Smart Digital Administrative Performance Measurement Model Using Artificial Intelligence: A Confirmatory Survey Analysis

Eyab A. Alshehab

Published: 2025/08/10 · PUB-2025-000001

Abstract

This research introduces an innovative Smart Digital Administrative Performance Measurement Model that integrates artificial intelligence with traditional performance metrics to address the complexities of modern digital administration. The model is designed to provide both quantitative and qualitative insights into administrative effectiveness by leveraging real-time data analytics and AI-driven algorithms. In a confirmatory study involving over 1,200 respondents from diverse industries undergoing digital transformation, advanced statistical techniques such as confirmatory factor analysis and structural equation modeling were employed to validate the framework. The findings indicate significant improvements in key performance indicators, including a 30% enhancement in decision-making speed and a 25% increase in resource utilization efficiency, compared to conventional measurement methods. The study builds on established theoretical foundations and incorporates recent advancements in AI and big data analytics. By integrating AI-enhanced metrics with traditional administrative indicators, the model confirms the viability of digital performance measurement while offering a robust tool for managerial decision-making in dynamic environments. The survey results provide compelling empirical evidence that AI-driven analytics can uncover latent performance patterns and deliver actionable insights, enabling organizations to optimize resource allocation and improve overall operational efficiency. Furthermore, this research highlights the importance of developing adaptable measurement tools that keep pace with the evolving digital landscape. The confirmatory results underscore the potential of AI to bridge the gap between conventional performance evaluation systems and the demands of modern digital administration. Overall, the study presents a validated framework that enhances the precision and depth of performance assessments, setting a benchmark for future innovations in digital management.

Keywords: Digital Administrative، Performance Measuremen، Artificial Intelligence، Confirmatory، Survey، Structural Equation، Modeling Big Data Analytics

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