Data Sharing in German Food Industry - Empirical Insights

Hannah Stein, Calvin Rix, Anna Effertz, Sven Bergau, Wolfgang Maaß

In: 28th Americas Conference on Information Systems 2022. Americas Conference on Information Systems (AMCIS-2022) 8/2022.


Big data are collected along the entire food industry value chain, but remain mostly unused. Data sharing in data ecosystems could lead to efficiency gains and new revenue streams. We investigate data sharing within food industry and derive challenges and opportunities for data sharing in this context. We conducted interviews with ten qualified experts from the German food industry. The results reveal that mainly trust, usefulness and value influence users’ attitude towards data sharing. Our results confirm social exchange theory in conjunction with technology acceptance model as relevant underlying IS theories of data sharing.


German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz