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Tool Support for Design Science Research—Towards a Software Ecosystem: A Report from a DESRIST 2017 Workshop

Morana, Stefan 1; Brocke, Jan vom; Maedche, Alexander 1; Seidel, Stefan; Adam, Marc T. P.; Bub, Udo; Fettke, Peter; Gau, Michael ORCID iD icon; Herwix, Alexander; Mullarkey, Matthew T.; Nguyen, Hoang D.; Sjöström, Jonas; Toreini, Peyman 1; Wessel, Lauri; Winter, Robert
1 Karlsruher Institut für Technologie (KIT)

Abstract:

The information systems (IS) field contains a rich body of knowledge on approaches, methods, and frameworks that supports researchers in conducting design science research (DSR). It also contains some consensus about the key elements of DSR projects—such as problem identification, design, implementation, evaluation, and abstraction of design knowledge. Still, we lack any commonly accepted tools that address the needs of DSR scholars who seek to structure, manage, and present their projects. Indeed, DSR endeavors, which are often complex and multi-faceted in nature and involve various stakeholders (e.g., researchers, developers, practitioners, and others), require the support that such tools provide. Thus, to investigate the tools that DSR scholars actually need to effectively and efficiently perform their work, we conducted an open workshop with DSR scholars at the 2017 DESRIST conference in Karlsruhe, Germany, to debate 1) the general requirement categories of DSR tool support and 2) the more specific requirements. This paper reports on the results from this workshop. Specifically, we identify nine categories of requirements that fall into the three broad phases (pre-design, design, and post design) and that contribute to a software ecosystem for supporting DSR endeavors.


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Originalveröffentlichung
DOI: 10.17705/1CAIS.04317
Scopus
Zitationen: 13
Dimensions
Zitationen: 4
Zugehörige Institution(en) am KIT Fakultät für Wirtschaftswissenschaften – Institut für Informationswirtschaft und Marketing (IISM)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 1529-3181
KITopen-ID: 1000086185
Erschienen in Communications of the Association for Information Systems
Verlag Association for Information Systems (AIS)
Band 43
Heft Article 17
Seiten 239 - 256
Nachgewiesen in Scopus
Dimensions
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