دور الذكاء الاصطناعي في دعم عملية اتخاذ القرار بالمؤسسات

Abstract

This study aims to design and implement an intelligent agent based on artificial intelligence and open-source large language models to enhance competitive environment analysis and support decision-making in an Algerian enterprise. The study adopted a descriptive analytical approach to build the theoretical framework, and an applied approach to design and test the intelligent agent at RAYA Group. Data were collected using two questionnaires (diagnostic and evaluative) from 61 executives and managers across various directorates of the group, and analyzed using Wilcoxon and Spearman tests. The results revealed that the enterprise faces significant challenges with traditional analysis despite having acceptable data availability, and possesses high organizational readiness to adopt AI. The intelligent agent proved its effectiveness in improving competitive data quality, developing monitoring and analysis processes, and overcoming the limitations of traditional methods. It also contributed to enhancing the accuracy of competitive information, accelerating response to changes, and promoting decision proactiveness. The study recommends generalizing the use of the intelligent agent, developing digital infrastructure, training human resources, and establishing a clear regulatory framework to support AI adoption in Algerian enterprises.