VRBKA, Jaromír. The use of neural networks to determine value based drivers for SMEs operating in the rural areas of the Czech Republic. Oeconomia Copernicana. Olsztyn, Poland: Instytut Badań Gospodarczych, 2020, vol. 11, No 2, p. 325-346. ISSN 2083-1277. Available from: https://dx.doi.org/10.24136/OC.2020.014. |
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@article{55121, author = {Vrbka, Jaromír}, article_location = {Olsztyn, Poland}, article_number = {2}, doi = {http://dx.doi.org/10.24136/OC.2020.014}, keywords = {business value drivers; value based drivers; small and medium-sized enterprises; rural area; ultimate goal; economic value added; neural networks}, language = {eng}, issn = {2083-1277}, journal = {Oeconomia Copernicana}, title = {The use of neural networks to determine value based drivers for SMEs operating in the rural areas of the Czech Republic}, url = {http://economic-research.pl/Journals/index.php/oc/article/view/1788}, volume = {11}, year = {2020} }
TY - JOUR ID - 55121 AU - Vrbka, Jaromír PY - 2020 TI - The use of neural networks to determine value based drivers for SMEs operating in the rural areas of the Czech Republic JF - Oeconomia Copernicana VL - 11 IS - 2 SP - 325-346 EP - 325-346 PB - Instytut Badań Gospodarczych SN - 20831277 KW - business value drivers KW - value based drivers KW - small and medium-sized enterprises KW - rural area KW - ultimate goal KW - economic value added KW - neural networks UR - http://economic-research.pl/Journals/index.php/oc/article/view/1788 L2 - http://economic-research.pl/Journals/index.php/oc/article/view/1788 N2 - The objective of the contribution is to determine through the use of artificial neural networks the relationship between business value drivers, or value based drivers (VBD), and EVA Equity, which is economic value added (EVA), of small and medium-sized enterprises operating in the rural areas of the Czech Republic. ER -
VRBKA, Jaromír. The use of neural networks to determine value based drivers for SMEs operating in the rural areas of the Czech Republic. \textit{Oeconomia Copernicana}. Olsztyn, Poland: Instytut Bada\'n Gospodarczych, 2020, vol.~11, No~2, p.~325-346. ISSN~2083-1277. Available from: https://dx.doi.org/10.24136/OC.2020.014.
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