Fostering talent: the nexus of workplace well-being and enhanced employee performance

Safura Muzaffar Zargar & Abdul Gani

Industrial and Commercial Training2025https://doi.org/10.1108/ict-10-2024-0109article
AJG 1
Weight
0.41

What the paper says

Purpose The exponential growth of digital technology and automation has upended established work patterns, necessitating a strategic emphasis on the development of new skills and abilities. This mandated propelling talent development as an imperative strategy to sustain the challenges of the volatile, uncertain, complex, ambiguous environment. This study aims to explore and delve into the link between talent development and employee performance and the crucial mediating function of workplace well-being. Design/methodology/approach This study uses a descriptive approach, gathering cross-sectional data through survey methodology. Statistical analysis was performed using IBM SPSSv24 and AMOSv24 structural equation modeling (SEM) program. SEM was used to assess the direct effect. SEM analysis with bootstrap estimates was used to investigate the mediating role of workplace well-being in the relationship between talent development and employee performance. Findings Based on the inferences from the empirical data, the findings underscore that talent management has a considerable direct impact on employee performance, and the most significant new insight from this research concerns workplace well-being. The findings concluded that workplace well-being is a significant mediator in this relationship. Originality/value Workplace well-being as a mediating construct between talent development and employee performance imbues this discourse with a distinct element of novelty and scholarly intrigue.

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https://doi.org/https://doi.org/10.1108/ict-10-2024-0109

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@article{safura2025,
  title        = {{Fostering talent: the nexus of workplace well-being and enhanced employee performance}},
  author       = {Safura Muzaffar Zargar & Abdul Gani},
  journal      = {Industrial and Commercial Training},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/ict-10-2024-0109},
}

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.