Emerging Technologies: Can Artificial Intelligence Enhance Knowledge Management in Arab Universities?

This study aims to identify the implementation of knowledge management processes in Arab universities based on artificial intelligence technology. A phenomenological approach is used to analyze this implementation in leading Saudi Arabian universities. Data were collected through interviews, observations, and literature reviews, then analyzed using the Interpretative Phenomenological Analysis (IPA) method to explore themes and insights from participants' experiences. The study results indicate that implementing knowledge management processes based on artificial intelligence in Arab universities is moderate. Universities have developed networks to generate, store, share, and apply knowledge through artificial intelligence techniques. However, they still face various challenges in this technology-based knowledge management process. Based on these findings, this study recommends improving university infrastructure with the latest artificial intelligence technology and its application in knowledge management. It is also recommended that new services and applications based on artificial intelligence in the field of education be utilized through training programs, workshops, scientific meetings, and seminars related to digital developments. In addition, universities are encouraged to share knowledge internally and externally through knowledge management teams and training units in artificial intelligence systems.

Authors

Institutions

Publication Details

Journal
AL-TANZIM JURNAL MANAJEMEN PENDIDIKAN ISLAM
Published
2024-12-23
DOI
https://doi.org/10.33650/al-tanzim.v8i4.9487
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Emerging Technologies: Can Artificial Intelligence Enhance Knowledge Management in Arab Universities?

Bannaga Taha Al-Zubair Hussen
AL-TANZIM JURNAL MANAJEMEN PENDIDIKAN ISLAM
Organizational and Employee Performance
article

Emerging Technologies: Can Artificial Intelligence Enhance Knowledge Management in Arab Universities?

Bannaga Taha Al-Zubair Hussen
article en

Abstract

This study aims to identify the implementation of knowledge management processes in Arab universities based on artificial intelligence technology. A phenomenological approach is used to analyze this implementation in leading Saudi Arabian universities. Data were collected through interviews, observations, and literature reviews, then analyzed using the Interpretative Phenomenological Analysis (IPA) method to explore themes and insights from participants' experiences. The study results indicate that implementing knowledge management processes based on artificial intelligence in Arab universities is moderate. Universities have developed networks to generate, store, share, and apply knowledge through artificial intelligence techniques. However, they still face various challenges in this technology-based knowledge management process. Based on these findings, this study recommends improving university infrastructure with the latest artificial intelligence technology and its application in knowledge management. It is also recommended that new services and applications based on artificial intelligence in the field of education be utilized through training programs, workshops, scientific meetings, and seminars related to digital developments. In addition, universities are encouraged to share knowledge internally and externally through knowledge management teams and training units in artificial intelligence systems.

AL-TANZIM JURNAL MANAJEMEN PENDIDIKAN ISLAMVol. 8(4)
University of Khartoum (SD)
Openalex Percentile: Top 77%
Organizational and Employee Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.