Agentic Organizations: Designing, Governing, and Managing AI Agents

Mon, 05 Oct 2026 09:04:45 GMT

Martin Adam, University of Goettingen

Aaron Baird, Colorado State University

Mari-Klara Stein, Tallinn University of Technology

Alexander Benlian, Technical University of Darmstadt

AI is transitioning from a tool for individual productivity assistance to a participant in organizational action through agentic systems that can interpret goals, perceive states, plan actions, and execute tasks with autonomy. This shift reconfigures organizational arrangements, requiring new thinking about delegation, accountability, control, and oversight.

Agentic organizations embed AI agents within routines, systems, and workflows, creating sociotechnical arrangements impacting core operational systems. Information systems scholars are well-positioned to address this transition given existing expertise in organizational change, algorithmic management, platform governance, and human-AI collaboration.

This special issue seeks research on how organizations can design, govern, and manage human-AI ensembles while preserving accountability, resilience, and human judgment. Papers should examine delegated agentic participation in organizational action, including governance mechanisms, workflow redesign, multi-agent systems, epistemic challenges, workforce implications, and safety considerations.

Appel publié par Journal of Management Information Systems. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

Delegated autonomy and control in agentic organizations
Accountability and oversight mechanisms for AI agents
Agentic process redesign and workflow transformation
Organizational capability building for agentic systems
Multi-agent orchestration and coordination
Agent interoperability and digital ecosystems
Epistemic governance and trust in AI agents
Opacity and contestability of AI-generated actions
Cognitive and behavioral implications of agentic AI
Workforce implications and professional identity
Skill formation and reliance on AI agents
Resilience and safety in agentic systems
Security and compliance in agentic workflows
Societal consequences and ethical implications of agentic AI
Human-AI ensembles and human authority preservation

Timeline

Invalid DateTime: Final decision and publication
December 15, 2026: Optional extended abstract submission deadline
February 1, 2027: Full paper submission deadline
May 1, 2027: First round of reviews completed
September 1, 2027: Paper revisions due
November 1, 2027: Second round of reviews completed
February 1, 2028: Second paper revisions due

Associate editors

Armin Alizadeh, Technical University of Darmstadt
Abhijith Annand, University of Arkansas
Langtao Chen, University of Tulsa
Christy M. K. Cheung, Hong Kong Baptist University
W. Alec Cram, University of Waterloo
Carolina Alves de Lima Salge, University of Georgia
Thomas Hess, Ludwig Maximilian University of Munich
Ekaterina Jussupow, Technical University of Darmstadt
Harris Kyriakou, ESSEC
Aron Lindberg, Stevens Institute of Tech
Anne-Sophie Mayer, Ludwig Maximilian University of Munich
Abhay Mishra, University of Arkansas
Long The Nguyen, Washington State University
William Olivera, Florida State University
Gabriele Piccoli, Louisiana State University
Magno Queiroz, Florida Atlantic University
Marta Stelmaszak, University of Massachusetts Amherst
Timo Sturm, Technical University of Darmstadt
Scott Thiebes, Tongji University
Thomas Ware, University of Pittsburgh
Martin Wiener, Technical University of Dresden
David Xu, City University of Hong Kong

Decisions in the Agentic Era: Toward Agent-Native Decision Science

Sat, 29 Aug 2026 11:29:31 GMT

Yingjie Zhang, Peking University

Shunyuan Zhang, Harvard University

Tianshu Sun, Cheung Kong Graduate School of Business

Liangfei Qiu, University of Florida

Nagesh Murthy, University of Oregon

This special issue addresses how autonomous AI systems are fundamentally changing decision-making across organizations, markets, and society. It recognizes that AI has shifted from systems that respond to instructions to agents that initiate workflows, use tools, and operate with meaningful autonomy. The issue aims to advance rigorous understanding of how agentic AI reshapes decisions while developing research practices accessible to AI agents themselves.

Two tracks serve different purposes. Track A (preferred) focuses on original decision science research on agentic AI behavior and human-agent collaboration, requiring submissions to include agent-native research artifacts that allow future agents to reconstruct and extend studies. Track B addresses broader consequences of agentic AI for organizations, markets, labor, and society without such artifact requirements. Both tracks welcome rigorous empirical and analytical research grounded in decision science.

Appel publié par Decision Sciences. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

Agent reasoning, planning, and decision strategies in task environments
Multi-agent coordination, competition, and emergent collective behavior
Agent capabilities, limitations, and failure modes in decision-relevant contexts
Agent identity, role-taking, and consistency under manipulation
Trust, deception, and norm violation in agent systems
Agent learning and behavioral change over repeated interactions
Human reliance, override, and complementarity in agentic decision systems
Oversight, accountability, and governance design in human-agent systems
Human capacity in human-agent systems and AI Quotient (AQ)
Interface and system design conditions that shape human-agent collaboration outcomes
Societal consequences of agentic AI, including inequality, power, and human autonomy
Organizational transformation involving strategy, structure, and governance
Labor market change and workforce displacement
Market and competitive dynamics when agents act for firms or consumers
Accountability, transparency, and fairness in agentic decision pipelines
Regulation and governance of autonomous AI systems

Timeline

August 1, 2026: CFP Launch & Editorial Piece Published
August 1, 2026: Submissions open (both tracks)
January 15, 2027: Fast Track Submission Deadline (Track A only)
March 15, 2027: Submission Deadline (Track B)

Associate editors

Dominik Gutt, RWTH Aachen University
Miguel Godinho de Matos, Católica-Lisbon
Yicheng Song, University of Minnesota
Yifan Yu, Hong Kong University
Hyeokkoo Eric Kwon, Nanyang Technological University
Yang Gao, University of Illinois at Urbana-Champaign
Zhe Yuan, Zhejiang University
Brian Han, University of Illinois at Urbana-Champaign
Yan Leng, University of Texas at Austin
Wen Wang, University of Maryland
Liu Ming, The Chinese University of Hong Kong, Shenzhen
Zhenyu Zheng, Zhejiang University
Xilin Li, Cheung Kong Graduate School of Business

kerostig | Tag : autonomous systems

Agentic Organizations: Designing, Governing, and Managing AI Agents

Potential topics

Timeline

Associate editors

Decisions in the Agentic Era: Toward Agent-Native Decision Science

Potential topics

Timeline

Associate editors