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corrected item-total correlations exceeded 0.3, and item-deletion analysis indicated no
further improvements to the alpha values. These findings confirm the reliability of the
constructs, demonstrating that the observed variables accurately represent their
underlying factors without the need for item elimination.
Table 2. Descriptive statistics and reliability assessment
Corrected Item- Cronbach’s Alpha if
Construct & Item Mean SD
Total Correlation Item Deleted

Market Orientation Capability (α = 0.770)
MOC1 4.023 0.766 0.532 0.733

MOC2 4.107 0.793 0.540 0.729
MOC3 4.114 0.832 0.612 0.704

MOC4 3.955 0.893 0.582 0.714

MOC5 3.968 0.922 0.456 0.761
Customer Relationship Management Capability (α = 0.703)

CRMC1 3.432 1.050 0.510 0.625
CRMC2 3.838 0.785 0.465 0.659

CRMC3 3.026 1.165 0.497 0.642

CRMC4 3.617 0.899 0.512 0.627
Brand Management Capability (α = 0.745)

BMC1 4.003 0.873 0.537 0.688
BMC2 3.701 0.951 0.555 0.679

BMC3 4.062 0.879 0.570 0.669
BMC4 4.000 0.849 0.496 0.710

New Product Development Capability (α = 0.793)

NPDC1 3.981 0.908 0.630 0.709
NPDC2 4.065 0.850 0.606 0.725

NPDC3 3.906 0.940 0.664 0.690

NPDC4 3.487 1.132 0.491 0.795
Export Performance (α = 0.731)

EP1 3.795 0.868 0.612 0.617
EP2 3.808 0.882 0.507 0.678

EP3 3.753 0.885 0.510 0.676
EP4 3.747 0.973 0.460 0.707

AI and Big Data Analytics Application (AIBDA) (α = 0.917)

AIBDA1 3.440 1.407 0.846 0.868

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