Table 4

Purchasing manager sample: OLS Regressions of choice with heteroskedastic standard errors

VariablesModel 1Model 2
β coefficients (std. errors)95% CIβ coefficients (std. errors)95% CI
Intercept0.871**** (0.01)[0.84, 0.89]2.134 (3.89)[−5.37, 9.63]
RPA0.025 (0.02)[−0.03, 0.08]0.019 (0.02)[−0.04, 0.07]
SIS0.016 (0.02)[−0.04, 0.07]0.016 (0.02)[−0.04, 0.07]
Gender0.050 (0.02) *p = 0.065[0.00, 0.10]0.058 (0.02) **p = 0.040[0.03, 0.12]
RPA* SIS0.039 (0.05)[−0.07, 0.15]0.058 (0.05)[−0.05, 0.17]
RPA * Gender−0.105 (0.05) *p = 0.052[−0.21, −0.00]−0.111 (0.05) **p = 0.044[−0.22, −0.00]
SIS * Gender0.046 (0.05)[−0.06, 0.15]0.048 (0.05)[−0.06, 0.16]
RPA * SIS * Gender−0.133 (0.10)[−0.35, 0.08]−0.128 (0.11)[-0.35, 0.10]
Organization type (other)  0.154 (0.05) ****p = 0.002[0.056, 0.25]
Other controls (date of data collection, years of purchasing experience, age, level of management, DOSPERT, time to complete the experiment)  included
not significant (n.s.)
 
Sample size612 612 
R-squared0.0183 0.0392 
F-statistic1.609 1.272 

Note(s): *p-value <0.10.; **p-value <0.05.; ***p-value <0.01; ****p-value <0.001

Source(s): Authors’ own work

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