THREATS AND SCIENTIFIC-METHODOLOGICAL PRINCIPLES OF ANALYZING AND MODELING THE ECONOMIC SECURITY OF AGRICULTURAL ENTERPRISES

Abstract

The article highlights and analyzes the issues of managing the economic security of enterprises and organizations. The purpose of the study is defined as the identification of threats and the generalization of scientific and methodological principles for analyzing and modeling the economic security of agricultural enterprises. An authorial classification of threats to the economic security of agricultural enterprises is proposed, which is decomposed into two components: internal and external. The specifics of the activities of different types of enterprises, including small farms and large agroholdings, are taken into account, as they influence the nature of internal and external threats. Contemporary approaches to analyzing the economic security of agricultural enterprises are generalized, including resource-functional, indicator-based, and comprehensive methods, and it is noted that a single universally recognized methodology has not yet been developed. An improved approach is proposed that combines resource-functional analysis with adaptive risk assessment, taking into account climate change, market fluctuations, technological innovations, and external threats. The main components of analyzing the economic security of agricultural enterprises are identified: resource-functional analysis by components, adaptive risk assessment, the process of implementing the analysis, and the use of IT technologies and innovations for operational response. A model has been developed that ensures comprehensive analysis of the enterprise’s condition and effective response to threats. An approach is proposed that forms an integrated system for analyzing the economic security of agricultural enterprises. The combination of the identified components allows for effective assessment of internal resources, rapid response to external changes, and ensures management flexibility in an unstable environment.