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dc.contributor.author | Torres Bosch, Maria Victoria | es_ES |
dc.contributor.author | Serral, Estefanía | es_ES |
dc.contributor.author | Valderas, Pedro | es_ES |
dc.contributor.author | Pelechano Ferragud, Vicente | es_ES |
dc.contributor.author | Grefen, Paul | es_ES |
dc.date.accessioned | 2022-01-18T08:12:40Z | |
dc.date.available | 2022-01-18T08:12:40Z | |
dc.date.issued | 2020-06-24 | es_ES |
dc.identifier.isbn | 978-1-7281-9926-9 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/179830 | |
dc.description.abstract | [EN] The Internet of Things (IoT) enables to connect the physical world to digital business processes (BP). By using the IoT, a BP can, e.g.: 1) take into account real-world data to take more informed business decisions, and 2) automate and/or improve BP tasks. To achieve these benefits, the integration of IoT and BPs needs to be successful. The first step to this end is to support the modeling of IoT-enhanced BPs. Although numerous researchers have studied this subject, it is unclear what is the current state of the art in terms of current modeling solutions and gaps. In this work, we carry out a Systematic Mapping Study (SMS) to find out how current solutions are modelling IoT into business processes. After studying 600 papers, we identified and analyzed in depth a total of 36 different solutions. In addition, we report on some important issues that should be addressed in the near future, such as, for instance the lack of standardization. | es_ES |
dc.description.sponsorship | This research has been funded by Internal Funds KU Leuven (Interne Fondsen KU Leuven) and the financial support of the Spanish State Research Agency under the project TIN2017-84094-R and co-financed with ERDF. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | IEEE | es_ES |
dc.relation.ispartof | 2020 IEEE 22nd Conference on Business Informatics (CBI) | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Business process modeling | es_ES |
dc.subject | Internet of Things | es_ES |
dc.subject | IoT devices | es_ES |
dc.subject | IoT-enhanced BP | es_ES |
dc.subject | Systematic mapping study | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Modeling of IoT devices in Business Processes: A Systematic Mapping Study | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.identifier.doi | 10.1109/CBI49978.2020.00031 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84094-R/ES/DISEÑO DE SISTEMAS AUTO-ADAPTATIVOS INVOLUCRANDO AL HUMANO/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | Torres Bosch, MV.; Serral, E.; Valderas, P.; Pelechano Ferragud, V.; Grefen, P. (2020). Modeling of IoT devices in Business Processes: A Systematic Mapping Study. IEEE. 221-230. https://doi.org/10.1109/CBI49978.2020.00031 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 22nd IEEE Conference on Business Informatics (CBI 2020) | es_ES |
dc.relation.conferencedate | Junio 22-24,2020 | es_ES |
dc.relation.conferenceplace | Antwerp, Belgium | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/CBI49978.2020.00031 | es_ES |
dc.description.upvformatpinicio | 221 | es_ES |
dc.description.upvformatpfin | 230 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | S\427114 | es_ES |
dc.contributor.funder | KU Leuven | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |