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Dependencies as a barrier for continuous innovation in cyber-physical systems
Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013). RISE Research Institutes of Sweden, Sweden.ORCID iD: 0000-0002-3281-7942
RISE Research Institutes of Sweden, Sweden.
RISE Research Institutes of Sweden, Sweden.
2023 (English)In: International Journal of Technology Management, ISSN 0267-5730, E-ISSN 1741-5276, Vol. 93, no 3-4, p. 194-219Article in journal (Refereed) Published
Abstract [en]

In the automotive domain, as an example of cyber-physical systems, continuous software deployment is actively explored to deliver increasingly capable features to existing fleets of vehicles. The distributed nature of software coupled with tight hardware integration and potentially tremendous variability between vehicles make ensuring compatibility of updated software a significant challenge - both technically and managerially. While the automotive industry commonly forms larger multi-brand organisations to utilise economies of scale, processes for continuous deployment contradictory assumes a single organisation with full control. This paper sets out to shed light on challenges of adopting continuous deployment in the context of such a multi-brand cyber-physical systems organisation. Following a case study, the paper describes a tension between the managerial perspective concerned with platform strategies, and the engineering perspective responsible for developing products from those platforms. The paper highlights software dependencies as a barrier to continuous innovation of cyber-physical systems in multi-brand organisations.

Place, publisher, year, edition, pages
InderScience Publishers, 2023. Vol. 93, no 3-4, p. 194-219
Keywords [en]
dependencies, product architecture, cyber-physical system, continuous deployment, continuous innovation, automotive, multi-brand organisations, product platform, agile software development, continuous integration
National Category
Software Engineering Production Engineering, Human Work Science and Ergonomics
Research subject
Business Administration
Identifiers
URN: urn:nbn:se:kau:diva-97297DOI: 10.1504/IJTM.2023.133915ISI: 001084395200001Scopus ID: 2-s2.0-85174302916OAI: oai:DiVA.org:kau-97297DiVA, id: diva2:1809350
Available from: 2023-11-03 Created: 2023-11-03 Last updated: 2023-11-27Bibliographically approved

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Jagstedt, Siri

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CiteExportLink to record
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  • apa
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  • de-DE
  • en-GB
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  • nn-NB
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  • Other locale
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Output format
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