Predictive HR Analytics: Case of Employee Turnover

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F19%3A10243066" target="_blank" >RIV/61989100:27510/19:10243066 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Predictive HR Analytics: Case of Employee Turnover
Original language description
Human resource management is one of the most important elements within organization's decision processing and represents strategic approach to the effective management of people in an organization. Human resource management decisions are becoming more frequently based on data which is the area of human resources analytics. This paper presents a quantitative approach of human resources analytics to solve organization's problem with employee turnover using multivariate logistic regression analysis. In the current conditions of the Czech labour market, both private and public organizations are experiencing high undesirable employee turnover with increasing trend. Estimated predictive model of the risk of undesirable employee fluctuation is verified on the actual data from Q1 2019. The possibilities and advantages of practical application of the HR analytics approach to employee turnover are discussed.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Financial Management of Firms and Financial Institutions : 12th international scientific conference : proceedings : 3rd September, Ostrava, Czech Republic
ISBN
978-80-248-4344-5
ISSN
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e-ISSN
2336-162X
Number of pages
9
Pages from-to
144-151
Publisher name
VŠB - Technical University of Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Sep 3, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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