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@article{1438697,
author = {Částek, Ondřej},
article_location = {Praha},
article_number = {4},
doi = {http://dx.doi.org/10.18267/j.pep.659},
keywords = {corporate financial performance; statistical pattern recognition; dependency-aware feature selection; factors of corporate performance; strategy; FDI},
language = {eng},
issn = {1210-0455},
journal = {Prague economic papers},
title = {Performance Factors of Czech Companies Identified Using Statistical Pattern Recognition: Interpretation of Results},
url = {https://www.vse.cz/pep/659},
volume = {27},
year = {2018}
}
TY - JOUR
ID - 1438697
AU - Částek, Ondřej
PY - 2018
TI - Performance Factors of Czech Companies Identified Using Statistical Pattern Recognition: Interpretation of Results
JF - Prague economic papers
VL - 27
IS - 4
SP - 397-416
EP - 397-416
PB - Oeconomica
SN - 12100455
KW - corporate financial performance
KW - statistical pattern recognition
KW - dependency-aware feature selection
KW - factors of corporate performance
KW - strategy
KW - FDI
UR - https://www.vse.cz/pep/659
N2 - The paper interprets factors of corporate performance identified by means of statistical pattern recognition techniques. A Dependency-Aware Feature algorithm with non-linear regression model ranked 74 potential factors of corporate performance according to their contribution to corporate performance prediction. This paper brings consecutive statistical analyses, which interpret the effects of Strategy, FDI, Share of Export, Top Management Performance Pay, and Workers’ Performance Pay on corporate performance. Furthermore, the analyses reveal strong mutual moderating interdependencies. On the national scale, the paper brings evidence that the companies from the industries researched can use the stational techniques to learn about corporate performance factors. On a global scale, the paper introduces the contribution of Dependency-Aware Feature selection in the field of management and confirms the need for a multidimensional contingency approach in researching corporate performance. The results are based on a sample of 432 private limited or joint stock companies located in the Czech Republic operating in the manufacturing and construction industries and employing 50 or more people.
ER -
ČÁSTEK, Ondřej. Performance Factors of Czech Companies Identified Using Statistical Pattern Recognition: Interpretation of Results. \textit{Prague economic papers}. Praha: Oeconomica, roč.~27, č.~4, s.~397-416. ISSN~1210-0455. doi:10.18267/j.pep.659. 2018.
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