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Decision Making Models applied to IT Project Selection

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Detalhes bibliográficos
Resumo:IT project investments: how can we identify the best project to invest? To invest means to spend resources with the intention of future benefits. Can this evaluation be made in a sustained way that minimizes the failure of a wrong pick and therefore someway to be assure of those benefits? The aim of the study is to build a decision-making tool, based on existing multipurpose ones and to perfect it to the IT Project Portfolio reality, with an in-depth project analysis, valuing its tangible and intangibles characteristics to facilitate the organization board or decision makers. Following an inductive based thinking, real decision-making matrixes are to be dissected to establish a future generalization in form of a new tool to apply to a specific scenario. A mixed strategy (quantitative strategy to the establishment of cause-effect relations and qualitative to understand intangible factors associated to the IT projects) will be adopted.
Autores principais:Peso, Gil Salvador
Assunto:Decision-making Models Intangible Portfolio IT Project Selection
Ano:2023
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:IT project investments: how can we identify the best project to invest? To invest means to spend resources with the intention of future benefits. Can this evaluation be made in a sustained way that minimizes the failure of a wrong pick and therefore someway to be assure of those benefits? The aim of the study is to build a decision-making tool, based on existing multipurpose ones and to perfect it to the IT Project Portfolio reality, with an in-depth project analysis, valuing its tangible and intangibles characteristics to facilitate the organization board or decision makers. Following an inductive based thinking, real decision-making matrixes are to be dissected to establish a future generalization in form of a new tool to apply to a specific scenario. A mixed strategy (quantitative strategy to the establishment of cause-effect relations and qualitative to understand intangible factors associated to the IT projects) will be adopted.