The Influence of Talent Management on Performance of Local Employees in Oil and Gas Companies in Abu Dhabi

Authors

  • Ibraheem Alhamadi, Safiah Sidek, Samer Ali Al-Shami

DOI:

https://doi.org/10.17762/msea.v71i3.170

Abstract

Purpose –The purpose of this study is to develop a model to understand the influence of talent management on job performance among local employees of Oil and Gas Company in the UAE. Specifically, this paper seeks to explore the mediating effects of satisfaction and engagement of the employees on the influence of talent management on job performance.

Design/method/approach – A survey research to verify the talent management model was designed. Data collected through questionnaire from 321 local employees from Abu Dhabi National Company (ADNOC) using systematic random sampling were considered for the survey. Partial least squares structural equation modelling (PLS-SEM) was used to validate the measurement model and structural model.

Findings – The results of the study revealed that bothTM Mindset and TM Strategies have positive and significant relationship with satisfaction, engagement and performance. Similarly, engagement and satisfaction has significant and positive relationship with job performance. Both satisfaction and engagement mediates the relationship of TM Mindset and Talent Management Strategies on performance of local employees in the oil and gas companies in the UAE.

Practical Implications - This study would benefit the leaders of O&G companies and human resource practitioners to understand the relationship between TM and job performance, which will reduce the turnover rate among local employees.

Originality/value – This study contributes to the knowledge on talent management by proposing a model of talent management influencing performance of local employees in oil and gas companies..

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Published

2022-06-09

How to Cite

Ibraheem Alhamadi, Safiah Sidek, Samer Ali Al-Shami. (2022). The Influence of Talent Management on Performance of Local Employees in Oil and Gas Companies in Abu Dhabi. Mathematical Statistician and Engineering Applications, 71(3), 321 –. https://doi.org/10.17762/msea.v71i3.170

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Section

Articles