Digital Innovation in agrifood is becoming more and more relevant, since farmers increasingly adopt digital technologies and rely on them to support their business activities. Even though the exploitation of digital innovation has proven to generate benefits and to be a potential engine for businesses to improve their performance and competitive advantage, studies have found that leveraging this phenomenon has both benefits and costs for businesses.

This thesis aims at developing a framework able to understand the impacts derived from the adoption of digital innovation in agrifood, and the obstacles to effectively turn extracted data into knowledge that can support effective actions and generate real value. A particular attention will be devoted also to data monetization.

This work is suitable for both students coming from an engineering and non-engineering background, and can be tackled both by a single student and by a group of two students.