Our thinking on data issues of management importance in refereed publications that go deeper than our short stories (5-10 pages, 15-30 min reading time).
Dataspace ...
- is peer-to-peer data communications - not storage - and with data sovereignty protection so that you maintain control of the rights to your data at all times
- will shift from Big Data (high cost) to Better Data (higher returns) - providing the right data with relevant information content, quality and quantity (think: food labels for ingredients and nutritional value)
- is a just-in-time, on demand data supply chain or as a product to turbo-charge old apps or new and super-apps based on cross-organizational/ sectoral data chains
From Big Data to Better Data
What is a Dataspace: Dataspace Top 10, link
Why important: Our C-level 1-pager: 3 initiatives for strategy, 3 steps for next quarter, link
- 3 initiatives for strategy: Schlueter Langdon, C., and C. Hort. 2022. How data sovereignty enables the next future of automotive – part 1. T-Systems White Paper (2022-04-15), link
- 3 steps for next quarter: Schlueter Langdon, C., and C. Hort. 2022. Winning with dataspaces like Catena-X: From Big Data to Better Data - part 2. T-Systems White Paper, link
Dataspace apps
Industry (Umati) & mobility
Schlueter Langdon, C., and K. Schweichhart. 2022. Dataspaces: First Applications in Mobility and Industry. In: Otto, B. et al. (eds.). Dataspaces – Part IV Solutions & Applications. Springer Nature, Switzerland, link
RealLab Hamburg mobility super-app case study, winner of "Innovation Lab Award" by the German Federal Ministry of Economic Affairs and Climate Action
- Official RealLab Hamburg report (mobility super-app chapter): RealLabHH. 2022. Wir verändern Mobilität. Reallabor Hamburg (RealLabHH) , link
- Consumer journeys and system architecture: Schlueter Langdon, C. and J. Eckert. 2022. Intermodal travel super app with agent system and dataspace: RealLab Hamburg implementation. Scientific Paper ID 1225984, 28th ITS World Congress, Los Angeles, link
- Better performance - faster travel, easier to use: Schlueter Langdon, C., N. Oehrlein, and D. Kerinnis. 2021. Integrated public transport: Quantifying user benefits – Example of Hamburg. Technical Paper ID 438, 27th ITS World Congress, Hamburg, link
Intermodal travel economics
- Economics in mobility: Schlueter Langdon, C. 2021. Dataspace Enabled Mobility. In: Mertens, C., and C. Schlueter Langdon (eds.). Data Move People Anthology (version 1.0, October), International Dataspaces Association, Berlin, Germany: 27-41, link
- Schlueter Langdon, C., and N. Oehrlein. 2021. How much better is public transport with intermodal? Quantifying user benefits of integration with micro mobility. Working Paper (WP_DCL-Drucker-CGU_2021-03), Drucker Customer Lab, Drucker School of Management, Claremont Graduate University, Claremont, CA, link
- Schlueter Langdon, C. 2020. Pedal to the metal for intermodal travel. T-Systems Expert Blog (2020-12-14), link
- Schlueter Langdon, C. 2020. Quantifying intermodal mobility: A parsimonious model and simulation. Working Paper (WP_DCL-Drucker-CGU_2020-06), Drucker Customer Lab, Drucker School of Management, Claremont Graduate University, Claremont, CA, link
Dataspace core tech & interoperability
Drees, H., S. Pretzsch, B. Heinke, D. Wang, and C. Schlueter Langdon. 2022. Dataspace Mesh: Interoperability of Mobility Dataspaces. Technical Paper ID 280, 14th ITS Europe Congress, Toulouse, link
What is data sovereignty: Lauf, F., S. Scheider, J. Bartsch, P. Herrmann, M. Radic, M. Rebbert, A. T. Nemat, C. Schlueter Langdon, R. Konrad, A. Sunyaev, and S. Meister. 2022. Linking Data Sovereignty and Data Economy: Arising Areas of Tension. Best Paper Award at the 17th International Conference on Wirtschaftsinformatik (WI22), link
The world’s first dataspace: Drees, H., D. O. Kubitza, J. Lipp, S. Pretzsch, and C. Schlueter Langdon. 2021. Mobility Dataspace – First Implementation and Business Opportunities. Technical Paper ID 909, 27th ITS World Congress, Hamburg, link
Data as a product
Emerging data value chain: Schlueter Langdon, C., and R. Sikora. 2020. Creating a Data Factory for Data Products. In: Lang, K. R., J. J. Xu et al. (eds). Smart Business: Technology and Data Enabled Innovative Business Models and Practices. Springer Nature, Switzerland: 43-55, link
Data factory example: Sikora R., and C. Schlueter Langdon. 2019. Marketing to “Minorities”: Mitigating Class Imbalance Problems with Majority Voting Ensemble Learning. Frontiers of Marketing Data Science Journal (Fall): 27-33, link
Crosby, L., and C. Schlueter Langdon. 2019. Data as a Product to be Managed. Marketing News, American Marketing Association (October 10th), link
