KSRI | Karlsruhe Service Research Institute
Portrait

M.Sc. Fabian Hunke

  • Kaiserstraße 89
    Gebäude 05.20, Raum 4B-08
    D-76133 Karlsruhe

Activities

Fabian Hunke studied Industrial Engineering and Management at the Karlsruhe Institute of Technology. In this context the participated in the Service-Design-Thinking program at KSRI. Since May 2016 he has worked as a research associate in the group Digital Service Innovation.

 

Research interests:

  • Data Driven Business Models
  • Business Model Patterns
  • Industrie 4.0


Projects:

  • BigDieMo - Business Models 4.0

 

Publications


2020
Conference Papers
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.
2020. Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm and Uppsala, Sweden, June 8 - 14, 2019. Research Papers., Association for Information Systems 
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 
Designing Analytics-Based Services – Exploring Design Requirements for Methodological Tool Assistance in Service Design Teams.
Hunke, F.; Kiefer, F.
2020. 15. Internationaler Kongress für Wirtschaftsinformatik (WI), Potsdam, 9 - 11 März 2020 
Conceptualizing the Role of Blockchain Technology in Digital Platform Business.
Schulze, T.; Seebacher, S.; Hunke, F.
2020. Exploring Service Science. 10th International Conference, IESS 2020, Porto, Portugal, February 5–7, 2020, Proceedings. Ed.: H. Nóvoa, 150–163, Springer, Cham. doi:10.1007/978-3-030-38724-2_11
Pathways from Data to Value: Identifying Strategic Archetypes of Analytics-Based Services [in press].
Hunke, F.; Seebacher, S.; Schüritz, R.; Satzger, G.
2020. 15. Internationaler Kongress für Wirtschaftsinformatik (WI), Potsdam, 9 - 11 März 2020 
Images
BigDieMo - Key Activities.
Schüritz, R.; Hunke, F.; Seebacher, S.; Jonas, J.; Genennig, S.; Schymanietz, M.; Kühne, B.; Ditterich, D.; Köpschall, M.; Eckerle, C.
2020. (G. Satzger, K. Möslein & T. Böhmann, Eds.). doi:10.5445/IR/1000117928
BigDieMo - Cost Structure.
Schüritz, R.; Hunke, F.; Seebacher, S.; Jonas, J.; Genennig, S.; Schymanietz, M.; Kühne, B.; Ditterich, D.; Köpschall, M.; Eckerle, C.
2020. (G. Satzger, K. Möslein & T. Böhmann, Eds.). doi:10.5445/IR/1000117927
BigDieMo - Value Proposition.
Schüritz, R.; Hunke, F.; Seebacher, S.; Jonas, J.; Genennig, S.; Schymanietz, M.; Kühne, B.; Ditterich, D.; Köpschall, M.; Eckerle, C.
2020. (G. Satzger, K. Möslein & T. Böhmann, Eds.). doi:10.5445/IR/1000117926
BigDieMo - Channels.
Schüritz, R.; Hunke, F.; Seebacher, S.; Jonas, J.; Genennig, S.; Schymanietz, M.; Kühne, B.; Ditterich, D.; Köpschall, M.; Eckerle, C.
2020. (G. Satzger, K. Möslein & T. Böhmann, Eds.). doi:10.5445/IR/1000117925
BigDieMo - Revenue Models.
Schüritz, R.; Hunke, F.; Seebacher, S.; Jonas, J.; Genennig, S.; Schymanietz, M.; Kühne, B.; Ditterich, D.; Köpschall, M.; Eckerle, C.
2020. (G. Satzger, K. Möslein & T. Böhmann, Eds.). doi:10.5445/IR/1000117924
BigDieMo - Validation.
Schüritz, R.; Hunke, F.; Seebacher, S.; Jonas, J.; Genennig, S.; Schymanietz, M.; Kühne, B.; Ditterich, D.; Köpschall, M.; Eckerle, C.
2020. (G. Satzger, K. Möslein & T. Böhmann, Eds.). doi:10.5445/IR/1000117923
BigDieMo - Data Canvas.
Schüritz, R.; Hunke, F.; Seebacher, S.; Jonas, J.; Genennig, S.; Schymanietz, M.; Kühne, B.; Ditterich, D.; Köpschall, M.; Eckerle, C.
2020. (G. Satzger, K. Möslein & T. Böhmann, Eds.). doi:10.5445/IR/1000117922
2019
Book Chapters
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
Conference Papers
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 
Presentations
Not Just Selling Data - How Companies Co-Create Value in Analytics-Based Service Innovation.
Schüritz, R.; Farrell, K.; Hunke, F.; Satzger, G.
2019. Frontiers in Service Conference (2019), Singapore, Singapore, July 18–21, 2019 
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, Germany, April 8–9, 2019 
Teaching Materials
BigDieMo - Karten.
Schüritz, R.; Hunke, F.; Seebacher, S.; Jonas, J.; Genennig, S.; Schymanietz, M.; Kühne, B.; Ditterich, D.; Köpschall, M.; Eckerle, C.
2019, March 22. (G. Satzger, K. Möslein & T. Böhmann, Eds.) Full textFull text of the publication as PDF document
2018
Books
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, Eds.), KSRI, Karlsruhe Full textFull text of the publication as PDF document
Journal Articles
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) Full textFull text of the publication as PDF document
Conference Papers
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
2017
Book Chapters
Empirische Studie I : Identifizierung von Elektromobilitätsdienstleistungstypen aus dem Atlas mit Data Mining.
Kühl, N.; Hunke, F.
2017. Mit Informationstechnologien zu innovativen Dienstleistungen und Geschäftsmodellen in der Elektromobilität : Empirische Studien zu Geschäftsmodellen und IT für Elektromobilitätsdienstleistungen. Hrsg.: C. Stryja, 43–51, Fraunhofer Verlag, Stuttgart 
Journal Articles
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) 
Conference Papers
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 
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
Towards a Unified Approach to Identify Business Model Patterns : A Case of E-Mobility Services.
Hunke, F.; Schüritz, R.; Kühl, N.
2017. 8th International Conference on Exploring Service Science, IESS 2017, Rome, Italy, 24th - 26th May 2017. Ed. : M. Dragoicea, 182–196, Springer International Publishing, Cham. doi:10.1007/978-3-319-56925-3_15