Earticle

초록

영어

The present article describes the Cognitive GRC Cloud (CGC), a hybrid AI-powered model that integrates psychological behavior aspects with governance, risk, and compliance (GRC) modules for the dynamic management of a project. Conventional GRC models are mainly concentrated on technical automation and, thus, ignore the fact that cognitive biases affect the decision-making process and the perception of risk. The framework introduced relies on AI analytics and the psychological feedback system to detect, measure, and neutralize these biases on the spot. Their experimental performance demonstrates that CGC achieves lower levels of project risk indices, schedule slippage, and compliance violations than baseline systems. The findings demonstrate that integrating cognitive modeling with AI-based governance is a viable approach to cloud-enabled project management that is more efficient and less prone to bias.

목차

Abstract
I. Introduction
II. Literature Review
III. Methodology
2. Cognitive Risk Function
3. Core Variables and Data Mapping
4. Implementation and Evaluation
5. Visualization and Hologram Graph
IV. Results
V. Conclusion
VI. References

키워드

저자

• Tariq Hanif [ UIIT PMAS Arid Agriculture University, Rawalpindi, Pakistan ]
• Saba Nadeem [ Department of Psychology, Rawalpin ]
• Afifa Syed [ UIIT PMAS Arid Agriculture University, Rawalpindi, Pakistan ]
• Atif Ali [ Research Management Centre (RMC), Multimedia University, Cyberjaye 63100 Malaysia. ]
• Hina Naseem [ Allama Iqbal Open University Islamabad, Pakistan ]
• Hina Riaz [ UIIT PMAS Arid Agriculture University, Rawalpindi, Pakistan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004