Appendix Regression analysis Machine learning analysis For each indicator reflecting companies’ performance across 360° value, we tested whether there’s a positive For the analysis of organizational capabilities that are most predictive relation to the level of operational maturity and given value indicator strength. Both levels and annual changes of an organization’s likelihood to improve operations maturity by two were tested in a multivariate regression framework based on the equation below: or more levels between 2019 and 2022, we applied machine learning analysis. We used a random forest algorithm and complemented it with a logistic regression algorithm to understand organizations’ Y= X + Maturity Level + capabilities strategy for achieving peak performance operations. i i 1 i 2 i Using our survey, we evaluated how well organizations were scaling up 26 different organizational capabilities that were further segmented 360° value KPI Organizations' Reported levels of operations maturity into six dimensions of value: financial, experience, sustainability, (experience, background factors (binary variables, tested against foundational and automated) inclusion, talent and innovation. We focused on capabilities that were talent, etc.) (size, industry, etc.) already implemented enterprise-wide at scale as our predictors. Random forest algorithm Where: We applied a random forest algorithm to assess the likelihood of i denotes organization improving operations maturity by two or more levels between 2019 and β_1, β_2 - model parameters estimated using Ordinary Least Squares to capture the impact of each covariate on 360° value performance 2022. The reported relative importance of scaling digital capabilities is ε_i - standard error term based on the Gini (MDI) feature importance metric. β_2>0 indicates the positive relationship between higher levels of operations maturity and the 360° value KPI compared to the bottom maturity level, i.e., Foundational and Automated Logistic regression algorithm ations To understand the direction of the relationship between predictors and the likelihood of supercharging operations, we complemented random forest features importance analysis with logistic regression analysis, where we tested the relationship between the scale to which a company implemented a high level of capabilities adoption across 360° value segments and the odds of improving operations maturity enting Enterprise Oper by two or more levels between 2019 and 2022. v ein R 37