Correlation matrix and heterotrait-monotrait (HTMT) ratio of correlations for discriminant validity
| Construct | Big data analytics capabilities | Digital capabilities | Data-driven culture | Digital transformation |
|---|---|---|---|---|
| Big data analytics capabilities | 0.907 | 0.822 | 0.781 | 0.693 |
| Digital capabilities | 0.820 | 0.921 | 0.682 | 0.754 |
| Data-driven culture | 0.812 | 0.716 | 0.954 | 0.604 |
| Digital transformation | 0.691 | 0.765 | 0.612 | 0.966 |
| Construct | Big data analytics capabilities | Digital capabilities | Data-driven culture | Digital transformation |
|---|---|---|---|---|
| Big data analytics capabilities | 0.822 | 0.781 | 0.693 | |
| Digital capabilities | 0.820 | 0.682 | 0.754 | |
| Data-driven culture | 0.812 | 0.716 | 0.604 | |
| Digital transformation | 0.691 | 0.765 | 0.612 |
Note(s): Italic values on the diagonal are square roots of average variance extract. These values should be higher than the values above the diagonal, which represent correlations between constructs, to establish discriminant validity Hair et al. (2019, 2020), Lim (2025). The values below the diagonal are heterotrait-monotrait (HTMT) ratio of correlations, which should be less than 0.85 to establish discriminant validity Henseler et al. (2015)
Source(s): Authors’ own work
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