The Relationship of Supervisor Support for Basic Psychological Needs and Need Satisfaction with Work Motivation in Staff and Line Employees in Marun Oil and Gas Producing Company
Subject Areas : IndustrialNoori Kaabomeir 1 , Nasrin Arshadi 2 , Ali Harizavi 3
1 - Psychology, Department of psychology, Shahid Chamran University of Ahvaz, Ahvaz, Iran
2 - Professor, Department of psychology, Shahid Chamran University of Ahvaz, Ahvaz, Iran
3 - Industrial and organizational psychology, Department of psychology, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Keywords: need satisfaction, Supervisor support, Basic Psychological Needs, Work Motivation,
Abstract :
The purpose of this study was to investigate the relationship model of supervisor support for basic psychological needs, need satisfaction, and job motivation in staff and line employees in Marun Oil and Gas Producing Company. The participants of this study consisted of 246 employees, who were selected by a stratified random sampling method. The instruments used in the study were Need Support at Work Scale (Tafvelin & Stenling, 2018), Need Satisfaction at Work Scale (Tafvelin & Stenling, 2018), and Multidimensional Work Motivation Scale (Gagné et al., 2015). Structural equation modeling (SEM) through AMOS-24 was used for the proposed model analysis. Also, to compare the proposed model between staff and line employees, the multi-group structural equation modeling analysis was used in AMOS-24 software. The results showed a good fit of the proposed model with the data. According to the results, the supervisor support for the basic psychological needs of employees has a direct and significant effect on the need satisfaction, autonomous motivation, controlled motivation, and amotivation of them (p<0.01). The results also supported the indirect effect of supervisor support of basic psychological needs on autonomous motivation, controlled motivation, and amotivation through the satisfaction of psychological needs (p<0.001). Also, the results showed that there is a significant difference between the model of staff and line employees (p<0.01).
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