Mostrar el registro sencillo del ítem

Ponencia

dc.creatorHarmoko, Harmokoes
dc.creatorJiménez Ramírez, Andréses
dc.creatorGonzález Enríquez, Josées
dc.creatorAxmann, Bernhardes
dc.date.accessioned2022-11-15T08:55:41Z
dc.date.available2022-11-15T08:55:41Z
dc.date.issued2022
dc.identifier.citationHarmoko, H., Jiménez Ramírez, A., González Enríquez, J. y Axmann, B. (2022). Identifying the Socio-Human Inputs and Implications in Robotic Process Automation (RPA): A Systematic Mapping Study. En BPM 2022: 20th International Conference on Business Process Management (185-199), Münster, Germany: Springer.
dc.identifier.isbn978-3-031-16167-4es
dc.identifier.issn1865-1348es
dc.identifier.urihttps://hdl.handle.net/11441/139419
dc.description.abstractRecent studies show that the success rate of Robotic Process Automation (RPA) projects is between 50 and 70%. In cases where they are not successful, most failures are caused by organizational factors, i.e., people and their social environment. People in the organization have a significant influence on the success of a RPA project. Likewise, the imple mentation of RPA will bring some implications to them as well. This research is a preliminary study on visualization socio-human implica tions (VoSHI) in the RPA projects. As one of the office automation tech nologies, the application of RPA provides economic benefits and social implications. Unfortunately, most studies highlight the benefits and lack discussions on the impact of RPA on humans. This paper presents a systematic mapping study to analyze the current state-of-the-art on this topic, recognizing the socio-human implications of RPA implementations described in the literature. The research analyzed 56 primary studies selected from both academic digital libraries and grey literature. The results showed 16 positive and 6 negative implications of RPA imple mentations for humans and their social environment. Furthermore, this research also found 6 positive and 13 negative inputs contributed by humans, which can influence RPA implementations.es
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades PID2019-105455GB-C31 (NICO)es
dc.formatapplication/pdfes
dc.format.extent15es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofBPM 2022: 20th International Conference on Business Process Management (2022), pp. 185-199.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRobotic process automation (RPA)es
dc.subjectHumanes
dc.subjectSociales
dc.subjectInputes
dc.subjectImplicationes
dc.titleIdentifying the Socio-Human Inputs and Implications in Robotic Process Automation (RPA): A Systematic Mapping Studyes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDPID2019-105455GB-C31 (NICO)es
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-031-16168-1_12es
dc.identifier.doi10.1007/978-3-031-16168-1_12es
dc.contributor.groupUniversidad de Sevilla. TEP108 : Robotica y Tecnología de Computadoreses
dc.publication.initialPage185es
dc.publication.endPage199es
dc.eventtitleBPM 2022: 20th International Conference on Business Process Managementes
dc.eventinstitutionMünster, Germanyes
dc.relation.publicationplaceCham, Switzerlandes
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (MICINN). Españaes

FicherosTamañoFormatoVerDescripción
978-3-031-16168-1_12.pdf2.514MbIcon   [PDF] Ver/Abrir  

Este registro aparece en las siguientes colecciones

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como: Attribution-NonCommercial-NoDerivatives 4.0 Internacional