Abstract Intelligent field technology is being developed for the management of industrial processes, but its development and diffusion have met with problems. This research looks at the problem area from the perspective of industrial decision-makers and end users. The lowest level of process management consists of various electrical, pneumatic and hydraulic devices, using analog and digital signals. In this research the term 'field technology' refers to instrumentation and electrical devices, the communication between them, alarm and registration devices, programs, functions and process management methods. Important concepts in this connection are distribution, availability performance, usability, feasibility and degree of automation. Decision-making and hermeneutical methodologies have been used as research strategies. The leading idea is to provide support to industrial decision-makers and end users involved in the design and planning of processes, field technology and management systems. The research strategy is applied in all parts of the research: methods, historical review, decision-making support model and criteria, and when studying the diffusion of innovations. The objective is to experimentally verify the decision-making models. This was accomplished by means of multiple-choice questionnaires, example and case process surveys, and by collecting information on intelligent field technology. The target group of the research consisted of 50 decision-makers and end users from 20 factories, and the response percentage varied from 28% to 47%. The study of the example and case processes contains contributions from 13 key persons from the factories. Field technology knowledge has been obtained from a number of experts and sources. The results have been employed to verify the current multivariable decision-making model and its technological and economic subcriteria and decision-making criteria (1), as well as the expanded multivariable decision-making model based on the features of intelligent field technology (2). The most significant parameters of the example processes are described (3). The typical characteristics, operations, input and output materials of the case processes and their parameters are examined and assessed (4). A proposal for intelligent field technology solutions will also be made (5). The decision-making support model is an excellent tool in situations involving technological changes. The current set of decision-making criteria will have to change and expand due to the concepts, operations and changes introduced by new, intelligent field technology. Changes will occur in the communication protocol interfaces, in the data processing of field devices, in diagnostic operations and operation management. Suitable decision-making tools include development and decision databases, lifelong learning, human and electronic information networks, the decision-making support model, and benchmarking. In the future, investments will focus on the acquisition and maintenance of field technology. Intelligent field technology is more expensive, and thus automation design requires more economic and human resources during the diffusion phase; its economic benefits will become more apparent when it gains more ground and the users' skills and expertise increase. Industrial enterprises must actively seek to promote the diffusion of innovations. The current research has also brought up numerous topics that would merit further research.

The diploma thesis deals with the application of the theory of fuzzy logic in the evaluation of client translation commissions for a foreign language text. This fuzzy model is used for better selection of orders and faster allocation of human resources for specific orders. The fuzzy model is composed of multi-valued decision-making criteria that are essential for the company. The model is processed in MS Excel using VBA and MathWorks MATLAB.

Submitted by Ronaldo Alves de Amorim (ronaldoalvesamorim@gmail.com) on 2017-01-05T17:01:48Z No. of bitstreams: 1 Gestão de Pessoas e Processos Gerenciais_Amorim.pdf: 2119198 bytes, checksum: 5f58b0a367a264c031b04f7c3832bae2 (MD5) / Rejected by Fabiana da Silva Segura (fabiana.segura@fgv.br), reason: Prezado Ronaldo Por favor fazer as correções Tirar o acento de Getulio Nome, e título nas páginas deve ser em letra maiúscula No final da página deixar somente São Paulo e ano ...excluir - SP Corrigir o campo de conhecimento: Gestão de Pessoas e Práticas Gerenciais Após as correções submeter novamente o trabalho on 2017-01-05T17:27:38Z (GMT) / Submitted by Ronaldo Alves de Amorim (ronaldoalvesamorim@gmail.com) on 2017-01-06T12:46:39Z No. of bitstreams: 1 Gestão de Pessoas e Práticas Gerenciais_Amorim.pdf: 2120040 bytes, checksum: b655d91dced8eb54b534f744575f26ba (MD5) / Approved for entry into archive by Fabiana da Silva Segura (fabiana.segura@fgv.br) on 2017-01-06T14:25:11Z (GMT) No. of bitstreams: 1 Gestão de Pessoas e Práticas Gerenciais_Amorim.pdf: 2120040 bytes, checksum: b655d91dced8eb54b534f744575f26ba (MD5) / Made available in DSpace on 2017-01-09T12:29:14Z (GMT). No. of bitstreams: 1 Gestão de Pessoas e Práticas Gerenciais_Amorim.pdf: 2120040 bytes, checksum: b655d91dced8eb54b534f744575f26ba (MD5) Previous issue date: 2016-12-15 / Startups, young firms generally developing an innovative proposal and under extreme uncertainty conditions, generally need external funds to grow and these new enterprises frequently turn to angel investors as an option of venture capital. It happens because startups are young companies with no financial record and most of the times without real asset to be given as collateral, therefore, with not enough credentials to apply for a conventional bank financing. Angel investors are wealthy individuals who invest not just own money, but also their expertise and knowledge in startups, also known as ventures. The objective of this research is to better comprehend the angel investment decision making process, identifying and analyzing the most important criteria that Brazilian angel investors use to decide on funding new ventures. The main research environment is Gávea Angels, the first angel association in Brazil, and on a secondary basis, investors from this researcher and his professor networking. This research is quantitative and based on a questionnaire with attributes previously defined in research performed in the USA with answers varying from 1 (not important) up to 5 (very important). The result of criteria prioritization was based on simple average followed by their standard deviation. It also compared and analyzed empirical results of this research with the findings of another relevant search conducted in the USA by Sudek (2006). Answers were based in past experiences lived by each investor and results were analyzed not just in an aggregate way but also segregated by investors seniority (given by number of investments done). This research also analyzed the most important behavioral criteria of management team. Confirming findings of other international studies, the results of this research showed that irrespective of the market, product or financial criteria, the criterion prioritized were those regarding entrepreneur and his/her management team, as it follows: (1) trustworthiness/honesty of the entrepreneur; (2) enthusiasm/commitment of the entrepreneur; (3) management team; (4) domain expertise of the entrepreneur. The criterion ‘how persistence they will be without giving up’ and ‘passion of the team’ were the most important attributes on the particular analysis of ‘management team’. The contribution of this work is to stimulate more studies of a very incipient issue in the world and mainly in Brazil, and also increase the understanding about investing in startups, bringing more insights to entrepreneurs of what matters most to investors when searching for venture capital, and also shedding light to the positive impact of this market on Brazilian economy development. / As startups, empresas nascentes geralmente atuando em uma proposta inovadora e em condições de grande incerteza, geralmente precisam de financiamento para crescer e estes novos empreendimentos frequentemente se voltam a investidores anjos como opção de capital. Isso ocorre porque as startups são jovens empresas sem maturidade de caixa e muitas vezes sem ativos reais para serem dados em garantia, logo, sem credenciais necessárias para levantar financiamentos bancários convencionais. Investidores anjo são indivíduos com grande disponibilidade de recursos financeiros que decidem investir nestes negócios de risco trazendo frequentemente não somente capital, mas também conhecimento e experiência. O objetivo deste estudo é compreender melhor o processo decisório de investimento anjo em startups, identificando e analisando quais são os critérios de investimento priorizados pelos investidores anjo brasileiros em seus investimentos em startups. O ambiente principal de pesquisa deste trabalho foi a Gávea Angels, a mais antiga associação de anjos do Brasil, e de forma secundária, os investidores da rede de contatos do pesquisador e seu orientador. Esta pesquisa foi quantitativa e baseada em resposta de questionário (survey) com o universo de atributos já levantados em pesquisa de mesmo gênero feita nos EUA com respostas variando de 1 (sem importância) até 5 (mais importante). O resultado da priorização dos critérios ocorreu mediante média simples das respostas com inclusão do seu desvio padrão. Também se comparou e analisou os dados empíricos desta pesquisa com outra de grande relevância feita nos EUA por Sudek (2006). As respostas se basearam em experiências de investimentos vividas por cada investidor anjo e os resultados foram analisados não somente de forma consolidada, mas também de forma segregada pela senioridade dos investidores (dado pelo número de investimentos feitos). Também se analisou os critérios comportamentais mais importantes do time de gestão. Em linha com grande parte dos estudos internacionais sobre o assunto, os resultados demonstraram que a despeito da importância dos critérios ligados ao mercado, produto e dados financeiro, os critérios priorizados foram aqueles ligados ao empreendedor e seu time de gestão, conforme segue: (1) confiabilidade/honestidade do empreendedor; (2) entusiasmo/comprometimento do empreendedor; (3) time de gestão; (4) expertise de domínio do empreendedor. Os critérios ‘resiliência’ e ‘paixão do time’ foram os atributos mais importantes na análise particular do ‘time de gestão’. A contribuição deste estudo está em fomentar mais pesquisas de um assunto bastante incipiente no mundo e principalmente no Brasil, e também aumentar o entendimento sobre os investimentos em startups, dando mais clareza ao empreendedor do que o investidor busca em cada venture, e também dar mais luz à importância da ‘cultura’ do investimento anjo para o financiamento de inovações que impactem positivamente o desenvolvimento do Brasil.