AI and Effectiveness of Digital Advertising Ecosystems
Concept Note
In the rapidly evolving digital landscape, Artificial Intelligence (AI) is revolutionizing how brands connect with consumers. From personalized advertising targeting and automated content creation to predictive analytics and sentiment analysis, AI has become integral to the digital advertising ecosystem. However, while its adoption accelerates, there remains a need to critically assess AI’s role not just as a technological tool but as a transformative force shaping creativity, ethics, data privacy, and consumer behavior. This book aims to fill the academic and practical gap by offering a comprehensive exploration of how AI is redefining advertising strategies, reshaping consumer-brand relationships, and challenging traditional marketing paradigms. The book will serve as a comprehensive guide, blending academic insights with real-world practices and case studies, addressing both the opportunities and challenges posed by AI-driven advertising. The volume will combine theoretical perspectives, case studies, and expert insights, making it relevant for scholars, practitioners, marketers, and policy-makers.
Sub-Themes (submissions will also be considered on the related theme of the book)
- AI in marketing
- AI in advertising
- Advertising ecosystem
- Artificial intelligence system
- Generative AI
- Creative Content
- Design thinking and AI-augmentation
- AI in Consumer Engagement
- AI and ethical concerns
- AI and legal and regulatory concerns
- AI-driven strategies
- Education, Employment, and the Future of AI
- AI-integrated advertising education
- Sustainability and AI
- AI in digital branding
- AI in Social Media Advertising
- AI in influencer identification and campaign management
- AI in User-generated content
- Emerging Trends and Future Directions in AI
- Advertising methods
- Public service advertisement
- Film advertisement
- Social, cultural, political, psychological, and economic impact on advertising
- Search engine advertisement
- Advertisement algorithms
- Advertisement management
- Interdisciplinary and allied perspectives (communication, psychology, data science, ethics
SUBMISSION
Link for chapter submission: https://forms.gle/P3eiwH8a4uSNit2b6
** No submission or acceptance fees are required to pay for manuscripts submitted to this book publication.
* All manuscripts are accepted based on peer-review editorial process.
Important Dates
Final Chapter Submission: September 30, 2025
Notification of Acceptance: October 15, 2025
Publication of Book: January 15, 2026
Target Audience:
• Academics and students from advertising, marketing, communication, media studies, social science, and allied disciplines
• Media professionals and digital marketers
• General readers interested in advertising, marketing, and media effects
• Policymakers and educators working on internet literacy initiatives
Details of the Book:
• Title of the Book: AI and Effectiveness of Digital Advertising Ecosystems
• ISBN: 978-93-343-7496-4
Submission Guidelines
Deadline:Submit by September 30, 2025.
Word Limit:3500-7000 words (incl. title, abstract, figures, tables, references).
Page Limit: Max 16 (A4 size). Font: Times New Roman.
Headings: Bold (12 pt). Subheadings: Bold Italic (11 pt).
Body Text:11 pt, 1.15 line spacing, average margins.
Abstract: Max 200 words Keywords:3-6, must start with uppercase, avoid broad terms.
Figures & Tables: Use original or getauthor’s consent if borrowed. Equations: Use Word’s Math function, MathType, or Equation Editor.
References:APA 7th edition.
**Manuscripts submitted for the book must be original and not previously published or currently under review anywhere.
**Manuscript can be accepted as research-based, article-based, review, or case study.
EDITORS
Manali Bhattacharya (PhD)
Associate Professor, Department of Mass Communication, Faculty of Arts and Social Studies, St. Xavier’s University, Kolkata
Sayak Pal (PhD)
Assistant Professor, Department of Mass Communication, Faculty of Arts and Social Studies, St. Xavier’s University, Kolkata