Important Dates
Submission Deadline: August 10, 2026
Notification of Acceptance: September 14, 2026
Final Version Due: October 10, 2026
Workshop Date: December 12, 2026
Conference Website: Conference Website
Submission Template: Submission Template
Call For Papers
We invite original research that advances the understanding, design, and evaluation of next-generation e-business systems and practices in which autonomous or semi-autonomous AI technologies are embedded within digital commerce ecosystems. In particular, we seek contributions that examine: (i) the organizational, strategic, and market implications of agentic AI; (ii) innovative digital platform designs, coordination structures, and governance mechanisms that align stakeholder incentives, enhance trust, and mitigate emerging risks; and/or (iii) rigorous theoretical, empirical, or design-oriented evidence on the impacts of AI-enabled e-business systems on consumers, workers, firms, markets, and regulators. Consistent with the longstanding tradition of the WeB conference, we especially encourage submissions that explore emerging and frontier phenomena shaping the future of e-business and the digital economy.
Research may include, but are not limited to, the AI-driven transformation of e-business ecosystems and digital markets. Relevant topics include the design, governance, and impact of AI-enabled e-business systems and agentic ecosystems; agentic commerce; and the use of AI agents in search, recommendation, negotiation, and purchasing processes. The workshop also welcomes research on the unintended consequences of Agentic AI, including manipulation, collusion, misinformation, and broader platform integrity challenges in the agentic era. At the individual level, submissions may examine AI-enabled consumer experiences, human–AI collaboration, and AI-assisted decision-making in business operations and digital platforms. Topics of interest include marketplace design and mechanisms supporting AI-to-AI and human-to-AI interactions, as well as ethical and trustworthy AI issues such as explainability, fairness, safety, accountability, transparency, and regulatory compliance. From the consumer perspective, relevant research may address data privacy, cybersecurity, fraud prevention, trust, and digital identity in AI-enabled environments. At the organizational level, research may explore the business value of Agentic AI, including its integration into supply chains, operational processes, resilience strategies, and enterprise risk management. Additional topics of interest include AI-enabled FinTech and financial services, consumer behavior in AI-mediated environments, the economic and competitive dynamics of personalization and dynamic pricing, and real-world deployments of AI-driven decision support and automation systems.
We welcome a broad range of research methodologies, including studies using public or proprietary data, field and laboratory experiments, causal inference approaches, design science, and survey-based measurement of AI interventions and outcomes. We encourage submissions that provide theoretical contributions, rigorous empirical evidence, methodological innovation, and actionable practical implications for understanding how e-business systems, digital platforms, and organizational practices evolve in an era of intelligent systems.
Research Topics of Interest
Research topics may include, but are not limited to:
Agentic AI Transformation for e-business
Agentic AI-enabled e-business applications
Agentic commerce: AI agents in search, recommendation, negotiation, and purchasing
Enhancing customer experience through agentic AI
The ethical and social implications of agentic AI for e-business
Data privacy, security, and identity in agentic ecosystems (consent, data-sharing, digital identity, fraud)
Unintended consequences of agentic AI: manipulation, collusion, misinformation, and platform integrity in the agentic era
Human–AI collaboration and delegation in digital work (customer service, sales, procurement, operations)
Digital product, platform and marketplace design for AI-to-AI and human-to-AI interactions
Trustworthy and responsible AI for e-business (explainability, fairness, safety, and alignment)
Governance and regulation of AI-enabled markets (auditability, accountability, compliance-by-design)
Economic and competitive dynamics under AI-driven personalization and dynamic pricing
AI-enabled supply chains and operations: resilience, sustainability, and risk management
FinTech and AI-enabled financial services in digital commerce (payments, credit, DeFi interfaces, fraud detection)
Measurement, causal inference, and experimentation for AI interventions on platforms
Design science and field deployments of AI-enabled e-business systems and decision support
Implementing AI for fraud detection and prevention
Mobile business and applications
Corporate social responsibility in e-business
Technology applications in revolutionizing financial reporting and analysis
Sustainable business through intelligent technologies