, contributing to the sustainable use of resources and opening new perspectives for data-driven business models in a digitized and …

Data-driven business models imply the inter-organisational exchange of data or similar value objects. Data science … traditional business models, little research has been conducted in the direction of data-driven business models. In this … this study, we show that the risk of knowledge leakage is a relevant risk factor in data-driven business models. Overall …

Data-driven business models imply the inter-organisational exchange of data or similar value objects. Data science … traditional business models, little research has been conducted in the direction of data-driven business models. In this … this study, we show that the risk of knowledge leakage is a relevant risk factor in data-driven business models. Overall …

Driven by digital technologies, manufacturers aim to tap into data-driven business models, in which value is generated … data-driven business models require substantially different business and technical capabilities. While there are manifold … data-driven business models. To provide an integrated perspective on business and technology capabilities, the maturity …

Driven by digital technologies, manufacturers aim to tap into data-driven business models, in which value is generated … data-driven business models require substantially different business and technical capabilities. While there are manifold … data-driven business models. To provide an integrated perspective on business and technology capabilities, the maturity …

Firms are innovating data-driven business models (DDBMs) to realize value from data. Yet, making DDBMs work is …

of entities creating new Data-Driven Business Models (DDBMs) of consumers (EU citizens). Information about the consumer …