Agentic and Generative AI in Service-oriented IS Research: A Positioning Framework

LAMAS: An organisation-centred architecture for agentic AI

From Objects to Agents and Beyond: Stabilizing Structures in Evolving Coordination Contexts

From Language Models to Agentic AI: A Survey of Autonomous, Action-Enabled, and Collaborative LLM Agents

A unified, taxonomy-driven, and deployment-oriented survey of agentic AI systems, synthesizing recent advances through a modular reference architecture and a four-dimensional taxonomy that characterizes agents along the axes of autonomy, tool use, collaboration, and safety–governance is presented.

RestoreBench: Can AI Agents Restore Power Flow Convergence?

A benchmark that evaluates diagnostic and resolving non-convergent power flow cases across multiple LLMs and three architectures, providing a reproducible foundation for developing agentic AI systems for power system planning and operation.

A Systematic Review of Autonomous Agentic AI Architectures and Orchestration Strategies for Edge-to-Cloud Internet of Things Deployments

The main conclusion is that practical Agentic IoT depends less on placing an entire agent at one tier than on partitioning perception, memory, reasoning, and action under explicit latency, privacy, reliability, and safety constraints.

Resource, actor, beneficiary, or agent? A service-dominant perspective on generative artificial intelligence

Generative artificial intelligence (GenAI) challenges core concepts in service science by blurring boundaries among resources, actors, and beneficiaries. Using service-dominant logic (SDL) as a theoretical lens, we review the distinctive properties of these concepts, introduce the agent concept into SDL, and analyze Ge...