In the book of ¡§The Practice of Management¡¨, Peter Drucker(1989) mentioned, that the quality and performance of managers determine the fate of the company. Indeed, the faster the world changes, the more significant the role managers play is.) Especially, the middle/ high level managers, who highly involve and participate in the organization, play the pivotal roles. The case company has been growing up during recent years, and the demand for the middle/high level managers is very great. So, whether the managers have the appropriate management ability will be the focus of training programs. As a result, the study constructed the management competency model for the case company via Analytic Network Process (ANP). Besides, this model provided the clear criterions that could help the case company to select and train the middle/high level managers. The findings are listed as bellows¡G 1. Confirming key management competence items for the middle/high level managers, and built up an analysis framework. Therefore, the case company would figure out important key items to improve the efficiency of selection and work performance. 2. Deciding the criterion and authority for each management competency index with Analytic Network Process. The result considered depending relationship between indices correspond with practice, clearly numerical data also help to reduce uncertain in decision process. 3. The study constructed the management competency index, and according to the result of the test, this model could correctly identify the middle/high level managers with brilliant performance.

Since hi-technology industry production is complex and with specific flow. One step mistake may cause huge loss. The professional engineer employee who deal with process problem are getting more and more important. To win the competition and market share, TFT-LCD manufacturers aggressively invest larger and advance product line, and create big gap between human resource demand and supply. However, TFT-LCD industry just developed a few years ago in Taiwan, experience engineers are not enough to satisfy these fast expand request. To choice suitable employee from volunteers, using Competence Choosing Model is considered and efficiently in particle and in academic analysis. Most researchs discuss Competency model with scales without weight. The study constructed a competence-based model for choosing engineers professional with Analytic Network Process (ANP), and this model include weight for each item. Besides, this model could help C company to select engineering professional efficiency, reduce corporation cost. The findings are as follows: 1.Confirm key competence items for engineering professional, and built up a analysis struce. Therefore, C company may would figure out important key items. 2.Deciding weight for each competency index with Analytic Network Process. The result considered depending relationship between indices correspond with practice, clearly numerical data also help to reduce uncertin in decision process. 3.Inspect with really engineering professional performance records and weight computed results, this model could identify high performance engineering professional correctly. 4.Comparing the results come from Analytic Hierarchy Process and Analytic Network Process, some weight difference between these 2 methods. That means depanding and feedback relationship between indeics may not ignored.

Submitted by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2017-10-18T18:37:52Z No. of bitstreams: 2 Tese_Rafaela L. Medeiros.pdf: 4587592 bytes, checksum: 006ea660e1dfbb676df7e9ccba102f07 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2017-10-18T18:38:07Z (GMT) No. of bitstreams: 2 Tese_Rafaela L. Medeiros.pdf: 4587592 bytes, checksum: 006ea660e1dfbb676df7e9ccba102f07 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-10-18T18:38:07Z (GMT). No. of bitstreams: 2 Tese_Rafaela L. Medeiros.pdf: 4587592 bytes, checksum: 006ea660e1dfbb676df7e9ccba102f07 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2017-06-23 / CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico / The increasing number of biotechnological research in the global and Brazilian context and the scarcity of public and private resources for investments in research and development make it critical for the actors of the national innovation system to adopt evaluation methodologies and research selection With greater innovative potential for prioritization in the allocation of resources and reduction of the risk of investment or return of the financial contribution. However, innovation, as it is directly linked to the promotion of sustainability, has the function of transforming the products and technologies used by society throughout the production chain of goods and services necessary for human consumption. In this way, sustainable innovation is the development of new products, processes, services and technologies that contribute to economic development and meeting human and institutional needs, respecting natural resources and their regenerative capacity. In this context, the problem of the present research was how to evaluate the potential for sustainable innovation of biotechnological scientific research. Therefore, the main objective was to develop an index for assessing the potential for sustainable innovation in scientific research in the field of biotechnology. To accomplish this mission, the research was divided into three distinct phases. The first one consisted in the selection of the conceptual model of the index, and the Cubo Sustainable Innovation framework was chosen because it is the most robust approach in the treatment of the effects generated by innovations orientated towards sustainability. The second step was the application of the multicriteria Analytic Network Process (ANP) to the chosen framework with the objective of making the practical use of the index possible. The third step was the practical application of the index in three different case studies. In the first case study, scientific researches were carried out to obtain and use the purple starch (Dioscorea trifida L.f) with a focus on the application of food supplements, since the evaluating company was the Complevida Produtos Naturais, which operates in this segment. In the second case study, the evaluated researches had as objective the production of bioactive extracts of agroindustrial residues of buriti (Mauritia flexuosa L.) for the manufacture of cosmetics. These surveys were evaluated by Cheiro D'Folha da Amazônia, a small company in the cosmetics sector. The third case study was carried out with the company QLuz Ecoenergia evaluating scientific research for the production of bioactive extracts of açaí agroindustrial waste (Euterpe Olereace and Euterpe Precatoria). The scientific research to obtain the purple starch obtained the score of 57.2%, the highest among those evaluated, followed by the researches of bioactive extracts of agroindustrial residues of buriti (48%) and açaí (39.6%), . The most relevant criteria were Technology, Culture, Consumption and Production and Logistics. The results showed that the scientific researches in biotechnology carried out by researchers linked to the Multi-Institutional Biotechnology Graduate Program in the Federal University of Amazonas have significant innovative potential potential, but they need adjustments to be feasible to be Produced and marketed on a production scale appropriate to the needs of the consumer markets. The main suggestions for improving the innovative potential of the research were: the construction of production units and processing of purple and / or agroindustrial residues of açaí or buriti; The promotion of marketing based on the functional properties of food and cosmetics; The participation of local communities, cooperatives or small producers as beneficiaries of the purple or agro-industrial waste of açaí or buriti; And the creation of stamps of origin linked to the Federal University of Amazonas. / O número crescente de pesquisas biotecnológicas, no contexto global e brasileiro, e a escassez de recursos públicos e privados para investimentos em atividades de pesquisa e desenvolvimento, tornam crítico para os atores do sistema de inovação nacional a adoção de metodologias de avaliação e seleção de pesquisas com maior potencial inovador para priorização na alocação de recursos e redução do risco de investimento ou retorno do aporte financeiro. No entanto, a inovação por estar diretamente ligada à promoção da sustentabilidade exerce função de transformação dos produtos e tecnologias utilizadas pela sociedade ao longo da cadeia produtiva de bens e serviços necessários ao consumo humano. Desta forma, inovação sustentável é o desenvolvimento de novos produtos, processos, serviços e tecnologias que contribuem para o desenvolvimento econômico e atendimento das necessidades humanas e institucionais, respeitando os recursos naturais e sua capacidade regenerativa. Neste contexto, o problema da presente pesquisa foi como avaliar o potencial de inovação sustentável das pesquisas científicas biotecnológicas. Logo, o objetivo principal foi elaborar um índice para avaliação do potencial de inovação sustentável de pesquisas científicas no campo da biotecnologia. Para realizar essa missão, a pesquisa foi dividida em três fases distintas. A primeira consistiu na seleção do modelo conceitual do índice, tendo sido escolhido o framework Cubo da Inovação Sustentável por ser a abordagem mais robusta no tratamento dos efeitos gerados por inovações orientadas para a sustentabilidade. A segunda etapa foi a aplicação do método multicritério Analytic Network Process (ANP) ao framework escolhido com o objetivo de viabilizar o uso prático do índice. Já a terceira etapa foi a aplicação prática do índice em três estudos de casos distintos. No primeiro estudo de caso foram avaliadas pesquisas científicas para obtenção e uso da fécula do cará-roxo (Dioscorea trifida L.f) com enfoque na aplicação em complementos alimentares, pois a empresa avaliadora foi a Complevida Produtos Naturais que atua nesse segmento. No segundo estudo de caso, as pesquisas avaliadas tinham como objetivo a produção de extratos bioativos de resíduos agroindustriais do buriti (Mauritia flexuosa L.) para fabricação de cosméticos. Estas pesquisas foram avaliadas pela Cheiro D’Folha da Amazônia, uma empresa de pequeno porte do setor de cosméticos. O terceiro estudo de caso foi realizado com a empresa QLuz Ecoenergia avaliando pesquisas científicas para produção de extratos bioativos de resíduos agroindustriais do açaí (Euterpe Olereace e Euterpe Precatoria). A pesquisa científica para obtenção da fécula do cará-roxo obteve a pontuação de 57,2%, a mais elevada dentre as avaliadas, seguida pelas pesquisas de extratos bioativos de resíduos agroindustriais de buriti (48%) e açaí (39,6%). Já os critérios mais relevantes foram Tecnologia, Cultura, Consumo e Produção e Logística. Os resultados mostraram que as pesquisas científicas em biotecnologia realizadas por pesquisadores vinculados ao Programa Multi-Institucional de Pós-Graduação em Biotecnologia da Universidade Federal do Amazonas (PPGBIOTEC/UFAM) possuem potencial inovador sustentável significativo, mas precisam de ajustes para que sejam viáveis de serem produzidas e comercializadas em uma escala de produção adequada para as necessidades dos mercados consumidores. As principais sugestões para melhoria do potencial inovador das pesquisas foram: a construção de unidades modelos de produção e beneficiamento de cará-roxo e/ou resíduos agroindustriais de açaí ou buriti; a promoção de um marketing baseado nas propriedades funcionais de alimentos e cosméticos; a participação de comunidades, cooperativas ou pequenos produtores locais como beneficiadores do cará-roxo ou dos resíduos agroindustriais do açaí ou buriti; e a criação de selos de procedência vinculados à Universidade Federal do Amazonas.

Adopting new technologies enable enterprises to improve employees¡¦ performance and competitive advantages. The differences in natures of adopting processes of organizations and individuals need further clarify for better understandings regarding to their framework in adopting new technologies. This paper based on the Theory of Reasoned Action (TRA) and existed research to construct the relations amongst the effective factors which affect the adopting new technologies in either individual or organization perspectives. In the individual level, the constructed research framework indicated employees¡¦ e-Learning satisfaction could be measured by three major dimensions, the perceived e-Learning qualities, individual internal beliefs (usefulness and ease of use), and social influence. Eight proposed hypothesis were confirmed by Structured Equation Modeling analysis of 428 valid samples. Path analyses verified the original path in TRA, TAM, and D&M ISS Model. The perceived e-Learning qualities and social influence cause significantly influence to employees¡¦ e-Learning satisfaction in both directly and indirectly, which by way of individual internal beliefs, positive paths. The results also showed that perceived information quality, usefulness, system quality, social influence, ease of use, and than service quality positively affect employees¡¦ satisfaction of e-Learning in descend sequences. Where, in the organization level, decision framework of adopting new technology of oil refinery was composed by modified Delphi method and was verified by Analytic Network Process from the survey of 15 experts. The consistency opinions confirmed four inter-depended dimensions and seventeen criteria were included. The results suggested that process fitness, environmental fitness, actors¡¦ organizational fitness, and new technology characteristics are important dimensions of adopting new technology in descend sequences. On the other hand, economic feasibility, relative advantages, government, environment acceptance, and engineering feasibility are the top five important factors to be evaluated during the adopting process. The different natures of adopting processes of organizations and individuals cause their different framework in adopting new technologies. This paper concluded that new technology, actors¡¦, environmental characteristics are three interdepended dimensions which influence the adopting behavior no matter in individual or organization context. In organization level of oil refinery case, actors¡¦ characteristics consist not only of actors¡¦ organizational fitness but also process fitness, which is the most important dimension while adopting new technology. In final, the implications of findings were discussed and directions were also suggested for future research.

Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-04-29T13:34:31Z No. of bitstreams: 1 Marcelo Gonçalves_.pdf: 7823321 bytes, checksum: ae0eb62f4bd23f6f3fe8277e01b01afd (MD5) / Made available in DSpace on 2016-04-29T13:34:31Z (GMT). No. of bitstreams: 1 Marcelo Gonçalves_.pdf: 7823321 bytes, checksum: ae0eb62f4bd23f6f3fe8277e01b01afd (MD5) Previous issue date: 2015-08-19 / Nenhuma / A falta de uma relação quantitativa direta com o resultado da organização torna difícil a decisão sobre qual melhoria deve primeiro receber os recursos disponíveis. Por esta decisão ser uma tarefa difícil e dependente da experiência do gestor, o uso de métodos quantitativos como apoio a tomada de decisão pode torná-la mais assertiva. Este trabalho tem como objetivo explorar a metodologia de análise multicritério para priorização de melhorias intangíveis do processo produtivo, de forma alinhada com o posicionamento estratégico da organização. Para atender este objetivo, esta pesquisa propõe um modelo para priorização de melhorias intangíveis do processo produtivo, empregando a ferramenta estratégica SWOT para agrupar os fatores relevantes, em um cenário de melhoria de processo, para uma empresa do setor ceramista. Esses fatores foram agrupados em clusters e utilizados para construção de uma rede para representar as suas relações de dependência. Em virtude da dependência existente entre os fatores, foi aplicado o método multicritério Analytic Network Process (ANP) o qual analisa, conjuntamente, a influência dos fatores para a priorização de alternativas representadas por melhorias intangíveis em um ambiente produtivo. Tanto os fatores quanto a rede do problema foram definidos por uma equipe de análise composta por gestores e especialistas. Como resultado, apresenta a priorização das melhorias intangíveis, resultado da construção das matrizes não ponderada, ponderada e aplicação da propriedade de matriz limite. Através da realização de uma análise de sensibilidade aos pesos dos clusters, foi verificada a robustez da priorização obtida. / The lack of a direct quantitative relation with the result of the organization makes it difficult to decide which improvements must first receive the resources available. For this decision to be a difficult task and dependent on manager’s experience, the use of methods to support quantitative decision-making can make it more assertive. This study aims to explore the multi-criteria analysis methodology for prioritization of intangible improvements in the production process, in alignment with the strategic positioning of the organization. In order to achieve this objective, this research proposes a model for prioritization of intangible improvements in the production process, using the SWOT analysis tool for clustering the relevant factors in a process improvement scenario for a company of ceramist sector. These factors were clustered and used to build a network to represent their dependency relationships. Due to the interdependence of the factors, the multi-criteria method Analytic Network Process (ANP) was applied to analyze together, the influence of the factors for prioritizing alternative represented by intangible improvements in a productive environment. Both factors and problem network were defined by a team composed of managers and specialists. As a result, this research presents the prioritization of intangible improvements, as the result of the construction of unweighted and weighted matrices followed by the application of the limit process of the weighted matrix. By performing a sensitivity analysis to the weights of the clusters, the robustness of the obtained prioritization has been verified.

[EN] The dilemma of development and sustainability in the local context generates multiple interests and concerns. This dissertation arises from the challenge proposed by both concepts in the framework of decision making for urban planning. Its development has been guided by two main motivations. The first and most important is to discuss sustainable development in a context where little had been said, responding to how to improve the practices used for the prioritisation of actions during the planning stages of local development projects, taking as a case study the city of Cartagena de Indias (Colombia). The second, on the other hand, responds to the interest of contributing to the field of multicriteria decision making techniques. The objective is to design a methodology to help those responsible for territorial planning to evaluate development strategies and projects. In particular, it focuses on the participation of different stakeholders and on the approach to sustainable local development. Therefore, the general research question is: how can a participatory multicriteria methodology help to evaluate local development projects with a sustainable approach? To answer this research question the present dissertation, of an exploratory and descriptive nature, has been designed, and developed from the application of three cases of iterative and complementary studies. The objective has been to propose a framework that systematically allows the taking of decisions and the integration of diverse positions, without trying to find a unique solution with the best decision model. The proposed methodology has been developed from the combination of two techniques known from the field of Operations Research, Analytic Network Process (ANP) and Social Network Analysis (SNA). SNA is used to find out how the network of actors related to a problem is structured, to study and evaluate the relationships between the actors that make it up, to determine their degree of cohesion, the actors in the most relevant positions and the existing structural gaps. All of this permits the selection of participants in the decision making process carried out through ANP. ANP is a wellknown multicriteria decision method, which provides a framework for addressing decision making or problem assessment. It defines a prioritisation model as a network with complex, interdependent and feedback relationships between elements. The elements represent characteristics, requirements, conditions or criteria related to a problem, as well as possible alternative solutions. ANP is used to discover the opinions of the participants, to obtain their decision profiles and to reach a consensus on the prioritisation of projects and strategies. Additionally, this methodological proposal, based on the SNA-ANP combination, can be completed with other techniques, for example, geographic information systems to add some components that improve the decision. The results suggest that this SNA-ANP methodology is a novel and useful combination for evaluating local development plans with a multicriteria, sustainable and participatory approach. The results establish a basis for proposing new applications and generating new discussions with the local administration and other actors. With the inclusion of the local and sustainable development approach in the decision framework, throughout this dissertation, the value of different heritages is highlighted, as is the promotion of a more adapted strategic planning and the recognition and inclusion of multiple groups of actors. In addition, the use of practical and replicable methodologies that account for the results is promoted, to be applied at different scales, in order to improve planning and prioritisation of actions. The proposal has considered the dimensions of sustainability in decision models, the active participation of decision-makers and a better selection of participants. In short, it has facilitated the construction of a more participatory decision making process. Finally, it also allows us to explore future applications and to continue the discussion related to the problem of decision making during the planning and evaluation stages of strategic projects, whether for local sustainable development or for other types of objectives. / [ES] El dilema del desarrollo y la sostenibilidad en el contexto local genera múltiples intereses e inquietudes. Esta disertación surge entorno al desafío propuesto por ambos conceptos en el marco de la toma de decisiones para la planeación urbana. Su desarrollo se ha orientado a partir de dos motivaciones principales. La primera y más importante es discutir sobre desarrollo sostenible en un contexto en el que se había hablado poco, respondiendo a cómo mejorar las prácticas utilizadas para la priorización de acciones durante las etapas de planeación de proyectos de desarrollo local, tomando como objeto de estudio la ciudad de Cartagena de Indias (Colombia). La segunda, por su parte, responde al interés por contribuir en el campo de las técnicas de toma de decisiones multicriterio. El objetivo es diseñar una metodología para ayudar a los responsables de la planificación territorial a evaluar estrategias y proyectos de desarrollo. En particular, se centra en la participación de diferentes partes interesadas y en el enfoque al desarrollo local sostenible. Por lo tanto, la pregunta general de investigación es: ¿Cómo puede una metodología multicriterio participativa ayudar a evaluar proyectos de desarrollo local con un enfoque sostenible? Para responder a esta pregunta de investigación se ha diseñado la presente disertación, de naturaleza exploratoria y descriptiva, desarrollada a partir de la aplicación de tres casos de estudios iterativos y complementarios. El objetivo ha sido proponer un marco que de forma sistemática permita tomar decisiones e integrar diversas posiciones, sin pretender hallar una solución única con el mejor modelo de decisión. La metodología propuesta se ha construido a partir de la combinación de dos técnicas conocidas del campo de la Investigación de Operaciones, el Proceso Analítico en Red (ANP) y el Análisis de Redes Sociales (SNA). El SNA se utiliza para conocer cómo se estructura la red de actores relacionados con un problema, estudiar y evaluar las relaciones entre los actores que la componen, determinar su grado de cohesión, los actores en posiciones más relevantes y los vacíos estructurales existentes. Todo ello permite seleccionar a los participantes en el proceso de toma de decisiones realizado a través del ANP. El ANP es un conocido método de decisión multicriterio, que proporciona un marco para abordar la toma de decisiones o la evaluación de problemas. Define un modelo de priorización como una red con relaciones complejas, interdependientes y retroalimentadas entre elementos. Los elementos representan características, requerimientos, condiciones o criterios relacionados con un problema, así como las posibles alternativas de solución. El ANP se utiliza para conocer las opiniones de los participantes, obtener sus perfiles de decisión y alcanzar un consenso sobre la priorización de proyectos y estrategias. Adicionalmente, esta propuesta metodológica, basada en la combinación SNA-ANP, se puede completar con otras técnicas, por ejemplo, los sistemas de información geográfica para agregar algunos componentes que mejoren la decisión. Los resultados sugieren que esta metodología SNA-ANP, es una combinación novedosa y útil para evaluar planes de desarrollo local con un enfoque multicriterio, sostenible y participativo. Los resultados establecen una base para proponer nuevas aplicaciones y generar nuevas discusiones con la administración local y otros actores. Con la inclusión del enfoque del desarrollo local y sostenible en el marco de las decisiones, a lo largo de esta disertación, se resalta el valor de distintos patrimonios, la promoción de una planeación estratégica más adaptada y el reconocimiento e inclusión de múltiples grupos de actores. Además, se promueve el uso de metodologías prácticas y replicables que den cuenta de los resultados, para ser aplicadas a diferentes escalas, con el fin de mejorar la planeación y la priorización de acciones. La propuesta ha considerado las dimensiones de la sostenibilidad en los modelos de decisión, la participación activa de los decisores y una mejor selección de los participantes. En síntesis, ha facilitado la construcción de un proceso de decisión más participativo. Finalmente, también permite explorar futuras aplicaciones y continuar la discusión relacionada con el problema de la toma de decisiones durante las etapas de planeación y evaluación de proyectos estratégicos sean para el desarrollo local sostenible o para otro tipo de objetivos. / [CA] El dilema del desenvolupament i la sostenibilitat en el context local genera múltiples interessos i inquietuds. Aquesta dissertació sorgeix entorn al desafiament proposat per ambdós conceptes en el marc de la presa de decisions per a la planificació urbana. El seu desenvolupament s'ha orientat a partir de dues motivacions principals. La primera i més important és discutir sobre desenvolupament sostenible en un context en què s'havia parlat poc, responent a com millorar les pràctiques utilitzades per a la priorització d'accions durant les etapes de planificació de projectes de desenvolupament local, prenent com a objecte d'estudi la ciutat de Cartagena d'Índies (Colòmbia). La segona, per la seva banda, respon a l'interès per contribuir en el camp de les tècniques de presa de decisions multicriteri. L'objectiu és dissenyar una metodologia per ajudar els responsables de la planificació territorial a avaluar estratègies i projectes de desenvolupament. En particular, es centra en la participació de diferents parts interessades i en l'enfocament al desenvolupament local sostenible. Per tant, la pregunta general d'investigació és: Com pot una metodologia multicriteri participativa ajudar a avaluar projectes de desenvolupament local amb un enfocament sostenible? Per respondre a aquesta pregunta de recerca s'ha dissenyat la present dissertació, de naturalesa exploratòria i descriptiva, desenvolupada a partir de l'aplicació de tres casos d'estudi iteratius i complementaris. L'objectiu ha estat proposar un marc que de forma sistemàtica permeti prendre decisions i integrar diverses posicions, sense pretendre trobar una solució única amb el millor model de decisió. La metodologia proposada s'ha construït a partir de la combinació de dues tècniques conegudes del camp de la Investigació d'Operacions, el Procés Analític en Xarxa (ANP) i l'anàlisi de xarxes socials (SNA). El SNA s'utilitza per conèixer com s'estructura la xarxa d'actors relacionats amb un problema, estudiar i avaluar les relacions entre els actors que la componen, determinar el seu grau de cohesió, els actors en posicions més rellevants i els buits estructurals existents. Tot això permet seleccionar els participants en el procés de presa de decisions realitzat a través de l'ANP. L'ANP és un conegut mètode de decisió multicriteri, que proporciona un marc per abordar la presa de decisions o l'avaluació de problemes. Defineix un model de priorització com una xarxa amb relacions complexes, interdependents i retroalimentades entre elements. Els elements representen característiques, requeriments, condicions o criteris relacionats amb un problema, així com les possibles alternatives de solució. El ANP s'utilitza per conèixer les opinions dels participants, obtenir els seus perfils de decisió i arribar a un consens sobre la priorització de projectes i estratègies. Addicionalment, aquesta proposta metodològica, basada en la combinació SNA-ANP, es pot completar amb altres tècniques, per exemple, els sistemes d'informació geogràfica per afegir alguns components que millorin la decisió. Els resultats suggereixen que aquesta metodologia SNA-ANP, és una combinació innovadora i útil per avaluar plans de desenvolupament local amb un enfocament multicriteri, sostenible i participatiu. Els resultats estableixen una base per proposar noves aplicacions i generar noves discussions amb l'administració local i altres actors. Amb la inclusió de l'enfocament del desenvolupament local i sostenible en el marc de les decisions, al llarg d'aquesta dissertació, es ressalta el valor de diferents patrimonis, la promoció d'una planificació estratègica més adaptada i el reconeixement i inclusió de múltiples grups d'actors . A més, es promou l'ús de metodologies pràctiques i replicables que donin compte dels resultats, per ser aplicades a diferents escales, per tal de millorar la planificació i la priorització d'accions. La proposta ha considerat les dimensions de la sostenibilitat en els models de decisió, la participació activa dels decisors i una millor selecció dels participants. En síntesi, ha facilitat la construcció d'un procés de decisió més participatiu. Finalment, també permet explorar futures aplicacions i continuar la discussió relacionada amb el problema de la presa de decisions durant les etapes de planificació i avaluació de projectes estratègics siguin per al desenvolupament local sostenible o per a un altre tipus d'objectius. / Gonzalez Urango, HK. (2020). A participatory multicriteria approach to evaluate strategic projects for local sustainable development [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/149490 / TESIS

[ES] La toma de decisiones en situaciones complejas y dinámicas representa un gran desafío para los tomadores de decisiones, quienes deben considerar múltiples criterios interdependientes. En este contexto, los métodos de análisis multicriterio de decisión (MCDA) son ampliamente utilizados, pero la mayoría de ellos asumen que los criterios son independientes, lo cual no es aplicable en la mayoría de los problemas del mundo real. El proceso analítico en red (ANP) es una técnica de MCDA que permite modelar las interacciones entre los criterios de decisión, lo que la hace más aplicable a problemas reales. ANP es una generalización del método de proceso jerárquico analítico (AHP), pero a diferencia de este último, reconoce las influencias recíprocas entre los elementos en un problema de toma de decisiones. ANP utiliza una red ponderada y dirigida para modelar estas interacciones, lo que permite una modelización más realista y precisa del problema. Aunque ANP es el método preferido para modelar situaciones de interdependencia y retroalimentación, presenta desafíos en la práctica, particularmente debido al gran número de comparaciones por pares requeridas. Esta tesis aborda la complejidad de ANP y su principal desafío: las matrices de comparación por pares que miden la influencia de un elemento sobre otro en la red. Se presenta un modelo híbrido de ANP simplificado con la técnica DEMATEL que reduce el número de comparaciones por pares necesarias mediante la utilización de escalas de influencia directa, lo que lo hace más factible de aplicar en la práctica. Además, se han recomendado escalas de medición de influencia directa para normalizar los valores numéricos obtenidos, dividiendo por la suma en lugar de una matriz de transición. La medida se vuelve más precisa con más divisiones de escala. En el estudio de caso presentado, se demostró que la propuesta de modelo combinado DEMATEL basado en ANP puede reducir en promedio el 42% del número de preguntas necesarias en comparación con el modelo ANP original, y aun así obtener resultados similares. / [CA] La presa de decisions en situacions complexes i dinàmiques representa un gran desafiament per als prescriptors, els quals han de considerar múltiples criteris interdependents. En aquest context, els mètodes d'anàlisi multicriteri de decisió (MCDA) són àmpliament utilitzats, però la majoria d'ells assumeixen que els criteris són independents, la qual cosa no és aplicable en la majoria dels problemes del món real. El procés analític en xarxa (ANP) és una tècnica de MCDA que permet modelar les interaccions entre els criteris de decisió, la qual cosa la fa més aplicable a problemes reals. ANP és una generalització del mètode de procés jeràrquic analític (AHP), però a diferència d'aquest últim, reconeix les influències recíproques entre els elements en un problema de presa de decisions. ANP utilitza una xarxa ponderada i dirigida per modelar aquestes interaccions, la qual cosa permet una modelització més realista i precisa del problema. Encara que ANP és el mètode preferit per modelar situacions d'interdependència i retroalimentació, presenta desafiaments en la pràctica, particularment a causa del gran nombre de comparacions per parells requerides. Aquesta tesi aborda la complexitat d'ANP i el seu principal desafiament: les matrius de comparació per parells que mesuren la influència d'un element sobre un altre en la xarxa. Es presenta un model híbrid d'ANP simplificat amb la tècnica DEMATEL que redueix el nombre de comparacions per parells necessàries mitjançant l'utilització d'escales d'influència directa, la qual cosa el fa més factible d'aplicar en la pràctica. A més, s'han recomanat escales de mesura d'influència directa per normalitzar els valors numèrics obtinguts, dividint per la suma en lloc d'una matriu de transició. La mesura es torna més precisa amb més divisions d'escala. En l'estudi de cas presentat, es va demostrar que la proposta de model combinat DEMATEL basat en ANP pot reduir en promig el 42% del nombre de preguntes necessàries en comparació amb el model ANP original, i encara obtenir resultats similars. / [EN] Decision-making in complex and dynamic situations poses a great challenge for decision makers who must consider multiple interdependent criteria. In this context, multicriteria decision analysis (MCDA) methods are widely used, but most of them assume that criteria are independent, which is not applicable in most real-world problems. Analytic network process (ANP) is an MCDA technique that allows modeling the interactions between decision criteria, making it more applicable to real-world problems. ANP is a generalization of the analytic hierarchy process (AHP), but unlike the latter, it recognizes reciprocal influences between elements in a decision-making problem. ANP uses a weighted and directed network to model these interactions, allowing for a more realistic and accurate modeling of the problem. Although ANP is the preferred method for modeling interdependence and feedback situations, it presents challenges in practice, particularly due to the large number of pairwise comparisons required. This thesis addresses the complexity of ANP and its main challenge: the pairwise comparison matrices that measure the influence of one element on another in the network. A simplified hybrid ANP model with the DEMATEL technique is presented, which reduces the number of pairwise comparisons required by using direct influence scales, making it more feasible to apply in practice. Additionally, recommended direct influence measurement scales have been suggested to normalize the numerical values obtained by dividing by the sum instead of a transition matrix. The measure becomes more precise with more scale divisions. In the case study presented, it was demonstrated that the proposed DEMATEL-ANP combined model can reduce on average 42% of the necessary questions compared to the original ANP model, and still obtain similar results. / Schulze González, EA. (2023). Análisis del uso de escalas de medida de influencia en el proceso analítico de redes (ANP) para la toma de decisiones multicriterio [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/196689

Network screening and countermeasure selection are two crucial steps in the highway improvement process. In network screening, potential improvement locations are ranked and prioritized based on a specific method with a set of criteria. The most common practice by transportation agencies has been to use a simple scoring method, which, in general, weighs and scores each criterion and then ranks the locations based on their relative overall scoring. The method does not deal well with criteria that are qualitative in nature, nor does it account for the impacts of correlation among the criteria. The introduction of Analytic Hierarchy Process (AHP) provides agencies with a method to include both quantitative and qualitative criteria. However, it does not address the issue on correlation. This dissertation explores the use of both Analytic Network Process (ANP) and Fuzzy Analytic Network Process (FANP) for their potential capabilities to address both issues. Using urban four-lane divided highways in Florida for bicycle safety improvements, both ANP and FANP were shown to provide more reasonable rankings than AHP, with FANP providing the best results among the methods. After the locations are ranked and prioritized for improvements, the next step is to evaluate the potential countermeasures for improvements at the selected top-ranked locations. In this step, the standard practice has been to use Crash Modification Factors (CMFs) to quantify the potential impacts from implementing specific countermeasures. In this research, CMFs for bicycle crashes on urban facilities in Florida were developed using the Generalized Linear Model approach with a Zero-Inflated Negative Binomial (ZINB) distribution. The CMFs were tested for their spatial and temporal transferability and the results show only limited transferability both spatially and temporally. The CMFs show that, in general, wider lanes, lower speed limits, and presence of vegetation in the median reduce bicycle crashes, while presence of sidewalk and sidewalk barrier increase bicycle crashes. The research further considered bicycle exposure using the bicycle activity data from the Strava smartphone application. It was found that increased bicycle activity reduces bicycle crash probabilities on segments but increases bicycle crash probabilities at signalized intersections. Also, presence of bus stops and use of permissive signal phasing at intersections were found to increase bicycle crash probabilities.