Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical scholarly publication that provides comprehensive research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academicians, practitioners, researchers, and students.

This handbook presents emerging research exploring the theoretical and practical aspects of econometric techniques for the financial sector and their applications in economics. By doing so, it offers invaluable tools for predicting and weighing the risks of multiple investments by incorporating data analysis. Throughout the book the authors address a broad range of topics such as predictive analysis, monetary policy, economic growth, systemic risk and investment behavior. This book is a must-read for researchers, scholars and practitioners in the field of economics who are interested in a better understanding of current research on the application of econometric methods to financial sector data.

In the rapidly transforming landscape of fast-paced technology evolution, the fusion of artificial intelligence (AI) and humanoid robotics is set to redefine academia as we know it. From advancements in AI, humanoid robotics, nano and bio technologies, and smart medicine, the vision of an ultra-smart cyberspace is becoming a tangible reality. Yet, amid this transformative potential, scholars face a pressing challenge – how to navigate the complexities of these cutting-edge technologies to drive impactful research and innovation. Applied AI and Humanoid Robotics for the Ultra-Smart Cyberspace beckons scholars to harness the full potential of applied AI and humanoid robotics in academia. This book illuminates the most effective applications of these technologies across various disciplines such as industry, business, health, government, military, and critical cyber infrastructure. Through rigorously peer-reviewed chapters, the book addresses key issues, provides technical solutions, and guides future research directions, fostering a collaborative bridge between academia and industry.

Communication based on the internet of things (IoT) generates huge amounts of data from sensors over time, which opens a wide range of applications and areas for researchers. The application of analytics, machine learning, and deep learning techniques over such a large volume of data is a very challenging task. Therefore, it is essential to find patterns, retrieve novel insights, and predict future behavior using this large amount of sensory data. Artificial intelligence (AI) has an important role in facilitating analytics and learning in the IoT devices. Applying AI-Based IoT Systems to Simulation-Based Information Retrieval provides relevant frameworks and the latest empirical research findings in the area. It is ideal for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society and trust at the levels of the global economy, networks and organizations, teams and work groups, information systems, and individuals as actors in the networked environments. Covering topics such as blockchain visualization, computer-aided drug discovery, and health monitoring, this premier reference source is an excellent resource for business leaders and executives, IT managers, security professionals, data scientists, students and faculty of higher education, librarians, hospital administrators, researchers, and academicians.

This book investigates the growing influence of artificial intelligence in the marketing sphere, providing insights into how AI can be harnessed for developing more effective and efficient marketing strategies. In addition, the book will also offer a comprehensive overview of the various digital marketing tools available to entrepreneurs, discussing their features, benefits, and potential drawbacks. This will help entrepreneurs make well-informed decisions when selecting the tools most suited to their needs and objectives. It is designed to help entrepreneurs develop and implement successful strategies, leveraging the latest tools and technologies to achieve their business goals. As the digital landscape continues to evolve rapidly, this book aims to serve as a valuable resource for entrepreneurs looking to stay ahead of the curve and capitalize on new opportunities. The book's scope encompasses a wide range of topics, including customer experience, content marketing, AI strategy, and digital marketing tools.

Interactive marketing, as one of the fastest growing academic fields in contemporary business world, is the multi-directional value creation and mutual-influence marketing process through active customer connection, engagement, participation and interaction. Contemporary interactive marketing has moved beyond the scope of direct marketing or digital marketing, as the market is becoming a forum for conversations and interactions among connected actors or participants in platform ecosystems. The advancement of mobile technology with interactive content and personalized experience makes interactive marketing the new normal in the business world. This handbook contains the most comprehensive and cutting-edge knowledge in the interactive marketing field. The 41 chapters that are divided into eight sections cover all aspects of contemporary interactive marketing realm, including social media and influencer marketing, big data and machine learning in predictive analytics, mobile marketing and proximity marketing, interactive digital marketing and Omnichannel marketing, AI, VR and AR in business applications. With a focal point on interactive marketing, this handbook takes a multidiscipline perspective, from new technology innovations, social media and platform application, economic and cultural impacts, social and psychological analysis, and management and information system. This book provides a timely and comprehensive textbook companion and/or course project resource for college educators and students used for variety of graduate and undergraduate marketing courses, such as Digital Marketing, Internet Marketing, Social Media Marketing, New Media Communication, Marketing Analytics and Marketing Management, etc. It offers valuable references for academic researchers who are interesting conducting and publishing in interactive marketing research. The state-of-art review and emerging new trends presented in the book are particularly useful for research idea generation and conceptual development. The book also putts forward insightful guidelines and practical tools for business management in the application of new interactive marketing strategies and applications in the real world practices. Chapter 41 “Ethical Considerations in Gamified Interactive Marketing Praxis” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Unmanned aerial vehicles (UAVs) and artificial intelligence (AI) are gaining the attention of academic and industrial researchers due to the freedoms that UAVs afford when operating and monitoring activities remotely. Applying machine learning and deep learning techniques can result in fast and reliable outputs and have helped in real-time monitoring, data collection and processing, and prediction. UAVs utilizing these techniques can become instrumental tools for computer/wireless networks, smart cities, military applications, agricultural sectors, and mining. Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques is an essential reference source that covers pattern recognition, machine and deep learning-based methods, and other AI techniques and the impact they have when applied to different real-time applications of UAVs. It synthesizes the scope and importance of machine learning and deep learning models in enhancing UAV capabilities, solutions to problems, and numerous application areas. Covering topics such as vehicular surveillance systems, yield prediction, and human activity recognition, this premier reference source is a comprehensive resource for computer scientists; AI engineers; data scientists; agriculturalists; government officials; military leaders; business managers and leaders; students and faculty of higher education; academic libraries; academicians; and researchers in computer science, computer vision, pattern recognition, imaging, and engineering.

While artificial intelligence (AI) simulates human intelligence in machines, machine learning (ML) enables systems to learn from data without explicit programming. In marketing and supply chain management, AI and ML empower businesses to analyze consumer behavior, personalize experiences, optimize advertising strategies, forecast consumer demands, manage inventory, plan routes, and mitigate risks. Businesses can enhance efficiency, accuracy, decision-making, customer engagement, and cost-effectiveness when integrating AI and ML in marketing and supply chain operations. Further research is necessary to drive success in the dynamic marketplace. AI and Machine Learning Applications in Supply Chains and Marketing bridges the gap between theoretical knowledge and practical application of AI and ML in marketing and supply chain management. It examines emerging technologies that can revolutionize industries by transforming business operations. This book covers topics such as data analysis, sustainable development, and blockchain, and is a useful resource for business owners, economists, marketing professionals, engineers, computer scientists, academicians, and researchers.

In the throes of a global skills gap and relentless labor market disruptions, organizations grapple with the pressing challenge of aligning workforce skills with the demands of a hypercompetitive economy. Reports from influential entities like the World Economic Forum and McKinsey & Company underscore the urgency for strategic interventions to bridge this divide. Despite the pivotal role of higher education and corporate training, recent findings from the Society for Human Resource Management (SHRM) reveal a persistent struggle in finding candidates equipped with the requisite skills for a multitude of available jobs. The deficiencies span from foundational communication skills to complex problem-solving abilities, posing a formidable hurdle for organizations seeking qualified talent. Prioritizing Skills Development for Student Employability emerges as a solution to the skills misalignment conundrum by delving into the heart of the issue, dissecting the intricacies of global workforce dynamics, education-industry collaborations, and the evolving landscape of corporate training. By exploring topics such as learning analytics, educational artificial intelligence (AI), and effective leadership in the context of present-day human resource management, the book provides a comprehensive roadmap for both academic scholars and professionals to navigate the complex terrain of skills development.

In recent times, the advent of new technologies, the concerns about sustainability, and the new tastes of the youngest generations of luxury consumers have affected the traditional dynamics of the luxury goods markets. These emerging issues have caused significant changes in the marketing of luxury goods. Sustainable development is not a new practice in the luxury market but is of increasing importance. The real challenge is for luxury companies to overcome the residual corporate social responsibility perspective to embrace a real integration of environmental, ethical, and social concerns into the corporate strategy. Integrated output and sustainable processes, the introduction of non-financial reporting as operational practice, and a new orientation to circular economy practices are emerging issues that still today request for a deeper exploration both on the academic and managerial point of view. Digitalization is another relevant issue that is reshaping the business model of luxury companies. Big data, blockchain, omnichannel experience, and digital customer experience represent the main digital challenges that luxury brand companies are facing nowadays. Luxury brands must keep up with these digital demands and sustainability concerns to maintain their position in the global market. Developing Successful Global Strategies for Marketing Luxury Brands upgrades the most relevant theoretical frameworks and empirical research about the marketing of luxury goods. This book is focused on contemporary issues affecting luxury industries such as digital transformation (blockchain, big data, analytics, innovation processes), sustainable development, changes in luxury consumers’ behavior, integration between physical and online channels, and the development of social media marketing strategies. Chapters will cover areas of marketing, management, buyer behavior, and international business, creating a multidisciplinary approach for this book. This book is ideal for scholars, local government agencies and public bodies, managers, luxury business owners, along with practitioners, stakeholders, researchers, academicians, and students who are interested in emerging issues affecting the luxury market, such as sustainability and digital transformation.