Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Assessing Public-Sector Readiness for Artificial Intelligence in Egypt
Artificial intelligence (AI) is increasingly adopted in public-sector contexts, yet successful implementation depends on organizational readiness, particularly in developing countries. This study assesses the readiness of Egypt’s public sector for AI adoption using a qualitative expert opinion metho...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
AUC Knowledge Fountain
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613432954486784 |
|---|---|
| access_status_str | Open Access |
| author | Anwar, Renad Ahmed |
| author_browse | Anwar, Renad Ahmed |
| author_facet | Anwar, Renad Ahmed |
| author_sort | Anwar, Renad Ahmed |
| collection | Thesis |
| description | Artificial intelligence (AI) is increasingly adopted in public-sector contexts, yet successful implementation depends on organizational readiness, particularly in developing countries. This study assesses the readiness of Egypt’s public sector for AI adoption using a qualitative expert opinion methodology. Semi-structured interviews were conducted with senior professionals from global technology firms with extensive experience working with public-sector entities in Egypt.
Guided by by an integrated framework combining organizational readiness theory, the Technology–Organization–Environment (TOE) framework, and public value and governance perspectives, the study examines strategic, organizational, human, technological, societal, and governance dimensions of AI readiness. The findings indicate that while Egypt demonstrates strong national ambition and early strategic commitment to AI, significant readiness gaps persist at the organizational and operational levels. These include limited internal capabilities, skills shortages, data and infrastructure challenges, and evolving governance and regulatory frameworks.
The study contributes empirical insights to the limited literature on public-sector AI readiness in developing-country contexts and offers policy-relevant recommendations to support effective, sustainable, and responsible AI adoption in Egypt’s public sector. |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-3785 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:36:03.647Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| spelling | oai:fount.aucegypt.edu:etds-3785 Assessing Public-Sector Readiness for Artificial Intelligence in Egypt Anwar, Renad Ahmed Artificial intelligence (AI) is increasingly adopted in public-sector contexts, yet successful implementation depends on organizational readiness, particularly in developing countries. This study assesses the readiness of Egypt’s public sector for AI adoption using a qualitative expert opinion methodology. Semi-structured interviews were conducted with senior professionals from global technology firms with extensive experience working with public-sector entities in Egypt. Guided by by an integrated framework combining organizational readiness theory, the Technology–Organization–Environment (TOE) framework, and public value and governance perspectives, the study examines strategic, organizational, human, technological, societal, and governance dimensions of AI readiness. The findings indicate that while Egypt demonstrates strong national ambition and early strategic commitment to AI, significant readiness gaps persist at the organizational and operational levels. These include limited internal capabilities, skills shortages, data and infrastructure challenges, and evolving governance and regulatory frameworks. The study contributes empirical insights to the limited literature on public-sector AI readiness in developing-country contexts and offers policy-relevant recommendations to support effective, sustainable, and responsible AI adoption in Egypt’s public sector. 2026-02-15T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/2724 https://fount.aucegypt.edu/context/etds/article/3785/viewcontent/Renad_Ahmed_Anwar_thesis.pdf Theses and Dissertations AUC Knowledge Fountain Artificial Intelligence governance Public Sector Readiness Technology Public Administration Digital transformation AI strategy Innovation Infrastructure Management Information Systems Policy Design, Analysis, and Evaluation Public Administration Science and Technology Policy Science and Technology Studies Technology and Innovation |
| spellingShingle | Artificial Intelligence governance Public Sector Readiness Technology Public Administration Digital transformation AI strategy Innovation Infrastructure Management Information Systems Policy Design, Analysis, and Evaluation Public Administration Science and Technology Policy Science and Technology Studies Technology and Innovation Anwar, Renad Ahmed Assessing Public-Sector Readiness for Artificial Intelligence in Egypt |
| title | Assessing Public-Sector Readiness for Artificial Intelligence in Egypt |
| title_full | Assessing Public-Sector Readiness for Artificial Intelligence in Egypt |
| title_fullStr | Assessing Public-Sector Readiness for Artificial Intelligence in Egypt |
| title_full_unstemmed | Assessing Public-Sector Readiness for Artificial Intelligence in Egypt |
| title_short | Assessing Public-Sector Readiness for Artificial Intelligence in Egypt |
| title_sort | assessing public sector readiness for artificial intelligence in egypt |
| topic | Artificial Intelligence governance Public Sector Readiness Technology Public Administration Digital transformation AI strategy Innovation Infrastructure Management Information Systems Policy Design, Analysis, and Evaluation Public Administration Science and Technology Policy Science and Technology Studies Technology and Innovation |
| url | https://fount.aucegypt.edu/etds/2724 https://fount.aucegypt.edu/context/etds/article/3785/viewcontent/Renad_Ahmed_Anwar_thesis.pdf |
| work_keys_str_mv | AT anwarrenadahmed assessingpublicsectorreadinessforartificialintelligenceinegypt |