DETERMINING THE FACTORS OF THE EMPLOYEES’ INTENTION TO STAY OR LEAVE IN THE SLOVAK'S SMES

Rozsa, Z., Formánek, I., Maňák, R. (2019). Determining the factors of the employees’ intention to stay or leave in the Slovak's SMEs. International Journal of Entrepreneurial Knowledge, 7(2), 63-72. doi:10.12345-0011

  • Zoltan Rozsa Alexander Dubček University of Trenčín, Faculty of Social and Economic Relations, Trencin, Slovak Republic
  • Ivo Formánek University of Entrepreneurship and Law, Prague, Czech Republic
  • Radim Maňák University of Entrepreneurship and Law, Prague, Czech Republic
DOI: https://doi.org/10.37335/ijek.v7i2.94
Keywords: employer attractiveness, retention, prediction, SMEs

Abstract

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.

Published
2019-12-31
Issue
Vol. 7 No. 2 (2019): Issue 2/2019, Volume 7
Section
Research

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