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.
Originalsprache | englisch |
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Titel | 36th Bled eConference |
Untertitel | Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings |
Redakteure/-innen | Andreja Pucihar, Mirjana Kljajic Borstnar, Roger Bons, Roger Bons, Guido Ongena, Marikka Heikkila, Doroteja Vidmar |
Herausgeber (Verlag) | University of Maribor Press |
Seiten | 545-560 |
Seitenumfang | 16 |
ISBN (elektronisch) | 9789612867515 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2023 |
Veranstaltung | 36th Bled eConference: BLED 2023 - Bled, Slowenien Dauer: 25 Juni 2023 → 28 Juni 2023 |
Konferenz
Konferenz | 36th Bled eConference |
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Kurztitel | BLED 2023 |
Land/Gebiet | Slowenien |
Ort | Bled |
Zeitraum | 25/06/23 → 28/06/23 |
ASJC Scopus subject areas
- Angewandte Informatik
- Technologie- und Innovationsmanagement
- Computernetzwerke und -kommunikation