Table 3.

Correlation

VariablesRATIER1TCRRCCROCFO
RA1.00     
TIER1−0.21***1.00    
TCR−0.16***0.54***1.00   
RC0.09**0.040.06*1.00  
CRO−0.06*0.08*0.02−0.07*1.00 
CFO−0.010.13***0.11***−0.07*−0.031.00
TITLE−0.050.15***0.10**0.08**0.05−0.02
SENIOR0.00−0.050.00−0.060.030.05
BI0.29***−0.16***−0.040.28***−0.16***0.00
CEOAD0.03−0.09**−0.02−0.04−0.04−0.09**
BS−0.32***0.11***−0.04−0.14***0.12***−0.01
SIZE−0.22***0.24***0.14***−0.09**0.04−0.02
 TITLESENIORBICEOADBSSIZE
TITLE1.00     
SENIOR−0.07*1.00    
BI0.11***−0.051.00   
CEOAD−0.020.00−0.11***1.00  
BS0.050.07*−0.38***−0.07*1.00 
SIZE0.08*0.06−0.12***0.010.41***1.00
       

Notes:

This table presents the correlation matrix of the variables used in the study. Each cell shows the Pearson correlation coefficient between pairs of variables, with significance levels marked as follows: *p < 0.05, **p < 0.01 and ***p < 0.001. A negative correlation indicates an inverse relationship, while a positive correlation signifies a direct relationship. For instance, RA and TIER1 share a significant negative correlation of −0.21, suggesting that as RAs increase, TIER1 tends to decrease, and vice versa. Understanding these correlations assists in the interpretation of the relationship dynamics among the various factors considered in this study. *p < 0.05; **p < 0.01; ***p < 0.001

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