Empowering Data Spaces for Future Mobility Exploring Organisational Roles
Main Article Content
Keywords
Data Ecosystems, Data Spaces, Data Sharing, Digital Economy, Organisational Roles, Gaia-X
Abstract
Recognising the growing demand for sovereign and interoperable data exchange in advanced mobility services, this paper presents a conceptual framework for developing data spaces within the data economy. Drawing on the Gaia-X initiative, we address the challenges of ensuring data sovereignty and cross-organisational collaboration in complex, diverse data ecosystems. By applying the Institutional Role Model (IRM), we systematically identify and classify 32 distinct organisational roles, organised into eight overarching meta-roles, that are crucial for the successful operation of a data space. Based on expert interviews and the in-depth analysis of two practical use cases, our approach uncovers how technological and economic roles interact to enable the seamless and sovereign exchange of mobility data. The findings enhance theoretical understanding of role-based data space structures and provide insights into data ecosystems’ design, governance, and implementation. Stakeholders looking to leverage data space for efficient, sovereign, and innovative mobility services will find these insights highly valuable.
References
Azkan, C., Möller, F., Ebel, M., Iqbal, T., Otto, B., & Poeppelbuss, J. (2022, December). Hunting the Treasure: Modeling Data Ecosystem Value Co-Creation.
Bakos, Y. (1998). The emerging role of electronic marketplaces on the Internet. Communications of the ACM, 41(8), 35–42. https://doi.org/10.1145/280324.280330
Boella, G. & Van Der Torre, L. (2006). A Foundational Ontology of Organizations and Roles. In M. Baldoni & U. Endriss (Eds.), Declarative Agent Languages and Technologies IV (Vol. 4327, pp. 78–88). Springer Berlin Heidelberg. https://doi.org/10.1007/11961536_6
Colman, A. & Han, J. (2007). Roles, players and adaptable organizations. Applied Ontology, 2, 105–126.
Curry, E., Scerri, S., & Tuikka, T. (2022). Data Spaces: Design, Deployment and Future Directions. Springer Nature.
De Prieëlle, F., De Reuver, M., & Rezaei, J. (2020). The role of ecosystem data governance in adoption of data platforms by Internet-of-Things data providers: Case of Dutch horticulture industry. IEEE Transactions on Engineering Management, 69(4), 940–950.
De Reuver, M., Sørensen, C., & Basole, R. C. (2018). The Digital Platform: A Research Agenda. Journal of Information Technology, 33(2), 124–135. https://doi.org/10.1057/s41265-016-0033-3
Eisenhardt, K. M., & Graebner, M. E. (2007a). Theory Building from Cases: Opportunities And Challenges. Academy of Management Journal, 50(1), 25–32. https://doi.org/10.5465/amj.2007.24160888
Franklin, M., Halevy, A., & Maier, D. (2005). From databases to dataspaces: A new abstraction for information management. ACM SIGMOD Record, 34(4), 27–33. https://doi.org/10.1145/1107499.1107502
GAIA-X European Association for Data and Cloud. (2022, October 22). Gaia-X Trust Framework—22.10 Release. Gaia-X European Association for Data and Cloud AISBL Avenue des Arts 6-9 1210 Brussels www.gaia-x.eu. https://docs.gaia-x.eu/policy-rules-committee/trust-framework/22.10/editorial_information/
Gnyawali, D. R., Fan, W., & Penner, J. (2010). Competitive Actions and Dynamics in the Digital Age: An Empirical Investigation of Social Networking Firms. Information Systems Research, 21(3), 594–613. https://doi.org/10.1287/isre.1100.0294
Goasduff, L. (2021). Data Sharing Is a Business Necessity to Accelerate Digital Business. https://www.gartner.com/smarterwithgartner/data-sharing-is-a-business-necessity-to-accelerate-digital-business
Graebner, M. E. (2004). Momentum and serendipity: How acquired leaders create value in the integration of technology firms. Strategic Management Journal, 25(8–9), 751–777. https://doi.org/10.1002/smj.419
Hein, A., Schreieck, M., Riasanow, T., Setzke, D. S., Wiesche, M., Böhm, M., & Krcmar, H. (2020). Digital platform ecosystems. Electronic Markets, 30(1), 87–98. https://doi.org/10.1007/s12525-019-00377-4
Heinbach, C., Gessler, J., Rychlik, H., Stecenko, C., Wieker, H., & Schulz, W. H. (2024). Sharing Business Data Securely: Insights from the European Gaia-X Project on Technical and Economic Roles Enabling Federated Data Spaces. Journal of Telecommunications and the Digital Economy, 12(4), 66–84. https://doi.org/10.18080/jtde.v12n4.1037
Heinz, D., Benz, C., Fassnacht, M., & Satzger, G. (2022a). Past, Present and Future of Data Ecosystems Research: A Systematic Literature Review. PACIS 2022 Proceedings. 46. https://aisel.aisnet.org/pacis2022/46
Huber, G. P., & Power, D. J. (1985). Retrospective reports of strategic‐level managers: Guidelines for increasing their accuracy. Strategic Management Journal, 6(2), 171–180. https://doi.org/10.1002/smj.4250060206
Huber, M., Wessel, S., Brost, G., & Menz, N. (2022). Building Trust in Data Spaces. In B. Otto, M. Ten Hompel, & S. Wrobel (Eds.), Designing Data Spaces (pp. 147–164). Springer International Publishing. https://doi.org/10.1007/978-3-030-93975-5_9
Hunger, I., & Müller, J. (2016). Barney G. Glaser/Anselm L. Strauss: The Discovery of Grounded Theory. Strategies for Qualitative Research, Aldine Publishing Company: Chicago 1967, 271 S. (dt. Grounded Theory. Strategien qualitativer Forschung, Bern: Huber 1998, 270 S.). In S. Salzborn (Ed.), Klassiker der Sozialwissenschaften (pp. 259–262). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-13213-2_59
Huppertz, M., & Gieß, A. (2024). The Interplay of Data-Driven Organizations and Data Spaces: Unlocking Capabilities for Transforming Organizations in the Era of Data Spaces. In Proceedings of the 57th Hawaii International Conference on System Sciences | 2024 (pp. 4496–4505). https://hdl.handle.net/10125/106925
Hutterer, A., & Krumay, B. (2024). 57th Hawaii International Conference on System Sciences (HICCS), Waikiki Beach Resort, January 3-6, 2024. University of Hawaii at Manoa.
Jacobides, M. G., Cennamo, C., & Gawer, A. (2018). Towards a theory of ecosystems. Strategic Management Journal, 39(8), 2255–2276. https://doi.org/10.1002/smj.2904
Jacobson, I. (2004). Use cases – Yesterday, today, and tomorrow. Software & Systems Modeling, 3(3), 210–220. https://doi.org/10.1007/s10270-004-0060-3
Janssen, M., Brous, P., Estevez, E., Barbosa, L. S., & Janowski, T. (2020). Data governance: Organizing data for trustworthy Artificial Intelligence. Government Information Quarterly, 37(3), 101493. https://doi.org/10.1016/j.giq.2020.101493
Jick, T. D. (1979). Mixing Qualitative and Quantitative Methods: Triangulation in Action. Administrative Science Quarterly, 24(4), 602. https://doi.org/10.2307/2392366
Jussen, I., Möller, F., Schweihoff, J., Gieß, A., Giussani, G., & Otto, B. (2024). Issues in inter-organizational data sharing: Findings from practice and research challenges. Data & Knowledge Engineering, 150, 102280. https://doi.org/10.1016/j.datak.2024.102280
Kambil, A., & Short, J. E. (1994). Electronic Integration and Business Network Redesign: A Roles–Linkage Perspective. Journal of Management Information Systems, 10(4), 59–83. https://doi.org/10.1080/07421222.1994.11518020
Kauschke, L. (2023). The transition to smart mobility: Acceptance and roles in future transportation. Springer Gabler.
Knight, L., & Harland, C. (2005). Managing Supply Networks: European Management Journal, 23(3), 281–292. https://doi.org/10.1016/j.emj.2005.04.006
Kubach, M., Henderson, I., Bithin, A., Dimitrakos, T., Vargas, J., Winterstetter, M., & Krontiris, I. (2023). A shared responsibility model to support cross border and cross organizational federation on top of decentralized and self-sovereign identity: Architecture and first PoC. https://doi.org/10.18420/OID2023_08
Langdon, C. S., & Schweichhart, K. (2022). Data Spaces: First Applications in Mobility and Industry.
Laursen, K., & Salter, A. J. (2014). The paradox of openness: Appropriability, external search and collaboration. Research Policy, 43(5), 867–878. https://doi.org/10.1016/j.respol.2013.10.004
Legner, C., Eymann, T., Hess, T., Matt, C., Böhmann, T., Drews, P., Mädche, A., Urbach, N., & Ahlemann, F. (2017). Digitalization: Opportunity and Challenge for the Business and Information Systems Engineering Community. Business & Information Systems Engineering, 59(4), 301–308. https://doi.org/10.1007/s12599-017-0484-2
Maghazei, O., Lewis, M. A., & Netland, T. H. (2022). Emerging technologies and the use case: A multi‐year study of drone adoption. Journal of Operations Management, 68(6–7), 560–591. https://doi.org/10.1002/joom.1196
Maxwell, J. A. (2013). Qualitative research design: An interactive approach (3 edition). SAGE.
Möller, F., Jussen, I., Springer, V., Gieß, A., Schweihoff, J. C., Gelhaar, J., Guggenberger, T., & Otto, B. (2024). Industrial data ecosystems and data spaces. Electronic Markets, 34(1), 41. https://doi.org/10.1007/s12525-024-00724-0
Moore, J. F. (1993). Predators and prey: A new ecology of competition. Harvard Business Review, 71(3), 75–86.
Munoz-Arcentales, A., López-Pernas, S., Pozo, A., Alonso, Á., Salvachúa, J., & Huecas, G. (2020). Data Usage and Access Control in Industrial Data Spaces: Implementation Using FIWARE. Sustainability, 12(9), 3885. https://doi.org/10.3390/su12093885
Nagel, L. & Lycklama, D. (2022). How to Build, Run, and Govern Data Spaces. In B. Otto, M. Ten Hompel, & S. Wrobel (Eds.), Designing Data Spaces (pp. 17–28). Springer International Publishing. https://doi.org/10.1007/978-3-030-93975-5_2
Oliveira, M. I. S., Barros Lima, G. D. F., & Lóscio, B. F. (2019). Investigations into Data Ecosystems: A systematic mapping study. Knowledge and Information Systems, 61(2), 589–630. https://doi.org/10.1007/s10115-018-1323-6
Oliveira, M. I. S. & Lóscio, B. F. (2018). What is a data ecosystem? Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, 1–9. https://doi.org/10.1145/3209281.3209335
Orlikowski, W. J. (2000). Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organizations. Organization Science, 11(4), 404–428. https://doi.org/10.1287/orsc.11.4.404.14600
Otto, B. (2022). The Evolution of Data Spaces. In B. Otto, M. Ten Hompel, & S. Wrobel (Eds.), Designing Data Spaces (pp. 3–15). Springer International Publishing. https://doi.org/10.1007/978-3-030-93975-5_1
Otto, B., & Jarke, M. (2019). Designing a multi-sided data platform: Findings from the International Data Spaces case. Electronic Markets, 29(4), 561–580. https://doi.org/10.1007/s12525-019-00362-x
Ozcan, P., & Eisenhardt, K. M. (2009). Origin of Alliance Portfolios: Entrepreneurs, Network Strategies, and Firm Performance. Academy of Management Journal, 52(2), 246–279. https://doi.org/10.5465/amj.2009.37308021
Papert, M., & Pflaum, A. (2017). Development of an Ecosystem Model for the Realization of Internet of Things (IoT) Services in Supply Chain Management. Electronic Markets, 27(2), 175–189. https://doi.org/10.1007/s12525-017-0251-8
Pettenpohl, H., Spiekermann, M., & Both, J. R. (2022). International Data Spaces in a Nutshell. In B. Otto, M. Ten Hompel, & S. Wrobel (Eds.), Designing Data Spaces (pp. 29–40). Springer International Publishing. https://doi.org/10.1007/978-3-030-93975-5_3
Porter, M. E. (1985). Competitive advantage: Creating and sustaining superior performance New York: Free Press.
Porter, M. E., & Millar, V. E. (1985). How information gives you competitive advantage. Harvard Business Review, 63, 149-160.
Pretzsch, S., Drees, H., & Rittershaus, L. (2022a). Mobility Data Space: A Secure Data Space for the Sovereign and Cross-Platform Utilization of Mobility Data. In B. Otto, M. Ten Hompel, & S. Wrobel (Eds.), Designing Data Spaces (pp. 343–361). New York: Springer International Publishing. https://doi.org/10.1007/978-3-030-93975-5_21
Pullmann, J., Petersen, N., Mader, C., Lohmann, S., & Kemeny, Z. (2017). Ontology-based information modelling in the industrial data space. 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 1–8. https://doi.org/10.1109/ETFA.2017.8247688
Radzicki, M. J. (2009). System Dynamics and Its Contribution to Economics and Economic Modeling. In R. A. Meyers (Ed.), Complex Systems in Finance and Econometrics (pp. 727–737). New York: Springer. https://doi.org/10.1007/978-1-4419-7701-4_39
Ridder, H-G. (2017). The theory contribution of case study research designs. Business Research, 10(2), 281–305. https://doi.org/10.1007/s40685-017-0045-z
Schulz, W. H., & Franck, O. (2022). The Institutional Role Model: A System-Dynamic Approach to Reduce Complexity. International Journal of Sustainable Development and Planning, 17(2), 351–361. https://doi.org/10.18280/ijsdp.170201
Schulz, W. H., Joisten, N., & Arnegger, B. (2019). Development of the Institutional Role Model As a Contribution to the Implementation of Co-Operative Transport Systems. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3421107
Spiekermann, M. (2019). Data Marketplaces: Trends and Monetisation of Data Goods. Intereconomics, 54(4), 208–216. https://doi.org/10.1007/s10272-019-0826-z
Steimann, F. (2000). On the representation of roles in object-oriented and conceptual modelling. Data & Knowledge Engineering, 35(1), 83–106. https://doi.org/10.1016/S0169-023X(00)00023-9
Strauss, A. L., & Corbin, J. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Thousand Oaks, CA: Sage.
Tardieu, H. (2022). Role of Gaia-X in the European Data Space Ecosystem. In B. Otto, M. Ten Hompel, & S. Wrobel (Eds.), Designing Data Spaces (pp. 41–59). Springer International Publishing. https://doi.org/10.1007/978-3-030-93975-5_4
Thornberg, R., & Charmaz, K. (2014). Grounded Theory and Theoretical Coding. In U. Flick, The SAGE Handbook of Qualitative Data Analysis (pp. 153–169). SAGE Publications, Inc. https://doi.org/10.4135/9781446282243.n11
Yin, R. K. (2013). Case study research: Design and methods (Fifth edition). Thousand Oak, CA: Sage.
Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010). Research Commentary —The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research. Information Systems Research, 21(4), 724–735. https://doi.org/10.1287/isre.1100.0322