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Title: Predictive modelling of economic safety on the example of ecosystem of small and medium-sized business

Authors: Marina Vlasova; Inna Kruglova; Andrey Khlutkov; Olga Stepchenkova

Addresses: ANO HE International Banking Institute, Nevsky av. 60, 191023, Saint-Petersburg, Russia; ITMO University, Kronverkskiy av. 49, 197101, Saint-Petersburg, Russia ' ANO HE International Banking Institute, Nevsky av. 60, 191023, Saint-Petersburg, Russia; ITMO University, Kronverkskiy av. 49, 197101, Saint-Petersburg, Russia ' ANO HE International Banking Institute, Nevsky av. 60, 191023, Saint-Petersburg, Russia; ITMO University, Kronverkskiy av. 49, 197101, Saint-Petersburg, Russia ' ANO HE International Banking Institute, Nevsky av. 60, 191023, Saint-Petersburg, Russia; ITMO University, Kronverkskiy av. 49, 197101, Saint-Petersburg, Russia

Abstract: The article examines the problems of monitoring the activities of small and medium-sized businesses in the framework of ensuring the economic security of the Russian Federation. The lack of economic information on the activities of small and medium-sized businesses hinders a competent assessment of the effectiveness of state support programs for business and the development of entrepreneurial ecosystems. The authors propose to use methods of predictive modelling to improve the economic security of the state and create effective innovative business ecosystems.

Keywords: economic security; predictive modelling; small and medium business; entrepreneurial ecosystem; economic safety; security management; security monitoring; economic threat; big data.

DOI: 10.1504/IJRAM.2020.106160

International Journal of Risk Assessment and Management, 2020 Vol.23 No.1, pp.4 - 13

Received: 20 Aug 2018
Accepted: 30 Mar 2019

Published online: 25 Mar 2020 *

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