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How is Information Systems Research Justified? An Analysis of Justifications Given by Authors

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dc.contributor.author Spindeldreher, Kai
dc.contributor.author Schlagwein, Daniel
dc.contributor.author Schoder, Detlef
dc.date.accessioned 2020-01-04T08:21:38Z
dc.date.available 2020-01-04T08:21:38Z
dc.date.issued 2020-01-07
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64437
dc.description.abstract This study analyses how Information Systems (IS) research is justified by authors. We assess how authors justify their research endeavors based on published IS research papers. We use justification theory [11], which along with later work, identifies seven different value systems (i.e., orders of worth) as co-existing in society, as a conceptual foundation. We qualitatively and quantitatively analyze the justifications in published IS research papers. We provide a breakdown of the justifications used in IS research. Our findings show that the importance and relevance of IS research is predominantly justified in reference to three orders of worth (market, industrial and civic values) at the neglect of the four other orders of worth (domestic, inspiration, fame, green) that equally exist in society. We provide suggestions to stimulate a broader consideration of research topics in relation to these other orders of worth and hence alternative sources of justification for authors.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Knowing What We Know: Theory, Meta-analysis, and Review
dc.subject is research
dc.subject justification
dc.subject legitimacy
dc.subject literature review
dc.subject orders of worth
dc.title How is Information Systems Research Justified? An Analysis of Justifications Given by Authors
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2020.695
Appears in Collections: Knowing What We Know: Theory, Meta-analysis, and Review


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