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Predictors of job performance in Qatar labor market: a micro-level model

Noora Lari (The Social and Economic Survey Research Institute (SESRI), Qatar University, Doha, Qatar)

International Journal of Social Economics

ISSN: 0306-8293

Article publication date: 7 September 2021

Issue publication date: 28 October 2021

365

Abstract

Purpose

The purpose of this paper is to address the factors influencing the performance and productivity of Qatari citizens in organizational settings, with specific aims to maintain a high-quality performance standard in Qatar's labor market.

Design/methodology/approach

The author applies job performance theory to explain the dynamics within organizational settings. Primary sources were utilized, and data was collected from a 2017 Qatari national survey using simple random sampling.

Findings

The results indicated associations between sociodemographic characteristics and work-related factors and job performance. As compared to their male counterparts, female employees reported lower job performance. Working in a private organization was associated with lower job performance as compared to working in the government sector. An older age (>50 years) and working in a family friendly organization was associated with higher job performance.

Research limitations/implications

The approach used in this study contributed to a richer understanding of employees' positions in the Qatar workforce; yet, there are several methodological limitations in cross-sectional survey design. Further contributions to this research gap could include a wider scope of geographical locations within the Arab Gulf states with diverse industries; employing a robust experimental investigation, thus creating causation between the intervention and research outcomes.

Originality/value

The originality of this article lies in the micro-level model that recommends state-directed interventions to create family-friendly organizational cultures to assist in the retention of high-performing employees.

Keywords

Acknowledgements

The Author would like to acknowledge that the data was collected by the Social and Economic Survey Research Institute (SESRI) at Qatar University in collaboration with Doha International Family Institute (DIFI). The author is also grateful to the anonymous reviewers, for their insightful comments on earlier versions of this paper.

Conflict of Interest: The authors declare that they have no conflict of interest to report.

Compliance with Ethical Standards: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The research protocol was approved by the institutional review board of the Qatar University, QU-IRB 597-EA/16, under which the Social and Economic Research Institute (SESRI) operates.

Citation

Lari, N. (2021), "Predictors of job performance in Qatar labor market: a micro-level model", International Journal of Social Economics, Vol. 48 No. 12, pp. 1852-1869. https://doi.org/10.1108/IJSE-02-2021-0112

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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