Call for Chapters: Autonomous Decision Systems, Consumer Behavior, and the Future of Branding in the Age of Intelligence

Editors

Markus Rach, Canadian University Dubai, Switzerland
Hiran Roy, Canadian University Dubai, Canada

Call for Chapters

Proposals Submission Deadline: February 28, 2026
 Full Chapters Due: May 23, 2026
 Submission Date: May 23, 2026

Introduction

In today’s marketplace, artificial intelligence (AI) systems, including recommendation engines, voice assistants, and smart home devices, are transforming the consumer’s journey of discovery, evaluation, and brand selection. As machines assume pivotal roles as intermediaries between companies and customers, branding finds itself navigating uncharted territories. The proposed edited volume, “Autonomous Decision Systems, Consumer Behavior, and the Future of Branding in the Age of Intelligence,” delves into the intersection of autonomous decision systems and consumer behavior, exploring the implications of algorithms increasingly influencing human choices. Drawing upon evidence-based principles, this title revisits foundational concepts such as mental availability and distinctive brand assets through the lens of AI. Additionally, it examines how AI agents may streamline the customer journey by prioritizing data-driven criteria over conventional emotional appeals. Case studies from regions spanning the Middle East, Europe, Asia, and North America will elucidate the global significance of these trends and underscore the adaptive strategies employed by brands in response to emerging technologies. Scholars are warmly invited to contribute chapters that investigate this evolving landscape, providing theoretical insights and empirical research on the future of brand power in an AI-mediated world.

Objective

This book aims to: 1. Blend marketing science with AI research. It extends the foundational findings of the likes of the Ehrenberg Bass Institute, such as the importance of mental availability and broadening the user base rather than merely deepening loyalty, into an AI mediated future. The volume will show how these enduring laws of brand growth apply when algorithms curate consumer choices. 2. Provide a strategic framework for brands in an AI driven marketplace. By analyzing the role of AI agents as new brand gatekeepers and the influence of autonomous decision systems on the customer journey, the book will provide evidence-based guidance on maintaining brand salience, managing distinctive brand assets, and reaching consumers in a world dominated by AI. 2. Fill a critical gap in the literature. Although numerous works address the intersection of artificial intelligence (AI) and marketing, few effectively integrate rigorous brand growth science with insights into AI-mediated consumer behavior. This book offers a scholarly yet practitioner-friendly synthesis, demonstrating that AI is not the end of brands but a transformative force that rewards those who harmonize timeless brand building with technological innovation. 3. Stimulate new research agendas. Chapters will not only synthesize existing knowledge but also identify emerging questions, such as how to train AI models with brand objectives, how algorithms influence trust and loyalty, and how data-driven personalization affects consumer psychology. By engaging with these questions, the volume seeks to advance academic debate and inspire further investigation into branding in an intelligent age.

Target Audience

The primary audience for this book includes: 1. Academics and students in marketing and business. Marketing professors, researchers and graduate students (MBA, MSc, PhD) will find the book’s evidence based approach and theoretical frameworks valuable for courses in Brand Management, Consumer Behaviour, Digital Marketing and Marketing Strategy. Doctoral students and scholars can draw on the extensive references to scholarly science and current research to generate new research ideas. 2. Marketing practitioners. CMOs, brand managers and strategists seeking to future proof their brands will benefit from the accessible style and strategic insights. The volume will serve as a playbook for applying AI technologies without abandoning proven marketing science principles. 3. Executive education participants and consultants. Leadership programs, executive workshops and consultants can use the book’s forward looking perspective to enrich curricula and client advice. By addressing both scholarly and practical audiences, Branding in the Age of Intelligence invites contributions that bridge theory and practice, offering insights that can shape the next generation of branding research and inform the decisions of marketing professionals worldwide.

Recommended Topics

Branding in an AI-Driven World  Foundations of Brand Equity in the Presence of Autonomous Agents  Machine-Mediated Choice: Rethinking the Customer Decision Journey  Trust and Transparency: The Role of AI in Initial Brand Impressions  Algorithmic Gatekeepers: How AI Intermediaries Influence Brand Discovery  Evolution of Brand Management Theories under Generative AI Enduring Laws of Brand Growth: The Ehrenberg-Bass Foundation  Revisiting Mental and Physical Availability in AI-Curated Markets  Penetration-Driven Growth: Evidence from Algorithmic Retail Platforms  Distinctiveness Measurement in Data-Driven Brand Environments  Light Buyers and Loyalty Myths: Ehrenberg-Bass Principles under AI-Targeting  Empirical Analysis of Brand Asset Recognition by Machine Recommenders  Quantifying Brand Salience when Search and Recommendation Algorithms Dominate AI-Mediated Consumer Behavior: How Algorithms Change the Journey  Voice Assistants and Brand Selection: Cognitive and Behavioral Effects  Trust in Recommender Systems: Psychological Predictors of AI-Driven Purchase  Disruption of the Marketing Funnel by Autonomous Shopping Agents  Filter Bubbles and Choice Architectures: AI’s Impact on Consumer Consideration Sets  Habit Loops vs. Serendipity: Machine Learning Algorithms in Consumer Decision-Making  Emotional Response to Algorithmic Shopping: A Neuroscientific Approach Mental Availability in the Age of AI Assistants  Dual-Channel Salience: Human-Mind and AI-Agent Brand Recall  Optimizing Brand Metadata for Voice and Visual Search Algorithms  Brand Cue Effectiveness in Smart Home and IoT Purchase Scenarios  Measuring Top-of-Mind Awareness with Voice and Chatbot Interfaces  AI-Friendly Branding: Structuring Brand Assets for Machine Recognition  Brand Priming through Conversational Agents: A Field Experiment Distinctiveness and Brand Assets in a Digital, Automated World  AI-Generated Content and the Integrity of Visual Brand Identity  Deepfake Risks: Protecting Brand Assets in the Era of Synthetic Media  Cross-Platform Brand Consistency: Maintaining Identity Across AI Touchpoints  Measuring Brand Asset Salience in Programmatic Ad Environments  Distinctiveness Audits: Ensuring AI Agents Recognize Core Brand Cues  Voice and Sound Logos: Research on Audio Brand Assets for Virtual Assistants Light Buyers, Big Data: Reaching a Broad Audience with AI  Machine Learning for Identifying Latent Light-Buyer Segments  Lookalike Modeling: Expanding Penetration with Algorithmic Targeting  Balancing Personalization and Reach: AI Strategies Beyond Heavy Buyers  Predictive Analytics and Non-Customer Conversion  Case Study: Big Data Campaigns to Win Sporadic Consumers  Data-Driven Recruitment of New Buyers Personalized Experiences and the New Loyalty  AI-Enhanced Loyalty Programs: Predictive Offers and Individualized Rewards  Micro-Loyalty: Consumer Retention in an Algorithmic Ecosystem  Emotional vs. Algorithmic Bonds: Personalization’s Limits for Brand Loyalty  Filter Bubbles and Loyalty: Risk of Over-Personalized Engagement  Switching Behaviors: When AI Agents Substitute Brands for Users  Ethnographic Study of Consumer Trust in AI-Mediated Customer Experiences AI-Driven Brand Communications: Content, Conversations, and Creativity  Generative AI in Advertising: Maintaining Brand Voice and Quality  Chatbots as Brand Ambassadors: Natural Language and Customer Relations  Algorithmic Storytelling: Personalizing Brand Narratives at Scale  Brand Tone Guidelines for Large Language Models  Automated Localization: Preserving Brand Consistency Across Languages  Co-Creation with AI: Opportunities and Ethics in Customer-Generated Content Technology Brand API  Augmented Reality and Brand Experience: Redefining Physical-Digital Interfaces  Wearable Tech and Brand Visibility: Research on Smart Glasses and Beyond  Platform Economies and Branding: From Ads to Integration Models  Brand APIs: Partnering with Technology Ecosystems for Consumer Engagement  Digital Twins of Brands: AI-Powered Virtual Experiences  Assessing Consumer Trust in AI-Driven Product Recommendations Trust, Ethics, and Brand Reputation in the AI Era  Algorithmic Bias and Brand Equity: Measurement and Mitigation  Transparency in AI Marketing: Effects on Brand Trust  Privacy-First Personalization: Ethical Data Use in Branding  Deepfake Crises: Brand Response Strategies to AI-Generated Misinformation  Global Regulations (GDPR, AI Act) and Their Impact on Brand Strategy  Cultural Perspectives on AI Ethics: Brand Safety Across Markets Global Case Studies: Branding with AI Across Markets  Comparative Analysis of AI-Driven Retail Branding in Asia vs. the West  AI Personalization During Cultural Events: Middle East Ramadan Case  Regulatory Compliance in AI Marketing: Europe vs. U.S. Case Studies  Localization of Voice AI: Brand Communication in Multilingual Markets  Emerging Market Dynamics: Brand Building on WeChat, TikTok, and Beyond  Startup Strategies: Rapid Brand Awareness with AI-Enabled Social Media Strategy Playbook: Building Brand Power with AI  Brand AI-Readiness Audits: Frameworks and Best Practices  Integrating Ehrenberg-Bass Metrics into Machine Learning Models  Training Marketers for the AI Era: Educational Approaches and Skill Assessment  Key Performance Indicators for AI-Driven Brand Campaigns  Checklists for Ethical Brand-AI Collaborations  Collaborative Processes: Marketer-Data Scientist Alignment in Brand Strategy Additional Suggested Topics:  Consumer Trust in Open vs. Closed AI Ecosystems  Neuroscience of Brand Perception in AI-Personalized Shopping  Generative Co-Creation: Hybrid Human-AI Creative Teams in Advertising  Transparency Metrics: Quantifying Brand Honesty in Automated Marketing  AI Bias in Influencer Selection and Brand Image  Cross-Generational Adoption: AI-Assisted Shopping Behaviors among Gen Z and Boomers  Blockchain and AI in Loyalty Programs: Ensuring Data Integrity  Emotion AI: Analyzing Affective Responses to Brand Interactions  Forecasting Brand-Consumer Relationships: Scenarios for 2030  The Enduring Role of Brand Values Amidst Machine Decision-Making  Research Agenda: Longitudinal Studies of AI’s Impact on Brand Equity  AI and Brand Differentiation: A Call for New Theoretical Frameworks  Adaptive Brand Strategies: Learning from Early AI Adopters  Survival of the Distinct: Empirical Tests of Brand Longevity with AI  Forecasting Brand-Consumer Relationships: Scenarios for 2030  The Enduring Role of Brand Values Amidst Machine Decision-Making  Research Agenda: Longitudinal Studies of AI’s Impact on Brand Equity  AI and Brand Differentiation: A Call for New Theoretical Frameworks  Adaptive Brand Strategies: Learning from Early AI Adopters  Survival of the Distinct: Empirical Tests of Brand Longevity with AI

Submission Procedure

Researchers and practitioners are invited to submit on or before February 28, 2026, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by March 14, 2026 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by May 23, 2026, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Autonomous Decision Systems, Consumer Behavior, and the Future of Branding in the Age of Intelligence. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.

Publisher

This book is scheduled to be published by IGI Global Scientific Publishing, an international academic publisher of the "Information Science Reference", "Medical Information Science Reference", "Business Science Reference", and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2027.

Indexing Information for Prospective Authors

IGI Global Scientific Publishing meets the criteria for inclusion in major indexing services such as Scopus; however, it is important to note that all indexing decisions are made independently by these services. IGI Global Scientific Publishing books are selectively indexed by the indexing organization after publication. Indexing cannot be guaranteed for any book prior to publication, and the indexing organization has complete control over the final selection and timeline.

Important Dates

February 28, 2026: Proposal Submission Deadline
March 14, 2026: Notification of Acceptance
May 23, 2026: Full Chapter Submission
July 4, 2026: Review Results Returned
August 1, 2026: Final Acceptance Notification
August 8, 2026: Final Chapter Submission

Inquiries

Markus Rach
Canadian University Dubai
brandingbookigi@gmail.com

Hiran Roy
Canadian University Dubai
brandingbookigi@gmail.com
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