Data-driven business models imply the inter-organisational exchange of data or similar value objects. Data science methods enable organisations to discover patterns and eventually knowledge from data. Further, by training machine learning models, knowledge is materialised in those models. Thus,...

The importance of comprehensive annotations for learning resources is widely recognized. However, it is often unclear how these annotations should be created. A promising solution might be that learners annotate learning resources during execution of learning processes. This paper examines...

Maturity models are popular instruments used, e.g., to rate capabilities of maturing elements and select appropriate actions to take the elements to a higher level of maturity. Their application areas are wide spread and range from cognitive science to business applications and engineering....