Publication
Literature review of decision models for the sustainable implementation of Robotic Process Automation
| dc.contributor.author | Patrício, Leonel | |
| dc.contributor.author | Ávila, Paulo | |
| dc.contributor.author | Varela, Leonilde | |
| dc.contributor.author | Cruz-Cunha, Maria Manuela | |
| dc.contributor.author | Pinto Ferreira, Luís | |
| dc.contributor.author | Bastos, João | |
| dc.contributor.author | Castro, Helio | |
| dc.contributor.author | Silva, José | |
| dc.date.accessioned | 2023-07-14T08:43:48Z | |
| dc.date.available | 2023-07-14T08:43:48Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Robotic Process Automation (RPA) is a rules-based system for automating business processes by software bots that mimic human interactions to relieve employees from tedious work. It was verified in the literature that there are few works related to RPA decision support models. This technology is in great growth and, therefore, it becomes important to study the evaluation of the implementation of RPA. The objective of this work is focused on a literature review for the identification and analysis of Robotic Process Automation implementation models. This work analyses some models or studies available in the literature and, in addition, analyses it from a perspective relating to the Triple Bottom Line (TBL) related to environmental, social and economic effects. Regarding the results obtained, it appears that there is still a lot of room to improve research in this field, for example, with regard to the development of an evaluation model for the implementation of the RPA, taking into account the TBL of the sustainability concept. | pt_PT |
| dc.description.sponsorship | This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020, and EXPL/EME-SIS/1224/2021. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1016/j.procs.2023.01.362 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/23224 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation | ALGORITMI Research Center | |
| dc.relation | Collaborative Platform based on Data Normalization Techniques and Dynamic Fuzzy Multi-criteria approaches for Integrated Manufacturing and Maintenance Information Processing | |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S187705092300371X | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | Robotic Process Automation (RPA) | pt_PT |
| dc.subject | Sustainability | pt_PT |
| dc.subject | Decision Models | pt_PT |
| dc.subject | Literature review | pt_PT |
| dc.subject | Smart systems | pt_PT |
| dc.title | Literature review of decision models for the sustainable implementation of Robotic Process Automation | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | ALGORITMI Research Center | |
| oaire.awardTitle | Collaborative Platform based on Data Normalization Techniques and Dynamic Fuzzy Multi-criteria approaches for Integrated Manufacturing and Maintenance Information Processing | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/3599-PPCDT/EXPL%2FEME-SIS%2F1224%2F2021/PT | |
| oaire.citation.endPage | 878 | pt_PT |
| oaire.citation.startPage | 870 | pt_PT |
| oaire.citation.title | Procedia Computer Science | pt_PT |
| oaire.citation.volume | 219 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 3599-PPCDT | |
| person.familyName | Ávila | |
| person.familyName | Pinto Ferreira | |
| person.familyName | Castro | |
| person.givenName | Paulo | |
| person.givenName | Luís | |
| person.givenName | Helio | |
| person.identifier | 631747 | |
| person.identifier.ciencia-id | 5F17-10EE-C0CE | |
| person.identifier.ciencia-id | 5415-323A-131B | |
| person.identifier.ciencia-id | 0919-7ED7-85AC | |
| person.identifier.orcid | 0000-0001-8420-0875 | |
| person.identifier.orcid | 0000-0003-4225-6525 | |
| person.identifier.orcid | 0000-0002-9082-3291 | |
| person.identifier.orcid | 0000-0001-5712-9954 | |
| person.identifier.rid | AEO-3561-2022 | |
| person.identifier.rid | E-2348-2019 | |
| person.identifier.scopus-author-id | 8609138000 | |
| person.identifier.scopus-author-id | 57188755263 | |
| person.identifier.scopus-author-id | 55175839700 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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