Artificial Intelligence in Management Science

CFP
Journal
online
SUBMISSION DEADLINE
31/12/2026
JOURNAL
EuroMed Journal of Business
PUBLISHER
Emerald Publishing
GUEST EDITORS
Przemyslaw Tomczyk, Loureiro Sandra, Valeri Marco, Alslaibi Naji, Kouroupi Nansy
POSTED ON
01/04/2026

DETAILS

CALL FOR PAPERS

Artificial Intelligence in Management Science

Journal: EuroMed Journal of Business

Publisher: Emerald Publishing

Submission Opens: 1 September 2026

Submission Deadline: 31 December 2026


Introduction

Artificial Intelligence (AI) is fundamentally transforming management science — offering new opportunities to enhance decision-making, operations, marketing, supply chain management, finance, strategy, and human resource management. AI can be broadly defined as systems capable of performing tasks that normally require human intelligence, such as learning, reasoning, and problem solving.

Organizations are rapidly adopting AI to improve performance, responsiveness, and innovation — yet this transformation raises complex management challenges. Integrating AI into organizational processes requires alignment with existing structures, cultures, and strategies. Employees must adapt to new technologies, redefining roles and skills, while managers must address change management, coordination, and resistance.

AI is emerging as a powerful driver of management innovation — enabling real-time decision support, creative problem-solving, and dynamic strategy formulation. It transforms managerial tasks by automating cognitive processes and fostering novel configurations of organizational knowledge. AI also supports decision-makers in encouraging knowledge-sharing activities — spotting redundancies in business operations and recommending the best use of resources to enhance performance.

In addition to its transformative potential, AI brings new challenges such as model drift, hallucinations in generative models, and decision opacity in deep learning systems. The automation of managerial and operational processes raises critical questions about explainability, trust, and systemic bias. Furthermore, ethical considerations are central to AI adoption — issues of transparency, accountability, fairness, and bias demand new governance models.

This Special Issue calls for research that advances understanding of AI in management science — encompassing strategic management, operations, marketing, finance, human resources, organizational change, and business ethics — with actionable implications for managers, policymakers, and regional development bodies.


Scope & Significance

Despite growing interest in AI across business and management disciplines, critical research gaps remain in understanding how AI is implemented and used across management science domains, and which factors shape successful outcomes. This Special Issue seeks to bridge these gaps by bringing together rigorous interdisciplinary research from both public and private sector perspectives — across the full spectrum of industrial and service sectors.


List of Topic Areas

Manuscripts are invited on themes including, but not limited to:

  1. Artificial Intelligence applications in management science

  2. Strategic management and AI-driven strategy formulation

  3. Operations management and AI-enabled process optimization

  4. Supply chain management and AI-powered logistics

  5. Knowledge management and AI-supported knowledge sharing

  6. Marketing innovation through AI and data analytics

  7. Finance and AI — decision support, risk management, and forecasting

  8. Human resource management in the age of AI

  9. Organizational change, adaptation, and AI integration

  10. Ethics, trust, transparency, and accountability in AI adoption

  11. Algorithmic bias, explainability, and governance frameworks for AI

  12. AI and decision-making — model drift, hallucinations, and opacity challenges

  13. Public and private sector differences in AI adoption and management

  14. Change management and employee adaptation to AI technologies

  15. Sustainable AI integration and balancing efficiency with algorithmic risks


Guest Editors

Dr. Przemyslaw Tomczyk 📧 (contact via journal submission platform)

Prof. Sandra Loureiro 📧 (contact via journal submission platform)

Prof. Marco Valeri 📧 (contact via journal submission platform)

Dr. Naji Alslaibi 📧 (contact via journal submission platform)

Dr. Nansy Kouroupi 📧 (contact via journal submission platform)


Key Deadlines

📅 Manuscript Submission Opens: 1 September 2026

⏰ Manuscript Submission Deadline: 31 December 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 "Artificial Intelligence in Management Science" 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.

🌐 Submission Portal: https://mc.manuscriptcentral.com/emjb

🌐 Author Guidelines: https://www.emeraldgrouppublishing.com/journal/emjb#jlp_author_guidelines


About the Journal

The EuroMed Journal of Business (EMJB), published by Emerald Publishing, is a leading peer-reviewed journal dedicated to advancing research on business, management, and entrepreneurship across the Euro-Mediterranean region and beyond. It provides an international platform for scholars and practitioners exploring strategic management, digital transformation, sustainability, innovation, and organizational dynamics in diverse and emerging contexts.


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