Table 6 PLS-SEM analysis output Paths...

Table 6

PLS-SEM analysis output

Paths	Path coefficients	STDEV	t-statistics	p-values	Decision
DP → FP	0.111	0.063	1.759	0.079	Not significant
DT → FP	0.140	0.047	3.009	0.003^*	Significant
FC → FP	0.124	0.044	2.785	0.005^*	Significant
GP → FP	−0.030	0.039	0.773	0.440	Not significant
IP → FP	−0.033	0.044	0.745	0.456	Not significant
IV → FP	0.164	0.049	3.357	0.001^*	Significant
LP → FP	0.099	0.039	2.573	0.010^*	Significant
NLP → FP	0.111	0.038	2.897	0.004^**	Significant
NW → FP	0.112	0.044	2.535	0.011^**	Significant
PP → FP	0.132	0.047	2.814	0.005^***	Significant
QU → FP	0.066	0.047	1.428	0.153	Not significant
SM → FP	0.056	0.046	1.207	0.228	Not significant
R-square	0.839
R-square adjusted	0.833
SRMR	0.142
d_ULS	68.738
d_G	14.682
Chi-square	19646.015
NFI	0.390

Paths	Path coefficients	STDEV	t-statistics	p-values	Decision
DP → FP	0.111	0.063	1.759	0.079	Not significant
DT → FP	0.140	0.047	3.009	0.003^*	Significant
FC → FP	0.124	0.044	2.785	0.005^*	Significant
GP → FP	−0.030	0.039	0.773	0.440	Not significant
IP → FP	−0.033	0.044	0.745	0.456	Not significant
IV → FP	0.164	0.049	3.357	0.001^*	Significant
LP → FP	0.099	0.039	2.573	0.010^*	Significant
NLP → FP	0.111	0.038	2.897	0.004^**	Significant
NW → FP	0.112	0.044	2.535	0.011^**	Significant
PP → FP	0.132	0.047	2.814	0.005^***	Significant
QU → FP	0.066	0.047	1.428	0.153	Not significant
SM → FP	0.056	0.046	1.207	0.228	Not significant
R-square	0.839
R-square adjusted	0.833
SRMR	0.142
d_ULS	68.738
d_G	14.682
Chi-square	19646.015
NFI	0.390

Note(s): ^*** sig. a 0.1%; ^** sig. at 1%; ^* sig. at 5%; DP = dynamic programming; DT = decision theory; FC = forecasting; GP = goal programming; IP = integer programming; IV = inventory; LP = linear programming; NFP = non-financial performance; NLP = non-linear programming; NW = network; PP = probabilistic programming; QU = queuing; and SM = simulation

Source(s): Smart PLS output

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