AI Intervention in Digital and Social Marketing
Springer International Publishing (Verlag)
978-3-032-16040-9 (ISBN)
- Noch nicht erschienen - erscheint am 21.03.2026
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This book presents cutting-edge research and real-world applications, structured around Digital Marketing Analytics, Social Media Analytics, and Consumer Behavior Analytics. AI intervention in Digital and Social Marketing captures the transformation reshaping marketing, customer engagement, and decision-making. Topics include machine learning in customer personalization, AI-driven content optimization, and chatbot-enabled customer support. Blending rigorous methods with actionable insights, it offers value to researchers, marketers, students, and policymakers. As industries embrace data-driven innovation, this book serves as both a reference and a roadmap for navigating the digital economy through strategic and intelligent marketing analytics.
Prof. (Dr.) Janusz Kacprzyk is a distinguished Polish engineer and mathematician, renowned for his contributions to computational and artificial intelligence, particularly in fuzzy logic, decision making under uncertainty, and data analysis. He serves as a professor at the Systems Research Institute of the Polish Academy of Sciences in Warsaw. Throughout his career, Professor Kacprzyk has authored over 680 publications, including approximately 150 papers in journals with impact factors, and has edited or co-edited around 175 volumes. His work has garnered significant recognition, with over 36,000 citations and an h-index of 81 on Google Scholar. He is a fellow of several professional societies, including IEEE, IET, IFSA, EurAI, IFIP, AAIA, and SMIA, and has received numerous awards, such as the IEEE Pioneer Award in Fuzzy Systems and the IFSA Award. Professor Kacprzyk's extensive contributions have significantly advanced the fields of computational intelligence and fuzzy systems.
Prof. (Dr.) Srikanta Patnaik is the Chairman of IIMT, Bhubaneswar. He has received his Ph. D. (Engineering) on Computational Intelligence from Jadavpur University, India in 1999 and supervised 34 Ph. D. theses and more than 60 M. Tech theses in the area of Machine Intelligence, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published more than 100 research papers in international journals and conference proceedings. He is author of 2 text books and edited 82 books and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc. He is the Editors-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and also Editors-in-chief of Book Series on Modeling and Optimization in Science and Technology published from Springer, Germany.
Prof. Anil Kumar is a Professor of Operations, Supply Chain, and Business Analytics at the Guildhall School of Business, London Metropolitan University (LMU), UK. With over fifteen years of experience in teaching and research, he brings a wealth of expertise to his role. Prior to joining LMU, Prof. Kumar served as a Post-Doctoral Research Fellow in Decision Sciences at the Centre for Supply Chain Improvement, University of Derby, UK. He holds a Ph.D. in Management Science from the ABV-Indian Institute of Information Technology and Management, Gwalior, India, as well as bachelor s and master s degrees in mathematics from Kurukshetra University, India. Additionally, he completed an MBA and qualified for the National Eligibility Test (NET). Prof. Kumar's outstanding contributions to research have earned him international recognition, including being ranked in the Top 1% of researchers worldwide by Web of Science in 2024, and in the Top 2% by Stanford University-Elsevier in 2025, 2024, 2023, and 2022.
| Erscheint lt. Verlag | 21.3.2026 |
|---|---|
| Reihe/Serie | Studies in Big Data |
| Zusatzinfo | Approx. 500 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Technik | |
| Schlagworte | AI-Driven Personalization • AI in marketing • Consumer trust in AI • data engineering • data privacy compliance • ethical AI • Responsible Marketing • Social Marketing • sustainable marketing |
| ISBN-10 | 3-032-16040-5 / 3032160405 |
| ISBN-13 | 978-3-032-16040-9 / 9783032160409 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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