A Produção Enxuta vem sendo aplicada em diversos setores, e a implantação dos seus princípios e práticas, elimina perdas nos processos e contribui para manter a competividade das empresas. Desse modo, o objetivo principal desta dissertação é desenvolver um modelo econômico-probabilístico que auxilie a seleção e priorização de projetos de produção enxuta. Este modelo quantifica os investimentos, benefícios e incertezas associadas através de uma análise econômica-probabilística que apresenta o retorno esperado dos projetos. Com base nesse retorno, a priorização dos projetos de produção enxuta torna-se mais precisa de ser executada pelos tomadores de decisão. O modelo contém 38 critérios qualitativos e quantitativos, os quais estão divididos em: (i) descrição do projeto, (ii) quantificação dos investimentos e (iii) quantificação dos benefícios. Para atingir o objetivo deste trabalho, foram necessárias cinco etapas: (i) selecionar os principiais critérios para avaliação de projetos de produção enxuta; (ii) escolher o método para seleção e priorização dos projetos de produção enxuta; (iii) estruturar um modelo genérico que avalie o retorno e o impacto das incertezas envolvidas no resultado dos projetos de produção enxuta, baseado nos critérios e método selecionados nas etapas anteriores; (iv) aplicar o modelo em uma empresa; (v) analisar e verificar os resultados da aplicação prática para validar o modelo desenvolvido. A principal contribuição desta dissertação é fornecer ao tomador de decisão um modelo que o auxilie a quantificar o retorno dos projetos de produção enxuta, combinando métodos econômicos e probabilísticos. Os métodos econômicos são de fácil entendimento e mais amigáveis aos tomadores de decisão, já os métodos probabilísticos avaliam as incertezas associadas aos projetos de produção enxuta, permitindo uma visão mais completa do retorno esperado. / Lean Manufacturing has been applied in several sectors and the implementation of its principles and practices eliminate losses in the processes, contributing to sustain companies’ competitiveness. Thus, this thesis main objective is to develop an economic-probabilistic model to aid lean manufacturing projects selection and prioritization. This model quantifies the investments, benefits and associated uncertainties based on an economic-probabilistic analysis, which presents the projects expected return. With the expected return, lean manufacturing projects prioritization becomes more precise to be performed by decision makers. The model contains 38 qualitative and quantitative criteria, divided into: (i) project description, (ii) investment quantification and (iii) benefits quantification. To achieve this study’s objective, five steps were performed: (i) selecting the main criteria for lean production projects evaluation; (ii) choosing the method for lean manufacturing projects selection and prioritization; (iii) developing a generic model to evaluate return and associated uncertainties impact on results of lean manufacturing projects, based on the criteria and method selected in previous steps; (iv) applying the model in a company; (v) analyzing and verifying the results from practical application to validate the developed model. The main contribution of this study is to provide to the decision maker a model to quantify lean manufacturing projects returns, connecting economic and probabilistic methods. Economic methods are easy to understand and more user-friendly to decision makers and probabilistic methods can evaluate associated uncertainties on lean manufacturing projects, allowing a more complete vision of the expected returns.

<p>Despite the many researches made on emergent strategies and project portfolio management, one can hardly find studies on the link between them. It can easily be assumed that emergent strategies and market dynamics have considerable effect on the portfolio of projects in organizations and, supposedly, give rise to emergent projects. We defined emergent projects to be untypical or irregular projects for the organization which are at the borderline or even outside the mainstream of the current portfolio of projects. These types of projects impact the company’s strategy with the aim to increase the organizations competitiveness. This study will try to find out the possible distinct characteristics and strategic impact of emergent projects on large organizations so that these kinds of projects can be properly recognized for what they really are and managed effectively.</p><p> </p><p>We used a semi-structured interview method to collect data from six international companies in four countries. The countries are Germany, Switzerland, Sweden, and Taiwan. Using template analysis method, we analyzed the collected data. The analysis confirmed our assumption that there is a correlation between emergent strategies and project portfolio management. Moreover, we found out some of the characteristics and strategic impacts of emergent projects. The results of the study, therefore, shows that emergent projects are kinds of strategic projects which have bigger significance and bring a higher sense of urgency to organizations than the normal projects in their portfolio. Furthermore, the study indicated that emergent projects do not need any different project management methodology than typical projects do. Nonetheless, emergent projects are characterized by rarity, disrupting routine operations, enhancing company-customer relationship, causing resource reallocation, bringing profit, demanding higher budget, opening both internal and external new opportunities, posing risk due to shorter planning phase and limited implementation time, and capturing higher attention from top management. The major result we have found out in the research about the strategic impact of emergent projects is that they have a higher potential to bring profit and new business opportunities which in total make organizations more competitive in their respective markets.</p><p>The theoretical and managerial implications of our research have a common idea that emergent projects should be recognized and categorized as strategic projects of organizations. Further studies should be carried out on how the dynamic situations of business environments and emergent strategies affect the project portfolio of organizations. Moreover, it is worth researching on how the idea of emergent projects are dealt in the studies of strategic project management and project categorization both in the academic and practitioners world. Overall, the study has brought the linkage between emergent strategies and project portfolio management into light through the discussion on emergent projects.</p>

<p>SammanfattningBakgrundI alla tider har människan sökt nya organisationsformer för att effektivisera sitt arbete. Sedan 1900-talets början har organiseringen i projekt fått en alltmer framträdande roll. En effektiv projektorganisering kräver även ett väl avvägt urvalsbeslut för vilka projekt som ska genomföras. Denna studie har valt att undersöka förbättringsmöjligheter inom urvalsprocessen hos multiprojektorganisationer med avseende på effektivitet, konsekvens i besluten samt transparens och styreffekter för organisationen.GenomförandeVi har genomfört en kvalitativ studie med ett fallföretag. Syftet har varit att få ett djup i undersökningen och en god förståelse för processen inom flera hierarkiska nivåer. Totalt genomfördes nio intervjuer som tillsammans med en teoretiska referensramen ligger till grund för våra resultat.ResultatGenom att använda ett projektselekteringsverktyg som innehåller information kring projektförslagets strategiska bidrag, ekonomiska nytta, resurspåverkan och förslagets plats i projektportföljen menar vi att förslagen som kommer till beslut är mer genomarbetade. Därigenom torde beslutsprocessen bli mer tidseffektiv då inga förslag som inte är genomarbetade tillåts komma till beslut. Dessutom kommer resursanvändningen att bli mer effektiv då resursaspekten analyseras i ljuset av befintliga resursoptimeringsverktyg redan innan nya projekt implementeras. I tillägg till effektivisering för beslutsfattaren ges även mer konsekventa beslut då förslag värderas på samma beslutsgrunder. Dessutom ges indikationer för vilka områden som organisationen anser som viktiga. Viktigt att tillägga är att förutsättningarna måste anpassas av varje användare efter dennes unika förutsättningar.Vi menar att en organisation kan öka sin konkurrenskraft genom att förbättra detta första steg i organisationens projektkompetens.</p> / <p>AbsractBackgroundAt all times man has searched for new ways to organize themselves in order to work more efficiently. From the beginning of the 20th Century organizing in projects has had an even more distinguished role. An effective organizing of projects demands a balanced selection of which projects is to be executed. This study is examining opportunities for improvement in the project selection phase in multi-project-organizations, stressing effectiveness, consistency and control implications for the organization.ExecutionThis study is conducted as a qualitative case study. The aim of the study is to get depth and a good understanding of the project selection process within several hierarchal levels of the organization. A total of nine interviews were conducted. The information given in these interviews combined with theoretical references are the foundation of our conclusions.ResultsBy using a project selection tool containing the project’s strategic contribution, financial contribution, effects on the organizations resources and the project’s effect on the organization’s project portfolio. It is of our opinion that the project proposals for decision will be better prepared, therefore should the project selection phase be more time efficient since only well prepared proposals are to be considered. Also, the use of the organizational resources should be more effective, given that the resource aspect is more integrated in the selection-decision. Furthermore, the decisions should be more consistent within the organization with general criteria to be followed. The tool also provides important indications of which strategic areas that ought to get special attention. It is of importance though that the tool is adjusted to the given organization’s unique conditions.Our opinion is that an organization will improve its competitiveness by improving its competence in project selection</p>

SammanfattningBakgrundI alla tider har människan sökt nya organisationsformer för att effektivisera sitt arbete. Sedan 1900-talets början har organiseringen i projekt fått en alltmer framträdande roll. En effektiv projektorganisering kräver även ett väl avvägt urvalsbeslut för vilka projekt som ska genomföras. Denna studie har valt att undersöka förbättringsmöjligheter inom urvalsprocessen hos multiprojektorganisationer med avseende på effektivitet, konsekvens i besluten samt transparens och styreffekter för organisationen.GenomförandeVi har genomfört en kvalitativ studie med ett fallföretag. Syftet har varit att få ett djup i undersökningen och en god förståelse för processen inom flera hierarkiska nivåer. Totalt genomfördes nio intervjuer som tillsammans med en teoretiska referensramen ligger till grund för våra resultat.ResultatGenom att använda ett projektselekteringsverktyg som innehåller information kring projektförslagets strategiska bidrag, ekonomiska nytta, resurspåverkan och förslagets plats i projektportföljen menar vi att förslagen som kommer till beslut är mer genomarbetade. Därigenom torde beslutsprocessen bli mer tidseffektiv då inga förslag som inte är genomarbetade tillåts komma till beslut. Dessutom kommer resursanvändningen att bli mer effektiv då resursaspekten analyseras i ljuset av befintliga resursoptimeringsverktyg redan innan nya projekt implementeras. I tillägg till effektivisering för beslutsfattaren ges även mer konsekventa beslut då förslag värderas på samma beslutsgrunder. Dessutom ges indikationer för vilka områden som organisationen anser som viktiga. Viktigt att tillägga är att förutsättningarna måste anpassas av varje användare efter dennes unika förutsättningar.Vi menar att en organisation kan öka sin konkurrenskraft genom att förbättra detta första steg i organisationens projektkompetens. / AbsractBackgroundAt all times man has searched for new ways to organize themselves in order to work more efficiently. From the beginning of the 20th Century organizing in projects has had an even more distinguished role. An effective organizing of projects demands a balanced selection of which projects is to be executed. This study is examining opportunities for improvement in the project selection phase in multi-project-organizations, stressing effectiveness, consistency and control implications for the organization.ExecutionThis study is conducted as a qualitative case study. The aim of the study is to get depth and a good understanding of the project selection process within several hierarchal levels of the organization. A total of nine interviews were conducted. The information given in these interviews combined with theoretical references are the foundation of our conclusions.ResultsBy using a project selection tool containing the project’s strategic contribution, financial contribution, effects on the organizations resources and the project’s effect on the organization’s project portfolio. It is of our opinion that the project proposals for decision will be better prepared, therefore should the project selection phase be more time efficient since only well prepared proposals are to be considered. Also, the use of the organizational resources should be more effective, given that the resource aspect is more integrated in the selection-decision. Furthermore, the decisions should be more consistent within the organization with general criteria to be followed. The tool also provides important indications of which strategic areas that ought to get special attention. It is of importance though that the tool is adjusted to the given organization’s unique conditions.Our opinion is that an organization will improve its competitiveness by improving its competence in project selection

Despite the many researches made on emergent strategies and project portfolio management, one can hardly find studies on the link between them. It can easily be assumed that emergent strategies and market dynamics have considerable effect on the portfolio of projects in organizations and, supposedly, give rise to emergent projects. We defined emergent projects to be untypical or irregular projects for the organization which are at the borderline or even outside the mainstream of the current portfolio of projects. These types of projects impact the company’s strategy with the aim to increase the organizations competitiveness. This study will try to find out the possible distinct characteristics and strategic impact of emergent projects on large organizations so that these kinds of projects can be properly recognized for what they really are and managed effectively.   We used a semi-structured interview method to collect data from six international companies in four countries. The countries are Germany, Switzerland, Sweden, and Taiwan. Using template analysis method, we analyzed the collected data. The analysis confirmed our assumption that there is a correlation between emergent strategies and project portfolio management. Moreover, we found out some of the characteristics and strategic impacts of emergent projects. The results of the study, therefore, shows that emergent projects are kinds of strategic projects which have bigger significance and bring a higher sense of urgency to organizations than the normal projects in their portfolio. Furthermore, the study indicated that emergent projects do not need any different project management methodology than typical projects do. Nonetheless, emergent projects are characterized by rarity, disrupting routine operations, enhancing company-customer relationship, causing resource reallocation, bringing profit, demanding higher budget, opening both internal and external new opportunities, posing risk due to shorter planning phase and limited implementation time, and capturing higher attention from top management. The major result we have found out in the research about the strategic impact of emergent projects is that they have a higher potential to bring profit and new business opportunities which in total make organizations more competitive in their respective markets. The theoretical and managerial implications of our research have a common idea that emergent projects should be recognized and categorized as strategic projects of organizations. Further studies should be carried out on how the dynamic situations of business environments and emergent strategies affect the project portfolio of organizations. Moreover, it is worth researching on how the idea of emergent projects are dealt in the studies of strategic project management and project categorization both in the academic and practitioners world. Overall, the study has brought the linkage between emergent strategies and project portfolio management into light through the discussion on emergent projects.

In this study, we propose two biobjective mathematical models based on PROMETHEE V method for project selection problems. We develop an interactive approach (ib-PROMETHEE V) including data mining techniques to solve the first proposed mathematical model. For the second model, we propose NSGA-II with constraint handling method. We also develop a Preference Based Interactive Multiobjective Genetic Algorithm (IMGA) to solve the second proposed mathematical model. We test the performance of NSGA-II with constraint handling method and IMGA on randomly generated test problems.

A Produção Enxuta vem sendo aplicada em diversos setores, e a implantação dos seus princípios e práticas, elimina perdas nos processos e contribui para manter a competividade das empresas. Desse modo, o objetivo principal desta dissertação é desenvolver um modelo econômico-probabilístico que auxilie a seleção e priorização de projetos de produção enxuta. Este modelo quantifica os investimentos, benefícios e incertezas associadas através de uma análise econômica-probabilística que apresenta o retorno esperado dos projetos. Com base nesse retorno, a priorização dos projetos de produção enxuta torna-se mais precisa de ser executada pelos tomadores de decisão. O modelo contém 38 critérios qualitativos e quantitativos, os quais estão divididos em: (i) descrição do projeto, (ii) quantificação dos investimentos e (iii) quantificação dos benefícios. Para atingir o objetivo deste trabalho, foram necessárias cinco etapas: (i) selecionar os principiais critérios para avaliação de projetos de produção enxuta; (ii) escolher o método para seleção e priorização dos projetos de produção enxuta; (iii) estruturar um modelo genérico que avalie o retorno e o impacto das incertezas envolvidas no resultado dos projetos de produção enxuta, baseado nos critérios e método selecionados nas etapas anteriores; (iv) aplicar o modelo em uma empresa; (v) analisar e verificar os resultados da aplicação prática para validar o modelo desenvolvido. A principal contribuição desta dissertação é fornecer ao tomador de decisão um modelo que o auxilie a quantificar o retorno dos projetos de produção enxuta, combinando métodos econômicos e probabilísticos. Os métodos econômicos são de fácil entendimento e mais amigáveis aos tomadores de decisão, já os métodos probabilísticos avaliam as incertezas associadas aos projetos de produção enxuta, permitindo uma visão mais completa do retorno esperado. / Lean Manufacturing has been applied in several sectors and the implementation of its principles and practices eliminate losses in the processes, contributing to sustain companies’ competitiveness. Thus, this thesis main objective is to develop an economic-probabilistic model to aid lean manufacturing projects selection and prioritization. This model quantifies the investments, benefits and associated uncertainties based on an economic-probabilistic analysis, which presents the projects expected return. With the expected return, lean manufacturing projects prioritization becomes more precise to be performed by decision makers. The model contains 38 qualitative and quantitative criteria, divided into: (i) project description, (ii) investment quantification and (iii) benefits quantification. To achieve this study’s objective, five steps were performed: (i) selecting the main criteria for lean production projects evaluation; (ii) choosing the method for lean manufacturing projects selection and prioritization; (iii) developing a generic model to evaluate return and associated uncertainties impact on results of lean manufacturing projects, based on the criteria and method selected in previous steps; (iv) applying the model in a company; (v) analyzing and verifying the results from practical application to validate the developed model. The main contribution of this study is to provide to the decision maker a model to quantify lean manufacturing projects returns, connecting economic and probabilistic methods. Economic methods are easy to understand and more user-friendly to decision makers and probabilistic methods can evaluate associated uncertainties on lean manufacturing projects, allowing a more complete vision of the expected returns.

A Produção Enxuta vem sendo aplicada em diversos setores, e a implantação dos seus princípios e práticas, elimina perdas nos processos e contribui para manter a competividade das empresas. Desse modo, o objetivo principal desta dissertação é desenvolver um modelo econômico-probabilístico que auxilie a seleção e priorização de projetos de produção enxuta. Este modelo quantifica os investimentos, benefícios e incertezas associadas através de uma análise econômica-probabilística que apresenta o retorno esperado dos projetos. Com base nesse retorno, a priorização dos projetos de produção enxuta torna-se mais precisa de ser executada pelos tomadores de decisão. O modelo contém 38 critérios qualitativos e quantitativos, os quais estão divididos em: (i) descrição do projeto, (ii) quantificação dos investimentos e (iii) quantificação dos benefícios. Para atingir o objetivo deste trabalho, foram necessárias cinco etapas: (i) selecionar os principiais critérios para avaliação de projetos de produção enxuta; (ii) escolher o método para seleção e priorização dos projetos de produção enxuta; (iii) estruturar um modelo genérico que avalie o retorno e o impacto das incertezas envolvidas no resultado dos projetos de produção enxuta, baseado nos critérios e método selecionados nas etapas anteriores; (iv) aplicar o modelo em uma empresa; (v) analisar e verificar os resultados da aplicação prática para validar o modelo desenvolvido. A principal contribuição desta dissertação é fornecer ao tomador de decisão um modelo que o auxilie a quantificar o retorno dos projetos de produção enxuta, combinando métodos econômicos e probabilísticos. Os métodos econômicos são de fácil entendimento e mais amigáveis aos tomadores de decisão, já os métodos probabilísticos avaliam as incertezas associadas aos projetos de produção enxuta, permitindo uma visão mais completa do retorno esperado. / Lean Manufacturing has been applied in several sectors and the implementation of its principles and practices eliminate losses in the processes, contributing to sustain companies’ competitiveness. Thus, this thesis main objective is to develop an economic-probabilistic model to aid lean manufacturing projects selection and prioritization. This model quantifies the investments, benefits and associated uncertainties based on an economic-probabilistic analysis, which presents the projects expected return. With the expected return, lean manufacturing projects prioritization becomes more precise to be performed by decision makers. The model contains 38 qualitative and quantitative criteria, divided into: (i) project description, (ii) investment quantification and (iii) benefits quantification. To achieve this study’s objective, five steps were performed: (i) selecting the main criteria for lean production projects evaluation; (ii) choosing the method for lean manufacturing projects selection and prioritization; (iii) developing a generic model to evaluate return and associated uncertainties impact on results of lean manufacturing projects, based on the criteria and method selected in previous steps; (iv) applying the model in a company; (v) analyzing and verifying the results from practical application to validate the developed model. The main contribution of this study is to provide to the decision maker a model to quantify lean manufacturing projects returns, connecting economic and probabilistic methods. Economic methods are easy to understand and more user-friendly to decision makers and probabilistic methods can evaluate associated uncertainties on lean manufacturing projects, allowing a more complete vision of the expected returns.

Submitted by Nadir Basilio (nadirsb@uninove.br) on 2017-02-23T17:35:07Z No. of bitstreams: 1 Nestor de Oliveira Filho.pdf: 1150714 bytes, checksum: 22b89577df7b4876e90975f7d85795c5 (MD5) / Made available in DSpace on 2017-02-23T17:35:07Z (GMT). No. of bitstreams: 1 Nestor de Oliveira Filho.pdf: 1150714 bytes, checksum: 22b89577df7b4876e90975f7d85795c5 (MD5) Previous issue date: 2015-03-30 / In today's business environment, where the participation of Small-Medium Enterprises (SMEs) in local, national and international economies has been increasing, it becomes important to deepen understanding of the strategic decisions made by such organizations, since most studies on the subject deal with large organizations. This dissertation investigates the process, the features and the factors that influence the decision-making for the selection of new projects in a SME in the Brazilian engineering sector. The methodology chosen was the single case study applied in the target company and the results made it possible to verify the performance of a less complex form of decision-making than presents the theoretical models on the subject, which would not necessarily be a problem. However, the process is characterized by problems of lack of periodicity, limited analysis to organizational factors and decisions made with a personalized and emotional charge, as the final decision is executed by the main manager of the organization. As theoretical contribution is the need to develop a literature that highlights best practices for decision-making in SMEs, especially, the Brazilian. As a practical contribution to the managers of those organizations, it indicates the need to deal with more relevance the improvement of stages to the decision-making process and for governments and associations linked to SMEs, there is the need for investment and sponsorship programs aimed to the subject. / No atual ambiente de negócios, em que a participação das Pequenas e Médias Empresas (PMEs) nas economias locais, nacionais e internacional tem apresentado significativo crescimento, torna-se relevante aprofundar o conhecimento sobre a tomada de decisões estratégicas realizadas por tais organizações, uma vez que a maioria dos estudos sobre o tema trata de grandes organizações. Esta dissertação investiga o processo, as características e os fatores que influenciam a tomada de decisão para a seleção de novos projetos em uma Pequena-Média Empresa (PME) brasileira do setor de engenharia. A metodologia adotada foi o estudo de caso único aplicado na empresa-alvo e cujos resultados possibilitaram identificar a realização de uma tomada de decisão de forma menos complexa do que apresenta os modelos teóricos sobre o tema, o que não seria necessariamente um problema. Contudo, o processo caracteriza-se por problemas de falta de periodicidade, de análise limitada aos fatores organizacionais e de decisões tomadas com uma carga personalista e emocional, já que a decisão final é executada pelo gestor principal da organização. Como contribuição teórica está a necessidade do desenvolvimento de uma literatura que destaque as melhores práticas para a tomada de decisão nas PMEs, especialmente, as brasileiras. Como contribuição prática para os gestores dessas organizações indica-se a necessidade de tratar com maior importância o aperfeiçoamento das etapas do processo de tomada de decisão e para os governos e associações ligadas às PMEs, há a necessidade de investimento e patrocínio de programas voltados ao tema.

Métodos tradicionais de seleção de portfólio de projetos tendem a privilegiar dimensões e aspectos mais relacionados ao lucro e/ou crescimento. Além dessas dimensões e aspectos, Institutos Públicos podem se orientar por aspectos de dimensões que, a exemplo da social, são menos passíveis de avaliação objetiva. Isso justifica a conveniência de instrumentos auxiliares aos processos de seleção de projetos organizados a partir de prioridades não coincidentes com aquelas que comumente orientam empresas privadas. A proposição desta tese foi sistematizar um instrumento auxiliar aos métodos de seleção de projetos de P&D em Institutos Públicos. Trata-se da sistematização de relações em algoritmo que possibilita e valoriza as manifestações de entendimentos orientados primordialmente por diferentes dimensões que fundamentam a missão institucional. O instrumento auxiliar proposto se revelou efetivo em atender as diversas dimensões que orientam um Instituto Público, e compatível com a dinâmica operacional de modelos tradicionais de seleção de projetos e de gestão de portfólio de projetos. Essa efetividade e a compatibilidade operacional foram verificadas com base em uma simulação de seleção realizada a partir de projetos já componentes do portfólio de um Instituto Público. O ranqueamento dos projetos resultou diferente daquele produzido em procedimento comumente utilizado pelo instituto. Conclui-se que, ainda que somente auxiliar aos modelos tradicionais de seleção de projetos, o instrumento proposto pode concorrer para processos de seleção que melhor considerem as múltiplas dimensões e diferentes perspectivas presentes na gestão de Institutos Públicos. / Traditional project portfolio selection methods tend to confer greater privilege to profit and/or outgrowth than to other dimensions and aspects; however, public institutes have some different dimensions, such as social development, that go beyond the economic and financial aspects to ground the institutional mission. This context is appropriate for complementary selection methods or based on different priorities from private companies methods. This thesis proposes to systematize an auxiliary instrument for R&D projects selection processes, aiming to better meet Public Institutes needs. The systematization of relations, calculated by an algorithm, enables and valorizes the manifested understanding driven by different dimensions that underlie the institutional mission. The proposed auxiliary instrument proved to be effective to better meet the diverse dimensions that drive a Public Institute, and to be fully compatible with the operational dynamics of traditional models for project selection and project portfolio management. Such effectiveness and operational compatibility were checked using a project selection simulation of projects from a Public Institute portfolio. The ranking of the portfolio resulted differently from the procedure commonly used by the Institute. In summary, although the instrument proposed is only complementary to traditional methods of project selection, it can contribute to project selection processes that better consider different perspectives and multiple dimensions that characterize Public Institutes management.