Special Session 2

AI-Driven Innovation and Intelligent Decision-Making in E-Commerce and Digital Business Ecosystems

The rapid advancement of artificial intelligence (AI) and data-driven technologies is transforming e-commerce and digital business ecosystems by enabling intelligent decision-making, personalized customer experiences, and operational excellence. From predictive analytics and recommendation systems to conversational AI, supply chain optimization, and automated business processes, AI is redefining how organizations create value and sustain competitive advantage in digital markets.

This Special Session aims to bring together researchers and practitioners exploring innovative AI applications that enhance e-business strategies, customer engagement, and organizational performance. The session welcomes theoretical, empirical, and interdisciplinary research addressing emerging AI technologies, data integration, and intelligent systems that support digital transformation across online retail and service platforms. By fostering discussions on AI-enabled innovation, this session seeks to advance sustainable, customer-centric, and data-driven business practices in the evolving digital economy.

Session Organizer:

Dr. Donn Enrique L. Moreno, Mapúa University, Philippines

The topics of interest include, but are not limited to:

• AI and Machine Learning Applications in E-Commerce and Digital Business
• Predictive Analytics for Consumer Behavior and Market Intelligence
• AI-Powered Personalization and Recommendation Systems
• Conversational AI, Chatbots, and Intelligent Customer Experience Management
• AI-Driven Supply Chain, Logistics, and Inventory Optimization
• Generative AI for Digital Marketing and Content Automation
• Intelligent Pricing, Dynamic Revenue Management, and Demand Forecasting
• AI-Based Fraud Detection, Cybersecurity, and Trust in Digital Commerce
• Data Analytics and Business Intelligence for E-Business Decision Support
• Omnichannel Retailing and AI-Enabled Customer Journey Optimization
• AI for Marketplace Platforms and Digital Ecosystem Management
• Ethical, Responsible, and Explainable AI in E-Commerce
• Digital Transformation Strategies for AI-Enabled Business Innovation
• Smart Retail Technologies and Intelligent Commerce Systems
• Emerging AI Applications in Social Commerce and Mobile Commerce

Submission Method:

Submit your Full Paper (no less than 4 pages with two colums) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Special Session 2 (AI-Driven Innovation and Intelligent Decision-Making in E-Commerce and Digital Business Ecosystems)
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Introduction of Session Organizer

Dr. Donn Enrique L. Moreno
Mapúa University, Philippines

Dr. Donn Enrique L. Moreno is the Dean of the Enrique T. Yuchengco School of Business at Mapúa University, Philippines. His research and professional interests focus on artificial intelligence in business, digital transformation, e-commerce, innovation management, entrepreneurship, business analytics, and technology-enhanced education. His scholarly work has been presented at and published in international conferences and journals, with research addressing AI-enabled business innovation, digital ecosystems, business strategy, and emerging technologies. Dr. Moreno earned his Doctor in Business Administration (DBA) from San Beda University, a Master of Business Administration (MBA) and Bachelor's Degree in Entrepreneurship from Pamantasan ng Lungsod ng Maynila, and a MicroMasters in Instructional Design and Technology from the University of Maryland Global Campus. He is also a Certified Innovation Management Professional (GIMI). He actively serves the international academic community as a Technical Committee Member, Session Chair, and reviewer for conferences organized by ACM, IEEE, and other international organizations. He has also delivered invited lectures and executive programs in Malaysia, Kazakhstan, and Mexico, promoting global collaboration in business education, digital innovation, and AI-driven transformation. His expertise bridges academia and industry, with ongoing contributions to business innovation, digital transformation, and enterprise development.