Accurately classifying adopters and non-adopters based on the individuals’ background.

Finding which features support prediction and predicting adoption success.

Approximating the underlying function between the input and the output.

Making models simple and improving the prediction accuracy.

Categorising features into fewer labels thus making easily interpretable models.

Identifying features that provide insight into user’s ability to adopt technology.