Modeling and forecasting development trends for crowd-funding services in Russia

International Scientific Conference "Digital Transformation on Manufacturing, Infrastructure and Service"

Daryakin, Adel^1 ; Ajupov, Aydar^1 ; Ahmadullina, Aliya^1 ; Potapova, Ekaterina^1

Kazan (Volga) Federal University, Kremlyovskaya str., 18, Kazan

420008, Russia^1

关键词: Development trends;    Driving forces;    Economic crisis;    Modeling and forecasting;    Scale-up;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/497/1/012067/pdf
DOI  :  10.1088/1757-899X/497/1/012067

来源: IOP

【 摘 要 】

Development of alternative methods of investing, in particular, crowd-funding and its different types, is, without any doubt, an international driving force of entrepreneurship which Russia can't ignore anymore and lose advantages from their implementation. The issue of development of crowd-funding services in Russia is considered in the article. Directions for developing crowd-funding, forecasting of the volume of the crowd-funding services market are presented in the article on the basis of correlation-regression analysis, also well-known platforms for crowd-funding are considered there. As a result of the analysis it is getting obvious that further such trends will gain momentum and scale out. Crowd-funding in Russia has already overcome the threshold of establishing and, for the moment, active growth is observed which doesn't stop even during the economic crisis. Therefore, the state can't ignore it anymore and that is why it actively tries to incorporate into this market. Not only as the main observer but the main regulator of crowd-funding relations. As crowd-funding in Russia is a relatively young phenomenon, ecosystem is not completely formed up in it. Thus, the authors note that crowd-funding is getting more interesting not only for young businessmen, startups and representatives of the state level, but it also arouses great interest in representatives of large brands. Further, such trends will only gain momentum and scale up.