Fig. 2: Linear regression model in predicting the WADI.

The linear regression model shown in Fig. 2 clarifies how the WADI treated with predicted and actual values relating to the mainframe input variables. Yellow crosses denote all observed data points, whereas the red line shows the best-fit regression line along with a 95% confidence interval (the shaded area). The steep positive slope indicates a strong linear dependence, implying that the model can very well predict real WADI values just based on the TA dimensions such as PU, PEOU, PI, PA, and SME. The close grouping of the data points around the regression line is interpreted as a good fit of the model, which means that the chosen predictors can together account for a large part of the variance in users’ willingness to adopt digital ICH platforms. The validation of this model conforms to the proposed relationships in the conceptual framework, thus confirming its predictive power and internal consistency.