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ІНФОРМАЦІЙНО-АНАЛІТИЧНЕ ЗАБЕЗПЕЧЕННЯ УПРАВЛІННЯ ФІНАНСОВО-ЕКОНОМІЧНОЮ БЕЗПЕКОЮ СІЛЬСЬКОГОСПОДАРСЬКИХ ПІДПРИЄМСТВ НА ОСНОВІ СТРАТЕГІЇ CYBER SITUATION AWARENESS
Author(s) -
Valentyn Nekhai
Publication year - 2020
Publication title -
problemi ì perspektivi ekonomìki ta upravlìnnâ
Language(s) - English
Resource type - Journals
eISSN - 2519-4828
pISSN - 2411-5215
DOI - 10.25140/2411-5215-2020-1(21)-238-247
Subject(s) - situation awareness , process management , quality (philosophy) , risk analysis (engineering) , computer science , knowledge management , information system , situational ethics , information management , business , agriculture , automation , engineering , law , political science , aerospace engineering , mechanical engineering , ecology , biology , philosophy , electrical engineering , epistemology
The article considers the development of a model of information and analytical support for the operational management of agricultural enterprises. The main factors that impede the automation of the operational management of agricultural enterprises are identified: many specific management objects – types of crop and livestock products, an infinite number of possible situations that are characterized by unpredictability and non-determinism. It is noted that the essence of the concept of information support for the management of agricultural enterprises should be formed in accordance with the applied methods and methods of aggregating information, methods for constructing indicators and their analytical interpretation of the location in the management system, taking into account the priority and the totality of factors affecting the success of the implementation of the management decision. The new operational management paradigm can be represented as situational awareness of the internal state and the environment and an adequate response to the level of identified threat. Obviously, the use of the Cyber Situation Awareness concept is possible in the operational management of agricultural enterprises and ensuring the quality of information on the basis of which management decisions are made.

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