| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| DM_TiagoSilva_MGP_2023 | 2.89 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
No contexto desta tese de mestrado em gestão de projetos, o trabalho embarca
numa viagem em três partes para explorar de forma abrangente o mundo da Robotic
Process Automation (RPA). Cada artigo deste estudo desempenha um papel distinto
no avanço da nossa compreensão da RPA e das suas implicações práticas.
No primeiro artigo, o foco está em fornecer uma visão abrangente do cenário
da RPA. Analisamos os benefícios e os desafios associados à implementação da
RPA, realçando o papel fundamental da gestão de projetos no aumento do sucesso
dos projetos de RPA. Ao extrair conhecimentos de uma vasta literatura e de casos
reais, pretendemos estabelecer uma base sólida para compreender o atual estado da
arte da RPA.
O segundo artigo adota uma abordagem mais teórica, introduzindo um modelo
concetual para a avaliação e definição de prioridades dos candidatos a RPA. Este
modelo foi meticulosamente concebido, baseando-se em cinco dimensões cruciais:
tarefa, tempo, dados, sistema e humano. O seu objetivo é facilitar um processo
estruturado e baseado em dados para identificar as tarefas mais adequadas para a
automatização da RPA.
O terceiro artigo afasta-se das construções teóricas e mergulha no domínio
prático. Aqui, foram analisadas as respostas de um inquérito que investiga a forma
como as empresas avaliam e priorizam os candidatos a RPA em cenários do mundo
real. Além disso, o estudo explorou o sucesso das implementações de RPA nestas
empresas, centrando-se na questão de saber se o modelo concetual proposto é
benéfico para especialistas, gestores de projetos e profissionais. Além disso, avaliase
a capacidade do modelo para ser melhorado e aperfeiçoado através de
conhecimentos obtidos a partir de práticas reais de RPA. Esta análise empírica
fornece informações valiosas sobre o panorama dinâmico da RPA nas organizações.
Coletivamente, estes três artigos visam contribuir para uma compreensão
holística do estado atual da RPA, da sua aplicação através de um modelo concetual
estruturado e das práticas do mundo real que podem fazer avançar ainda mais o
campo da RPA e a sua integração nas operações empresariais modernas.
In the context of this master thesis in project management, the work embarks on a three-part journey to comprehensively explore the world of Robotic Process Automation (RPA). Each article within this study plays a distinct role in advancing our understanding of RPA and its practical implications. In the first article, the focus lies in providing an overarching view of the RPA landscape. We delve into the benefits and challenges associated with RPA implementation, emphasizing the critical role of project management in enhancing RPA project success. By drawing insights from extensive literature and real-world cases, we aim to establish a solid foundation for comprehending RPA's current state of the art. The second article takes a more theoretical approach by introducing a conceptual model for the evaluation and prioritization of RPA candidates. This model is meticulously designed, relying on five crucial dimensions: task, time, data, system, and human. Its objective is to facilitate a structured and data-driven process for identifying the most suitable tasks for RPA automation. The third article departs from theoretical constructs and delves into the practical realm. Here, the responses from a survey that investigates how companies assess, evaluate, and prioritize RPA candidates in real-world scenarios were analyzed. Additionally, it explored the success of RPA implementations within these companies, focusing on whether the proposed conceptual model proves beneficial for experts, project managers, and practitioners. Furthermore, it assesses the model's capacity for improvement and enhancement through insights gleaned from actual RPA practices. This empirical analysis lends invaluable insights into the dynamic landscape of RPA in organizations. Collectively, these three articles aim to contribute to a holistic understanding of RPA's current state, its application through a structured conceptual model, and realworld practices that can further advance the field of RPA and its integration into modern business operations.
In the context of this master thesis in project management, the work embarks on a three-part journey to comprehensively explore the world of Robotic Process Automation (RPA). Each article within this study plays a distinct role in advancing our understanding of RPA and its practical implications. In the first article, the focus lies in providing an overarching view of the RPA landscape. We delve into the benefits and challenges associated with RPA implementation, emphasizing the critical role of project management in enhancing RPA project success. By drawing insights from extensive literature and real-world cases, we aim to establish a solid foundation for comprehending RPA's current state of the art. The second article takes a more theoretical approach by introducing a conceptual model for the evaluation and prioritization of RPA candidates. This model is meticulously designed, relying on five crucial dimensions: task, time, data, system, and human. Its objective is to facilitate a structured and data-driven process for identifying the most suitable tasks for RPA automation. The third article departs from theoretical constructs and delves into the practical realm. Here, the responses from a survey that investigates how companies assess, evaluate, and prioritize RPA candidates in real-world scenarios were analyzed. Additionally, it explored the success of RPA implementations within these companies, focusing on whether the proposed conceptual model proves beneficial for experts, project managers, and practitioners. Furthermore, it assesses the model's capacity for improvement and enhancement through insights gleaned from actual RPA practices. This empirical analysis lends invaluable insights into the dynamic landscape of RPA in organizations. Collectively, these three articles aim to contribute to a holistic understanding of RPA's current state, its application through a structured conceptual model, and realworld practices that can further advance the field of RPA and its integration into modern business operations.
Description
Keywords
Robotics Process Automation Avaliação Desafios Gestão de Projetos