Network intelligence is a significant aspect, that is, a significant component of the overall human intelligence, which refers to the ability to navigate in a networked society, based on all types of relationships and relations that are expressed in digital form in contemporary society. In this context, we can consider the concept of network intelligence as a framework in which it is possible to understand and solve many business problems in a different way, and to explore it in more detail as an important tool for making better business decisions. The aim of this paper is to investigate to what extent certain elements (components), which are an integral part of network intelligence, influence the success of a business decision in the managerial decision-making process. For the purposes of this research, due to the inability to comprehensively measure the notion of "success of a business decision", under this concept we will only imply an integral element of that term, that is, the functionality of the decision. The research methodology is the application of an inductive method of constructing an expert system, that is, a knowledge based system (Doctus Knowledge Based System Shell ) or a conclusion on the degree of informativeness (decisive influence on decision functionality) of individual components of network intelligence based on individual cases of specific business decisions (Case Based Reasoning). This work is an attempt to, with the help of the inductive module shell of the Expert System Doctus, come up with new knoledge which will outline, from the set of components of the network intelligence, those that significantly influence (which are the components with a higher degree of informativity) on the success of business decision, and that in the future research more attention is paid to the impact of these components on decision making quality, which in addition to quality will contribute to the simplicity and speed of making a concrete business decision. [ABSTRACT FROM AUTHOR]
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