Brief Introduction

As electronic business matures into the AI Age, the transition from passive Generative AI to autonomous Agentic AI is fundamentally reconfiguring organizational knowledge flows. This track explores how AI agents-capable of independent reasoning and goal-oriented action-act as catalysts for collaborative innovation within digital ecosystems. While traditional e-business focused on human-to-human transactions, the rise of agentic systems introduces a new paradigm: Human-AI and AI-AI collaborative innovation. Scope and Speciality: We seek 4-5 high-quality papers that investigate the mechanisms by which Agentic AI facilitates, mediates, or even hinders knowledge transfer and creative problem-solving. We are particularly interested in research that moves beyond simple efficiency gains to explore how AI agency alters strategic decision-making and business model innovation.

Topics

1. Dynamics of human-AI collaborative creativity in digital marketing and R&D.
2. Knowledge flow patterns in autonomous AI-agent supply chain networks.
3. The impact of Agentic AI on organizational learning and unlearning.
4. Managing the risks of knowledge homogenization and AI hallucination in e-business innovation.
5. Governance and ethical frameworks for autonomous agents in collaborative digital ecosystems.
6. Solving the alignment problem in organizational management to ensure autonomous agents reflect corporate goals and ethical standards.
7. The issues of trust and knowledge sharing between humans and agentic AI in the age of AI.
8. The role of human-AI interaction mechanisms (e.g., prompt depth, feedback loops) in determining the quality and novelty of innovation outcomes.