The interaction between rationality, politics and artificial intelligence in the decision-making process in information technology governance

Abstract

In the context of information technology governance (ITG), this study delves into the connection between political, rational and technological approaches in the decision-making process (DMP) and their influence on enterprise governance. The primary objective is to explore the interdependence of these approaches and assess their impact. The study employs a literature review that analyzes the relationship among rationality, politics, and technology, including artificial intelligence (AI), machine learning, and business intelligence. The research addresses the question of how these various techniques can be integrated into the decision-making process. It also provides a theoretical framework for implementing each of these models. The authors propose that situations involving AI, rationality, or politics are the basis for the decision-making process. After proceeding with a literature review, a correlation between the actions of certain managers who used Big Data and machine learning in their decision-making process and rationality has been found. However, the research did not find any correlation between these commitments and political models. In conclusion, this study highlights the importance of understanding the interplay between rational and political approaches in the decision-making process within ITG.