Author
Listed:
- Mukhtar Idris Abu Baker Adam
(Faculty of Finance and Administrative Science, Al Madinah International University, Taman Desa Petaling, 57100 Kuala Lumpur, Malaysia)
- Siti Maisara Binti Mohd Jafre
(Faculty of Finance and Administrative Science, Al Madinah International University, Taman Desa Petaling, 57100 Kuala Lumpur, Malaysia)
- Abdoulrahman Aljounaidi.
(Faculty of Finance and Administrative Science, Al Madinah International University, Taman Desa Petaling, 57100 Kuala Lumpur, Malaysia)
- Ahmad Mhd Emad Diab
(Faculty of Computer and Information Technology, Al Madinah International University, Taman Desa Petaling, 57100 Kuala Lumpur, Malaysia)
- Alharath ateik
(Faculty of Information Management, Universiti Teknologi Mara, Kuala Lumpur, Malaysia)
Abstract
This study explores the mediating effect of artificial intelligence (AI) on the relationship between risk management factors and management objectives in Malaysian companies. A quantitative approach was used to examine how AI enhances risk identification, analysis, and prioritization, leading to improved management objectives. The survey instrument showed high content validity and strong internal consistency, Hypothesis testing indicated that AI significantly mediates the relationship between risk management factors and management objectives. while its mediated effects through risk management factors were also significant. These results highlight the critical role of AI in enhancing risk management practices and achieving management goals. Organizations are encouraged to integrate AI into their risk management frameworks to leverage its predictive insights and real-time decision-making capabilities.
Suggested Citation
Mukhtar Idris Abu Baker Adam & Siti Maisara Binti Mohd Jafre & Abdoulrahman Aljounaidi. & Ahmad Mhd Emad Diab & Alharath ateik, 2024.
"Enhancing Risk Management and Management Objectives through Artificial Intelligence: A Quantitative Method Study in Malaysian Companies,"
International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 9(8), pages 233-238, August.
Handle:
RePEc:bjf:journl:v:9:y:2024:i:8:p:233-238
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjf:journl:v:9:y:2024:i:8:p:233-238. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrias/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.