Brief Introduction

The infusion of Artificial Intelligence into the strategic landscape of digital business is fundamentally redefining how organizations pioneer and orchestrate value. By synergizing with technologies such as the Internet of Things (IoT), extended reality (XR), and robotics, AI acts as a catalyst for novel service architectures and product paradigms across the e-commerce spectrum. At the heart of this movement are AI-driven innovation platforms that transcend traditional tools to support generative co-creation and intent-based processes, allowing firms to push the boundaries of what is possible.

This rapid transition facilitates increasingly open and fluid innovation processes, where work is virtualized and automated to scale creativity and efficiency. While such transformations can foster inclusive participation and offer new solutions for service delivery, they simultaneously introduce a multifaceted landscape of complexities. The rapid proliferation of GenAI-based models presents critical challenges, including algorithmic opacity, bias, labor precarity, and potential digital divides.

This track invites scholarly inquiries to explore the socio-technical configurations and strategic implications of AI-driven innovation platforms as they catalyze organizational transformation. We welcome conceptual and empirical studies at the individual, organizational, and societal levels, especially those that develop new theories and methods to understand the evolving digital landscape in the AI era.

Topics

1. AI-driven Innovation Platforms and Ecosystem Orchestration
2. AI-enabled Digital Transformation and Organizational Reconfiguration
3. AI-powered Business Model Innovation and Value Creation
4. Digital Product Development and Organizational Capability Building
5. Innovation in Human-AI Collaboration, Augmentation, and the Future of Work
6. Algorithmic Governance, Ethics, and Responsible AI in Platforms