How agricultural managers gain, process and use information in decision-making and problem-solving process refers to decision-making styles. A successful decision depends on the flexibility of using decision-making styles in different situations. The research paper monitors the dependence between the decision-making style of agricultural managers and their personal and working parameters. To identify the decision-making styles, the MB-type indicator (Myers-Briggs type indicator) was used. The results of non-parametric testing give proof that there is a statistically significant dependence between the type of decision problem and decision-making style, “Intuitive” and “Sensing”. Parametric test ANOVA was applied to assess potential differences in the score of decision-making style by nominal-level variables. The results gave proof of a strong statistically significant difference in score of decision-making style, “Intuitive” and “Sensing” between groups of current leading position. The difference in scoring for “Thinking” and “Feeling” as decision-making styles was confirmed to be statistically significant even in functional areas of control. Subsequently, the size of this difference was calculated.
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