Issue |
E3S Web Conf.
Volume 285, 2021
International Conference on Advances in Agrobusiness and Biotechnology Research (ABR 2021)
|
|
---|---|---|
Article Number | 01017 | |
Number of page(s) | 9 | |
Section | Agrobusiness | |
DOI | https://doi.org/10.1051/e3sconf/202128501017 | |
Published online | 06 July 2021 |
Organizational diagnostics of the farm
1
State University of Management, 99, Ryazan Ave., 109542, Moscow, Russia
2
Kutafin Moscow State Law University (MSAL), 9, Sadovaya-Kudrinskaya str., 125993, Moscow, Russia
3
Russian University of Economics named after G. V. Plekhanov, 36, Stremyanny Lane, 117997, Moscow, Russia
4
Don State Technical University, 1, Gagarin Sq., 344003, Rostov-on-Don, Russia
* Corresponding author: katrin.alpatova@mail.ru
In this paper is transformation of traditional organizational diagnostics for the use organizations in the field of agribusiness. The transformation of the methodology is necessary due to the peculiarities of the functional zones of the farm, associated with a limited number of human resources in the state of such an organization, taking into account the fact that each unit of the state will have expanded professional competencies to overlap the functionality of the main organizational zones. The paper uses a methodology for developing diagnostic tables that reveal the degree of severity of the main characteristics with the development of an individual typology for the farm, which allows to identify the root problems of the activity; a diagnostic profile is built, the correlation of the identified problems is carried out using expert analysis. In the course of the work, six key functional zones were identified, the analysis of which allows us to diagnose the state of the farm at the current time and formulate the degree of problems and the presence of bottlenecks that require operational management influence. The algorithm developed in this paper is universal for conducting a comprehensive analysis and diagnosis of the state of farming.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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