Unlocking Success: Exploring the Impact of Human Resource Competence on Job Performance in Pakistan's Engineering Sector

Authors

  • Eimad Hafeez Gogia School of Economics and Management, Harbin Institute of Technology, China
  • Zhen Shao School of Management, Harbin Institute of Technology, China
  • Ali Raza Akhter Department of Applied Psychology, The Islamia University of Bahawalpur, Pakistan
Volume: 14 | Issue: 3 | Pages: 14754-14759 | June 2024 | https://doi.org/10.48084/etasr.7363

Abstract

Based on innovation diffusion theory, this paper develops a research model to investigate the influence mechanism of Human Resources (HR) competency on employees' job performance through the mediation effect of HR analytics and the positive moderation effect of Τechnology Αdoption (ΤΑ). A survey was carried out in civil engineering firms in Pakistan, adapting measures with good reliability and validity from different sources, and collecting data through social media platforms and questionnaires from HR professionals. The responses of 297 respondents were collected and structural equation modeling was applied. The results show that there is a positive and significant relationship between HR competency and employee job performance, a significant partial mediation of HR analytics in the relationship between HR competency and employee job performance, and a significant positive moderation of ΤΑ in the mediation of HR analytics in the relationship between HR competency and employee job performance. This study provides an essential contribution to the diffusion of innovation theory, as ΤΑ is slow compared to other countries, and practical guidelines for the fast adoption of technology and HR analytics in the HR departments of civil engineering organizations to enhance talented employees' performance.

Keywords:

HR analytics, HR competency, technology adoption, employee job performance, civil engineering

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How to Cite

[1]
E. H. Gogia, Z. Shao, and A. R. Akhter, “Unlocking Success: Exploring the Impact of Human Resource Competence on Job Performance in Pakistan’s Engineering Sector”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 3, pp. 14754–14759, Jun. 2024.

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