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dc.contributor.authorPappas, Ilias
dc.contributor.authorWoodside, Arch G.
dc.date.accessioned2021-03-19T07:52:48Z
dc.date.available2021-03-19T07:52:48Z
dc.date.created2021-02-05T12:39:50Z
dc.date.issued2021
dc.identifier.issn0268-4012
dc.identifier.urihttps://hdl.handle.net/11250/2734376
dc.description.abstractThe increasing interest in fuzzy-set Qualitative Comparative Analysis (fsQCA) in Information Systems and marketing raises the need for a tutorial paper that discusses the basic concepts and principles of the method, provide answers to typical questions that editors, reviewers, and authors would have when dealing with a new tool of analysis, and practically guide researchers on how to employ fsQCA. This article helps the reader to gain richer information from their data and understand the importance of avoiding shallow information‐from‐data reporting. To this end, it proposes a different research paradigm that includes asymmetric, configurational‐focused case‐outcome theory construction and somewhat precise outcome testing. This article offers a detailed step-by-step guide on how to employ fsQCA by using as an example an already published study. We analyze the same dataset and present all the details in each step of the analysis to guide the reader onto how to employ fsQCA. The article discusses differences between fsQCA and variance-based approaches and compares fsQCA with those from structured equation modelling. Finally, the article offers a summary of thresholds and guidelines for practice, along with a discussion on how existing papers that employ variance-based methods are extendable and complemented through fsQCA.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleFuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume58en_US
dc.source.journalInternational Journal of Information Managementen_US
dc.identifier.doi10.1016/j.ijinfomgt.2021.102310
dc.identifier.cristin1887096
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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