dc.creator | Aa, Han van der | es |
dc.creator | Río Ortega, Adela del | es |
dc.creator | Resinas Arias de Reyna, Manuel | es |
dc.creator | Leopold, Henrik | es |
dc.creator | Ruiz Cortés, Antonio | es |
dc.creator | Mendling, Jan | es |
dc.creator | Reijers, Hajo A. | es |
dc.date.accessioned | 2022-03-21T11:14:36Z | |
dc.date.available | 2022-03-21T11:14:36Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Aa, H.v.d., Río Ortega, A.d., Resinas Arias de Reyna, M., Leopold, H., Ruiz Cortés, A., Mendling, J. y Reijers, H.A. (2016). Narrowing the Business-IT Gap in Process Performance Measurement. En CAiSE 2016 : 28th International Conference on Advanced Information Systems Engineering (543-557), Ljubljana, Slovenia: Springer. | |
dc.identifier.isbn | 978-3-319-39695-8 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/131088 | |
dc.description.abstract | To determine whether strategic goals are met, organizations
must monitor how their business processes perform. Process Performance
Indicators (PPIs) are used to specify relevant performance requirements.
The formulation of PPIs is typically a managerial concern. Therefore,
considerable effort has to be invested to relate PPIs, described by man agement, to the exact operational and technical characteristics of busi ness processes. This work presents an approach to support this task,
which would otherwise be a laborious and time-consuming endeavor.
The presented approach can automatically establish links between PPIs,
as formulated in natural language, with operational details, as described
in process models. To do so, we employ machine learning and natural
language processing techniques. A quantitative evaluation on the basis
of a collection of 173 real-world PPIs demonstrates that the proposed
approach works well. | es |
dc.description.sponsorship | European Union Horizon 2020 No. 645751 (RISE BPM) | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2012–32273 (TAPAS) | es |
dc.description.sponsorship | Junta de Andalucía TIC–5906 (THEOS) | es |
dc.description.sponsorship | Junta de Andalucia COPAS (P12–TIC-1867)) | es |
dc.format | application/pdf | es |
dc.format.extent | 15 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | CAiSE 2016 : 28th International Conference on Advanced Information Systems Engineering (2016), pp. 543-557. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Performance Measurement | es |
dc.subject | Process performance indicators | es |
dc.subject | Model alignment | es |
dc.subject | Natural language processing | es |
dc.title | Narrowing the Business-IT Gap in Process Performance Measurement | es |
dc.type | info:eu-repo/semantics/conferenceObject | 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 | No. 645751 (RISE BPM) | es |
dc.relation.projectID | TIN2012–32273 (TAPAS) | es |
dc.relation.projectID | TIC–5906 (THEOS) | es |
dc.relation.projectID | COPAS (P12–TIC-1867)) | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-39696-5_33 | es |
dc.identifier.doi | 10.1007/978-3-319-39696-5_33 | es |
dc.contributor.group | Universidad de Sevilla. TIC205: Ingeniería del Software Aplicada | es |
dc.publication.initialPage | 543 | es |
dc.publication.endPage | 557 | es |
dc.eventtitle | CAiSE 2016 : 28th International Conference on Advanced Information Systems Engineering | es |
dc.eventinstitution | Ljubljana, Slovenia | es |
dc.relation.publicationplace | Cham, Switzerland | es |
dc.contributor.funder | European Union (UE). H2020 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | Junta de Andalucía | es |