Emerald Studies In Finance, Insurance, And Risk Management 7 explores how AI and Automation enhance the basic functions of human resource 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.

As artificial intelligence (AI) transforms human resources (HR), its integration brings both opportunities and ethical challenges. AI can enhance recruitment, performance evaluation, and employee engagement. However, without careful oversight, it risks perpetuating biases, compromising privacy, and reducing transparency. It's crucial for HR professionals and organizations to adopt a responsible approach, ensuring that AI aligns with values of fairness, accountability, and respect for individual rights. Human Resource Strategies in the Era of Artificial Intelligence elucidates how AI technologies can be strategically integrated into HR functions to enhance organizational performance and employee well-being. This book offers essential ethical frameworks, guidelines, and best practices for integrating AI into HR. Aimed at HR professionals, researchers, policymakers, and technology developers, it provides the insights needed to responsibly navigate AI's complexities in the workplace, promoting ethical AI adoption and safeguarding the integrity of HR practices.

The post-pandemic era has brought about significant disruptions to the human resources management function, exacerbating existing challenges such as labor shortages and global skills gaps. As a result, effectively managing employee engagement and productivity in a multigenerational workforce has become more challenging than ever. Enhancing Employee Engagement and Productivity in the Post-Pandemic Multigenerational Workforce, editors Even and Christiansen provide a holistic perspective on the changing global landscape of human resources management. The book offers practical insights and strategies for managing employee engagement and productivity in a multigenerational workforce, including DEI, work-life balance, job satisfaction, and hiring and retention practices. Targeting academic scholars in the human resource management sphere, this publication offers a contemporary resource that addresses the current challenges faced by businesses and organizations. Whether you're a scholar-practitioner or graduate student, this book provides a comprehensive guide to navigating the post-pandemic multigenerational workforce and enhancing employee engagement and productivity.

This volume brings together specialists from different disciplines and continents to discuss descriptive/diagnostic, predictive, and prescriptive analytics tools and how they might be used to investigate 'black swan' occurrences like the COVID-19-related worldwide catastrophe and the ramifications for managers and policymakers.

In the rapidly evolving environment of academia and industry, a critical challenge emerges how to navigate the complexities of innovation-driven trade and foster synergies between these two realms. As industries grapple with the demands of innovation, educational institutions seek avenues to bridge the gap and contribute meaningfully to economic development. This challenge requires a comprehensive exploration of the profound and transformational terrain that is shaping partnerships between academia and industry. The current situation poses multifaceted challenges, from staying abreast of industry trends and fostering sustainable practices to navigating legal complexities and ensuring organizational growth. As industries strive for innovation, academic institutions face the imperative to not only keep pace but lead the way. The disconnect between these two realms hinders the realization of a future molded by their collaborative efforts, impeding sustainable progress and economic development. There is an urgent need to address these challenges, acknowledging the intricacies of industry-academia collaborations and their far-reaching impact on effectiveness. Fostering Industry-Academia Partnerships for Innovation-Driven Trade serves as a definitive solution to the identified problem, offering an in-depth exploration of pioneering work in industry-academia collaborations. Tailored for educational and research institutions, as well as libraries of central and state governments, it transcends borders to hold global importance. Designed for specific courses across various academic programs, delving into critical themes such as general management, legal practices, finance, economics, information technology, artificial intelligence, marketing, international business, and human resource management. Each section of the book contributes to unraveling the intricacies of collaboration, providing insights that are not only timely but universally significant.

Studies have indicated that employers across the globe face difficulties in filling critical roles, sparking a worldwide "war for talent." This talent war, once a temporary market condition, has now solidified into the "New Normal." Leaders recognize that success in this era demands the construction of optimal teams for strategic competitive advantage amid global uncertainty and hypercompetition. As explored in detail within the pages of Global Practices on Effective Talent Acquisition and Retention, this book serves as an indispensable guide for scholars and practitioners navigating the intricacies of talent management in the current global scenario. This project aspires to create a comprehensive reference material delving into diverse aspects of current global talent realities. It aims to provide scholars and practitioners with recent empirical, practical, and theoretical research on talent acquisition and retention practices worldwide. The emphasis is on sustainable practices that drive organizational success across multiple industries. The impact of this publication will resonate in both application and the direction of future research.

Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies.