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Business Models of Reproduction Cycles for Digital Economy

Authors: Melnyk, Leonid Hryhorovych; Derykolenko, Oleksandr Mykolaiovych; Kubatko, Oleksandr Vasylovych; Matsenko, Oleksandr Mykhailovych;

Business Models of Reproduction Cycles for Digital Economy

Abstract

The intensive use of non-renewable resources and torn technological cycles is the cause for the total destruction of the planet’s ecosystems. The transition of production systems to renewable resources and closed circular cycles can ensure long-run sustainability of economic activities. Circular technologies as the basis of business processes guarantee sustainable transformation of the usual economy to digital one. The reproduction of economic activities in the closed integral cycle “production-interfacing-consumption-recyclingproduction” is the principal condition for the successful functioning of business processes. The scientific grounding, design and practical implementation of reproductive circular business processes create the platform for building a digital economy and ensures ecosystems sustainability. The research focuses on the modeling, design and practical implementation (introduction, testing, refinement, and adaptation to specific conditions) of reproductive circular business processes. The research models economic activity and communication of the economic agents in the main areas of the digital economy.

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Keywords

330, фазовий перехід, цифрова економіка, Digital Economy, бізнес-модель, информационный фактор, networking, фазовый переход, бизнес-модель, цифровизация, digitalization, воспроизводственный цикл, reproduction, мережевізація, informational factors, phase transition, інформаційний фактор, цифровая экономика, цифровізація, Business Model, сетевизация, відтворювальний цикл

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green