Statistical Methods Use in Small Enterprises: Relation to Performance

Ksenija Dumicic, Bregar Lea () and Žmuk Berislav ()
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Bregar Lea: Faculty of Economics, University of Ljubljana, Slovenia
Žmuk Berislav: Faculty of Economics and Business, University of Zagreb, Zagreb, Croatia

Business Systems Research, 2014, vol. 5, issue 3, 37-48

Abstract: Background: There are several factors that lead to an improved level of competitiveness and increased net income of enterprises. Previous studies have shown that an appropriate use of statistical methods has positive effects on the level of competitiveness and on enterprises’ net income in general. Objectives: This study analyses the statistical methods use in Croatian small enterprises. The goal of this research is to establish whether most Croatian small enterprises use statistical methods and whether the enterprises that use statistical methods on average have greater net income than the enterprises that do not use statistical methods. Methods/Approach: A web survey was conducted on the sample of 631 small enterprises in Croatia in 2012. In the analysis a complex survey design was taken into account. Results: The results have shown that in most Croatian small enterprises statistical methods are not used. The enterprises that use statistical methods on average have greater net income than the enterprises that do not use them. Conclusions: The results suggest that even though the use of statistical methods in small enterprises leads to higher net income, they are not used in the majority of Croatian small enterprises. If Croatian small enterprises want to succeed on the demanding European Union’s market they should consider using statistical methods in their business.

Keywords: small enterprises; statistical methods use; logistic regression; complex survey design; net income; Croatia (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:bit:bsrysr:v:5:y:2014:i:3:p:37-48

DOI: 10.2478/bsrj-2014-0018

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