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Towards A Taxonomy of Data-driven Digital Services
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0001-8693-2295
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-4317-9963
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-4250-4752
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Digitization is transforming every domain nowadays, leading to a growing body of knowledge on digital service innovation. Coupled with the generation and collection of big data, data-driven digital services are becoming of great importance to business, economy and society. This paper aims to classify the different types of data-driven digital services, as a first step to understand their characteristics and dynamics. A taxonomy is developed and the emerging characteristics include data acquisition mechanisms, data exploitation, insights utilization, and service interaction characteristics. The examined services fall into 15 distinct types and are further clustered into 3 classes of types: distributed analytics intermediaries, visual data-driven services, and analytics-embedded services. Such contribution enables service designers and providers to understand the key aspects in utilizing data and analytics in the design and delivery of their services. The taxonomy is set out to shape the direction and scope of scholarly discourse around digital service innovation research and practice.

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2018.
Keyword [en]
Innovation, Digital services, Data-driven services, Big data, Taxonomy
National Category
Other Social Sciences not elsewhere specified Information Systems
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-66471OAI: oai:DiVA.org:ltu-66471DiVA, id: diva2:1155489
Conference
51st Hawaii International Conference on System Sciences, (HICSS), Waikoloa, United States, 3–6 January 2018
Projects
OrganiCity
Available from: 2017-11-08 Created: 2017-11-08 Last updated: 2018-01-13

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Taxonomy(454 kB)16 downloads
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Type fulltextMimetype application/pdf

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Rizk, AyaBergvall-Kåreborn, BirgittaElragal, Ahmed

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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More styles
Language
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More languages
Output format
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