Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/20913
Autoria: | Santos, F. Pereira, R. Vasconcelos, J. B. |
Data: | 2020 |
Título próprio: | Towards robotic process automation implementation: an end-to-end perspective |
Volume: | 26 |
Número: | 2 |
Paginação: | 405 - 420 |
ISSN: | 1463-7154 |
DOI (Digital Object Identifier): | 10.1108/BPMJ-12-2018-0380 |
Palavras-chave: | Robotic process automation Process automation Business process management Data science |
Resumo: | Purpose: Robotic process automation (RPA) seeks to automate business processes, using software robots that interact with systems through their user interface, improving efficiency and reducing costs. However, some critical steps, such as identifying processes suitable for RPA automation, can have a tremendous impact in organizations if a wrong process is selected. Therefore, the purpose of this paper is to provide an approach for analyzing RPA development in business organizations. Design/methodology/approach: This research presents a cohesive literature review about RPA, in order to identify RPA main concepts, which should be reported and considered in all RPA case studies. A model connecting the main elicited RPA concepts is presented as well as its evaluation and applicability grounded of past RPA case study (CS) analysis, using design science research. Findings: The results from this research show that most of the RPA main concepts gathered in the literature review are not reported in the selected RPA CSs. Originality/value: As RPA is a recent topic, literature lacks a synthetization of RPA main topics. This research aims to fill the gap on that, by identifying and synthesize the main topics related to RPA and proposing a model that connects the main RPA concepts, which can be used by researchers as a schema for conducting and writing RPA case studies. |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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versão submetida.pdf | Versão Aceite | 377,23 kB | Adobe PDF | Ver/Abrir |
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