Osmani, Qufli (2019) Dynamic Profile of Subcomponents of Job Satisfaction in the Function of Job Opportunity for Bank Employees. ECONOMIC VISION International Scientific Journal in Economics, Finance, Business, Marketing, Management and Tourism, 6 (11-12). pp. 162-168. ISSN 2545-4544
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Abstract
The subject of the research in this paper corresponds to the intention of determining the predictive value of job satisfaction subcomponents in function of job opportunities of bank employees. The intentional sample consists of a total of 244 subjects (25-62) employed in the bank sector in Macedonia and Kosovo. The purpose of this research is to confirm the predictive value of job satisfaction subcomponents through the explanation of job opportunities to bank employees. The research results prove the hypothesis regarding the linearity and the predictive value of predictive variables. Related to the partial coefficient we can conclude that statistically significant contribution in forecasting job opportunities provide the following predictors: a) the satisfaction which derives from income (ß = 0441, p <0.01), b) the nature of work (ß = 0334, p <0:01), c) awards (ß = 0329, p <0:01), d) works procedures (ß = 0319, p <0:01) and d) the satisfaction that derives from work promotions (ß = 0.317; p <0:01). In the context of predictors: supervision, contingent rewards, Co-workers and communication, despite their partial significant contribution, yet the same are not included in the predictive model because of the small contribution they provide in forecasting criterion variable. The low correlation significance validated in the research confirms the lack of relation between job satisfaction and job characteristics (job position, job duration in the current position, length of total employment, promotion, number of promotions, the number of awards).
Item Type: | Article |
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Subjects: | H Social Sciences > HB Economic Theory |
Divisions: | Faculty of Law, Arts and Social Sciences > School of Social Sciences |
Depositing User: | Unnamed user with email zshi@unite.edu.mk |
Date Deposited: | 28 Jan 2020 12:04 |
Last Modified: | 28 Jan 2020 12:04 |
URI: | http://eprints.unite.edu.mk/id/eprint/426 |
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