Crises and Risks in Engineering Project Management: Identification and Classification, Crisis Triggers and Early Warning Indicators, Lessons Learned and Implications
Infrastructure construction and rehabilitation projects operate under complex and evolving risks. Addressing these risks requires a comprehensive understanding of the full risk-management pipeline of risk identification, taxonomic classification, ranking, quantitative assessment, and response. Existing reviews largely...
Nour Faris, Tarek M. Zayed, Shahla Ali et al.· Buildings· 0 citations
This paper examines the application of strategical and tactical management as foundations for creating a decision support tool designed to prevent and manage major accident risks. The discussion is based on results and experiences from the work of designing a decision support platform within the mining industry. The d...
R. Bye, Trine Marie Stene· European Conference on Knowl...· 0 citations
In today’s interconnected, high-speed global environment, organizations of all sizes are increasingly vulnerable to crises that threaten their stability and success. Crisis management has the potential to drive organizational transformation; however, inadequate understanding of crisis procedures can compromise resilien...
Nor Amira Syairah Zulkarnaini, A. Yusop, N. S. Samsuden et al.· International journal of res...· 0 citations
The rapid proliferation of artificial intelligence technologies across organizational contexts has generated unprecedented opportunities alongside substantial risks that demand systematic management approaches. This article presents a comprehensive analysis of AI-related risks and develops an integrated framework for o...
Jonathan H. Westover· Algorithmic Society: The Jou...· 0 citations
The article presents a theoretical and methodological generalization and develops a comprehensive multi-level typology of risk management tools for innovation and investment projects under digital economic transformation and global instability. It is substantiated that the qualitative specificity of such projects stems...
Vitalii Verbovyi· Actual problems of innovativ...· 0 citations
An integrated framework that transforms multidimensional data into dynamic risk signals through temporal analysis, anomaly detection, predictive modeling, benchmarking, and explainable analytics is developed and positions risk intelligence as a closed-loop capability for strengthening anticipatory decision-making, inst...
Precious Adanne· International Journal of Res...· 0 citations
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