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 |
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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 | |
Publication status | Published - 2023 |
Event | 36th Bled eConference: BLED 2023 - Bled, Slovenia Duration: 25 Jun 2023 → 28 Jun 2023 |
Conference
Conference | 36th Bled eConference |
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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