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Bringing Human Factor to Business Intelligence

dc.contributor.authorSapateiro, Cláudio
dc.contributor.authorBernardo, Rui
dc.date.accessioned2019-07-03T09:30:59Z
dc.date.available2019-07-03T09:30:59Z
dc.date.issued2019-06
dc.descriptionTrabalho apresentado em 11th INEKA Conference, 11-13 junho 2019, Verona, Itáliapt_PT
dc.description.abstractStarting from Business Intelligence (BI) reference models, this work proposes to extend the multi-dimensional data modeling approach to integrate Human Factors (HF) related dimensions. The overall goal is to promote a fine grain understanding of derived Key Performance Indicators (KPIs) through an enhanced characterization of the operational level of work context. HF research has traditionally approached critical domains and complex socio-technical systems with a chief consideration of human situated action. Grounded on a review of the body of knowledge of the HF field this work proposes the Business Intelligence for Human Factors (BI4HF) framework. It intends to provide guidance on pertinent data identification, collection methods, modeling and integration within a BI project endeavor. BI4HF foundations are introduced and a use case on a manufacturing industry organization is presented. The outcome of the enacted BI project referred in the use case allowed new analytical capabilities regarding newly derived and existing KPIs related to operational performance.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/29147
dc.language.isoengpt_PT
dc.subjectHuman Factorspt_PT
dc.subjectData Modellingpt_PT
dc.subjectBusiness Intelligencept_PT
dc.titleBringing Human Factor to Business Intelligencept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceVerona, Itáliapt_PT
oaire.citation.title11th INEKA Conferencept_PT
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT

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