Enhancing Risk Management and Management Objectives through Artificial Intelligence: A Quantitative Method Study in Malaysian Companies

Mukhtar Idris Abu Baker Adam, Siti Maisara Binti Mohd Jafre, Abdoulrahman Aljounaidi., Ahmad Mhd Emad Diab and Alharath Ateik
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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

International Journal of Research and Innovation in Applied Science, 2024, vol. 9, issue 8, 233-238

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.

Date: 2024
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