hrcak mascot   Srce   HID

Izvorni znanstveni članak
https://doi.org/10.1515/bsrj-2016-0010

Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach

Ana Bilandžić ; Faculty of Economics in Osijek, J.J. Strossmayer University of Osijek, Croatia
Marina Jeger   ORCID icon orcid.org/0000-0002-3835-6358 ; Faculty of Economics in Osijek, J.J. Strossmayer University of Osijek, Croatia
Nataša Šarlija ; Faculty of Economics in Osijek, J.J. Strossmayer University of Osijek, Croatia

Puni tekst: engleski, pdf (525 KB) str. 23-34 preuzimanja: 434* citiraj
APA 6th Edition
Bilandžić, A., Jeger, M. i Šarlija, N. (2016). Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach. Business Systems Research, 7 (2), 23-34. https://doi.org/10.1515/bsrj-2016-0010
MLA 8th Edition
Bilandžić, Ana, et al. "Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach." Business Systems Research, vol. 7, br. 2, 2016, str. 23-34. https://doi.org/10.1515/bsrj-2016-0010. Citirano 31.05.2020.
Chicago 17th Edition
Bilandžić, Ana, Marina Jeger i Nataša Šarlija. "Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach." Business Systems Research 7, br. 2 (2016): 23-34. https://doi.org/10.1515/bsrj-2016-0010
Harvard
Bilandžić, A., Jeger, M., i Šarlija, N. (2016). 'Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach', Business Systems Research, 7(2), str. 23-34. https://doi.org/10.1515/bsrj-2016-0010
Vancouver
Bilandžić A, Jeger M, Šarlija N. Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach. Business Systems Research [Internet]. 2016 [pristupljeno 31.05.2020.];7(2):23-34. https://doi.org/10.1515/bsrj-2016-0010
IEEE
A. Bilandžić, M. Jeger i N. Šarlija, "Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach", Business Systems Research, vol.7, br. 2, str. 23-34, 2016. [Online]. https://doi.org/10.1515/bsrj-2016-0010

Sažetak
Background: Alongside the theoretical progress made in understanding the factors that influence firm growth, many methodological challenges are yet to be overcome. Authors point to the notion of interpretability of growth prediction models as an important prerequisite for further advancement of the field as well as enhancement of models’ practical values. Objectives: The objective of this study is to demonstrate the application of factor analysis for the purpose of increasing overall interpretability of the logistic regression model. The comprehensive nature of the growth phenomenon implies propensity of input data to be mutually correlated. In such situations, growth prediction models can demonstrate adequate predictability and accuracy, but still lack the clarity and theoretical soundness in their structure. Methods/Approach: The paper juxtaposes two prediction models: the first one is built using solely the logistic regression procedure, while the second one includes factor analysis prior to development of a logistic regression model. Results: Factor analysis enables researchers to mitigate inconsistencies and misalignments with a theoretical background in growth prediction models. Conclusions: Incorporating factor analysis as a step preceding the building of a regression model allows researchers to lessen model interpretability issues and create a model that is easier to understand, explain and apply in real-life business situations.

Ključne riječi
factor analysis; logistic regression; interpretability; growth prediction model

Hrčak ID: 166321

URI
https://hrcak.srce.hr/166321

Posjeta: 597 *