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

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...

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Main Authors:	Bilandžić Ana, Marina Jeger, Šarlija Nataša
Format:	Article
Language:	English
Published:	Sciendo 2016-09-01
Series:	Business Systems Research
Subjects:	factor analysis logistic regression interpretability growth prediction model c53 c55
Online Access:	https://doi.org/10.1515/bsrj-2016-0010

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record_format	Article
spelling	doaj-0b86758a25f345bd8bc22c6732e2a32d2021-09-05T20:42:40ZengSciendoBusiness Systems Research1847-93752016-09-0172233410.1515/bsrj-2016-0010bsrj-2016-0010Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis ApproachBilandžić Ana0Marina Jeger1Šarlija Nataša2Faculty of Economics in Osijek, J.J. Strossmayer University of Osijek, CroatiaFaculty of Economics in Osijek, J.J. Strossmayer University of Osijek, CroatiaFaculty of Economics in Osijek, J.J. Strossmayer University of Osijek, CroatiaBackground: 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.https://doi.org/10.1515/bsrj-2016-0010factor analysislogistic regressioninterpretabilitygrowth prediction modelc53c55
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Bilandžić Ana Marina Jeger Šarlija Nataša
spellingShingle	Bilandžić Ana Marina Jeger Šarlija Nataša Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach Business Systems Research factor analysis logistic regression interpretability growth prediction model c53 c55
author_facet	Bilandžić Ana Marina Jeger Šarlija Nataša
author_sort	Bilandžić Ana
title	Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach
title_short	Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach
title_full	Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach
title_fullStr	Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach
title_full_unstemmed	Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach
title_sort	dealing with interpretability issues in predicting firm growth: factor analysis approach
publisher	Sciendo
series	Business Systems Research
issn	1847-9375
publishDate	2016-09-01
description	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.
topic	factor analysis logistic regression interpretability growth prediction model c53 c55
url	https://doi.org/10.1515/bsrj-2016-0010
work_keys_str_mv	AT bilandzicana dealingwithinterpretabilityissuesinpredictingfirmgrowthfactoranalysisapproach AT marinajeger dealingwithinterpretabilityissuesinpredictingfirmgrowthfactoranalysisapproach AT sarlijanatasa dealingwithinterpretabilityissuesinpredictingfirmgrowthfactoranalysisapproach
_version_	1717785264236003328

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

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