The use of artificial intelligence in organizational decision support systems: Design and implementation

It is critical for companies to make quick and accurate decisions. While making decisions that contain uncertainty in their results, managers use information from integrated data systems that make up their organization and their memory. Modeling and presenting the past information to managers and manipulating them with their opinions is possible with decision support systems. The aim of this thesis is to investigate the applicability of artificial intelligence in corporate decision support systems. In line with this purpose, firstly, the definition of artificial intelligence, its development over time, its use in organizational decision support systems, and finally, the applicability of the thesis advocated with an exemplary design and application is explained in the ordinary course of life. In this research, it is planned that a model based and artificial intelligence expert system supported decision support system is needed for middle level managers to benefit from making tactical and uncertain decisions. It has been demonstrated with an exemplary design and application to the extent that the benefits of processed information with artificial intelligence and organizational decision support systems will benefit information-based and model-oriented decision-making processes.