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Design Science Research: Evaluation in the Lens of Big Data Analytics
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems.ORCID iD: 0000-0003-4250-4752
Department of Technology, Kristiania University College, Oslo, Norway.
2019 (English)In: Systems, ISSN 2079-8954, Vol. 7, no 2, article id 27Article in journal (Refereed) Published
Abstract [en]

Abstract: Given the different types of artifacts and their various evaluation methods, one of the main challenges faced by researchers in design science research (DSR) is choosing suitable and efficient methods during the artifact evaluation phase. With the emergence of big data analytics, data scientists conducting DSR are also challenged with identifying suitable evaluation mechanisms for their data products. Hence, this conceptual research paper is set out to address the following questions. Does big data analytics impact how evaluation in DSR is conducted? If so, does it lead to a new type of evaluation or a new genre of DSR? We conclude by arguing that big data analytics should influence how evaluation is conducted, but it does not lead to the creation of a new genre of design research.

Place, publisher, year, edition, pages
MDPI, 2019. Vol. 7, no 2, article id 27
Keywords [en]
DSR, big data analytics, evaluation
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-74123DOI: 10.3390/systems7020027ISI: 000474932700009OAI: oai:DiVA.org:ltu-74123DiVA, id: diva2:1319466
Note

Validerad;2019;Nivå 2;2019-06-10 (oliekm)

Available from: 2019-06-01 Created: 2019-06-01 Last updated: 2019-08-23Bibliographically approved

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Elragal, Ahmed

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