CURRENT-CONSEQUENCES OF EXISTENCE ARE PREVENTING THE ACTIVITIES OF A SMALL ENTERPRISE IN THE PROCESS OF SUBJECT-RELATED RELATIONS
Abstract
The article is devoted to the study of the connection between existing obstacles to the development of small business entities and the specificity of their subjective relationships. The article summarizes the views of scientists on actual problems in the sphere of small business, which hinders business conduct and is a barrier for further development. The analysis of tendencies of changes in the expert assessment of obstacles to the development of small business in Ukraine in 2016-2018 has been carried out. It is established that despite of certain tendencies of structural changes, in general, the list of the main obstacles hindering the development of small business in recent years does not change its gradation. In particular, the problem of low demand, shortage of working capital, competition and tax burden has the greatest importance. The matrix of integration of obstacles to the development of small business with the subjects of mutual relations was constructed, the visualization of which allowed to establish the uneven impact of the subjects on the formation and overcoming of existing barriers of small business. The relevance of using neural networks in the conducted gradation of the subjects influence on the creation and overcoming of identified obstacles is determined. The subjects are classified into 4 groups according to the importance of each one's influence. It is proved that owners, investment and credit institutions, state and international organizations and governments have the greatest impact on the development of small businesses. It is determined that the obtained results are the basis for constructing a scientific and methodological structure of the study of the process of ensuring the development of small business, since it allows us to determine the vectority of research.
References
. Balatskyi I., Strilec V., Frolov S. (2017). Foresight technologies in financial provision of small business in Ukraine. Problems and Perspectives in Management, 15(1–1), 200–209. Retrieved from: http://dx.doi.org/10.21511/ppm.15(1-1).2017.07 (accessed 10 January 2019).
2. Botsora L.O. (2015). Finansovyi mekhanizm rozvytku maloho pidpryiemnytstva v Ukraini [Financial mechanism of small business development in Ukraine]. Avtoref. dys. ... kand. ekon. nauk : 08.00.08. Lviv. [in Ukrainian]
3. Dombrovskyi V.S. (2006). Finansove zabezpechennia funktsionuvannia i rozvytku subiektiv pidpryiemnytstva maloho biznesu na rehionalnomu rivni [Financial support to the functioning and development of small business enterprises at the regional level]. Dys. ... kand. ekon. nauk : 08.04.01. Sumy. [in Ukrainian]
4. Yepifanova M.I., Makovetska O.A. (2009). Osnovni aspekty rozvytku maloho biznesu v Ukraini [The main aspects of small business development in Ukraine]. No 1(31), pp. 211–215. [in Ukrainian]
5. Kvartalnyi monitorynh pereshkod u rozvytku MSP. Informatsiinyi biuleten USAID. 2018, no 9. P. 11. Retrieved from: http://www.ier.com.ua/ua/sme_development/Newsletters_LEV?pid=5965 (accessed 10 January 2019).
6. Kurnikov D.S., Petrov S.A. (2017). Icpolzovanie neyronnyih setey v ekonomike [Using neural networks in the economy]. Juvenis scientia, 6, 10–12. [in Russian]
7. Siedaia A.V. (2011). Neironni merezhi yak zasib doslidzhennia finansovoi diialnosti avtotransportnykh pidpryiemstv [Neural networks as a means of studying the financial activity of motor transport enterprises]. Zbirnyk naukovykh prats NTU, 24(1), 389–392. [in Ukrainian]
8. Tymchenko O.I. (2015). Problemy ta perspektyvy rozvytku maloho pidpryiemnytstva [Problems and prospects of small business development]. Efektyvna ekonomika, 6. Retrieved from: http://www.economy.nayka.com.ua/?op=1&z=4135 03.07.2016 (accessed 10 January 2019).
9. Feshchenko S.S. (2014). Suchasni problemy rozvytku biznesu v Ukraini [Modern problems of business development in Ukraine]. Upravlinnia rozvytkom, 2, 13–16. [in Ukrainian]
10. Kharynovych-Yavorska D.O. (2017). Zastosuvannia neiromerezhevykh tekhnolohii dlia prohnozuvannia konkurentnoi stratehii torhovelnykh pidpryiemstv [Application of neural network technologies for forecasting of competitive strategy of trading enterprises]. Internauka. Seriya «Ekonomicheskie nauki», 2(2), 25–30. [in Ukrainian]