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Developing a structured methodology to help companies prepare their processes for a successful RPA implementation using BPM concepts

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Detalhes bibliográficos
Resumo:This master’s thesis presents a detailed methodology for Robotic Process Automation (RPA) implementation using Business Process Management (BPM) techniques and its core principles. The study addresses the need for a structured approach to implement RPA using BPM to help improving the processes before automating. This study will use the Design Science Research (DSR) approach to create a framework, a step-by-step guide, that will help companies achieve the results expected through automation. The study is relevant because it addresses the increasingly growing adoption of RPA in businesses and the lack of academic studies on the subject, especially if paired with BPM concepts. This structured methodology will also help avoiding common problems such as targeting the wrong processes for automation.
Autores principais:Stoffel, Renan Leal
Assunto:Robotic Process Automation Business Process Management Requirement Analysis Process Design Process Optimization
Ano:2024
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
Descrição
Resumo:This master’s thesis presents a detailed methodology for Robotic Process Automation (RPA) implementation using Business Process Management (BPM) techniques and its core principles. The study addresses the need for a structured approach to implement RPA using BPM to help improving the processes before automating. This study will use the Design Science Research (DSR) approach to create a framework, a step-by-step guide, that will help companies achieve the results expected through automation. The study is relevant because it addresses the increasingly growing adoption of RPA in businesses and the lack of academic studies on the subject, especially if paired with BPM concepts. This structured methodology will also help avoiding common problems such as targeting the wrong processes for automation.