Methodological Approach to the Evaluation of Agricultural Business System Flexibility

Abstract

Agricultural business depends not only on financial and economic factors, but also on natural and climatic conditions, which necessitates continuous development, which is based on adaptation to unpredictable and random conditions of the internal and external environment. The goal is to develop a methodological approach to assessing agricultural business system flexibility, which will provide an opportunity to study the ability of agricultural producers of various sizes to adapt to unpredictable changes, taking into account the internal and external environment. On the basis of a comparative analysis of modern approaches to the definition of flexibility, a definition of the concept of "flexibility of business systems" is proposed. The method of evaluation of agricultural business system flexibility has been developed that includes operational, structural, and strategic flexibility.

The relevance of this article is due to the need to form and develop algorithmic thinking of higher education students as the main requirement of the information society following 21st century skills and competences for new millennium learners. The purpose of the article is to consider algorithmic thinking as a new dimension of learning in higher education. The leading approach to the study of this problem is the analysis of methodological literature, and the experience of students, teachers, and academic

“…Kovalchuk (2018), which claims that the algorithmic thinking is an integrated complex that includes other types of thinking: abstract thinkingto discard insignificant details in creating a general image of the problem, and logical thinkingto determine the sequence of actions needed to solve this problem. Partially agreeing with the author, we should note that algorithmic thinking, in our opinion, is impossible without other types of thinking, for examplefigurative thinking, which is necessary to create a general image of the problem and separate it into small subtasks (Skydan et al, 2019;Golub et al, 2019).…”

Ensuring Food Security of Ukraine in the Conditions of Globalization Dimensions

“…An example of this type of sub-indicator is the self-sufficiency coefficients, which are calculated as the ratio of production to consumption and should be as close as possible to each other. That is, the analysis of food security involves the definition of indicators that quantify the processes and phenomena that shape it, as well as the calculation of standards (normative values) of food safety indicators that reflect the discrepancy between actual and desired values (Skydan et al, 2019).…”

Development of Scientific and Methodical Competence of Teachers of Vocational Education Institutions

“…During the research it is found out that the professional and practical and professional and technological components of special competence are realized at the level of the following professional functions of the teacher of vocational education institution: scientific and adaptive function (the ability to identify contradictions in the development of phenomena and processes, formulate problems, generate ideas and hypotheses for solving problematic training and production situations, receive and present the results of scientific and methodical activities); engineering and technical function (ability to design and construct products, adjustment and repair of equipment, mastery of methods of innovation and inventive activity); information and design function (possession of information technologies, the ability to develop educational software (software product) in the organization the training of the profession, knowledge of software design methods) (Vinichenko et al, 2018c;Skydan et al, 2019;Golub et al 2020).…”