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Digital Service Innovation Enabled by Big Data Analytics: A Review and the Way Forward
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-4250-4752
Number of Authors: 3
2017 (English)In: Proceedings of the 50th Hawaii International Conference on System Sciences 2017, 2017Conference paper (Refereed)
Abstract [en]

Service innovation is attracting attention with the expanding service industries and economies. Accompanied by major developments in ICT and sensory and digital technologies, the interest in digital service innovation (DSI), both from academia and industry, is increasing. Digitization and the accompanying technological advancements are leading to phenomena that call for extensive research in relation to service innovation; one of which is big data analytics (BDA). In this paper, we review the DSI literature and explore how BDA can contribute along the different dimensions of DSI. The ex post literature suffers from the lack of such studies. Accordingly, we suggest a research agenda for BDA-enabled DSI, motivated by emerging research gaps, as well as opportunities and guiding research questions. It is expected that such research agenda will contribute to shape an ex ante research efforts in an attempt to advance the state-of-the-art in BDA-enabled DSI.

Place, publisher, year, edition, pages
2017.
Keyword [en]
Big Data, Analytics, Service Innovation, Digital Services, Review
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-61095OAI: oai:DiVA.org:ltu-61095DiVA: diva2:1056816
Conference
Hawaii International Conference on System Sciences (HICSS), Jan 4-7 2017
Available from: 2016-12-15 Created: 2016-12-15 Last updated: 2017-02-23

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Rizk, AyaBergvall-Kåreborn, BirgittaElragal, Ahmed
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
  • en-GB
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  • Other locale
More languages
Output format
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