Towards Principles for a Data-Driven Business Model Innovation Process - a Design Science Case Study

Michael Fruhwirth; Viktoria Pammer-Schindler

doi:10.18690/um.fov.4.2023.35

Towards Principles for a Data-Driven Business Model Innovation Process - a Design Science Case Study

Michael Fruhwirth, Viktoria Pammer-Schindler

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Transforming an existing business model into a data-driven one is challenging. Tools, methods and processes can support organisations in that innovation. This paper presents a three-year interventionist case study with an automotive company, where we investigated how an innovation process towards data-driven business models should be designed. We analysed data from interviews, notes from company meetings and workshops, as well as learnings from supporting seven different data initiatives within the organisation. As a result, we present requirements that decision-makers have regarding a process and principles that guide the process design. The principles are not specific to datadriven business model innovation. However, at the level of operationalising the process, activities and actionable tools need to be specific to the goal of a business model innovation: how data and analytics can be used for new services and business models.

Original language	English
Title of host publication	36th Bled eConference
Subtitle of host publication	Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings
Editors	Andreja Pucihar, Mirjana Kljajic Borstnar, Roger Bons, Roger Bons, Guido Ongena, Marikka Heikkila, Doroteja Vidmar
Publisher	University of Maribor Press
Pages	545-560
Number of pages	16
ISBN (Electronic)	9789612867515
DOIs	https://doi.org/10.18690/um.fov.4.2023.35
Publication status	Published - 2023
Event	36th Bled eConference: BLED 2023 - Bled, Slovenia Duration: 25 Jun 2023 → 28 Jun 2023

Conference

Conference	36th Bled eConference
Abbreviated title	BLED 2023
Country/Territory	Slovenia
City	Bled
Period	25/06/23 → 28/06/23

Keywords

Bled eConference
business model innovation process
data-driven business models
design science research
interventionist case study

ASJC Scopus subject areas

Computer Science Applications
Management of Technology and Innovation
Computer Networks and Communications

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10.18690/um.fov.4.2023.35

Cite this

Fruhwirth, M., & Pammer-Schindler, V. (2023). Towards Principles for a Data-Driven Business Model Innovation Process - a Design Science Case Study. In A. Pucihar, M. K. Borstnar, R. Bons, R. Bons, G. Ongena, M. Heikkila, & D. Vidmar (Eds.), 36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings (pp. 545-560). University of Maribor Press. https://doi.org/10.18690/um.fov.4.2023.35

Towards Principles for a Data-Driven Business Model Innovation Process - a Design Science Case Study. / Fruhwirth, Michael; Pammer-Schindler, Viktoria.
36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings. ed. / Andreja Pucihar; Mirjana Kljajic Borstnar; Roger Bons; Roger Bons; Guido Ongena; Marikka Heikkila; Doroteja Vidmar. University of Maribor Press, 2023. p. 545-560.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Fruhwirth, M & Pammer-Schindler, V 2023, Towards Principles for a Data-Driven Business Model Innovation Process - a Design Science Case Study. in A Pucihar, MK Borstnar, R Bons, R Bons, G Ongena, M Heikkila & D Vidmar (eds), 36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings. University of Maribor Press, pp. 545-560, 36th Bled eConference, Bled, Slovenia, 25/06/23. https://doi.org/10.18690/um.fov.4.2023.35

Fruhwirth M, Pammer-Schindler V. Towards Principles for a Data-Driven Business Model Innovation Process - a Design Science Case Study. In Pucihar A, Borstnar MK, Bons R, Bons R, Ongena G, Heikkila M, Vidmar D, editors, 36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings. University of Maribor Press. 2023. p. 545-560 doi: 10.18690/um.fov.4.2023.35

Fruhwirth, Michael ; Pammer-Schindler, Viktoria. / Towards Principles for a Data-Driven Business Model Innovation Process - a Design Science Case Study. 36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings. editor / Andreja Pucihar ; Mirjana Kljajic Borstnar ; Roger Bons ; Roger Bons ; Guido Ongena ; Marikka Heikkila ; Doroteja Vidmar. University of Maribor Press, 2023. pp. 545-560

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Towards Principles for a Data-Driven Business Model Innovation Process - a Design Science Case Study

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