Abstract
This paper provides input on the use of information from Big Data analytics for innovation development in a Smart Grid cooperation. This research should show an approach on how to handle Big Data after analytics have filtered relevant information for an organizations. Thus, the research investigates the further processing of information from Big Data that can become knowledge and that can be used for innovation development. For this purpose, it has to be found out if project partners in the Smart Grid learn or bridge new knowledge from Big Data. The research aims at understanding innovation development between different actors in the Smart Grid and is therefore of great relevance in order to promote energy transition.
Recommended Citation
Köhlke, Julia Petra, "Learning vs. Bridging of Big Data for innovation development in the Smart Grid" (2019). AMCIS 2019 Proceedings. 33.
https://aisel.aisnet.org/amcis2019/data_science_analytics_for_decision_support/data_science_analytics_for_decision_support/33
Learning vs. Bridging of Big Data for innovation development in the Smart Grid
This paper provides input on the use of information from Big Data analytics for innovation development in a Smart Grid cooperation. This research should show an approach on how to handle Big Data after analytics have filtered relevant information for an organizations. Thus, the research investigates the further processing of information from Big Data that can become knowledge and that can be used for innovation development. For this purpose, it has to be found out if project partners in the Smart Grid learn or bridge new knowledge from Big Data. The research aims at understanding innovation development between different actors in the Smart Grid and is therefore of great relevance in order to promote energy transition.