The Use of Intelligent Robots and Automation Technologies to Improve Data Management and Organization Processes in Administrative Information Systems | ||||
| Benha Journal of Applied Sciences | ||||
| Volume 9, Issue 5, May 2024, Page 253-279 PDF (954.6 K) | ||||
| Document Type: Original Research Papers | ||||
| DOI: 10.21608/bjas.2025.352394.1571 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Ghada Oraif 
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| College of Business, King Abdulaziz University | ||||
| Abstract | ||||
| This study explores the role of smart robots and automation technologies in enhancing data management and organization processes within administrative information systems. The primary objective is to examine how these advanced technologies improve operational efficiency and support decision-making. Using an analytical descriptive approach, the study integrates both secondary data from academic literature and primary data collected through surveys targeting 312 professionals in administrative information systems in Egypt. The results demonstrate that smart robots and automation technologies significantly enhance data processes. Automation technologies had the highest impact on improving data management efficiency (β = 0.434, p < 0.01), while intelligent robots were shown to substantially enhance data organization (β = 0.447, p < 0.01). The findings highlight the potential of these technologies in streamlining administrative tasks, reducing errors, and providing real-time access to organized data. The study concludes by emphasizing the importance of adopting advanced tools and techniques to optimize data management and organization. It provides actionable recommendations, including investing in automation infrastructure, training staff on robotics systems, and fostering research and development in smart technologies. These findings offer practical insights for organizations seeking to leverage artificial intelligence to improve administrative performance and decision-making capabilities. | ||||
| Keywords | ||||
| Intelligent Robots; Automation Technologies; Data Management; Organization Processes; Administrative Information Systems | ||||
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