Predicting Work Performance based on the Job Characteristics and Organizational Trust with the Mediation of Work Alienation in Healthcare Workers in the Oil Industry in the Northwest of Iran

Document Type : Original Article

Authors

1 Department. of Educational Administration, Tabriz Branch, Islamic Azad University, Tabriz, Iran

2 Department of educational administration.Farhangian university, Tabriz, Iran

Abstract

Background: Nowadays, the work performance of human resources is an important and key competitive advantage that can be affected by several factors.
 
Objectives: The present study aimed to predict work performance based on job characteristics and organizational trust with the mediation of work alienation.
 
Methods: The correlation research method was based on structural equation modeling. The statistical population of the research entailed 240 people in different fields of health and medical workers in the Northwestern oil industry of Iran. The sample size was calculated at 145 cases based on the Table of Krejcie and Morgan with proportion stratified random sampling. Four questionnaires were used to measure all variables. The psychometric properties of the questionnaires are valid and reliable. PLS software was used for data analysis.
 
Results: The results of the structural equation modeling demonstrated that the ability to predict the work performance of employees based on organizational trust and job characteristics with the mediation of work alienation was at a high level (R2 = 0.94), and the ability to predict work alienation based on organizational trust and job characteristics was at an average level (R2 = 0.85). Organizational trust and job characteristics showed a significant positive relationship with work performance. There was a significant inverse relationship between job characteristics and work alienation (P<0.001).
 
Conclusion: Human resource management programs that can promote organizational trust and job characteristics and reduce work alienation will improve the work performance of health workers.
 

Keywords

Open Access Policy: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/

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Razavi International Journal of Medicine
Volume 11, Issue 3
August 2023
Pages 23-29

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