Albert Camus

Driving Excellence Through AI-Powered Performance Management

Industry 4.0 has had a transformative impact on modern business practices through the integration of technologies such as artificial intelligence (AI), big data, blockchain, the Internet of Things (IoT), smart contracts, and machine learning. These innovations have reshaped core business disciplines, including financial decision-making, management accounting, taxation, supply chains, digital entrepreneurship, marketing, and customer experience. However, they have also raised significant ethical, economic, and sustainability concerns that must be carefully addressed. Driving Excellence Through AI-Powered Performance Management brings together research from multiple disciplines, including finance, accounting, management, economics, technology, and business strategy, to provide a comprehensive analysis of the challenges and opportunities businesses face in the digital era. Each chapter investigates a key technological advancement and its role in optimizing business efficiency, fostering innovation, and driving economic development. Covering topics such as industry 4.0, sustainable performance, and organizational transformation, this book is an excellent strategic resource for scholars, policymakers, and business leaders, and more.

Driving Excellence Through AI-Powered Performance Management

Industry 4.0 has had a transformative impact on modern business practices through the integration of technologies such as artificial intelligence (AI), big data, blockchain, the Internet of Things (IoT), smart contracts, and machine learning. These innovations have reshaped core business disciplines, including financial decision-making, management accounting, taxation, supply chains, digital entrepreneurship, marketing, and customer experience. However, they have also raised significant ethical, economic, and sustainability concerns that must be carefully addressed. Driving Excellence Through AI-Powered Performance Management brings together research from multiple disciplines, including finance, accounting, management, economics, technology, and business strategy, to provide a comprehensive analysis of the challenges and opportunities businesses face in the digital era. Each chapter investigates a key technological advancement and its role in optimizing business efficiency, fostering innovation, and driving economic development. Covering topics such as industry 4.0, sustainable performance, and organizational transformation, this book is an excellent strategic resource for scholars, policymakers, and business leaders, and more.

1. Kate¿ina , Musilová

Disguised Agency Employment and Illegal Work

This book deals with the legal and ethical aspects of disguised agency employment and illegal work, with particular emphasis on the protection of foreign workers. In the first part of the book, the author analyses the legal regulation of agency employment in the Czech Republic, including historical and legislative development. The second part explores the ethical aspects of disguised agency employment, as well as covert employer practices. In the third part of the book focuses on the issue of illegal work, its various forms, and the socio-economic consequences associated with it. The fourth part compares the Czech legal framework with foreign regulation. Based on these findings, the author formulates recommendations for improving the legal and ethical framework in the Czech Republic.  About the Author  Kate¿ina Musilová is a graduate of the Faculty of Law at Masaryk University in Brno (Czech Republic) and currently works as a junior associate at a law firm. Her professional focus builds on practical experience in labor law, bancrupcy law, and construction law.

Exploring the Intersection of AI and Human Resources Management

In today's rapidly evolving digital landscape, the power of Artificial Intelligence (AI) is increasingly recognized as organizations seek to disrupt and transform processes in order to drive innovation in their business models. However, despite substantial investments in AI implementation, recent research indicates that organizations are struggling to realize the expected benefits. Furthermore, many firms face challenges when it comes to effectively integrating AI applications into their existing organizational systems. To bridge this gap, there is an urgent need to deepen understanding of AI techniques, particularly in the context of Asian organizations, where diverse workforces, cultural differences, language barriers, and skill shortages present unique complexities. Exploring the Intersection of AI and Human Resources Management explores the methodologies, theories, and perspectives related to the application of AI in organizations. Focused on the convergence of Human Resource Management (HRM) and AI, this book aims to provide invaluable insights to academics, researchers, policymakers, organizational managers, advanced-level students, leaders, academicians, and government officials. By shedding light on the tools and applications of AI in optimizing human resources, this book expands the horizons of research and encourages the seamless integration of HRM and AI.

Exploring the Intersection of AI and Human Resources Management

In today's rapidly evolving digital landscape, the power of Artificial Intelligence (AI) is increasingly recognized as organizations seek to disrupt and transform processes in order to drive innovation in their business models. However, despite substantial investments in AI implementation, recent research indicates that organizations are struggling to realize the expected benefits. Furthermore, many firms face challenges when it comes to effectively integrating AI applications into their existing organizational systems. To bridge this gap, there is an urgent need to deepen understanding of AI techniques, particularly in the context of Asian organizations, where diverse workforces, cultural differences, language barriers, and skill shortages present unique complexities. Exploring the Intersection of AI and Human Resources Management explores the methodologies, theories, and perspectives related to the application of AI in organizations. Focused on the convergence of Human Resource Management (HRM) and AI, this book aims to provide invaluable insights to academics, researchers, policymakers, organizational managers, advanced-level students, leaders, academicians, and government officials. By shedding light on the tools and applications of AI in optimizing human resources, this book expands the horizons of research and encourages the seamless integration of HRM and AI.

Diversity and Precarious Work During Socio-Economic Upheaval

"Most studies of precarity exclude categories of diversity, such as gender, ethnicity, age, disability and sexuality. This volume explores precarity and diversity together and will appeal to scholars in human resource management, diversity management, organizational behaviour and theory, the sociology of work, gender studies and public relations"--