@misc{Gorlov_Ivan_F._A_2022,
 author={Gorlov, Ivan F. and Slozhenkina, Marina I. and Kholodov, Oleg A. and Kholodova, Marina A. and Shakhbazova, Olga P. and Mosolova, Daria A. and Poorghasemi, Mohammadreza and Seidavi, Alireza},
 identifier={DOI: 10.15611/aoe.2022.2.11},
 year={2022},
 rights={Pewne prawa zastrzeżone na rzecz Autorów i Wydawcy},
 publisher={Publishing House of Wroclaw University of Economics and Business},
 description={Argumenta Oeconomica, 2022, Nr 2 (49), s. 219-239},
 language={eng},
 abstract={This article presents different models useful in identifying the potential for enhancing the performance of agricultural enterprises of various business forms and scales. A clustering method developed by the authors was used to calculate an integral indicator of the development potential of agricultural enterprises within larger organizational and legal units. The model allows enterprises of all structures/scales to emphasize different performance indicators of interest. Moreover, distinctive characteristics of the performance growth potential of various business forms were revealed.},
 title={A novel method to determine the growth potential of agricultural enterprises in various business plans},
 type={artykuł},
 keywords={agricultural production, algorithm, bussiness development, cluster analysis},
}