Ecosystems and Their Digital Models as Factors of Algocognitive Culture and Transition to New Technological Order

Vasilii V. Kuimov, Konstantin V. Simonov, Eva V. Shcherbenko () and Liudmila V. Iushkova
Additional contact information
Vasilii V. Kuimov: Institute of Trade and Services, Siberian Federal University, Svobodny pr., 79, 660041 Krasnoyarsk, Russia
Konstantin V. Simonov: Institute of Computational Modeling SB RAS, Akademgorodok, 50, h. 44, 660036 Krasnoyarsk, Russia
Eva V. Shcherbenko: Institute of Trade and Services, Siberian Federal University, Svobodny pr., 79, 660041 Krasnoyarsk, Russia
Liudmila V. Iushkova: Siberian Fire and Rescue Academy of State Fire Service of the Ministry of Emergency Situations of Russia, Severnay 1, 662972 Zheleznogorsk, Russia

Social Sciences, 2023, vol. 12, issue 4, 1-11

Abstract: In the paradigm of dissipative structures based on theories of economic and regional development, business networks, and the theory of algocognitive culture, the authors studied the processes of the formation of ecosystem formats for business development in the region as the core of a new technological paradigm. The research aimed to identify the relationship between current development formats in digital transformation with the basic foundations of business ecosystems and the possibility and willingness to use ESG principles and network practices to replicate cognitive forms of human brain hypernetworks. In this research, the authors used the methods of systemic and comparative analysis, grouping, and generalization including the authors’ practices of functional environmental analysis. As a result, the primary trends showed cooperative-network multi-level formats of interaction between business partners in the space of value formation, the development of the business ecosystem environment of the regional economy, and guidelines for the development of service practices. The new ecosystem formats implemented in the economy are considered as a manifestation of the patterns of dissipative structures and new realities of algocognitive culture including the formation of algorithmic thinking of a contemporary person. The compliance of the development of mass businesses in the region with the primary basic characteristics of ecosystems and their active use of basic digital technologies in business processes is shown. The authors revealed the readiness and need for the development of the economy of the region in the formats of ecosystems and a sufficient degree of development of this kind of format by various businesses of the territory. The possibility and necessity of using digital models of business ecosystems were established and the primary hypothesis of the research was confirmed, which forms the assumption about the active development of modern formats of interactions in the environment of small and medium-sized businesses and their cooperative associations. It provides a basis for the proposal and development of digital models of such interactions, which should significantly increase the effectiveness and speed of qualitative changes in the transition to a new technological way of life.

Keywords: ecosystems; cooperative network interactions; digital models of business ecosystems; hypernetwork; algocognitive culture (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2076-0760/12/4/197/pdf (application/pdf)
https://www.mdpi.com/2076-0760/12/4/197/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jscscx:v:12:y:2023:i:4:p:197-:d:1107361

Access Statistics for this article

Social Sciences is currently edited by Ms. Yvonne Chu

More articles in Social Sciences from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().