Table 5 PLS-SEM analysis output Paths...

Table 5

PLS-SEM analysis output

Paths	Path coefficients	standard deviation (STDEV)	t-statistics	p-values	Decision
DP → FP	0.109	0.033	3.328	0.001^**	Significant
DT → FP	0.149	0.032	4.580	0.000^**	Significant
FC → FP	0.068	0.031	2.206	0.027^*	Significant
GP → FP	0.103	0.031	3.285	0.001^**	Significant
IP → FP	0.019	0.030	0.641	0.521	Not significant
IV → FP	0.127	0.029	4.307	0.000^**	Significant
LP → FP	0.082	0.030	2.714	0.007^**	Significant
NLP → FP	0.037	0.031	1.190	0.234	Not significant
NW → FP	0.087	0.034	2.520	0.012^*	Significant
PP → FP	0.126	0.036	3.514	0.000^**	Significant
QU → FP	0.052	0.033	1.580	0.114	Not significant
SM → FP	0.100	0.033	3.026	0.002^**	Significant
R-square	0.838
R-square adjusted	0.832
SRMR	0.146
d_ULS	67.064
d_G	13.378
Chi-square	18180.464
NFI	0.387

Paths	Path coefficients	standard deviation (STDEV)	t-statistics	p-values	Decision
DP → FP	0.109	0.033	3.328	0.001^**	Significant
DT → FP	0.149	0.032	4.580	0.000^**	Significant
FC → FP	0.068	0.031	2.206	0.027^*	Significant
GP → FP	0.103	0.031	3.285	0.001^**	Significant
IP → FP	0.019	0.030	0.641	0.521	Not significant
IV → FP	0.127	0.029	4.307	0.000^**	Significant
LP → FP	0.082	0.030	2.714	0.007^**	Significant
NLP → FP	0.037	0.031	1.190	0.234	Not significant
NW → FP	0.087	0.034	2.520	0.012^*	Significant
PP → FP	0.126	0.036	3.514	0.000^**	Significant
QU → FP	0.052	0.033	1.580	0.114	Not significant
SM → FP	0.100	0.033	3.026	0.002^**	Significant
R-square	0.838
R-square adjusted	0.832
SRMR	0.146
d_ULS	67.064
d_G	13.378
Chi-square	18180.464
NFI	0.387

Note(s): ^** sig. at 1%; ^* sig. at 5%; DP = dynamic programming; DT = decision theory; FC = forecasting; FP = financial performance; GP = goal programming; IP = integer programming; IV = inventory; LP = linear programming; NLP = Non-linear programming; NW = network; PP = probabilistic programming; QU = queuing; and SM = simulation

Source(s): SmartPLS output

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