Talent Retention: Analysis of the Antecedents of Talented Employees’ Intention to Stay in the Organizations

TAHA Viktória Ali, Michaela Harničárová, Peter Korba and Veronika Škerháková

European Journal of Interdisciplinary Studies, 2022, issue 01

Abstract: Given the today’s hypercompetitive labour market and the lack of human capital and talents, which is exacerbated by the COVID-19 pandemic, retaining talented employees is a big challenge for organizations. Human resources managers generally know that recruitment of talented and high performing employees is crucial for survival and sustainable competitiveness. There is a lot of academic research and discussions on which factors are the most effective in talent retention. The aim of this study was to analyse the antecedents of talented employees’ intention to stay with the organizations with an accent on selected demographic characteristics. The research sample consisted of 391 respondents - employees who have been identified as organizational talents (possibly included in the talent pool, if such exists in the organization). Data was collected using a questionnaire which, in addition to demographic characteristics, contained statements focusing on individual aspects of remaining in the organization. One of the aims of the study is to find out the deeper connections between the examined variables - to find out how and why the variables are correlated with each other through factor analysis. In order to determine the significance of the factors, inference statistics methods such as the Bartlett’s Test of Sphericity, the Kaiser-Meyer-Olkin test and the principal component analysis (PCA) were used. The influence of significant independent variables (demographic factors - gender, age, education, position held and length of employment in the organization) on the value of extracted factors was examined by means of ANOVA (Analysis of Variance).

Keywords: human resources; talent; talented employees; talent retention; COVID19 (search for similar items in EconPapers)
JEL-codes: M12 M54 (search for similar items in EconPapers)
Date: 2022
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