Agentic Artificial Intelligence and the Future of Multinational Enterprises: Opportunities, Risks, and Reconfigurations
DETAILS
Call for Papers
Agentic Artificial Intelligence and the Future of Multinational Enterprises: Opportunities, Risks, and Reconfigurations
Journal: Review of International Business and Strategy
Publisher: Emerald Publishing
Submission Opens: 1 August 2026
Full Paper Submission Deadline: 31 January 2027
This Special Issue invites conceptual and empirical research examining how Agentic Artificial Intelligence (Agentic AI) is transforming the strategies, competitive dynamics, organizational structures, and international operations of multinational enterprises (MNEs).
About the Special Issue
Agentic AI represents a significant development beyond conventional AI systems. Rather than primarily providing predictions or recommendations, AI agents can operate with varying degrees of autonomy, goal orientation, decision-making authority, and task execution capabilities.
For multinational enterprises, these technologies can support continuous market sensing, autonomous decision-making, dynamic pricing, international supply-chain reconfiguration, alliance management, risk mitigation, and coordination across geographically dispersed operations.
At the same time, greater AI autonomy introduces major questions concerning control, accountability, transparency, algorithmic bias, regulatory compliance, strategic alignment, ethics, and human oversight, particularly when AI agents operate across countries with different institutional and regulatory environments.
The Special Issue focuses on three interconnected dimensions: Strategizing with Agentic AI, Competing using Agentic AI, and Organizing around Agentic AI.
Key Research Areas
Agentic AI in international strategic decision-making
Human oversight of autonomous AI agents
AI governance and alignment with organizational strategy
Bias and path dependence in AI-driven strategizing
Delegation of strategic decisions to autonomous AI systems
Agentic AI and international market entry
AI-enabled opportunity recognition and international expansion
Agentic AI in emerging versus developed markets
Ethical challenges associated with autonomous AI
Agentic AI and global competitive advantage
Dynamic pricing and autonomous competitive responses
AI-driven rivalry and strategic imitation
Algorithmic coordination and regulatory risks
Agentic AI during global crises and disruptions
Organizational capabilities required to capture value from AI
AI capability transfer between headquarters and subsidiaries
Organizational restructuring around autonomous AI agents
Human–AI collaboration within multinational enterprises
AI-driven changes in managerial roles and power structures
Workforce adaptation and resistance to autonomous AI
Accountability and transparency in AI-driven organizations
Hybrid human–Agentic AI organizational models
Coordination between AI agents and international subsidiaries
Agentic AI across global value chains
Research Approaches
The Special Issue welcomes a broad range of scholarly approaches, including:
Quantitative research
Qualitative research
Mixed-methods studies
Deductive, inductive, and abductive approaches
Conceptual and theory-building papers
Authors are also encouraged to explore the conceptual boundaries of Agentic AI and examine existing theories across different international and organizational contexts.
Guest Editors
Pervez Ghauri, Jaeyoung Cho, Sadaf Khurshid, Melodena Stephens
Key Dates
Manuscript Submissions Open: 1 August 2026
Full Manuscript Submission Deadline: 31 January 2027
Submission Information
Full manuscripts should be submitted through the Review of International Business and Strategy ScholarOne Manuscripts system. Authors must select the relevant Special Issue title during submission and strictly follow the journal's author guidelines.
Submitted manuscripts must be original and must not be published or under consideration elsewhere while being reviewed by the journal.
Abstract Enquiries
Abstracts and related enquiries may be sent to:
Pervez Ghauri
Email: p.ghauri@bham.ac.uk
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