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This study examines the association of financial and non-financial compensation with insurance agents’ turnover intention at PT Chubb General Insurance. A quantitative associative approach was used. Primary data were collected through a five-point Likert-scale questionnaire completed by 30 agents selected through purposive sampling and analyzed using SPSS. The analysis included descriptive statistics, instrument tests, classical assumption checks, multiple linear regression, t-tests, an F-test, and the coefficient of determination. In the multiple regression model, financial compensation had a positive but statistically non-significant coefficient (B = 0.670; t = 1.467; p = 0.154), while non-financial compensation had a negative but statistically non-significant coefficient (B = −0.082; t = −0.183; p = 0.856). The overall model was statistically significant (F = 6.732; p = 0.004), with R² = 0.333, indicating that the two predictors accounted for 33.3% of the variation in turnover intention in the sample. The remaining 66.7% was not explained by the model. The findings should be interpreted cautiously because the sample was limited and the predictors showed relatively high multicollinearity (VIF = 8.005).
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Junaedi et al. (2026) studied this question.
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