ICSO'25
International Conference on Smart Organizations

The Learning Organization in the Age of Artificial Intelligence

Transformation, Opportunities, and Challenges

10–11 December 2025

Higher School of Management Sciences — Annaba, Algeria
Mode: Hybrid (In-person and Virtual)
News: Keynotes annoucements are now available See keynotes

Call for Papers - ICSO'25

The International Conference on Smart Organizations (ICSO 2025) explores how artificial intelligence reshapes learning organizations and knowledge-intensive work. We bring together researchers and practitioners across management sciences, information systems, computer science, and social sciences to discuss theory, design, and real-world impact. Topics include: AI-augmented decision making; organizational learning and memory; data governance and ethics; human-AI collaboration; automation and work; platforms and ecosystems; and digital transformation.


Important Dates

Submission deadline
05 November 2025
New submission deadline 10 November 2025
Notification to authors
20 November 2025
Camera-ready due
23 November 2025
Registration deadline
05 December 2025
Conference dates
10 and 11 December 2025

Submission

Submission types

  • Regular Paper — peer-reviewed (8–12 pages). Accepted regular papers will appear in the ICSO 2025 Proceedings (ISBN) and will receive Crossref DOIs.
  • Poster — peer-reviewed for presentation only (4–6 pages). Posters are not included in the proceedings (no ISBN/DOI).

Downloads

How to prepare your paper

  • Templates: Use the official ICSO 2025 LaTeX or Word template (see downloads above).
  • Language: Submissions may be in English, Arabic, or French. However, the final camera-ready paper must be in English to be included in the proceedings.
  • PDF only for review: export a single PDF with embedded fonts and selectable text (no scans).
  • Double-blind anonymization (mandatory):
    • Remove author names, affiliations, acknowledgements, and funding numbers.
    • Write self-citations neutrally (e.g., “prior work [12] …”).
    • Strip PDF/file properties and comments.
  • Filenames (must follow exactly):
    • Anonymized paper (PDF): ICSO-2025-ANON-<short-title>.pdf
    • Author metadata (PDF/DOCX): ICSO-2025-META-<short-title>.(pdf|docx)
  • Include: title, abstract, keywords; all authors (names, affiliations, emails, ORCIDs); corresponding author; submission type (Regular or Poster); conflicts of interest.

How to submit (one email, two files)

Send one email to icso2025-submissions@essg-annaba.dz with both attachments:

  • ICSO-2025-ANON-<short-title>.pdf (the anonymized manuscript)
  • ICSO-2025-META-<short-title>.(pdf|docx) (the author metadata)

You’ll receive an automatic acknowledgment with a unique Submission ID (e.g., ICSO-2025-YYYYMMDD-HHMMSS-ABCD).

If any file is missing, you’ll receive an automatic “missing file” notice—please resend with the required attachment.

Conference Theme

We invite submissions of original papers on topics including but not limited to:

  1. Concept of the Learning Organization
    • Definitions, principles, and theoretical foundations
    • Models of organizational learning (Argyris & Schön, Senge, Nonaka, etc.)
    • Comparative approaches across disciplines (management, education, IS, CS)
    • Measuring and assessing “learning capability” within organizations
  2. Digital Solutions in the Learning Organization
    • E-learning platforms and corporate training ecosystems
    • Learning Management Systems (LMS) and Learning Experience Platforms (LXP)
    • Use of simulations, gamification, and VR/AR for organizational learning
    • Mobile and micro-learning tools in knowledge-intensive work
  3. AI in Organizational Learning
    • AI-powered knowledge discovery and decision support systems
    • Natural language processing for corporate memory and knowledge retrieval
    • Intelligent tutoring systems and adaptive training for employees
    • Generative AI for content creation, learning materials, and skill assessment
    • AI for monitoring, evaluating, and predicting learning outcomes
  4. Knowledge Management
    • Knowledge creation, sharing, and retention in organizations
    • Organizational memory and digital repositories
    • Tacit vs. explicit knowledge and tools for codification
    • Social networks, communities of practice, and collaborative platforms
    • Big data, analytics, and knowledge visualization
  5. Challenges in Adopting AI for Learning Organizations
    • Ethical concerns, trust, and transparency
    • Data privacy, governance, and regulatory compliance
    • Digital divides and inequalities across regions (North–South gap)
    • Resistance to change and cultural barriers in organizations
    • Skills gap: AI literacy and digital readiness of employees
  6. Opportunities Offered by AI to Enhance Learning and Innovation
    • Enhancing creativity, problem-solving, and innovation processes
    • AI-driven personalization of organizational training and skill development
    • Collaborative human–AI work models for innovation
    • Enhancing leadership, strategic foresight, and decision-making with AI
    • Supporting sustainable and socially responsible innovation
  7. Case Studies and Applications
    • Industry case studies of AI-augmented learning organizations
    • Comparative studies across sectors (education, healthcare, finance, manufacturing, public administration)
    • Regional perspectives: Digital transformation in the Global South
    • Lessons learned from failed or stalled implementations
  8. Strategies for the Future and Sustainable Learning
    • Roadmaps for AI adoption in learning organizations
    • Policies for inclusive and ethical digital transformation
    • Building resilience and agility through organizational learning
    • Fostering lifelong learning and continuous upskilling
    • Sustainable business models that integrate AI and learning principles

Target Audience

Keynote Speakers : Academic & Research Day

Massimo WARGLIEN photo

Massimo WARGLIEN

Italy

Professor, department of management, Università Ca' Foscari Venezia

Keynote: Embracing Uncertainty — Making organizations and AI more reflective, together

Biography

Massimo Warglien (Università Ca' Foscari, Venezia) is a researcher with diverse interests, combining computational modeling, fieldwork, and experimental methods. He has been working for a long time in the Carnegie tradition on routines, habits and organizational learning. A pioneer in artificial intelligence & organization theory, he co-edited one of the first books on the topic decades ago. He has since authored numerous papers using neural networks to model economic and organizational behavior. In the last years, extensive fieldwork in the rainforests of Northeastern India has inspired his research on interaction and organizing processes between humans and plants, and how they learn from each other.More recently, he has been interested in a critical view of LLMs and their use, working with both educational and business organizations. He has published in major scientific journals, including Science, PNAS, Nature Scientific Reports, Management Science, Organization Science, Journal of Behavioral Decision Making, Games and Economic Behavior, Strategy Science, Physica A, Synthèse, Journal of Semantics, Theoretical Linguistics, Frontiers in Psychology, Frontiers in Neuroscience. He has held visiting positions in major international universities in Europe, US, and India, including Stanford, Harvard, the University of Michigan, Imperial College, University of Southern Denmark, CNRS Marseille-Aix-en-Provence, JNU Delhi.

Abstract

Organizations facing radical uncertainty must engage in collective interpretation to construct shared representations of “what is going on here”. I suggest that a parallel paradigm shift is needed in how generative AI and organizations deal with uncertainty, learning to leverage on it rather than avoiding it. I propose to implement such a paradigm shift through the development of interpretive systems making organizations and AI more reflective, together.

Dr. Ahmad Rafiki photo

Dr. Ahmad Rafiki

Indonesia

Dean of Faculty of Economics and Business and the Head of Islamic Management and Halal Industry Center at Universitas Medan Area

Keynote: Entrepreneurial Mindsets on Business Transformation and Digitalization

Biography

Assoc Prof Dr. Ahmad Rafiki is currently as the Dean of Faculty of Economics and Business and the Head of Islamic Management and Halal Industry Center at Universitas Medan Area, Indonesia. Previously he was an Assistant Professor in Department of Business Administration of University College of Bahrain. He obtained his BBA with a major of Marketing from MARA University of Technology (UiTM) and Masters in Management from International Islamic University of Malaysia (IIUM). In 2014, he completed his PhD program from Islamic Science University of Malaysia (USIM). He is holding Certified Islamic Marketer (CIMA) from the International Islamic Marketing Association (IIMA). He actively engages with other consultation centers as the co-founders and members such as Islamic Management and Education Center, TAIF Digital Institute of Islamic Finance, and the Indonesian Association of Islamic Economist. He is now appointed as Visiting Research Fellow at Universiti Malaysia Kelantan (UMK).

Abstract

In the contemporary era of rapid digital transformation, the entrepreneurial mindset has become a central catalyst for business innovation and organizational change. This paper explores how entrepreneurial thinking drives business transformation and digitalization by fostering adaptability, creativity, and opportunity recognition in dynamic environments. Entrepreneurial mindsets enable leaders and organizations to leverage emerging technologies such as artificial intelligence, big data, and automation to redesign business models and enhance competitiveness. The study emphasizes that successful digital transformation is not merely a technological upgrade but a strategic and cultural shift that requires continuous learning, experimentation, and openness to change. However, challenges such as resistance to innovation, digital skill gaps, and organizational inertia often hinder transformation efforts. By integrating principles of entrepreneurship and learning organization theory, this paper highlights the importance of cultivating entrepreneurial agility, digital literacy, and a culture of innovation as key enablers of sustainable transformation in the digital economy.

Keywords: entrepreneurial mindset, business transformation, digitalization, innovation, learning organization, artificial intelligence.

Keynote Speakers : Smart Enterprise & Innovation Day

Mona Rajhans photo

Mona Rajhans

Palo Alto Networks, Santa Clara, CA, USA

Senior Manager, Software Engineering

Keynote: AI as an Organizational Teammate: Designing Smart Systems for Collaborative Intelligence

Biography

Mona Rajhans is a Senior Engineering Manager at Palo Alto Networks - The world’s biggest CyberSecurity company, based in Santa Clara. She is leading innovation at the intersection of cybersecurity and intelligent user interfaces. She develops AI-powered defense platforms that transform static dashboards into adaptive, real-time intelligence surfaces. With expertise in large-scale architecture, agentic AI, and front-end performance, she has pioneered advances in AI-assisted analyst workflows, contextual copilots, and secure human-AI collaboration. Passionate about innovation with impact, Mona champions the paradigm of “UI as a defensive surface,” where interface intelligence becomes a core layer of cyber resilience, while mentoring emerging engineering leaders. She holds a M.S. in Computer Science from Georgia Institute of Technology.

Abstract

As artificial intelligence continues to permeate organizational ecosystems, its role is evolving
from a decision-support tool to a true organizational teammate—one that collaborates, learns,
and adapts alongside humans. The next generation of smart organizations will not merely use
AI but will coexist with it—sharing cognitive load, creativity, and decision-making responsibilities
in dynamic, context-rich environments.

This keynote explores how organizations can design and operationalize AI systems that
enhance—not replace—human capabilities. Drawing from real-world implementations in
cybersecurity, knowledge management, and adaptive user interfaces, the talk highlights
frameworks for building collaborative intelligence—where AI copilots, intelligent agents, and
human experts operate as an integrated, self-improving team.

Amokrane Mariche photo

Amokrane Mariche

Canada, Africa, and the Middle East

International Branding and Communication Consultant

Keynote: Brand Intelligence: Building Human-Centric Organizations in the Age of AI

Biography

Amokrane Mariche is an international branding and communication consultant with over 15 years of experience helping organizations and leaders elevate their visibility and impact. Former Marketing Lead for Nike North Africa, where his team won the Best Marketing Team in Africa Award, he now works with startups, SMEs, and institutions across Canada, Africa, and the Middle East. As a speaker, trainer, and community builder, he bridges branding, technology, and human connection, empowering organizations to transform with purpose in the digital age.

Abstract

As artificial intelligence and automation reshape business models, organizations face a deeper challenge: preserving identity, trust, and human connection in an increasingly digital world.

This session explores how branding, communication, and leadership culture can drive sustainable digital transformation. Drawing on 15+ years of experience across Africa and Canada, Amokrane Mariche demonstrates how companies can align technology adoption with brand purpose, employee engagement, and stakeholder communication. Participants will discover actionable ways to build “brand intelligence” — combining data, authenticity, and storytelling to create agile, human-centred organizations ready for the AI era.

Program

Day 1 — Academic & Research Innovation Day

The first day of ICSO 2025 is dedicated to academia, scientific discovery, and the future of organizational intelligence in the AI era.

It will feature keynote speeches, research presentations, and academic discussions highlighting emerging theories, digital learning practices, and innovations in smart organizations.

A unique platform to exchange knowledge and push forward the frontiers of AI-enabled learning and management systems.

Day 2 — Business & Digital Transformation Day

The second day focuses on industry, entrepreneurship, and real-world innovation.

Executives, practitioners, and startup leaders will showcase how AI, data, and automation are reshaping organizational performance and business models.

Interactive panels and workshops will explore practical strategies for digital transformation and AI deployment across sectors.

Touristic tour and social event will be announced later.

Registration

Honorary Chair

Prof. Cherif RIHANE photo

Honorary Conference Chair

Prof. Cherif RIHANE

Higher School of Management Sciences – Annaba, Algeria

Committees

Dr. Khaoula OUACEL photo

Conference Chair

Dr. Khaoula OUACEL

Higher School of Management Sciences – Annaba, Algeria

Dr. Anis BEY photo

Conference Chair

Dr. Anis BEY

Higher School of Management Sciences – Annaba, Algeria

Dr. Djaber Chemseddine BENCHETTAH photo

Organizing Committee Chair

Dr. Djaber Chemseddine BENCHETTAH

Higher School of Management Sciences – Annaba, Algeria

Dr. Loubna Rabab MAZOUZ photo

Organizing Committee Chair

Dr. Loubna Rabab MAZOUZ

Higher School of Management Sciences – Annaba, Algeria

Dr. Abderrahmen GUEROUI photo

Technical Program Committee Chair

Dr. Abderrahmen GUEROUI

Higher School of Management Sciences – Annaba, Algeria

Program Committee

Sponsors

Soon

Contact and Location

Higher School of Management Sciences — Annaba

ESSG Annaba, Algeria

Annaba, Algeria

essg-annaba.dz

icso2025@essg-annaba.dz

Annaba is a vibrant Mediterranean city in northeastern Algeria, known for its beautiful coastline, ancient heritage at Hippo Regius, and lively waterfront. The city offers welcoming hospitality, a mild climate in December, and convenient access to hotels, cafés, and cultural sites near the conference venue.

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