Employee satisfaction through human resource development, planning, and performance appraisal in the banking sector of Nepal
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DOIhttp://dx.doi.org/10.21511/ppm.23(1).2025.30
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Article InfoVolume 23 2025, Issue #1, pp. 402-412
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Creative Commons Attribution 4.0 International License
Employee satisfaction has become indispensable in the immensely competitive business world for the sustainability of entities embracing sound human resource planning, human resource development, and an adequate performance appraisal system, as these factors foster employee satisfaction. Thus, this study aims to evaluate how human resource practices affect the level of satisfaction among the workforce in Nepalese commercial banks. The paper employed descriptive and explanatory research designs to test the hypotheses and to address the objectives. Structured survey questionnaires were disseminated among 700 employees working in commercial banks; only 389 (55.57 percent) questionnaires were successfully retrieved. This study employed descriptive statistics along with frequency, percentage, mean, and standard deviation to study the general characteristics of respondents’ background information. Next, correlation and linear regression were adopted to assess the association between predictors and outcome variables, along with a test of effects. The finding revealed a positive and significant association between human resource planning and employee satisfaction (p < 0.05). Similarly, human resource development had a positive effect on employee satisfaction (p < 0.05). Performance appraisal showed a positive correlation with employee satisfaction (p < 0.05). The implications suggest endorsing effective human resource practices as a strategic path for organizations to foster employee satisfaction.
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JEL Classification (Paper profile tab)M10, M12, M50, O15
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References46
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Tables6
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Figures1
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- Figure 1. Research model
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- Table 1. Details of respondents’ banks
- Table 2. Cronbach’s alpha
- Table 3. Respondents’ profile
- Table 4. Pearson’s correlation
- Table 5. Regression analysis
- Table 6. Summary of hypotheses testing
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