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dc.contributor.authorMourmant, Gaëtan
dc.date.accessioned2014-03-03T13:43:55Z
dc.date.available2014-03-03T13:43:55Z
dc.date.issued2009
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/12793
dc.language.isoenen
dc.subjectClassificationen
dc.subjectInformatique‎en
dc.subjectPersonnelen
dc.subjectRotationen
dc.subjectunfolding model of voluntary turnoveren
dc.subjectJobs in ITen
dc.subject.ddc658.3en
dc.subject.classificationjelM15en
dc.subject.classificationjelJ63en
dc.subject.classificationjelM12en
dc.subject.classificationjelM51en
dc.titleA necessary clarification of the unfolding model of voluntary turnoveren
dc.typeCommunication / Conférence
dc.description.abstractenThe unfolding model of voluntary turnover, as tested by Niederman et al. [1], surprisingly appears to only capture 12% of the job leavers in IT, whereas when applied to other occupational groups, such as accountant or nurses, this ratio is much higher (respectively 92% and 77%). To address this issue, we take a closer look at the classification rules of the original model and we clarify them, highlighting the discrepancy between figure 1 of Lee et al. [2] and their written explanations, [3], [2]. Acknowledging a lack of clarity of those rules, we clarify the meaning of the logical impossibility of the joint existence of an engaged script with a search/evaluation of alternatives. In addition, we discuss the path-switching approach, [3]. Considering this clarification of the classification rules, we recalculate the results of two previous studies ([1] [4]) and we compare and assess those results with the other replications of the model. Those results suggest that a more parsimonious model (i.e. only path 1, 3 and 4b, with engaged script only present in path 1) may be sufficient to capture the majority of those leaving jobs in IT (74% and above).en
dc.identifier.citationpages143-152en
dc.relation.ispartoftitleProceedings of the special interest group on management information system's 47th annual conference on Computer personnel researchen
dc.relation.ispartofeditorPower, Norah
dc.relation.ispartofeditorKaiser, Kate
dc.relation.ispartofeditorDowney, Jack
dc.relation.ispartofeditorJoseph, Damien
dc.relation.ispartofpublnameACMen
dc.relation.ispartofpublcityNew Yorken
dc.relation.ispartofdate2009
dc.relation.ispartofpagesX-231 p.en
dc.subject.ddclabelRessources humainesen
dc.relation.ispartofisbn978-1-60558-427-0en
dc.relation.conftitleSIGMIS-CPR '09 2009 Computer Personnel Research Conferenceen
dc.relation.confdate2009-05
dc.relation.confcityLimericken
dc.relation.confcountryIrlandeen
dc.relation.forthcomingnonen
dc.identifier.doihttp://dx.doi.org/10.1145/1542130.1542159en


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