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About Thesis
This master's thesis examines the relationship between individual, organizational, and managerial factors and voluntary employee turnover using longitudinal data from a communications technology organization spanning 58 countries over 5 years. Through a literature review on psychological and labor economic theories of employee turnover, the author develops a research model and hypotheses. Regression analyses are then used to analyze data from the organization's HR system on factors like performance, tenure, gender, supervisor support, pay, and their relationship to voluntary turnover. The results provide implications for how managers can use employee records to identify turnover risks and develop retention strategies. This study contributes to turnover research by proposing a way for HR to diagnose at-risk employees and target interventions using existing employee data.
Detailed Information
| Author: | ['Syed Zaeem Rizvi'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 69 |
| Language: | English |
| Format: | |
| Price: | FREE |
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