Issue |
BIO Web Conf.
Volume 130, 2024
International Scientific Conference on Biotechnology and Food Technology (BFT-2024)
|
|
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Article Number | 08015 | |
Number of page(s) | 7 | |
Section | Food and Agriculture Organization | |
DOI | https://doi.org/10.1051/bioconf/202413008015 | |
Published online | 09 October 2024 |
Business ecosystem formation ontological mechanism
Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences, Vavilova 44-2, 119333, Moscow, Russia
* Corresponding author: dommed@mail.ru
The goal of the work is to develop a scientifically based ontological mechanism for the formation of business ecosystems, the terminology of which has emerged as a result of the manifested basic principles of digital transformation of the economy, science and education. It is shown that these principles make it possible to determine the mutual influence of many more factors in the planning and management of business, including scientific and educational. In other words, there was an order to study both classical agricultural ecosystems and the transfer of natural ecosystem mechanisms to the functioning of economic systems, which, together with the possibility of integrating environmental factors and taking into account their interrelationships in a digital economy, led to the emergence of such research areas in the field of ecosystems as business ecosystems. The above principles have led to the development of mechanisms for the integration of information resources not only within one industry, but also in most related industries, for which ontological modeling of their subject spaces should be carried out, the conceptual description of which has become significantly different over the years. Research in this area has been carried out using agriculture as an example, since it is one of the most powerful ecosystems in the classical sense and is closely related to a large number of other industries.
© The Authors, published by EDP Sciences, 2024
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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