The case for design science utility and quality - Evaluation of design science artifact within the sustainable ICT capability maturity framework
Markus Helfert, Brian Donnellan, Łukasz Ostrowski
Abstract
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Markus Helfert, Brian Donnellan, Łukasz Ostrowski
Abstract
Open-access reader
Despite the increasing popularity of design science research, evaluating design artefacts is still challenging. Several guidelines and suggestions have been proposed, however combining practical utility and academic rigor can be difficult, in particular when research is co-funded by industry. In this research-in-progress paper we describe a novel IT Management model, the IT Capability Maturity Framework and its design process. In order to incorporate the evaluation of design artifacts along the design process within an open innovation community, we propose to use common information quality criteria and evaluate the design artefacts using the quality model. Particular focus is given to address both practical usability as well as rigor of the evaluation criteria by using well established information quality criteria. The research emphasizes the importance of evaluation and utility in Design Science Research.
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Despite the increasing popularity of design science research, evaluating design artefacts is still challenging. Several guidelines and suggestions have been proposed, however combining practical utility and academic rigor can be difficult, in particular when research is co-funded by industry. In this research-in-progress paper we describe a novel IT Management model, the IT Capability Maturity Framework and its design process. In order to incorporate the evaluation of design artifacts along the design process within an open innovation community, we propose to use common information quality criteria and evaluate the design artefacts using the quality model. Particular focus is given to address both practical usability as well as rigor of the evaluation criteria by using well established information quality criteria. The research emphasizes the importance of evaluation and utility in Design Science Research.
Key concepts: Design science research, Design science, Computer science, Artifact (error), Context (archaeology), Quality (philosophy), Consistency (knowledge bases), Data science