Knowledge management is considered one of the strategic tools in modern organizations as it contributes to improving performance, increasing competitiveness, improving planning processes, and identifying opportunities and risks, which enables the organization to respond quickly to changes and make flexible and innovative decisions. The impact of knowledge management on administrative decision-making is that knowledge management plays a fundamental role in improving the quality and efficiency of decisions. Our research aimed to identify performance trends related to knowledge management processes and decision-making processes, as well as to identify knowledge management elements and variables that affect decision-making and arrange them according to their importance and exclude unimportant variables by building an efficient statistical model. The application was carried out on a sample of (100) observations, from which data was collected by means of a questionnaire prepared for this purpose, and the analysis was carried out in two directions: the first is descriptive by applying Likert scale to know the sample’s trends, and the second is analytical by building a binary logistic model that includes, in addition to the dependent variable, five independent variables with a significant impact and (11) independent variables with a non-significant impact, as the model that was built has the ability to correctly classify by (91%).