2012
DOI: 10.1007/978-3-642-29863-9_28
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Evaluations in the Science of the Artificial – Reconsidering the Build-Evaluate Pattern in Design Science Research

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Cited by 185 publications
(158 citation statements)
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“…In this setup, both ex ante and ex post evaluation activities ensure that the design solution fits the problem and produces value for its users while providing further design insights. To do this rigorously, these activities are aligned with the DSR evaluation framework of Sonnenberg and vom Brocke (2012). Thus, we divide the evaluation into four parts: (1) ex ante evaluation of the problem, (2) ex ante evaluation of the design targets, (3) ex post evaluation of the instance solution's concepts, and (4) ex post evaluation of the artifact's utility.…”
Section: Methodological Frameworkmentioning
confidence: 99%
See 1 more Smart Citation
“…In this setup, both ex ante and ex post evaluation activities ensure that the design solution fits the problem and produces value for its users while providing further design insights. To do this rigorously, these activities are aligned with the DSR evaluation framework of Sonnenberg and vom Brocke (2012). Thus, we divide the evaluation into four parts: (1) ex ante evaluation of the problem, (2) ex ante evaluation of the design targets, (3) ex post evaluation of the instance solution's concepts, and (4) ex post evaluation of the artifact's utility.…”
Section: Methodological Frameworkmentioning
confidence: 99%
“…The main variable of interest is the knowledge gain induced by the new artifact and advice-giving process. While such an evaluation can tell whether or not the artifact works (Sonnenberg and vom Brocke 2012), it provides few or no insights into the solution's use. While assessing the use (proof-of-use) (cf.…”
Section: Evaluation Of the Implementationmentioning
confidence: 99%
“…Unlike theories in the natural sciences that are traditionally represented by language or mathematics, the artifact itself has representational and communicative power (Gregor and Jones, 2007). The description of an artifact can communicate the design principles of a theory by outlining the artifact's feasibility, applicability, and usefulness at build time as well as at run time (Sonnenberg and vom Brocke, 2012). This process, called projection, plays a fundamental role in validating the theory in specific contexts (Pries-Heje and .…”
mentioning
confidence: 99%
“…With regard to evaluation strategies, Sonnenberg and vom Brocke [66] propose to conduct the artifact evaluation throughout the whole process. Upon the nature of our artifact, we selected the observational method case study [45] as suitable and studied it in an appropriate business environment with the evaluation technique of expert interviews [66].…”
Section: Taxonomy Development and Evaluationmentioning
confidence: 99%
“…Upon the nature of our artifact, we selected the observational method case study [45] as suitable and studied it in an appropriate business environment with the evaluation technique of expert interviews [66]. The interviews were conducted with product developers and decision makers from the case organization MachineCorp, ForkLift, and CarSupply with two professionals each continuously during the design science research activities.…”
Section: Taxonomy Development and Evaluationmentioning
confidence: 99%