dc.creator | Pérez Álvarez, José Miguel | es |
dc.creator | Maté, Alejandro | es |
dc.creator | Gómez López, María Teresa | es |
dc.creator | Trujillo, Juan | es |
dc.date.accessioned | 2022-10-31T09:56:50Z | |
dc.date.available | 2022-10-31T09:56:50Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Pérez Álvarez, J.M., Maté, A., Gómez López, M.T. y Trujillo, J. (2018). Tactical Business-Process-Decision Support based on KPIs Monitoring and Validation. Computers in Industry, 102 (November 2018), 23-39. https://doi.org/10.1016/j.compind.2018.08.001. | |
dc.identifier.issn | 0166-3615 | es |
dc.identifier.uri | https://hdl.handle.net/11441/138500 | |
dc.description.abstract | Key Performance Indicators (KPIs) can be used to evaluate the success of an organization, facilitating the
detection of the deviations and unexpected evolution of the behaviour of a company. The difficulty for
enterprises is to ascertain what to do when a deviation is detected. In this paper, we propose a modelling
approach to improve the operational business-level and to ascertain the possible actions that can be
executed to maintain the right direction in a company. For business process-oriented companies, it
entails knowing how KPIs can be affected by the business processes. It implies not only pointing outthat a
system malfunction exists, but also to know what to do when a deviation is detected. Our proposal
presents a methodology that covers: (1) an extension of the existing models in order to combine KPIs,
goals of the companies, and the decision variables together with business processes; (2) a methodology
based on data mining analysis to verify the correctness of the enriched proposed model according to the
data stored during business evolution, and; (3) a framework to simulate the evolution of the business
according to the decisions taken in the governance process, thereby supporting governance activities to
achieve the defined objectives by exploiting goals and KPIs from the proposed model. | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología TIN2015-63502-C3-3-R | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología TIN2015-63502-C3-2-R | es |
dc.format | application/pdf | es |
dc.format.extent | 17 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Computers in Industry, 102 (November 2018), 23-39. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Governance | es |
dc.subject | Business processes | es |
dc.subject | Decisions support | es |
dc.subject | Fuzzy logic | es |
dc.subject | Modelling knowledge | es |
dc.subject | KPIs | es |
dc.title | Tactical Business-Process-Decision Support based on KPIs Monitoring and Validation | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | TIN2015-63502-C3-3-R | es |
dc.relation.projectID | TIN2015-63502-C3-2-R | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0166361517307819?via%3Dihub | es |
dc.identifier.doi | 10.1016/j.compind.2018.08.001 | es |
dc.contributor.group | Universidad de Sevilla. TIC-258: Data-centric Computing Research Hub | es |
dc.journaltitle | Computers in Industry | es |
dc.publication.volumen | 102 | es |
dc.publication.issue | November 2018 | es |
dc.publication.initialPage | 23 | es |
dc.publication.endPage | 39 | es |
dc.contributor.funder | Ministerio de Ciencia Y Tecnología (MCYT). España | es |