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dc.contributor.authorMuurlink, Olaven_US
dc.contributor.authorWilkinson, Adrianen_US
dc.contributor.authorPeetz, Daviden_US
dc.contributor.authorTownsend, Keithen_US
dc.date.accessioned2017-04-24T10:10:37Z
dc.date.available2017-04-24T10:10:37Z
dc.date.issued2011en_US
dc.date.modified2012-02-10T01:10:48Z
dc.identifier.issn00049018en_US
dc.identifier.doi10.1111/j.1467-8462.2011.00642.xen_US
dc.identifier.urihttp://hdl.handle.net/10072/41897
dc.description.abstractIn identifying gazelles (generally defined in the literature as young, fast growing businesses) researchers traditionally rely on commercially available databases not designed for scholarly work, to identify a pool of suitable study participants. This paper discusses systemic biases in the most commonly-deployed databased used in gazelle studies, the Dun and Bradstreet database, with a focus on the Australian market.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherWiley-Blackwell Publishing Asiaen_US
dc.publisher.placeAustraliaen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom338en_US
dc.relation.ispartofpageto346en_US
dc.relation.ispartofissue3en_US
dc.relation.ispartofjournalAustralian Economic Reviewen_US
dc.relation.ispartofvolume44en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchBusiness Information Management (incl. Records, Knowledge and Information Management, and Intelligence)en_US
dc.subject.fieldofresearchcode150301en_US
dc.titleCompany Births, Deaths and Marriages: Flaws in Age Fields in Business Microdataen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.date.issued2011
gro.hasfulltextNo Full Text


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