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Multinational enterprises (MNEs) face unprecedented challenges from exogenous shocks such as pandemics, natural disasters, geopolitical tensions, and supply chain disruptions. These major disruptions test the resilience and adaptability of global business operations and require strategic responses that span multiple countries and business units.

The COVID-19 pandemic has highlighted the vulnerabilities and opportunities within global value chains and MNE operations. Understanding how MNEs learn from and adapt to such major disruptions is critical for both theory and practice in international business.

This special issue seeks to advance our understanding of how MNEs respond to, learn from, and build resilience against exogenous shocks. We welcome empirical and theoretical contributions that examine MNE adaptation strategies, organizational changes, and the factors that influence their ability to navigate major disruptions.

Appel publié par Journal of World Business. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• How have MNEs adapted their global value chains in response to exogenous shocks?
• What organizational and strategic changes have MNEs implemented to build resilience?
• How has the pandemic affected MNE subsidiary autonomy, mandates, and roles?
• What is the role of digital transformation in MNE adaptation to exogenous shocks?
• How do institutional contexts shape MNE responses to major disruptions?
• What are the short-term and long-term implications of exogenous shocks for MNE competitiveness?
• How have MNEs managed stakeholder relationships during major disruptions?
• What lessons can be learned from MNE responses to past crises?

Timeline

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Mirco Peron, NEOMA Business School

Ibrahim Kucukkoc, Balikesir University

Daniel Alejandro Rossit, Universidad Nacional del Sur

Ilkyeong Moon, Seoul National University

Olga Battaïa, KEDGE Business School

Michael Pinedo, Stern School of Business, New York University

Production planning has long been central to operations management, with classical problems like scheduling and capacity planning addressed through mathematical programming and heuristics. However, emerging technologies—cyber-physical systems, IoT, digital twins, additive manufacturing, and AI—are fundamentally transforming both the problems planners face and the methods available to solve them.

These technological shifts have introduced new planning challenges: digital twin-driven real-time optimization, hybrid conventional-additive manufacturing systems, reconfigurable production topologies, circular economy objectives, and resilience under global disruptions. Concurrently, solution approaches have evolved from traditional optimization to data-driven methods including reinforcement learning, hybrid metaheuristics, simulation-optimization frameworks, and multi-agent systems.

Appel publié par International Journal of Production Research. Lire l'appel complet sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Evolution of classical planning problems (lot sizing, capacity planning, scheduling, assembly line balancing) in modern manufacturing contexts
• Planning in reconfigurable, modular, and hybrid manufacturing systems
• Integration of additive manufacturing and conventional processes in planning
• Additive manufacturing production scheduling
• Digital twin–enabled planning and real-time adaptive scheduling
• Production planning under sustainability, circular economy, emissions or carbon goals
• Resilience-oriented planning under uncertainty, disruptions, and volatility
• Advanced optimization methods: decomposition, robust/stochastic models, metaheuristics
• Machine learning, reinforcement learning, hybrid AI–optimization for planning
• Simulation–optimization frameworks and surrogate modeling
• Production Planning problems associated with customized environments (engineering-to-order, make-to-order, mass customization)
• Human–robot collaborative systems and operator-driven planning in the context of Industry 5.0
• Reinforcement learning / deep learning models applied to dynamic planning and scheduling, (e.g., graph neural network and RL architectures for scheduling problems)
• Optimization of production and inventory strategies in modern distribution systems (e.g., e-commerce, platform-based logistics)

Timeline

• September 30, 2026: Manuscript deadline

Guoqing Zhao, Swansea University

Samuel Fosso Wamba, TBS Business School

Maciel M. Queiroz, FGV EAESP

Recent large-scale disruptions including pandemics, geopolitical conflicts, and climate disasters have revealed how disturbances cascade across supply chain levels, causing systemic failures. While supply chain resilience has become prominent in research, existing literature remains fragmented, typically examining single analytical levels without comprehensive systemic perspective.

This special issue advances systemic understanding of supply chain resilience by examining cross-level interactions and building multi-level frameworks. The issue seeks research treating resilience as a dynamic capability emerging from interactions across individual, organizational, supply chain, and environmental levels, exploring how factors at different levels influence each other, applying theoretical frameworks like systems theory and panarchy theory, investigating technology's mediating role, and developing practical tools for managers.

Appel publié par The International Journal of Logistics Management. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Supply chain resilience as a multi-level framework
• Individual, organizational, supply chain, and environmental levels
• Socio-ecological resilience
• Socio-technological resilience
• Cross-level interactions and dynamics
• Contextualized understanding of supply chain resilience
• Individual-level factors and leadership
• Mechanisms of resilience influence across levels
• Theoretical innovations in supply chain resilience
• Systems theory applications
• Socio-technological theory
• Panarchy theory
• Middle-range theory
• Emergent system properties
• Technology as cross-level enabler
• Digital platforms and resilience
• Artificial intelligence and resilience
• Internet of Things and resilience
• Blockchain and resilience
• Digital twins
• Managerial practices for systemic resilience
• Tools and frameworks for cross-level alignment
• Balancing efficiency, flexibility, and redundancy

Timeline

• June 1, 2026: Opening date for manuscripts submissions
• October 15, 2026: Closing date for manuscripts submission

Jon F. Kirchoff, East Carolina University

Ying Liao, East Carolina University

Shingirai Chris Kwaramba, Virginia Commonwealth University

Supply chain risk management traditionally assumes decision-makers are rational and risk-neutral, but practitioners operate under bounded rationality and cognitive biases, deviating from optimal choices when facing uncertainty. These behavioral deviations affect risk identification, assessment, and mitigation, yet existing theories fail to account for them, resulting in suboptimal strategies and reduced organizational efficiency.

Current behavioral SCRM research focuses primarily on individual factors with limited exploration of how organizational and inter-organizational contexts shape behavior. This special issue examines behavioral issues across multiple analytical levels: individuals, organizations, and supply chain networks. The editors seek research that identifies limitations in existing theories or introduces innovative frameworks addressing SCRM complexities through interdisciplinary perspectives from psychology, organizational studies, and decision-making research.

Appel publié par International Journal of Physical Distribution & Logistics Management. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Behavioral supply chain risk management
• Decision-making biases in supply chain contexts
• Risk identification and assessment
• Risk mitigation strategies
• Individual risk preferences and decision styles
• Organizational risk culture and appetite
• Inter-organizational power dynamics and dependencies
• Micro-level behavioral dynamics
• Macro-level organizational decision-making
• Inter-organizational supply chain networks
• Information manipulation and risk signaling
• Inter-firm risk-sharing mechanisms
• Behavioral resilience and recovery
• AI and human decision-making in risk management
• Cyber risk management behavior
• Social conflict risks in supply chains
• Supplier-buyer relationship dynamics
• Technology adoption and behavioral change
• Bounded rationality in supply chains
• Trust and opportunism in supply networks

Timeline

• March 15, 2026: Opening date for manuscripts submissions
• April 15, 2026: Closing date for abstract submission
• November 15, 2026: Closing date for manuscripts submission