Data Value & Open Data

Objective

The possession of vast amounts of data is hardly unique to an organization in today’s world. With all of this data at hand, organizations are given the opportunity to drive process efficiencies, establish new revenue streams or even re-invent their entire business model. With data being at the core of these activities, companies thrive to get the most value out of it.

Together with industry partner BASF SE, this research project aims to develop a better understanding of how organizations can determine and leverage the value of their data assets and how this impacts their data management activities. Particular focus is put on the opportunities arising from engaging in an open data strategy. By opening up externally, organizations may benefit from an extended data ecosystem, which may ignites the spark of internal innovation.

In the context of this research project, it will be explored how private sector organizations can benefit from an open data strategy and what process, organizational, and infrastructure changes are required to leverage its full potential. Furthermore, it will be explored what open data ecosystems are made up of, how value is created and captured.

Funding

BASF SE

Duration

01.10.2017 – 31.03.2021

Partners

BASF 

Involved DSI Researchers

Tobias Enders

Publications


Opening Pandora’s Box? Guiding Organizations Through Selective Open Data Revealing [in press].
Enders, T.; Wolff, C.; Kienzle, L.
2021. Proceedings of 28th Pacific Asia Conference on Information Systems
Untangling the Open Data Value Paradox: How Organizations Benefit from Revealing Data.
Enders, T.; Benz, C.; Satzger, G.
2021. Innovation Through Information Systems: Volume III: A Collection of Latest Research on Management Issues. Ed.: F. Ahlemann, 200–205, Springer. doi:10.1007/978-3-030-86800-0_15
Designing Chemical Emergency Response Systems Based on Open Data.
Enders, T.; Kühl, N.; Walk, J.; Muff, M.
2021. Hawaii International Conference on Systems Sciences (HICSS-54), January 5-8, 2021
Knowing What to Share: Selective Revealing in Open Data.
Enders, T.; Wolff, C.; Satzger, G.
2020. European Conference on Information Systems (ECIS), Marrakesch, Marokko, June 15 - 17 2020
How to Implement an Open Data Strategy? Analyzing Organizational Change Processes to Enable Value Creation by Revealing Data.
Enders, T.; Benz, C.; Schüritz, R.; Lujan, P.
2020. European Conference on Information Systems, Marrakesch, Marokko, June 15 - 17, 2020
Igniting the Spark: Overcoming Organizational Change Resistance to Advance Innovation Adoption – The Case of Data-Driven Services.
Enders, T.; Martin, D.; Sehgal, G. G.; Schüritz, R.
2020. Exploring Service Science – 10th International Conference, IESS 2020, Porto, Portugal, February 5–7, 2020, Proceedings. Ed.: H. Nóvoa, 217–230, Springer. doi:10.1007/978-3-030-38724-2_16
Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services.
Enders, T.; Schüritz, R.; Frey, W.
2019. Proceedings of 14th International Conference on Wirtschaftsinformatik (Wi 2019): Human Practice.Digital Ecologies.Our Future
Exploring the Value of Data – a Research Agenda.
Enders, T.
2018. Exploring Service Science : 9th International Conference, IESS 2018 Karlsruhe, Germany, September 19–21, 2018 Proceedings. Ed.: G. Satzger, 274–286, Springer Nature. doi:10.1007/978-3-030-00713-3_21