Evaluating knowledge types in design science research: an integrated framework

Jacky Akoka (), Isabelle Comyn-Wattiau (), Veda C. Storey and Nicolas Prat ()
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Jacky Akoka: IMT-BS - DSI - Département Systèmes d'Information - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], CEDRIC - Centre d'études et de recherche en informatique et communications - ENSIIE - Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise - CNAM - Conservatoire National des Arts et Métiers [CNAM]
Isabelle Comyn-Wattiau: ESSEC Business School
Veda C. Storey: Georgia State University - USG - University System of Georgia
Nicolas Prat: ESSEC Business School

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Abstract: As the design science research (DSR) paradigm has evolved, several frameworks and taxonomies have been proposed to aid researchers in understanding and applying DSR principles and practices to evaluate the knowledge produced. This paper attempts to integrate two such efforts, the evaluation methods taxonomy and the genres of inquiry framework, in an attempt to derive a more complete evaluation standard. The integration is based on various knowledge types, using mapping and merging techniques. Doing so results in three artifacts. The first is the integrated framework which refines the genres of inquiry framework with six recognized knowledge types (definitional, descriptive, prescriptive, explanatory, predictive, and explanatory and predictive). Evaluation criteria for each knowledge type emerge from the integration. The second contribution is a guidance scheme that helps in determining relevant evaluation criteria, based upon the type of DSR contribution and the role of the evaluator (DSR researcher, author, reader, or reviewer). Finally, the approach to the integration, including the integration algorithm, is adaptable to other contexts where criteria to evaluate different knowledge types need to be integrated.

Keywords: Design Science Research; Nomothetic Design; Nomothetic Science; Evaluation Criteria; Evaluation Methods Taxonomy; Knowledge Types; Genres of Inquiry Framework; Mappings; Artifacts; Integrated evaluation framework (search for similar items in EconPapers)
Date: 2017
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Published in Designing the Digital Transformation : 12th International Conference, DESRIST 2017, Karlsruhe, Germany, May 30 – June 1, 2017, Proceedings, 10243, Springer International Publishing, pp.201 - 217, 2017, Lecture Notes in Computer Science, 978-3-319-59143-8. ⟨10.1007/978-3-319-59144-5_12⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02373871

DOI: 10.1007/978-3-319-59144-5_12

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