Artikel

Megapolis as a symbiosis of socio-economic ecosystems: The role of collaboration

In recent years, smart and ecological urbanism and transformations into the new models of city making have become a global mainstream. These are models of the smart city, the eco-city, and the eco-megacity. The article proposes a conceptual approach to the formation of the eco-megacity as a qualitatively new phenomenon in the post-industrial economy. The prerequisites for the transformation of a megapolis into an eco-megacity have been analyzed. The key characteristics of the new phenomenon have been revealed. The role of collaboration as the main factor in increasing the efficiency of interaction processes between ecosystem actors and between ecosystems themselves has been presented. The relationship of the formed ecosystem approaches and the groups of actors during implementation of an institutional project in the megapolis have been determined. It allows for the transformation of a megapolis into an eco-megacity. The ant colony optimization algorithm for studying the symbiosis of socio-economic ecosystems in the megapolis has been proposed. The authors have attempted to contribute to the development of theoretical and methodological aspects of the emerging eco-megacity concept as a new phenomenon of the modern economy.

Sprache
Englisch

Erschienen in
Journal: Journal of Open Innovation: Technology, Market, and Complexity ; ISSN: 2199-8531 ; Volume: 8 ; Year: 2022 ; Issue: 3 ; Pages: 1-29

Klassifikation
Management
Thema
ant algorithm
collaboration process
eco-megacity
ecosystem approach
institutional approach
megapolis transformation
symbiosis

Ereignis
Geistige Schöpfung
(wer)
Tolstykh, Tatyana Olegovna
Gamidullaeva, Leyla Ayvarovna
Shmeleva, Nadezhda
Gromov, Sergey
Ermolenko, Alexander
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2022

DOI
doi:10.3390/joitmc8030126
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Tolstykh, Tatyana Olegovna
  • Gamidullaeva, Leyla Ayvarovna
  • Shmeleva, Nadezhda
  • Gromov, Sergey
  • Ermolenko, Alexander
  • MDPI

Entstanden

  • 2022

Ähnliche Objekte (12)