Final Call for Papers – Special Issue OR Spectrum: Data-driven Demand and Supply Management for Online-to-Offline Logistic Services
Over the last decade, many new online-to-offline logistics services have emerged that have generated significant interest in the research community and the public. These services include, for example, attended home delivery, bike-sharing, crowd shipping, same-day delivery, and ride-hailing.
The special issue collects high-quality, peer-reviewed papers that address the research front in online-to-offline logistics, both from a theoretical and an application perspective. The focus is on the development and application of data-driven OR methods that ideally integrate approaches from the fields of predictive and prescriptive analytics, potentially including machine learning and artificial intelligence. We are particularly interested in approaches that actively consider the behavior of the actors involved.
More details: https://www.springer.com/journal/291/updates/19088798
The extended deadline for contributions is June 30, 2022.
Special Issue Editors
- Jan Fabian Ehmke, University of Wien, [email protected]
- Robert Klein, University of Augsburg, [email protected]
- Claudius Steinhardt, Bundeswehr University Munich (UniBw M), [email protected]
- Arne Strauss, WHU – Otto Beisheim School of Management, [email protected]
Please send any questions – including intentions to submit a paper – to one of the special issue editors.