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Project management techniques: How can we choose?

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Detalhes bibliográficos
Resumo:The main goal for this thesis was to present a study regarding the process of choosing the appropriate methodology - Agile, Scrum, Waterfall and Lean - to oversee a project, as well as understanding the weaknesses, advantages and opportunities for improvement. To reach that goal, a Mixed Methods Approach was applied, which would combine a quantitative and qualitative strategy using questionnaires that were sent to different professionals in different areas, like IT, Auditing, Cybersecurity, pharmaceuticals and banking. To be able to reach the expected conclusions, the study analyzed how these techniques were implemented on different projects with different characteristics, focusing on factors like complexity of the projects, duration of the projects, stakeholder involvement in the projects, Risk associated with the projects, amongst other. After compiling all the information received and analyzing the data itself, it was possible to say that there is no such thing as a universal technique, and in most cases, the best way to guarantee the success of a project is through the modification/combination of the already existing methodologies. A clear example relates to Agile, which is better equipped to handle changing requirements and focuses a lot on communication with the stakeholder while waterfall is more directed to projects where the objectives are well-established and communication with the stakeholders is minimal. According to the answers provided by the professionals, the main recommendation is all about the development of hybrid techniques to capitalize on the strengths of the different methodologies, as well as implement ongoing training programs. By doing so, the organizations will have a higher chance of ensuring that productivity is increased and that the project goal is attained.
Autores principais:Nunes, Bruno Correia
Assunto:Project Management Techniques Projects Agile Waterfall Scrum Lean SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 12 - Responsible production and consumption
Ano:2025
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:The main goal for this thesis was to present a study regarding the process of choosing the appropriate methodology - Agile, Scrum, Waterfall and Lean - to oversee a project, as well as understanding the weaknesses, advantages and opportunities for improvement. To reach that goal, a Mixed Methods Approach was applied, which would combine a quantitative and qualitative strategy using questionnaires that were sent to different professionals in different areas, like IT, Auditing, Cybersecurity, pharmaceuticals and banking. To be able to reach the expected conclusions, the study analyzed how these techniques were implemented on different projects with different characteristics, focusing on factors like complexity of the projects, duration of the projects, stakeholder involvement in the projects, Risk associated with the projects, amongst other. After compiling all the information received and analyzing the data itself, it was possible to say that there is no such thing as a universal technique, and in most cases, the best way to guarantee the success of a project is through the modification/combination of the already existing methodologies. A clear example relates to Agile, which is better equipped to handle changing requirements and focuses a lot on communication with the stakeholder while waterfall is more directed to projects where the objectives are well-established and communication with the stakeholders is minimal. According to the answers provided by the professionals, the main recommendation is all about the development of hybrid techniques to capitalize on the strengths of the different methodologies, as well as implement ongoing training programs. By doing so, the organizations will have a higher chance of ensuring that productivity is increased and that the project goal is attained.