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2022, iss. 47, pp. 97-115
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Analysis of efficiency factors of companies in Serbia based on artificial neural networks
Analiza faktora efikasnosti preduzeća u Srbiji na bazi veštačkih neuronskih mreža
Abstract
This paper investigates the influence of certain factors on the efficiency of companies in Serbia using artificial neural networks. According to the results of empirical research using artificial neural networks, the significance of some observed factors on the efficiency of companies in Serbia is as follows: net profit 55.5%, operating revenues 59.4%, operating assets 52.8%, capital 59.6 %, loss 100% and number of employees 51.3%. In order to improve the efficiency of companies in Serbia in the future, it is necessary, in the first place, to manage profits as efficiently as possible (i.e. to reduce losses as much as possible). This is also achieved with the most efficient management of sales, assets, capital and human resources (training, rewarding, job advancement, and flexible employment). Accelerated digitalization of the entire business certainly plays a significant role in that.
Sažetak
U ovom radu se istražuje uticaj pojedinih faktora na efikasnost preduzeća u Srbiji korišćenjem večtačkih neuronskih mreža. Prema dobijenim rezultatima empirijskog istraživanja korišćenjem veštačkih neuronskih mreža značaj pojedinih posmatranih faktora na efikasnost preduzeća u Srbiji je sledeći: neto dobitak 55.5%, poslovni prihodi 59.4%, poslovna imovina 52.8%, kapital 59.6%, gubitak 100% i broj zaposlenih 51.3%. U cilju poboljšanja efikasnosti preduzeća u Srbiji u budućnosti neophodno je, na prvom mestu, što efikasnije upravljati profitom (tj. u što većoj meri smanjiti gubitak). To se postiže, isto tako, i sa što efikasnijim upravljanjem prodajom, aktivom, kapitalom i ljudskim resursama (trening, nagrađivanje, napredovanje na poslu, fleksibilno I zapošljavanje). Značajnu ulogu u tome ima svakako i ubrzana digitalizacija celokupnog poslovanja.
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