Determining the factors of the employees’ intention to stay or leave in the slovak's SMES

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04130081%3A_____%2F19%3AN0000021" target="_blank" >RIV/04130081:_____/19:N0000021 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.ijek.org/index.php/IJEK/article/view/94" target="_blank" >https://www.ijek.org/index.php/IJEK/article/view/94</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Determining the factors of the employees’ intention to stay or leave in the slovak's SMES

Popis výsledku v původním jazyce

A large number of Slovak small and medium enterprises (SMEs) are confronted with often-leaving employees. This situation can have a devastating effect; thus, the ability to predict and early detect the employees' intention to stay or leave to another organisation provides them with a competitive advantage. Paper aims to determine how employer attractiveness influences the employees' intention to stay or leave to another organisation. The online questionnaire survey was conducted to collect data during the September and October 2019 among 357 Slovak SMEs' employees. The employees' values were described by EmpAt's five dimensions scale. Binary logistic regression was used to predict which employer attractiveness factor leads to an intention to stay in the organisation within the next 6 months. Results show that to the employee's decision to stay working for the organisation contribute Application Value (AV Odds Ratio=2.53), followed by Economic Value (EV Odds Ratio=2.36), Interest Value (IV Odds Ratio=2.23), and Social Value (SV Odds Ratio=1.48). We did not find statistically significant associations between Development Value (DV) and the employees' intention to stay or leave (ISL). This study makes several contributions to extant human resource management literature. First, it extends the research on employer attractiveness and employee retention. Second, it expands the knowledge about the predictors of employees' intention to stay in organisations. On the managerial level, it recommends that the employees' intent to stay or leave should be regularly measured.

Název v anglickém jazyce

Determining the factors of the employees’ intention to stay or leave in the slovak's SMES

Popis výsledku anglicky

A large number of Slovak small and medium enterprises (SMEs) are confronted with often-leaving employees. This situation can have a devastating effect; thus, the ability to predict and early detect the employees' intention to stay or leave to another organisation provides them with a competitive advantage. Paper aims to determine how employer attractiveness influences the employees' intention to stay or leave to another organisation. The online questionnaire survey was conducted to collect data during the September and October 2019 among 357 Slovak SMEs' employees. The employees' values were described by EmpAt's five dimensions scale. Binary logistic regression was used to predict which employer attractiveness factor leads to an intention to stay in the organisation within the next 6 months. Results show that to the employee's decision to stay working for the organisation contribute Application Value (AV Odds Ratio=2.53), followed by Economic Value (EV Odds Ratio=2.36), Interest Value (IV Odds Ratio=2.23), and Social Value (SV Odds Ratio=1.48). We did not find statistically significant associations between Development Value (DV) and the employees' intention to stay or leave (ISL). This study makes several contributions to extant human resource management literature. First, it extends the research on employer attractiveness and employee retention. Second, it expands the knowledge about the predictors of employees' intention to stay in organisations. On the managerial level, it recommends that the employees' intent to stay or leave should be regularly measured.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů