Expanding the Digital Frontiers of Business with AI, Gamification, and Metaverse Marketing

1. Auflage 2026
ISBN: 978-1-032-90752-9
Verlag: Taylor & Francis Ltd

Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Artificial Intelligence (AI): Elementary to Advanced Practices

Expanding the Digital Frontiers of Business with AI, Gamification, and Metaverse Marketing explores how organizations can leverage AI to understand customer behavior, optimize pricing strategies, and enhance decision-making processes. By integrating these technologies, businesses can improve their digital presence, engage customers more effectively, and stay ahead of technological advancements in today's dynamic digital landscape.

This edited book offers a glimpse into the future of business, providing innovative methods for market research, product development, and customer interaction. Experts in the field discuss how AI, Gamification, and Metaverse Marketing can spark creativity and drive business growth. In addition, contributions from experts in academia and industry offer diverse perspectives that enhance understanding and foster progressive discussions. By staying informed about the latest developments in digital commerce, readers can position themselves as leaders in the field. This book equips readers with the knowledge and tools needed to navigate the ever-changing landscape of digital business successfully.

Whether you're a seasoned business owner or an industry enthusiast, this book offers valuable insights and practical strategies. For students and research academics, the book offers in-depth analyses of AI, Gamification, and Metaverse Marketing, laying a solid foundation for scholarly exploration. Professionals and executives will find actionable methods and real-world examples to implement creative ideas and maintain competitiveness in a rapidly evolving environment.

Zielgruppe

Professional Reference, Undergraduate Advanced, and Undergraduate Core

Autoren/Hrsg.

Kumar, A. V. Senthil

Verma, Aastha

Dutta, Amit

Rahman, Hakikur

Fachgebiete

• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Mathematik | Informatik Mathematik Operations Research Spieltheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

Chapter 1. Convergence of AI, Gamification, and Metaverse Reshaping the Marketing landscape.

Chapter 2. Blockchain-Enabled AI Marketing: Enhancing Trust and Transparency in the Digital Era

Chapter 3. The power of Influence! A state-of-the-art overview of influencer marketing.

Chapter 4. Machine Learning-based Recommender Systems for Digital Marketing

Chapter 5. Approach for Accessing Patients Records Using Medical

Chapter 6. An AI-driven Multi-Management System for Medical Resource Allocation, Providing Personalized Healthcare Services

Chapter 7. Designing Gamification Components for Enhancing Learner Engagement in Micro-Credential Courses

Chapter 8. AI-Driven Influencer Marketing for Assessing the Dark Psychology of the Market

Chapter 9. Data Privacy, Regulatory Compliance, and Security Measures in AI-Driven Marketing Strategies

Chapter 10. Addressing Ethical Concerns and Responsible AI Practices in ChatGPT

Chapter 11 Intersection of Ethics in AI, Gamification, and Metaverse

Über Autor(innen)

Dr. Aastha Verma is an Assistant Professor in the Faculty of Management Studies at the University of Delhi in India. She has a PhD in marketing from FMS, University of Delhi, and an MBA from Bharati Vidyapeeth University, Pune, India. Dr. Verma has over ten years of experience in both industry and academia. She has worked with the management department at NSUT in New Delhi, as well as the management and commerce departments within colleges of the University of Delhi. She has also presented papers at national and international conferences, including events at IIT Delhi, MDI Gurgaon, IIM Kashipur, IIM Kozhikode, IIM Jammu, Delhi School of Economics, and the Department of Commerce at Delhi University. One of her research papers was presented at an international conference in Malaysia, which was fully funded by the Indian Council of Social Science Research (ICSSR), Government of India.

Prof. A.V. Senthil Kumar is a Professor and Director of PG and Research Department of Computer Applications, Hindusthan College of Arts & Science, Coimbatore, Tamilnadu. To his credit, he has industrial experience of five years and teaching experience of 27 years. He has also received his Doctor of Science (D.Sc in Computer Science). He has to his credit 38 book chapters, 220 papers published in international and national journals, and edited 11 books and 2 textbooks. He is an Associate Editor of IEEE Access the Editor-in-Chief for many journals and a key Member of India’s Machine Intelligence Research Lab (MIR Labs). He is an Editorial Board member and reviewer for various international journals as well as a committee member for various international conferences. Dr. Kumar is a life member of the International Association of Engineers (IAENG), the Systems Society of India (SSI), and several other societies.

Dr. Amit Dutta is the Deputy Director at the All India Council for Technical Education, New Delhi, India. He has more than 20 years of teaching, research, and administration experience and has published four books on C++, data mining techniques, neural networks, and over 20 research papers in international and national journals.

Dr. Hakikur Rahman has been an academic for over 30 years and has served leading education institutes in Bangladesh and abroad, and established various projects funded by ADB, EU, UNDP, and World Bank. He is currently serving as a Professor at the Asian University of Bangladesh and Director at the Ansted University Sustainability Research Institute. Before that, he served the BRAC University as an Associate Professor (Chair, CSE Dept.) and a Post Doctoral Researcher (Research Associate) at the University of Minho, Portugal under the Centro Algoritmi. He has written and edited over 25 books, and more than 50 book chapters as well as contributing to over 200 articles on computer education, ICTs, knowledge management, open innovation, data mining, and e-government research in newspapers, journals, and conference proceedings. After graduating from the Bangladesh University of Engineering and Technology in 1981, he completed his Master of Engineering at the American University of Beirut in 1986 and completed his PhD in Computer Engineering from the Ansted University, BVI, UK in 2001 and a PhD in ICT from the Empresarial University of Costa Rica in 2010.