Table 4.

Results for direct effects at the frontline employee level

Financial planning behaviorPromotion focusService customization
Independent variableCoefficientSEp-valueCoefficientSEp-valueCoefficientSEp-value
Constant0.660.320.0383.420.190.0004.280.410.000
Main         
Promotion focus (PRF)0.310.060.000      
Service customization (SEC)0.370.130.0040.190.050.000   
Attention to detail (ATD)−0.030.030.3580.020.030.6260.140.030.000
Servant leadership (SEL)      0.020.040.684
Customer stewardship (CUS)      0.050.040.298
Interactions         
ATD × SEL      0.080.030.003
ATD × CUS      0.100.040.010
FLE controls         
Gender (female)0.090.100.332−0.020.040.5770.000.100.992
Age0.010.030.8250.040.020.048−0.100.080.226
Higher education0.050.080.563−0.010.030.8010.130.080.116
Job stress0.050.050.3450.010.010.097−0.020.040.678
Industry experience0.000.020.9920.010.010.2940.010.020.740
Customer controls         
Gender (female)−0.080.190.6650.040.110.743−0.160.140.238
Age0.010.020.5500.020.010.1820.000.060.973
Higher education−0.360.080.0000.400.200.043−0.150.290.594
Income−0.010.040.8050.050.010.000−0.050.030.157
Other controls         
Bank dummy−0.160.080.047−0.200.050.000−0.350.070.000
          
R20.21  0.21  0.17  
System R20.19

Notes:

n = 185 (FLE-level analysis). Results are based on two-tailed z tests. All coefficients are unstandardized. To account for heteroscedasticity, we estimated all models using clustered standard errors. All variance inflation factors (VIFs) are below the recommended cutoff of 5 (O’Brien, 2007)

Source: Authors’ own work

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