Organizations are facing an array of complex challenges that demand innovative solutions. From managing a diverse workforce and harnessing the power of data analytics to adapting to remote work and the pressing need for emotionally intelligent leaders, the demands on modern businesses are constantly evolving and increasing. Staying ahead of these challenges is not only essential for survival but also for thriving in an ever-changing environment. Leveraging AI and Emotional Intelligence in Contemporary Business Organizations is a compass that guides academic scholars, students, and practitioners through the turbulent seas of modern business management. It dissects the problems and offers clear, well-researched solutions. With a team of respected researchers, academicians, and professionals at the helm, this book is a beacon of knowledge, illuminating the path to success in today's business landscape.

This book takes a fresh stance and views EI and AI as services that are provided by service employees and machines as organisational offerings to customers. As emotional intelligence (EI) and artificial intelligence (AI) have been cited to have broad effects on individuals, businesses and beyond, this book is focused on the organisational context, specifically how they affect employees and customers from a marketing perspective. The stance in this book is consistent with the conceptualisation of a service. This book holds that intelligence in businesses must turn into organisational assets to manifest their values. Further, this book explores this service-dominant logic era, and compared to tangible products, service plays a key role in organisational performance and customer relationship with the organisation. Intelligence exhibited either by human or machine is not a tangible product, but can be utilised as a service to assist employees in performing tasks and delivering services as well as facilitating business transaction and customer experience. This book is structured as follows. Chapters 2 and 3 demystify emotional and artificial intelligence, from different perspectives, including conceptualisations, the history and evolution of the concepts, how they function and where they can apply to. These discussions help readers understand what exactly these two intelligences are. Chapters 4 and 5 analyse how emotional intelligence is related to employees and customers, respectively, with a focus on service organisations. Chapters 6–8 are dedicated to anatomising AI and how it is operationalised as a service to influence employees and customers. Specifically, viewing AI as a service, Chapter 6 examines the impact of AI service quality and how it is related to employee service quality. Chapter 7 analyses the influence of AI service quality on customers. Based on the discussion in Chapters 6 and 7, Chapter 8 is extended to develop a scale to measure such AI service, named AI service quality. The last three chapters of this book integrate EI and AI to analyse their respective impacts on employees and customers. Chapter 9 proposes EI as a moderator of AI, whereas Chapter 10 proposes AI as a moderator of EI. Chapter 11 employs service profit chain to integrate EI and AI in the chain relationship to understand their effects on both employees and customers. This chapter broadly covers the service industry with a focus on tourism and hospitality sector. The discussion on the impact of EI and AI is complemented with empirical studies conducted in tourism or hospitality context to address their effects in these sectors.

The ever-evolving field of management in today's corporate world is marked by constant disruptions and turbulence. The emergence of Artificial Intelligence (AI) and Emotional Intelligence (EI) presents opportunities for automation, optimization, and effective leadership, but it also raises concerns about job displacement and the need to bridge the gap between these two domains. AI and Emotional Intelligence for Modern Business Management: Bridging the Gap and Nurturing Success offers solutions to closing the knowledge gap. This book provides comprehensive insights and practical strategies to academic scholars, researchers, practitioners, educators, and students. Targeting a diverse audience, this book serves as a solution-oriented resource for navigating the complexities of AI and EI in business management. By addressing both AI and EI, the book equips readers with the necessary tools to integrate these domains seamlessly into modern business management practices, stimulating informed discussions, inspiring innovative approaches, and fostering a deeper understanding of the opportunities and challenges posed by these emerging fields.

In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin technology to stay competitive and relevant. This challenge is exacerbated by the rapid evolution of these technologies and the urgent need for businesses to adapt. AI continues to advance in areas such as language comprehension, pattern recognition, decision-making, and experiential learning, while digital twins are transforming into electronic replicas of real-world entities. Consequently, businesses grapple with the complexities of navigating this transformative convergence. Digital Twin Technology and AI Implementations in Future-Focused Businesses addresses the pressing issue of how AI and digital twin technology are altering the very fabric of business operations. It delves into the profound implications for productivity, creativity, and decision-making in organizations across diverse industries. Staying ahead of the technical curve is crucial, and this book equips readers with the knowledge and insights needed to thrive in this evolving business landscape.

Information Logistics for Organizational Empowerment and Effective Supply Chain Management delves into the profound impact of information technology on modern businesses and supply chains. As the world becomes increasingly reliant on the virtuous triangle of the Internet of Things (IoT), big data, and artificial intelligence (AI), industries face both challenges and opportunities. This book explores the multifaceted effects of information logistics on supply chain performance, considering various dimensions and key indicators. With a focus on empowering supply chains, the book uncovers procedures and tools that can enhance the intelligence, security, flexibility, agility, and efficiency of logistics systems. By understanding the interplay between traditional logistics and the information space, readers gain valuable insights into building seamless, intelligent supply chains for the contemporary world. Ideal for students, researchers, and graduates in industrial engineering, industrial management, economics, mathematics, and related fields, this book offers a comprehensive resource for understanding and implementing smart supply chain practices. Professionals working in diverse industries such as food, arbitration, agriculture, electronics, and more will find practical applications and solutions for improving logistics processes. Additionally, individuals with an interest in smart supply chains and the evolving landscape of information logistics will find this book a valuable reference.

Demystifying the Dark Side of AI in Business delves into the often-overlooked negative aspects of Artificial Intelligence (AI) and its implications for organizations. In an era where AI is rapidly transforming industries and work environments, it is crucial to understand the potential risks and challenges associated with its implementation. Drawing from a wide range of global perspectives, this book brings together articles from leading researchers, academicians, and professionals across disciplines to shed light on the dark side of AI. Through academic rigor and meticulous analysis, the book addresses key topics such as unethical AI implementation, safety risks, negative social impacts, unintended consequences, and legal concerns surrounding AI adoption. This book covers crucial topics such as governance, ethical concerns, safety risks, social impacts, and future perspectives. By illuminating the negative implications of AI, this book paves the way for responsible and informed AI adoption, ensuring a balance between the potential benefits and the inherent risks associated with this transformative technology. Targeting researchers, academicians, professionals, and students with a wide range of interests, this book offers a rich understanding of the theoretical and practical implications of AI. It serves as a valuable resource for management disciplines like human resource management, marketing, financial management, and operations management, enabling readers to grasp the nuances of ai in different organizational contexts.

Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.