Soumi Majumder – författare

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.

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 new volume presents a range of techniques that aim to enhance the operation of human resource management by applying state-of-the-art artificial intelligence technology. With illustrative case studies, the volume uses examples from several real-life problems and includes their possible solutions using advanced AI technology. The book explores the confluence of smart computing and traditional businesses to foster productivity, profitability, and prosperity and goes on to apply AI techniques in the recruitment process, with enterprise resource planning management software, for manpower optimization systems in colleges, for creating uniformity in HRM across organizations, for creating conflicting strategy management techniques, and more. One pandemicrelated chapter discusses the use of radio frequency-based technology for monitoring social distancing.

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 examines how artificial intelligence (AI) will impact labour negotiations, the future of employment, and the larger dynamics of industrial relations. It also discusses how AI has become a revolutionary force in many societal and economic areas in the quickly changing twenty-first century. The book covers topics, such as, introduction to AI driven industrial relations, importance and benefits of incorporating AI in industrial relations, AI and its applications in different industries, harnessing the power of industrial AI for optimizing operations and productivity, impact of AI on work and workers, rise of new jobs and skills, algorithmic management and employee monitoring,  future of work: human-AI collaboration, and real-world examples of organizations implementing AI in industrial relations.

The book examines how artificial intelligence (AI) is changing methods used by individuals and organizations to address wellbeing. The book examines the convergence of AI, psychology, workplace culture, and personal wellness, providing practical advice on utilizing technology to foster healthier, happier, and more efficient settings. The book emphasizes that AI technologies such as sentiment analysis, customized health applications, and intelligent wearables can track and enhance both physical and mental wellbeing. It explores algorithms that identify burnout, stress, and disengagement, enabling prompt interventions in personal and work settings. Real world case studies demonstrate how AI enhances communication, streamlines workloads, and creates work environments that improve employee contentment. The text explores the ways in which AI-powered platforms can tailor employee experiences, covering aspects such as mental health assistance and career growth. The book confronts ethical challenges head-on, discussing privacy issues, data security, and the need for transparency in implementing AI solutions connected to wellbeing. It anticipates upcoming trends such as emotional AI, predictive analytics for preventative health actions, and the merging of AI with human-centred leadership.

This book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture.

This book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture.

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.

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.

mso-ansi-language: EN-US;">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. AI-driven employee engagement software can analyze employee feedback, surveys, and social media posts to capture the overall sentiment of the workforce.

This book provides a detailed picture of the metaverse for industry 5.0.

This book provides a detailed vogue picture of workforce management. 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.