Table 2 Reliability and convergent...

Table 2

Reliability and convergent validity results of constructs (loadings, Cronbach’s alpha, CR and AVE)

Constructs	Indicators	Loadings	Cronbach’s alpha	CR	AVE
Dynamic programming	Activation	0.622	0.789	0.849	0.491
	Adoption	0.508
	Awareness	0.608
	Evaluation	0.842
	Interest	0.792
	Trial	0.77
Decision theory	Activation	0.587	0.771	0.837	0.478
	Adoption	0.358
	Awareness	0.594
	Evaluation	0.874
	Interest	0.815
	Trial	0.783
Forecasting	Activation	0.64	0.793	0.854	0.501
	Adoption	0.498
	Awareness	0.600
	Evaluation	0.85
	Interest	0.785
	Trial	0.804
Financial performance	FP1	0.677	0.787	0.846	0.441
	FP2	0.618
	FP3	0.693
	FP4	0.61
	FP5	0.605
	FP6	0.709
	FP7	0.723
Goal programming	Activation	0.652	0.79	0.851	0.497
	Adoption	0.493
	Awareness	0.572
	Evaluation	0.848
	Interest	0.783
	Trial	0.809
Integer programming	Activation	0.616	0.783	0.847	0.49
	Adoption	0.448
	Awareness	0.592
	Evaluation	0.861
	Interest	0.793
	Trial	0.798
Inventory	Activation	0.64	0.792	0.852	0.500
	Adoption	0.479
	Awareness	0.581
	Evaluation	0.86
	Interest	0.795
	Trial	0.807
Linear programming	Activation	0.639	0.766	0.838	0.479
	Adoption	0.343
	Awareness	0.583
	Evaluation	0.857
	Interest	0.798
	Trial	0.800
Non-financial programming	NFP1	0.707	0.905	0.921	0.539
	NFP2	0.694
	NFP3	0.724
	NFP4	0.762
	NFP5	0.772
	NFP6	0.73
	NFP7	0.777
	NFP8	0.71
	NFP9	0.737
	NFP10	0.721
Non-linear programming	Activation	0.641	0.787	0.849	0.494
	Adoption	0.461
	Awareness	0.586
	Evaluation	0.856
	Interest	0.789
	Trial	0.802
Network	Activation	0.605	0.769	0.84	0.481
	Adoption	0.36
	Awareness	0.61
	Evaluation	0.857
	Interest	0.798
	Trial	0.807
Probabilistic programming	Activation	0.65	0.781	0.846	0.489
	Adoption	0.419
	Awareness	0.597
	Evaluation	0.854
	Interest	0.792
	Trial	0.792
Queuing	Activation	0.691	0.792	0.853	0.502
	Adoption	0.454
	Awareness	0.575
	Evaluation	0.854
	Interest	0.775
	Trial	0.815
Simulation	Activation	0.616	0.77	0.839	0.478
	Adoption	0.416
	Awareness	0.574
	Evaluation	0.855
	Interest	0.792
	Trial	0.793

Constructs	Indicators	Loadings	Cronbach’s alpha	CR	AVE
Dynamic programming	Activation	0.622	0.789	0.849	0.491
	Adoption	0.508
	Awareness	0.608
	Evaluation	0.842
	Interest	0.792
	Trial	0.77
Decision theory	Activation	0.587	0.771	0.837	0.478
	Adoption	0.358
	Awareness	0.594
	Evaluation	0.874
	Interest	0.815
	Trial	0.783
Forecasting	Activation	0.64	0.793	0.854	0.501
	Adoption	0.498
	Awareness	0.600
	Evaluation	0.85
	Interest	0.785
	Trial	0.804
Financial performance	FP1	0.677	0.787	0.846	0.441
	FP2	0.618
	FP3	0.693
	FP4	0.61
	FP5	0.605
	FP6	0.709
	FP7	0.723
Goal programming	Activation	0.652	0.79	0.851	0.497
	Adoption	0.493
	Awareness	0.572
	Evaluation	0.848
	Interest	0.783
	Trial	0.809
Integer programming	Activation	0.616	0.783	0.847	0.49
	Adoption	0.448
	Awareness	0.592
	Evaluation	0.861
	Interest	0.793
	Trial	0.798
Inventory	Activation	0.64	0.792	0.852	0.500
	Adoption	0.479
	Awareness	0.581
	Evaluation	0.86
	Interest	0.795
	Trial	0.807
Linear programming	Activation	0.639	0.766	0.838	0.479
	Adoption	0.343
	Awareness	0.583
	Evaluation	0.857
	Interest	0.798
	Trial	0.800
Non-financial programming	NFP1	0.707	0.905	0.921	0.539
	NFP2	0.694
	NFP3	0.724
	NFP4	0.762
	NFP5	0.772
	NFP6	0.73
	NFP7	0.777
	NFP8	0.71
	NFP9	0.737
	NFP10	0.721
Non-linear programming	Activation	0.641	0.787	0.849	0.494
	Adoption	0.461
	Awareness	0.586
	Evaluation	0.856
	Interest	0.789
	Trial	0.802
Network	Activation	0.605	0.769	0.84	0.481
	Adoption	0.36
	Awareness	0.61
	Evaluation	0.857
	Interest	0.798
	Trial	0.807
Probabilistic programming	Activation	0.65	0.781	0.846	0.489
	Adoption	0.419
	Awareness	0.597
	Evaluation	0.854
	Interest	0.792
	Trial	0.792
Queuing	Activation	0.691	0.792	0.853	0.502
	Adoption	0.454
	Awareness	0.575
	Evaluation	0.854
	Interest	0.775
	Trial	0.815
Simulation	Activation	0.616	0.77	0.839	0.478
	Adoption	0.416
	Awareness	0.574
	Evaluation	0.855
	Interest	0.792
	Trial	0.793

Source(s): SmartPLS output

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