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Occupational behaviour study in the retail sector

2021Conference object Restricted access
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dc.contributor.authorSena, Inês
dc.contributor.authorFernandes, Florbela P.
dc.contributor.authorPacheco, Maria F.
dc.contributor.authorPires, Abel A.C.
dc.contributor.authorMaia, Jaime P.
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2022-04-05T14:14:34Z
dc.date.available2022-04-05T14:14:34Z
dc.date.issued2021
dc.description.abstractThe health, safety, and well-being of employees, service providers, and customers are important priorities for retail companies. Based on this principle, an intelligent system that contributes to the reduction of accidents at work will be developed, monitoring risk control, preventing work-related illnesses, promoting a culture of zero accidents, and seeking to ensure the health of employees, customers, and stakeholders. In order to achieve such goals, it is necessary to determine the local and global variables (internal and external) that feed the system. This study comprises the first strategy applied to collect the local variables involved in the problem. To obtain this, a data analysis study in a retail store was performed. Data analysis procedures were performed namely clustering analysis with algorithm k-means, correlation procedures, like Pearson coefficient and matrix of correlation, and relationship analysis with parallel coordinate graphs. From the preliminary results, it is possible to indicate a set of local variables that have influence in the occupational behavior and accidents at work.pt_PT
dc.description.sponsorshipThis work has also been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope UIDB/05757/2020 and project iSafety Norte 2020 n. 072598.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSena, Inês; Fernandes, Florbela P.; Pacheco, Pires, Abel A.C.; Maia, Jaime P.; Maria F.; Pereira, Ana I. (2021). Occupational behaviour study in the retail sector. In Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Pacheco, Maria F.; Alves, Paulo; Lopes, Rui Pedro (Eds.) Optimization, learning algorithms and applications: first International Conference, OL2A 2021. Cham: Springer Nature. p. 617-629. ISBN 978-3-030-91884-2pt_PT
dc.identifier.doi10.1007/978-3-030-91885-9_45pt_PT
dc.identifier.isbn978-3-030-91884-2
dc.identifier.urihttp://hdl.handle.net/10198/25349
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectData analysispt_PT
dc.subjectPredictive modelspt_PT
dc.subjectHealth and safetypt_PT
dc.titleOccupational behaviour study in the retail sectorpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceBragançapt_PT
oaire.citation.endPage629pt_PT
oaire.citation.startPage617pt_PT
oaire.citation.titleOptimization, learning algorithms and applications: first International Conference, OL2A 2021pt_PT
oaire.citation.volume1488pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSena
person.familyNameFernandes
person.familyNamePacheco
person.familyNamePereira
person.givenNameInês
person.givenNameFlorbela P.
person.givenNameMaria F.
person.givenNameAna I.
person.identifier.ciencia-idDC10-817D-21B5
person.identifier.ciencia-id501D-6FD0-CC53
person.identifier.ciencia-idF319-DAC3-8F15
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0003-4995-4799
person.identifier.orcid0000-0001-9542-4460
person.identifier.orcid0000-0001-7915-0391
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id57222722951
person.identifier.scopus-author-id35179471000
person.identifier.scopus-author-id36802474600
person.identifier.scopus-author-id15071961600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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