Figure 1
The table presents a Pearson r correlation matrix with variables arranged in both rows and columns forming a square grid. The top left cell is labeled “Pearson r”. The first column lists variables beginning with “E I”, followed by grouped variables “A I mrkt underscore S”, “A I prod underscore S”, “A I admin underscore S”, “A I man underscore S”, “A I log underscore S”, “A I s c r underscore S”, and “A I h r m underscore S”. These are followed by corresponding groups for “underscore M” and “underscore L”, including “A I mrkt underscore M”, “A I prod underscore M”, “A I admin underscore M”, “A I man underscore M”, “A I log underscore M”, “A I s c r underscore M”, “A I h r m underscore M”, and similarly for “underscore L”. The same labels appear across the top header row aligned with columns. The diagonal from the top left to the bottom right contains X marks indicating self-correlation. The lower triangular portion contains smaller decimal values representing significance levels, while the upper triangular portion contains correlation coefficients with grayscale shading, where darker cells indicate stronger correlations. Reading across the first row, “E I” has correlations of 0.327 with “A I mrkt underscore S”, 0.443 with “A I prod underscore S”, 0.436 with “A I admin underscore S”, 0.365 with “A I man underscore S”, 0.369 with “A I log underscore S”, 0.275 with “A I s c r underscore S”, and 0.232 with “A I h r m underscore S”. Continuing, “E I” has correlations of 0.563 with “A I mrkt underscore M”, 0.445 with “A I prod underscore M”, 0.540 with “A I admin underscore M”, 0.430 with “A I man underscore M”, 0.495 with “A I log underscore M”, 0.408 with “A I s c r underscore M”, and 0.417 with “A I h r m underscore M”. Further, “E I” has correlations of 0.696 with “A I mrkt underscore L”, 0.719 with “A I prod underscore L”, 0.605 with “A I admin underscore L”, 0.496 with “A I man underscore L”, 0.695 with “A I log underscore L”, 0.638 with “A I s c r underscore L”, and 0.532 with “A I h r m underscore L”. In the next row, “A I mrkt underscore S” has correlations of 0.883 with “A I prod underscore S”, 0.859 with “A I admin underscore S”, 0.822 with “A I man underscore S”, 0.789 with “A I log underscore S”, 0.643 with “A I s c r underscore S”, and 0.820 with “A I h r m underscore S”. It further shows correlations of 0.900 with “A I mrkt underscore M”, 0.815 with “A I prod underscore M”, 0.808 with “A I admin underscore M”, 0.636 with “A I man underscore M”, 0.656 with “A I log underscore M”, 0.709 with “A I s c r underscore M”, and 0.877 with “A I h r m underscore M”. The row “A I prod underscore S” shows correlations of 0.909 with “A I admin underscore S”, 0.841 with “A I man underscore S”, 0.911 with “A I log underscore S”, 0.723 with “A I s c r underscore S”, and 0.801 with “A I h r m underscore S”, and continues with strong correlations such as 0.894 with “A I mrkt underscore M” and 0.897 with “A I h r m underscore M”. Across the matrix, most correlations are moderate to high, generally ranging from approximately 0.600 to above 0.900. For example, “A I s c r underscore S” and “A I s c r underscore M” show a high correlation of 0.938, and “A I man underscore M” and “A I man underscore L” show a high correlation of 0.952. The shading reinforces these magnitudes, with darker cells corresponding to higher values.Correlation matrix of selected indicators