How Management Information Systems Transform Decision Making and Organizational Performance: From Traditional Systems to AI Enhanced Management

Abstract

This article analyses how Management Information Systems transform managerial decision making and organizational performance, from traditional systems to modern integrated and AI enhanced systems. The paper uses a qualitative conceptual methodology based on secondary sources, including specialized books, scientific articles, systematic literature reviews and institutional reports. The analysis shows that traditional information systems mainly supported recording and reporting activities, while modern systems such as ERP, CRM, BI and DSS improve coordination, customer management, performance evaluation and decision support. The integration of AI adds predictive, automation and recommendation capabilities, but also creates new challenges related to data quality, employee acceptance, ethics, privacy, security and managerial responsibility. The main contribution of the article is the conceptual distinction between three managerial roles: manager as controller of information, manager as coordinator of integrated data and manager as critical evaluator of AI supported decisions. The paper concludes that MIS strengthen management, but do not replace human judgement.