Design Science Research: Evaluation in the Lens of Big Data Analytics
AbstractGiven 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. View Full-Text
Share & Cite This Article
Elragal, A.; Haddara, M. Design Science Research: Evaluation in the Lens of Big Data Analytics. Systems 2019, 7, 27.
Elragal A, Haddara M. Design Science Research: Evaluation in the Lens of Big Data Analytics. Systems. 2019; 7(2):27.Chicago/Turabian Style
Elragal, Ahmed; Haddara, Moutaz. 2019. "Design Science Research: Evaluation in the Lens of Big Data Analytics." Systems 7, no. 2: 27.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.