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BigDieMo

BigDieMo
Contact:

Fabian Hunke

Objective

The rapidly increasing availability of vast amounts of data gives companies the opportunity to develop new service offerings based on "Big Data". For German SMEs, this poses the specific question of how they can leverage Big Data to expand their service portfolio with data-based services in order to create added value for existing and potential customers. The "BigDieMo" project, launched on 1 October 2015 and funded by the BMBF, answers this question by pursuing the development of a methodological toolkit for the design of data-based services.and systematic development of novel data-based services – aiming to enalbe them to systematically develop novel data-based services on their own.

The project approaches this objective in four main steps:

  • Identification of current data-based services and development of a framework for the existing models.
  • Survey of innovation needs in companies through interviews and workshops.
  • Development and piloting of a toolbox consisting of methods and tools for the design of data-based business models.
  • Embedding of the developed toolkit into a workshop concept that follows the design thinking approach.

Funding

BMBF

Duration

01.10.2015 – 31.12.2019

Website

https://bigdiemo.de/

Partners

 

FAU Universität Hamburg FESTO Cyberforum

 

 

 

 

 

Involved DSI Researchers

Fabian Hunke (Project Lead)

Stefan Seebacher

Laura Kienzle

Dr. Niels Feldmann

Publications


Please Tell Me What to Do – Towards a Guided Orchestration of Key Activities in Data-Rich Service Systems.
Hunke, F.; Seebacher, S.; Thomsen, H.
2020. Proceedings of the 15th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2020), Kristiansand, Norwegen, December, 2 - 4, 2020
Value Co-Creation in Data-Driven Services: Towards a Deeper Understanding of the Joint Sphere.
Schüritz, R.; Farrell, K.; Wixom, B.; Satzger, G.
2019. ICIS 2019 Proceedings: 15-18 December 2019, Munich, Germany, Art.-Nr.: 2202, AIS eLibrary
Geschäftsmodelle 4.0: Big Data und Data-Analytics als Treiber für Dienstleistungsinnovation im deutschen Mittelstand.
Hunke, F.; Seebacher, S.; Schymanietz, M.; Jonas, J.; Genennig, S.; Kühne, B.; Schüritz, R.; Satzger, G.; Möslein, K.; Böhmann, T.
2019. Digitale Dienstleistungsinnovationen. Eds.: V. Stich, J. Schumann, D. Beverungen, G. Gudergan, P. Jussen, 167–183, Springer, Heidelberg. doi:10.1007/978-3-662-59517-6_9
How to Design Analytics-Based Services? Paving the way for new customer value in the digital age.
Hunke, F.
2019. Dienstleistungstagung des BMBF (2019), Paderborn, Deutschland, 8.–9. April 2019
Understanding the Anatomy of Analytics-Based Services – A Taxonomy to Conceptualize the Use of Data and Analytics in Services.
Hunke, F.; Engel, C.; Schüritz, R.; Ebel, P.
2019. ECIS 2019 proceedings . 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. Research Papers, Paper: 25, AIS eLibrary, Stockholm
GESCHÄFTSMODELLE 4.0: Baukasten zur Entwicklung datenbasierter Geschäftsmodelle.
Schüritz, R.; Hunke, F.; Seebacher, S.; Jonas, J.; Genennig, S.; Schymanietz, M.; Kühne, B.; Ditterich, D.; Köpschall, M.; Eckerle, C.
2018. (G. Satzger, K. Möslein & T. Böhmann, Hrsg.), KSRI, Karlsruhe
Data-driven Service Business Models.
Schymanietz, M.; Genennig, S. M.; Hunke, F.; Jonas, J. M.; Kühne, B.; Schüritz, R.; Seebacher, S.; Böhmann, T.; Möslein, K. M.; Satzger, G.
2018. Open Service Lab Notes, (4)
Utilizing Data and Analytics to Advance Service – Towards Enabling Organizations to Successfully Ride the Next Wave of Servitization.
Hunke, F.; Engel, C.
2018. Exploring Service Science : 9th International Conference, IESS 2018, Karlsruhe, Germany, September 19–21, 2018, Proceedings. Ed.: G. Satzger, 219–231, Springer, Cham. doi:10.1007/978-3-030-00713-3_17
Datatization as the Next Frontier of Servitization : Understanding the Challenges for Transforming Organizations.
Schüritz, R.; Seebacher, S.; Satzger, G.; Schwarz, L.
2017. 38th International Conference on Information Systems, Seoul, South Korea, 10th - 13th December 2017
Turning Data into Value : Towards an Ideation Tool for Key Activities of Data-Driven Business Models.
Hunke, F.; Wambsganß, T.
2017. 3rd Karlsruhe Service Summit Research Workshop, Karlsruhe, Germany, 21st - 22nd September 2017
Smart Services.
Genennig, S.; Hunke, F.; Jonas, J.; Möslein, K.; Oks, S.; Satzger, G.; Schüritz, R.; Schymanietz, M.; Seebacher, S.
2017. Open Service Lab Notes, (3)
Capturing Value from Data: Revenue Models for Data-Driven Services.
Schüritz, R.; Seebacher, S.; Dorner, R.
2017. Proceedings of the 50th Annual Hawaii International Conference on System Sciences (HICSS), Waikoloa Village, Hawaii, USA, 4th - 7th January 2017
Towards a process model for data-driven business model innovation.
Hunke, F.; Seebacher, S.; Schuritz, R.; Illi, A.
2017. 19th IEEE Conference on Business Informatics, CBI 2017; Thessaloniki; Greece; 24 July 2017 through 27 July 2017. Ed.: B. Theodoulidis, 150–157, IEEE, Piscataway (NJ). doi:10.1109/CBI.2017.43