Agentic Artificial Intelligence Across Organizational Functions and Practices

CALL FOR PAPERS

Agentic Artificial Intelligence Across Organizational Functions and Practices

Journal: Journal of Enterprise Information Management

Publisher: Emerald Publishing

Submission Opens: 1 March 2026

Submission Deadline: 30 September 2026

Introduction

Across contemporary organizations, advances in artificial intelligence are transforming AI from a discrete technological resource into a systemic organizational capability that actively shapes decision-making, business model innovation, and competitive advantage. Traditionally, AI interfaces have largely been reactive — responding to human prompts and predefined inputs.

The emergence of Agentic Artificial Intelligence represents a fundamental shift. Agentic systems are designed to operate with increasing autonomy, enabling goal-driven planning, workflow orchestration, coordination across systems, and machine-initiated action with limited human intervention.

For organizations, this growing autonomy presents both significant opportunities and substantial risks. Agentic AI promises new forms of value creation by enhancing efficiency, scalability, personalization, and decision quality across organizational functions such as human resource management, marketing, customer engagement, knowledge management, and operations. At the same time, the delegation of agency to autonomous systems heightens concerns related to governance, transparency, accountability, and oversight — particularly when organizations have limited visibility into how agentic systems reason, learn, and act.

Scope & Significance

Agentic AI is no longer a speculative phenomenon. Organizations have already begun embedding agentic systems into core practices — including recruitment, onboarding, performance management, customer service, marketing operations, and knowledge-intensive work. Early implementations in knowledge management demonstrate how agentic systems can unify fragmented knowledge bases, dynamically adapt insights, and support continuous organizational learning.

From an academic standpoint, these developments challenge existing organizational and information management theories. While socio-technical systems theory, agency theory, and organizational learning have traditionally conceptualized AI as a support tool within human-centric systems, they offer limited explanatory power for autonomous, multi-agent systems capable of independent coordination and action.

This Special Issue invites interdisciplinary contributions that advance theoretical and empirical understanding of Agentic AI across organizational functions and practices — examining how such systems are designed, governed, enacted, and experienced in complex organizational contexts.

List of Topic Areas

Governance, Accountability & Value Implications

1. How Agentic AI enables new forms of value creation, capture, and measurement in organizations — and under what conditions it may lead to value co-destruction or unintended negative outcomes

2. How organizations design governance, accountability, trust, and regulatory compliance mechanisms for Agentic AI systems operating with increasing autonomy

3. How ethical considerations, responsibility, and moral agency evolve when AI systems act as semi-autonomous organizational actors rather than decision-support tools

Organizational Transformation & Cross-Functional Practices

4. How Agentic AI reshapes business process redesign, orchestration, and automation across functions such as marketing, HRM, operations, finance, and customer engagement

5. How AI is becoming normalized within organizational and marketing practice — shifting from experimental adoption to routinized, AI-embedded decision-making

6. How Agentic AI influences workforce transformation, the future of work, and HRM practices including recruitment, performance evaluation, and employee autonomy

7. How the adoption of Agentic AI differs across organizational contexts — SMEs versus large corporations — and what factors shape successful implementation

Human–AI Interaction & Socio-Technical Dynamics

8. How emotional, relational, and interactional dynamics shape human–AI engagement in Agentic AI-driven sales, marketing, and customer experience contexts

9. How human–AI collaboration and human-in-the-loop design can be sustained when AI systems increasingly initiate actions and learn autonomously

10. How multi-agent systems, coordination mechanisms, and organizational architectures evolve as multiple human and artificial agents interact within complex socio-technical environments

Theoretical & Knowledge Management Implications

11. How existing theories of agency, organizational learning, and socio-technical systems can be extended to explain machine agency in Agentic AI-enabled organizations

12. How Agentic AI transforms knowledge management and organizational learning by enabling systems that not only retrieve and integrate knowledge but also reason, adapt, and act upon it

Guest Editors

Dr. Asha Thomas 📧 (contact via journal submission platform)

Dr. Moreno Frau 📧 (contact via journal submission platform)

Dr. Dominyka Venciute 📧 (contact via journal submission platform)

Key Deadlines

📅 Manuscript Submission Opens: 1 March 2026 ⏰ Manuscript Submission Deadline: 30 September 2026

Submission Guidelines

Submissions are made through ScholarOne Manuscripts, the official submission platform of Emerald Publishing. Authors must strictly follow the journal's author guidelines.

When submitting, select "Agentic Artificial Intelligence Across Organizational Functions and Practices" from the special issue drop-down menu at the appropriate step in the submission process.

⚠️ Submitted articles must not have been previously published, nor should they be under consideration for publication elsewhere while under review for this journal.

For author guidelines and to submit your manuscript, visit the official Journal of Enterprise Information Management page on the Emerald Publishing website and access via ScholarOne Manuscripts.

About the Journal

The Journal of Enterprise Information Management (JEIM), published by Emerald Publishing, is a leading peer-reviewed journal focused on the strategic and operational role of information management and information systems within organizations. It provides an international platform for scholars and practitioners exploring digital transformation, enterprise systems, knowledge management, and AI-driven organizational change.

ServiceSetu Academics — Premier Platform for Academic Opportunities & Research Collaboration

Visit official website of the publisher