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Digital innovation diffusion: a case study of an X-reality innovation diffusion
Umeå University, Faculty of Social Sciences, Department of Informatics. (Swedish Center for Digital Innovation)ORCID iD: 0009-0000-0598-5046
Umeå University, Faculty of Social Sciences, Department of Informatics. (Swedish Center for Digital Innovation)
2023 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

Digital innovation (DI) has enabled businesses to enhance their existing market offerings by integrating digital features. Despite advanced technologies, substantial marketing efforts, and global recognition, businesses can still struggle to convince customers to adopt their digital market offerings. This process of spreading novel innovation is known as diffusion. In the fast-growing digital world, due to the unique characteristics of DI, traditional diffusion theories and models show limited explanatory power, creating challenges for researchers and practitioners alike. With the aim of exploring these challenges, we position our research within the IS literature with the following research question:"How and why do diffusion enablers and barriers emerge during digital innovation?". We conducted an interpretive case study of Company X, one of the world's largest consulting firms and an active DI practitioner. Our findings suggest that digital innovation diffusion can be enabled or hindered by several understudied interdependencies in its technological architecture. Furthermore, for successful diffusion, how DI distributes the division of labor between actors and subsequent layers must be effectively embedded and aligned for value in the clients' context in order to diffuse successfully. This study provides novel insights and compelling research avenues. 

Place, publisher, year, edition, pages
2023.
Keywords [en]
Digital Innovation, Diffusion, Layered Modular Architecture, Technological Embedding, Service-Dominant Logic
National Category
Information Systems, Social aspects
Research subject
computer and systems sciences
Identifiers
URN: urn:nbn:se:umu:diva-217655OAI: oai:DiVA.org:umu-217655DiVA, id: diva2:1818374
Conference
The 46th Information Systems Research Seminar in Scandinavia (IRIS2023), Porvoo, Finland, August 13-16, 2023
Available from: 2023-12-11 Created: 2023-12-11 Last updated: 2023-12-11Bibliographically approved

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fulltext(451 kB)91 downloads
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Sjöström, HannesSivakumar, PavithraSkog, Daniel A.

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf