It is well-established that every organization is founded with a specific purpose and goals. Virtually all business organizations obtain measurements and metrics dealing with outcomes and results. However, what is reflected on the balance sheet does not necessarily show the actual worth of the organizations and ensure their survival and sustainability. Thus, the question arises, what exactly makes the organizations sustainable and thriving in an ever-changing environment? There are several examples of companies like Faber-Castell, Bank of Ireland, Chivas, DuPont and many more which have been able to sustain and survive over more than 200 years and still have a successful existence in the present era. Thus, it is important for the organization to pay equal attention to its three bottom lines, i.e., people, profit and planet for its sustainability, which not only meet the needs of the present generation but should have a futuristic approach as well. In the present era, organizations are adopting a new normal working dynamic and coping with the post-pandemic situations to sustain themselves in the business environment. Technology plays a significant role in this new working dynamic, and cutting-edge technologies like machine learning, artificial intelligence, blockchain,ChatGPT, Internet of Things, and much more effectively facilitate human functioning at work. The book aims to contribute to understanding and developing sustainable human resource management processes and practices aligned with recent technologies. It highlights the interconnection among the three bottom-line sustainable approaches for the growth and development of the organization. Topics discussed in this book include: • Disruptive Technologies and HR Sustainability • Convergence of Innovative Technologies, HR and Organizational Growth • Triple bottom-line Sustainability for HRM • Business-oriented Talent analytics and HR Sustainability • Role of Leadership in sustainable HRM practices.

In the ever-evolving landscape of management, the introduction of robo-advisors has introduced challenges and opportunities that require careful examination. Organizations grapple with the profound impact of these automated systems on decision-making processes, resource allocation, and strategic planning. The need for a comprehensive understanding of how robo-advisors integrate into various management functions and sectors has become paramount. Decision-makers, researchers, and students seeking clarity in this transformative period are faced with a shortage of literature that bridges theoretical insights with practical applications. Robo-Advisors in Management stand out as a pioneering solution to this crucial gap in the existing body of knowledge. This book does not merely explore the challenges presented by robo-advisors; it delves into the heart of these challenges and navigates the diverse applications of these technologies in sectors ranging from wealth management to healthcare and real estate. By seamlessly blending theoretical foundations with real-world scenarios, the book equips both professionals and academics with the tools needed to comprehend and harness the potential of robo-advisors. It is an invaluable resource for decision-makers looking to optimize their strategies, researchers seeking in-depth insights, and students aspiring to navigate the intersection of management and fintech.

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.

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.

With today’s rapidly evolving digital landscape, businesses in the hospitality and tourism industries face the challenge of harnessing the power of emerging technologies to stay competitive and meet the evolving needs of travelers. From personalized guest experiences to efficient operations and sustainable practices, there is a growing demand for innovative solutions that leverage artificial intelligence (AI) and cutting-edge technology. However, navigating this technological landscape can be daunting, with businesses often grappling with questions of implementation, integration, and ethical considerations. Impact of AI and Tech-Driven Solutions in Hospitality and Tourism emerges to provide insight and guidance in addressing these challenges. By delving into the transformative potential of AI and technology, this book offers a comprehensive exploration of how these innovations are reshaping the hospitality and tourism sectors. Through in-depth analyses, case studies, and practical examples, readers gain valuable insights into the myriad ways in which AI-driven solutions can enhance guest experiences, streamline operations, and drive sustainable practices within the industry.

Technological enhancements are transforming the modern workforce through transhumanism, a movement that explores the integration of advanced technology with human capabilities. By leveraging innovations such as brain-computer interfaces, augmented reality, and AI-driven cognitive tools, organizations can amplify employee potential while redefining productivity and creativity. These technologies also enable workers to enhance cognitive functions and adapt to complex tasks. As transhumanist ideals become prevalent, businesses must use this lens to create a more agile and capable workforce, where human and machine collaboration leads to efficiency and innovation. Enhancing the Modern Workforce Through Transhumanism examines the effects of transhumanism on modern employees and their potential productivity and efficiency. It offers solutions for workplace development using technology like robotics, artificial intelligence, machine learning, augmentation, and data analysis. This book covers topics such as digital technology, ethics, and workplace culture, and is a useful resource for computer engineers, human resource professionals, business owners, healthcare workers, economists, academicians, scientists, and researchers.

The use of intelligence in manufacturing has emerged as a fascinating subject for academics and businesses everywhere. This book focuses on various manufacturing operations and services which are provided to customers to achieve greater manufacturing flexibility, as well as widespread customization and improved quality with the help of advanced and smart technologies. It describes cyber-physical systems and the whole product life cycle along with a variety of smart sensors, adaptive decision models, high-end materials, smart devices, and data analytics. Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities focuses on Intelligent Manufacturing and the design of smart devices and products that meet the demand of Industry 4.0, manufacturing and cyber-physical systems, along with real-time data analytics for Intelligent Manufacturing. The usage of advanced smart and sensing technologies in Intelligent Manufacturing for healthcare solutions is discussed as well. Popular use cases and case studies related to Intelligent Manufacturing are addressed to provide a better understanding of this topic. This publication is ideally designed for use by technology development practitioners, academicians, data scientists, industry professionals, researchers, and students interested in uncovering the latest innovations in the field of Intelligent Manufacturing. Features: Presents cutting-edge manufacturing technologies and information to maximise product exchanges and production Discusses the improvement in service quality, product quality, and production effectiveness Conveys how a manufacturing company's competitiveness can increase if it can manage the turbulence and changes in the global market Presents how intelligence production is essential in Industry 4.0 and how Industry 4.0 offers greater manufacturing flexibility, as well as widespread customisation, improved quality, and increased productivity Covers the ways businesses handle the challenges of generating an increasing number of customised items with quick time to market and greater quality Includes popular use cases and case studies related to intelligent manufacturing to provide a better understanding of this discipline