Table 4

Mediation analyses results

ParameterBootstrapping Results(a)
Coefficient estimateStandard error95% confidence interval
Mediation of demand integration on basic programs through internal integration
cDemand Integration → Basic Programs0.3240.338[−0.339, 0.987]
aDemand Integration → Internal Integration0.5010.135[0.237, 0.767]
bInternal Integration → Basic Programs0.4810.213[0.064, 0.898]
abDemand Integration → Internal Integration → Basic Programs0.2410.120(c)[0.030, 0.527](b)
c′Demand Integration and Internal Integration → Basic Programs0.1150.304[−0.481, 0.711]
θXTotal indirect effect0.2410.120[0.030, 0.527]
Mediation of Supply Integration on Basic Programs through Internal Integration
cSupply Integration → Basic Programs0.0270.196[−0.357, 0.410]
aSupply Integration → Internal Integration0.2220.097[0.033, 0.411]
bInternal Integration → Basic Programs0.4810.213[0.064, 0.898]
abSupply Integration → Internal Integration → Basic Programs0.1070.065(c)[0.001, 0.269](b)
c′Supply Integration and Internal Integration → Basic Programs−0.0760.201[−0.469, 0.317]
θXTotal indirect effect0.1070.065[0.001, 0.269]

Note(s): a Parameter estimates are the results of Seemingly Unrelated Regression procedure; based on 5,000 bootstrap samples, b Confidence Interval for the indirect effect (a1b1) was found by a Monte Carlo simulation, c Point Estimate of the indirect effect is ab = a*b; standard error of the indirect effect is calculated as Sab = a2Sb2+b2Sa2, n = 71; Control Variables: Total Assets, Age and Fundraising Expenses

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