprise Risk Management (ERM) and its pivotal role in safeguarding organizations against potential hazards. Drawing on contemporary research, it addresses 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. With its comprehensive coverage and diverse perspectives, A Notion of Enterprise Risk Management is an indispensable resource for individuals involved in any form of risk management. Whether you are an academic researcher, a seasoned practitioner, or a policymaker, this book will equip you with the knowledge and tools necessary to navigate the complexities of enterprise risk management.

This book provides a detailed picture of the metaverse for industry 5.0. In the context of Industry 5.0, the concept of the metaverse aligns with the vision of Web 4.0, representing a digital ecosystem where individuals and organizations collaborate in a human-centric approach to create personalized value.This virtual universe connects multiple interconnected worlds, enabling real-time interactions between users and computer-generated environments. By integrating technologies such as artificial intelligence (AI), virtual reality (VR), augmented reality (AR), mixed reality(MR) and the Internet of Things (IoT), the metaverse within Industry 5.0 aims to foster innovation and enhance productivity, efficiency, and overall well-being through tailored and value-driven solutions. This book explores the concept of the metaverse in the context of Industry 5.0, highlighting its definition, evolution, advantages, and disadvantages. It also discusses pillars of technological advancement, challenges, and opportunities, ethical issues including its integration into various sectors, i.e., healthcare, construction, manufacturing and others. The entry concludes with a proposal for a conceptual framework for integrating the human-centric metaverse.

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.

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 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 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.