Are you satisfied? Tracing antecedents of bank employees’ job satisfaction in their job role
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DOIhttp://dx.doi.org/10.21511/bbs.19(1).2024.03
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Article InfoVolume 19 2024, Issue #1, pp. 24-33
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This empirical study aims to explore the factors that impact job satisfaction among employees in private banks in Bangladesh, considering the prevailing atmosphere of intense competition in the country’s banking sector. Recognizing that employees are a crucial asset to any organization’s success, it is essential to explore the variables that contribute to their work contentment. The methodology adopted for this study follows a quantitative approach, employing regression analysis for scrutinizing the relationships between job satisfaction and selected variables. This study included a sample of 320 individuals employed in private banks in Bangladesh. This sample size was considered suitable for conducting a robust quantitative regression analysis. To collect the necessary data, the questionnaire was given to the bank personnel and employees via their email addresses. The survey instrument utilized in this investigation was modified from earlier research endeavors to ensure validity and reliability. To analyze the collected data, the researchers utilized the statistical software SPSS version 29.0. The regression analysis feature of SPSS was employed to test the model and hypotheses formulated for this study. The findings of the study reveal that green HR practices
(β = 0.284), which encompass environmentally friendly policies and practices in human resource management, significantly contribute to employee job satisfaction. Additionally, remuneration (β = 0.224) emerges as another vital factor influencing job satisfaction. Furthermore, work environment (β = 0.298) was found to have a significant positive and highest effect among other two variables on job satisfaction levels.
- Keywords
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JEL Classification (Paper profile tab)M10, M12, O30, G21
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References38
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Tables4
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Figures2
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- Figure 1. Research model
- Figure 2. Regression results
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- Table 1. Reliability and validity analysis
- Table 2. Demographic information
- Table 3. Regression coefficient analysis
- Table 4. Summary of hypothesis testing
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