AI Readiness in MENA Organizations: Developing and Testing a Measurement Model (A Case Study of Guedila Company)
- DOI
- 10.2991/978-94-6239-711-8_27How to use a DOI?
- Keywords
- Artificial Intelligence; AI Readiness; Measurement Model; MENA Organizations; Guedila Mineral Water Company
- 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.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Nourhane Groun AU - Kamilia Izzrech PY - 2026 DA - 2026/06/24 TI - AI Readiness in MENA Organizations: Developing and Testing a Measurement Model (A Case Study of Guedila Company) BT - Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026) PB - Atlantis Press SP - 289 EP - 298 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-711-8_27 DO - 10.2991/978-94-6239-711-8_27 ID - Groun2026 ER -