Table 2 Model fit and quality indices.

From: How metaverse-enabled digital transformation drives sustainable supply chain innovation: evidence from Pakistan’s textile industry

Fit indices

Value

Threshold

Interpretation

Average path coefficient (APC)

0.294

p < 0.001

Significant

Average R-squared (ARS)

0.367

p < 0.001

Moderate explanatory power

Adjusted average R-squared (AARS)

0.353

p < 0.001

Moderate explanatory power

Average block VIF (AVIF)

1.72

≤ 5.00

Acceptable collinearity

Average full collinearity VIF (AFVIF)

2.14

≤ 5.00

Acceptable collinearity

Tenenhaus GoF

0.496

≥ 0.36 (large)

Large effect size

Sympson’s Paradox Ratio (SPR)

1.00

> 0.70

Ideal

R-squared Contribution Ratio (RSCR)

1.00

> 0.90

Excellent contribution

Statistical Suppression Ratio (SSR)

1.00

> 0.70

Ideal

Nonlinear Bivariate Causality Direction Ratio (NLBCDR)

0.96

> 0.70

Strong predictive relevance