Academic & Professional Profile
I am a researcher and business professional with a strong interest in Artificial Intelligence, decision-making efficiency and organizational performance. My academic research focuses on understanding how Artificial Intelligence can support better decision-making in modern businesses while maintaining human judgment, accountability and responsible governance.
My research examines the relationship between AI adoption, decision-making efficiency and organizational performance, with particular attention to decision speed, decision accuracy and decision consistency.
Academic Background
I hold a Doctor of Philosophy (PhD) from the University of Malaya, with doctoral research focusing on Artificial Intelligence adoption, decision-making efficiency and organizational performance. My research examines how AI can be integrated into organizational decision processes to improve decision speed, decision accuracy and decision consistency, while maintaining appropriate human judgment, accountability and responsible governance.
Research Profile
My doctoral research examines how Artificial Intelligence adoption influences decision-making efficiency and organizational performance in modern businesses. The research focuses on decision speed, decision accuracy and decision consistency, while also considering the role of human judgment, organizational processes and responsible AI governance.
Research Interests
My research interests focus on Artificial Intelligence adoption, decision-making efficiency and organizational performance. Particular areas of interest include AI-supported decision-making, decision speed, decision accuracy, decision consistency, human-AI collaboration, responsible AI governance and the integration of AI into organizational decision processes.
Professional Background
In addition to my academic research, I have professional experience in business and organizational management. My professional interests include strategic management, organizational development, business decision-making and the practical application of emerging technologies. This professional perspective complements my academic research by connecting theoretical insights with practical organizational challenges and decision-making.
Research Approach
My doctoral research adopts a positivist, deductive and quantitative research approach to examine the relationships between Artificial Intelligence adoption, decision-making efficiency and organizational performance. The research considers decision speed, decision accuracy and decision consistency as key dimensions of decision-making efficiency, while also recognizing the importance of human judgment, organizational processes and responsible AI governance.
Research Publications
My research has resulted in academic publications examining Artificial Intelligence, decision-making efficiency and organizational performance. The publications present both empirical and conceptual perspectives on how AI can support organizational decision-making while emphasizing human-AI collaboration, responsible governance and organizational accountability.
Journal 1 — Artificial Intelligence Adoption and Decision-Making Efficiency
Artificial Intelligence Adoption and Decision-Making Efficiency: Evidence from Modern Businesses
Journal 2 — AI Decision-Making Framework
Research Philosophy
My research philosophy is centered on the responsible and practical application of Artificial Intelligence in organizational decision-making. I believe that AI should enhance human capabilities rather than replace human judgment. Effective AI adoption requires a balance between technological capability, decision-making efficiency, organizational objectives, human oversight and responsible governance.