@article {
    orvium-68b9eaea38fc93d116e5bd38,
    title = "AI Manpower Verification Tool for Managing Project Resource Management in Utility Services in United Arab Emirates (UAE)",
    abstract = "Extant literature on project resource management emphasizes the value of technology in improving planning and execution, but it also highlights the limi-tations of traditional workforce management systems. However, many existing systems lack the intelligence and automation capabilities necessary to adapt in real-time to the fluid conditions of fieldwork in utility services. As a result, this study aimed at: evaluating the effectiveness of AI-powered monitoring systems in improving resource planning and allocation; and investigating the impact of real-time AI tracking tools on operational efficiency in utility service manage-ment. The paper employed descriptive approach by conducting digital survey targeting project managers and utility service managers in United Arabs Emir-ates (UAE). The study collected 217 responses. The findings revealed that AI-powered monitoring systems markedly improve the accuracy of resource planning and allocation, driven by their advanced predictive analytics, real-time responsiveness, and adaptability across operational contexts. Similarly, AI-enabled real-time tracking systems have shown significant impact on opera-tional efficiency, particularly in facility management services. Consequently, the study concluded AI-based manpower verification tools hold significant trans-formative potential that can enhancing project resource management within utility services.",
    keywords = "Artificial Intelligence, Manpower Verification Tool, Project Resource Management, Utility Services",
    author = "Abdulla Bin Doei and Mohammed Alketbi",
    year = "2025",
    language = "English",
    url = "https://dapp.orvium.io/deposits/68b9eaea38fc93d116e5bd38/view",
}