Artificial Intelligence for Enhancing Engineering Project Management During Emergencies: Perception-based Analysis
Abstract
Purpose: The research studies the impact of various Artificial Intelligence (AI) tools on engineering project management and describes how they affect management success during emergencies in the Ukrainian context. Special attention is paid to the skills comprising AI readiness among engineers and their formation in the system of continuous education.
Methodology/Approach: The study employed a perception-based analysis and applied the social cognitive theory and expectancy theory, enabling structured opinion-based questionnaires on Likert scales and assessing engineering project success after the introduction of AI tools. The research involved 96 engineers with diverse roles and expertise representing civil engineering companies or military organisations.
Findings: The research explained the peculiarities of some challenges hindering engineering project management and defined traditional, agile, and hybrid engineering project management used during emergencies. 25 AI tools were outlined, and their impact on project success was revealed. The category of AI readiness was described, and its components were presented.
Research Limitation/implication: Since the perception-based analysis relies on subjective views, it may not fully present the objective evaluation of AI tools in engineering project management during emergencies. The findings can be used to improve engineers' training programs by integrating AI-focused modules.
Originality/Value of paper: The research provides a context-specific understanding of how AI can be applied to the unique challenges faced in Ukraine.
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Copyright (c) 2024 Viktor Chmyr
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