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AI Readiness in MENA Organizations: Developing and Testing a Measurement Model (A Case Study of Guedila Company)

In: Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)

Author

Listed:
  • Nourhane Groun

    (University of Biskra, Department of Management)

  • Kamilia Izzrech

    (University of Biskra, Department of Commerce, Laboratory of Economics and Management Sciences)

Abstract

This study addresses Artificial Intelligence (AI) readiness as a key requirement for organizations aiming to adopt AI technologies effectively and responsibly, with a specific focus on the MENA region. Using quantitative exploratory approach, the research develops and empirically validates a context-aware AI readiness measurement model based on a five-point Likert-scale questionnaire. The model consists of five main dimensions: Strategic Readiness, Technological Readiness, Governance and Ethical Readiness, Organizational and Cultural Readiness, and Human Capital Readiness. It is applied through a case study of Guedila Mineral Water Company, an Algerian industrial organization. Descriptive statistical analysis reveals a moderate-to-high overall level of AI readiness, driven primarily by strong strategic orientation and supportive organizational culture. However, gaps are identified in technological infrastructure, governance frameworks, and human capital capabilities, which may hinder sustainable AI implementation.

Suggested Citation

  • Nourhane Groun & Kamilia Izzrech, 2026. "AI Readiness in MENA Organizations: Developing and Testing a Measurement Model (A Case Study of Guedila Company)," Advances in Economics, Business and Management Research, in: Djouhara Agti & Salim Bitam & Fateh Debla & Reguia Cherroun (ed.), Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026), pages 289-298, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-711-8_27
    DOI: 10.2991/978-94-6239-711-8_27
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