Strategic Talent Management as a Driver of Quality, Innovation, and Competitiveness in Industrial Enterprises

Purpose: The aim of this paper is to analyse the role of strategic talent management as a critical factor in enhancing and maintaining organisational competitiveness. Methodology/Approach: The methodology integrated both quantitative analyses, including descriptive statistics, Pearson's Chi-square test, Spearman's correlation coefficient, and Kruskal-Wallis ANOVA, as well as qualitative thematic analyses of open-ended responses. Findings: The results confirm statistically significant relationships between employees' perceptions of career growth opportunities, digitalisation, and artificial intelligence utilisation, and their evaluations of talent management effectiveness. Research Limitation/Implication: Barriers such as insufficient time and motivation were identified, emphasising the need for personalised training and flexible learning modules. Originality/Value of paper: This paper underscoring that effective talent management, supported by technological integration and inclusive organisational strategies, significantly enhances organisational adaptability and long-term competitive advantage.

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Publication Details

Journal
Quality Innovation Prosperity
Published
2025-11-30
DOI
https://doi.org/10.12776/qip.v29i3.2281
Primary Topic
Human Resource and Talent Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Strategic Talent Management as a Driver of Quality, Innovation, and Competitiveness in Industrial Enterprises

Michaela Harničárová, Peter Malega, Zuzana Tóthová
Quality Innovation Prosperity
Human Resource and Talent Management
article

Strategic Talent Management as a Driver of Quality, Innovation, and Competitiveness in Industrial Enterprises

Michaela Harničárová, Peter Malega, Zuzana Tóthová
article en

Abstract

Purpose: The aim of this paper is to analyse the role of strategic talent management as a critical factor in enhancing and maintaining organisational competitiveness. Methodology/Approach: The methodology integrated both quantitative analyses, including descriptive statistics, Pearson's Chi-square test, Spearman's correlation coefficient, and Kruskal-Wallis ANOVA, as well as qualitative thematic analyses of open-ended responses. Findings: The results confirm statistically significant relationships between employees' perceptions of career growth opportunities, digitalisation, and artificial intelligence utilisation, and their evaluations of talent management effectiveness. Research Limitation/Implication: Barriers such as insufficient time and motivation were identified, emphasising the need for personalised training and flexible learning modules. Originality/Value of paper: This paper underscoring that effective talent management, supported by technological integration and inclusive organisational strategies, significantly enhances organisational adaptability and long-term competitive advantage.

Quality Innovation ProsperityVol. 29(3)
University of Prešov (SK), Technical University of Košice (SK)
Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR, Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Openalex Percentile: Top 56%
Human Resource and Talent Management
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Strategic Talent Management as a Driver of Quality, Innovation, and Competitiveness in Industrial Enterprises — Michaela Harničárová, Peter Malega, et al. · Quality Innovation Prosperity (2025) | TGRS Research Map | TGRS