Monetary equilibrium with decentralized trade and learning

This paper analyzes the stability of monetary regimes in an economy where fiat money is endogenously created by the government, information about its value is imperfect, and learning is decentralized. We show that monetary stability depends crucially on the speed of information transmission in the economy. Our model generates a dynamic on the acceptability of fiat money that resembles historical accounts of the rise and eventual collapse of overissued paper money. It also provides an explanation of the fact that, despite its obvious advantages, the widespread use of fiat money is only a recent development.

Ontology-based metadata for e-learning content

Nowadays, the popularity of the Web encourages the development of Hypermedia Systems dedicated to e-learning. Nevertheless, most of the available Web teaching systems apply the traditional paper-based learning resources presented as HTML pages making no use of the new capabilities provided by the Web. There is a challenge to develop educative systems that adapt the educative content to the style of learning, context and background of each student. Another research issue is the capacity to interoperate on the Web reusing learning objects. This work presents an approach to address these two issues by using the technologies of the Semantic Web. The approach presented here models the knowledge of the educative content and the learner’s profile with ontologies whose vocabularies are a refinement of those defined on standards situated on the Web as reference points to provide semantics. Ontologies enable the representation of metadata concerning simple learning objects and the rules that define the way that they can feasibly be assembled to configure more complex ones. These complex learning objects could be created dynamically according to the learners’ profile by intelligent agents that use the ontologies as the source of their beliefs. Interoperability issues were addressed by using an application profile of the IEEE LOM- Learning Object Metadata standard.

As duas faces das técnicas de gestão: aprendizagem e inovação evidências de empresa do setor siderúrgico no Brasil

Ao longo dos últimos 20 anos tem havido uma profusão de estudos que examinam, no âmbito de empresas, a contribuição dos mecanismos de aprendizagem e da adoção de técnicas de gestão para o processo de acumulação tecnológica. No entanto, ainda são escassos os estudos que examinem, de maneira conjunta e sob uma perspectiva dinâmica, o relacionamento entre a adoção de técnicas de gestão, mecanismos de aprendizagem e trajetórias de acumulação de capacidades tecnológicas. Mais que isto, faltam estudos que examinem o duplo papel das técnicas de gestão, ora como parte do estoque de capacidades tecnológicas, ora como um processo de aprendizagem tecnológica em si. Esta dissertação objetiva oferecer uma contribuição para preencher esta lacuna neste campo de estudo. O enfoque desta dissertação deriva de observações empíricas, realizadas em empresas, e inspira-se no clássico estudo Innovation and Learning: the two faces of R&D, de Cohen e Levinthal (1989). Assim a dissertação baseia-se em um estudo de caso individual, realizado em uma empresa do setor siderúrgico no Brasil, no período de 1984 a 2008, examinando estas questões à luz de modelos analíticos disponíveis na literatura internacional. Neste sentido, adotou-se o entendimento de capacidade tecnológica como o conjunto de recursos necessários para gerar e gerir mudanças tecnológicas, sendo construída e acumulada de forma gradual, a partir do engajamento em processos de aprendizagem e da coordenação de bases de conhecimentos acumulados em diferentes dimensões, simbioticamente relacionadas. As métricas utilizadas identificam tipos e níveis de capacidade tecnológica para diferentes funções e identifica quatro tipos de processos de aprendizagem tecnológica e os avalia em termos de suas características-chave. Tomando-se por base evidências empíricas qualitativas e quantitativas, colhidas em primeira mão, a base de trabalho de campo, este estudo verificou que: 1. A empresa acumulou níveis inovativos de capacidades tecnológicas em todas as funções examinadas, sendo o nível Inovativo Intermediário (Nível 5) nas funções Engenharia de Projetos (de forma incompleta) e Equipamentos e o nível Intermediário Avançado (Nível 6) nas funções Processos e Organização da Produção e Produtos. 2. Os mecanismos de aprendizagem subjacentes à acumulação destes níveis de capacidade tecnológica apresentaram resultados relevantes em termos de suas características-chave, principalmente no que diz respeito à variedade e intensidade: de 24 mecanismos em 1984 para um total de 59 em 2008, com uma variação de 145,8%, e com 56 dos 59 mecanismos (94,92%) utilizados atualmente de forma sistemática. 3. O período compreendido entre os anos de 1990 e 2004, no qual foram implementadas as técnicas de gestão estudadas, exceto o Plano de Sugestões, se caracteriza por apresentar a maior taxa de acumulação de capacidades tecnológicas e por dar início à utilização da quase totalidade dos 35 novos mecanismos de aprendizagem incorporados pela empresa após o início de suas operações (1984). E que as técnicas de gestão estudadas: 1. Colaboraram para o processo de aprendizagem tecnológica da AMBJF, principalmente pela necessidade de se: (i) incorporar novos mecanismos de aprendizagem que lhe permitissem acumular, antecipadamente, a base de conhecimentos necessária à implementação das técnicas de gestão estudadas; (ii) coordenar um número maior de mecanismos que dessem o adequado suporte ao aumento da complexidade de seu Sistema de Gestão Integrada (SOl). 2. Ampliaram, por si, o estoque de capacidades tecnológicas da empresa, maIS especificamente em sua dimensão organizacional, a partir da acumulação de conhecimento em procedimentos, instruções de trabalho, manuais, processos e fluxos de gestão e de produção, dentre outros. Desta forma, os resultados aqui encontrados confirmam que a adoção e a implementação das técnicas de gestão estudadas contribuíram com e influenciaram o processo de aprendizagem tecnológica e a trajetória de acumulação tecnológica da empresa, ao mesmo tempo, exercendo, portanto, um duplo papel na organização. Esta conclusão nos leva a um melhor entendimento do tema e pode contribuir para a compreensão de ações políticas e gerenciais que possam acelerar a acumulação de capacidades tecnológicas, entendendo a relevância das técnicas de gestão menos em termos de sua "mera" adoção e mais do seu processo de implementação.

Inovação em recursos naturais: acumulação de capacidade em uma empresa de mineração no Brasil (1994-2008)

Ao longo dos últimos 40 anos tem havido uma profusão de estudos sobre acumulação de capacidades tecnológicas em empresas de economias emergentes. Porém, são escassos os estudos que examinem, de maneira conjunta e de uma perspectiva dinâmica, o relacionamento entre trajetórias de acumulação de capacidades tecnológicas e os mecanismos subjacentes de aprendizagem. São ainda mais escassos estudos sobre este relacionamento em firmas atuando na indústria de processamento de recursos naturais. O interesse neste último está em oferecer uma visão alternativa de alguns autores quando se referem a estas indústrias como 'maduras', de 'baixa tecnologia' ou meramente produtoras de 'commodities' e 'no fim da linha de inovação'. Logo, neste estudo, defende-se que as inovações tecnológicas estão bem presentes em empresas baseadas em processamento de recursos naturais, principalmente em empresas de mineração. Buscando preencher essas lacunas da literatura, examinam-se, nesta dissertação, essas questões à luz de modelos analíticos disponíveis na literatura internacional -, adaptados para o contexto desta dissertação. O modelo para examinar a acumulação de capacidades tecnológicas identifica as capacidades para as funções tecnológicas de processos e organização da produção. Para a análise das fontes de capacidades tecnológicas, utiliza-se, nesta dissertação, o modelo para examinar as estratégias intraorganizacionais que desmembram o processo de aprendizagem em aquisição de conhecimento externo e interno e os convertem do nível individual para o organizacional pela socialização e codificação, com base em suas característicaschave: variedade, intensidade e funcionamento. Esse conjunto de relacionamentos é examinado por meio de estudo de caso simples e de longo prazo (1994-2008) em uma empresa de processamento de recursos naturais (mineração de cobre) no Brasil. Tomando-se por base evidências empíricas qualitativas e quantitativas, colhidas em primeira mão, verificou-se o seguinte. 1. A empresa acumulou capacidade inovadora em processos e organização da produção em Nível Inovador Intermediário, ou seja, a empresa já promove a expansão sistemática da capacidade por meio da manipulação de parâmetros-chave de processo. Verificou-se também que a firma tem potencial para atingir o Nível Inovador Avançado em virtude dos avanços obtidos em seu projeto de biolixiviação de cobre sulfetedo. Este nível não foi atingido porque, ao final da pesquisa, a aplicação comercial bem-sucedida deste projeto ainda não tinha sido comprovada. 2. Os vários processos e mecanismos de aprendizagem tiveram um papel crucial na acumulação desse nível de capacidade inovadora. Especificamente a progressiva incidência e a maneira como os mecanismos de aprendizagem foram criados e geridos na empresa contribuíram decisivamente para criar uma base de conhecimento que pennitiu à empresa desenvolver capacidades tanto para atividades de produção como para atividades de inovação. Não obstante, as evidências também sugerem que estes mesmos tipos de mecanismos não foram suficientes para que a empresa acumulasse capacidades além do nível alcançado. Ou seja, o alcance de níveis mais sofisticados de inovação implica a adoção de mecanismos mais complexos de aprendizagem. Naturalmente, outros fatores, como o comportamento da liderança empresarial, também contribuíram para o acúmulo dessas capacidades, embora este ponto tenha sido examinado aqui de maneira superficial. Esses resultados fazem avançar nosso entendimento sobre as dificuldades e complexidades envolvidas no processo de acumulação de capacidades inovadoras em empresas de economias emergentes. O estudo contribui para mostrar que, se empresas dessa natureza objetivarem acumular níveis inovadores de capacidade tecnológica e, com isso, obter melhor performance competitiva, terão que desenhar estratégias robustas de aprendizagem. Finalmente, o estudo joga luz no entendimento sobre o processo de inovação em empresas em indústrias à base de processamento de recursos naturais, setores estes de grande importância para países ricos em recursos naturais como o Brasil.

Does absorptive capacity affect project performance? A study based on project management practices, organization learning, and knowledge

The literature has emphasized that absorptive capacity (AC) leads to performance, but in projects its influences still unclear. Additionally, the project success is not well understood by the literature, and AC can be an important mechanism to explain it. Therefore, the purpose of this study is to investigate the effect of absorptive capacity on project performance in the construction industry of São Paulo State. We study this influence through potential and realized absorptive capacity proposed by Zahra and George (2002). For achieving this goal, we use a combination of qualitative and quantitative research. The qualitative research is based on 15 interviews with project managers in different sectors to understand the main constructs and support the next quantitative phase. The content analysis was the technique used to analyze those interviews. In quantitative phase through a survey questionnaire, we collected 157 responses in the construction sector with project managers. The confirmatory factor analysis and hierarchical linear regression were the techniques used to assess the data. Our findings suggest that the realized absorptive capacity has a positive influence on performance, but potential absorptive capacity and the interactions effect have no influence on performance. Moreover, the planning and monitoring have a positive impact on budget and schedule, and customer satisfaction while risk coping capacity has a positive impact on business success. In academics terms, this research enables a better understanding of the importance of absorptive capacity in the construction industry and it confirms that knowledge application in processes and routines enhances performance. For management, the absorptive capacity enables the improvements of internal capabilities reflected in the increased project management efficiency. Indeed, when a company manages project practices efficiently it enhances business and project performance; however, it needs initially to improve its internal abilities to enrich processes and routines through relevant knowledge.

Do firms always want to learn from corporate venture capital investments?

In this paper, the learning intentions and outcomes for corporate venture capital are questioned. Through qualitative research in the oil and gas sector, we identified a desire to control the direction and pace of innovation as the main driver for this type of investments. A new model and framework for CVC are presented. Contrary to the traditional model of CVC, which features a dyadic relation between corporate investor and venture entrepreneur, our model shows that CVC investments create a more complex conjoint of relations between multiple stakeholders. These relations challenge the neo-Schumpeterian model of competition. Using the grounded theory approach, we created a theoretical framework explaining and predicting outcomes of corporate venture capital other than learning. At firm level, our framework conceptualizes CVC programs as dynamic capabilities, and suggests a competitive advantage for the corporate investor through its ability to faster and better integrate the new technology. At market level, we proposed that CVC investments positively affect the pace of innovation in the market through an increased speed of acceptance of technologies supported by corporate investors.

The importance of firms' strategic resources and capabilities in crisis situations

The general idea of this research is to analyze overall firm performance before and after the global financial crisis of 2008. The main question is: What kind of strategies did companies adopt that led to positive business performance after the crisis? Are there any particular competitive advantages that bring better performance in the case of an economic downturn? This research focuses on competitive advantage gained by resource-based view attributes of a product (quality, durability and prestige) and dynamic capabilities (strategic flexibility in product development and technological innovation ability). The economic crisis setting provides a proper background to analyze the competitive advantage strategies in a dynamic, low-probability environment to determine which are most worth adopting in the business world. I employ an OLS regression analysis in order to measure the business performance of 136 Brazilian firms across four years – 2002, 2005, 2008 and 2012. The findings indicate that even though all of the strategic resources and capabilities positively influence firm performance in expansionary periods, only the superior product characteristics are pertinent in surviving an economic downturn.

Learning in peer-to-peer markets: evidence from Airbnb

Peer-to-peer markets are highly uncertain environments due to the constant presence of shocks. As a consequence, sellers have to constantly adjust to these shocks. Dynamic Pricing is hard, especially for non-professional sellers. We study it in an accommodation rental marketplace, Airbnb. With scraped data from its website, we: 1) describe pricing patterns consistent with learning; 2) estimate a demand model and use it to simulate a dynamic pricing model. We simulate it under three scenarios: a) with learning; b) without learning; c) with full information. We have found that information is an important feature concerning rental markets. Furthermore, we have found that learning is important for hosts to improve their profits.

Flexible information acquisition and optimal Tobin tax in tractable dynamic global games

My dissertation focuses on dynamic aspects of coordination processes such as reversibility of early actions, option to delay decisions, and learning of the environment from the observation of other people’s actions. This study proposes the use of tractable dynamic global games where players privately and passively learn about their actions’ true payoffs and are able to adjust early investment decisions to the arrival of new information to investigate the consequences of the presence of liquidity shocks to the performance of a Tobin tax as a policy intended to foster coordination success (chapter 1), and the adequacy of the use of a Tobin tax in order to reduce an economy’s vulnerability to sudden stops (chapter 2). Then, it analyzes players’ incentive to acquire costly information in a sequential decision setting (chapter 3). In chapter 1, a continuum of foreign agents decide whether to enter or not in an investment project. A fraction λ of them are hit by liquidity restrictions in a second period and are forced to withdraw early investment or precluded from investing in the interim period, depending on the actions they chose in the first period. Players not affected by the liquidity shock are able to revise early decisions. Coordination success is increasing in the aggregate investment and decreasing in the aggregate volume of capital exit. Without liquidity shocks, aggregate investment is (in a pivotal contingency) invariant to frictions like a tax on short term capitals. In this case, a Tobin tax always increases success incidence. In the presence of liquidity shocks, this invariance result no longer holds in equilibrium. A Tobin tax becomes harmful to aggregate investment, which may reduces success incidence if the economy does not benefit enough from avoiding capital reversals. It is shown that the Tobin tax that maximizes the ex-ante probability of successfully coordinated investment is decreasing in the liquidity shock. Chapter 2 studies the effects of a Tobin tax in the same setting of the global game model proposed in chapter 1, with the exception that the liquidity shock is considered stochastic, i.e, there is also aggregate uncertainty about the extension of the liquidity restrictions. It identifies conditions under which, in the unique equilibrium of the model with low probability of liquidity shocks but large dry-ups, a Tobin tax is welfare improving, helping agents to coordinate on the good outcome. The model provides a rationale for a Tobin tax on economies that are prone to sudden stops. The optimal Tobin tax tends to be larger when capital reversals are more harmful and when the fraction of agents hit by liquidity shocks is smaller. Chapter 3 focuses on information acquisition in a sequential decision game with payoff complementar- ity and information externality. When information is cheap relatively to players’ incentive to coordinate actions, only the first player chooses to process information; the second player learns about the true payoff distribution from the observation of the first player’s decision and follows her action. Miscoordination requires that both players privately precess information, which tends to happen when it is expensive and the prior knowledge about the distribution of the payoffs has a large variance.

Estudo e implementação de algoritmos inteligentes para detecção e classificação de falhas na medição de gás natural

This master dissertation presents the study and implementation of inteligent algorithms to monitor the measurement of sensors involved in natural gas custody transfer processes. To create these algoritmhs Artificial Neural Networks are investigated because they have some particular properties, such as: learning, adaptation, prediction. A neural predictor is developed to reproduce the sensor output dynamic behavior, in such a way that its output is compared to the real sensor output. A recurrent neural network is used for this purpose, because of its ability to deal with dynamic information. The real sensor output and the estimated predictor output work as the basis for the creation of possible sensor fault detection and diagnosis strategies. Two competitive neural network architectures are investigated and their capabilities are used to classify different kinds of faults. The prediction algorithm and the fault detection classification strategies, as well as the obtained results, are presented

Development of technological capabilities in an extremely volatile economy. The industrial sector in Argentina

Includes bibliography

Power Electronics course: Analysis and evaluation of the educational software and the environment learning

This paper presents the analysis and evaluation of the Power Electronics course at So Paulo State University-UNESP-Campus of Ilha Solteira(SP)-Brazil, which includes the usage of interactive Java simulations tools and an educational software to aid the teaching of power electronic converters. This platform serves as an oriented course for the lectures and supplementary support for laboratory experiments in the power electronics courses. The simulation tools provide an interactive and dynamic way to visualize the power electronics converters behavior together with the educational software, which contemplates the theory and a list of subjects for circuit simulations. In order to verify the performance and the effectiveness of the proposed interactive educational platform, it is presented a statistical analysis considering the last three years. © 2011 IEEE.

Transaction scheduling using dynamic conflict avoidance

Software transaction memory (STM) systems have been used as an approach to improve performance, by allowing the concurrent execution of atomic blocks. However, under high-contention workloads, STM-based systems can considerably degrade performance, as transaction conflict rate increases. Contention management policies have been used as a way to select which transaction to abort when a conflict occurs. In general, contention managers are not capable of avoiding conflicts, as they can only select which transaction to abort and the moment it should restart. Since contention managers act only after a conflict is detected, it becomes harder to effectively increase transaction throughput. More proactive approaches have emerged, aiming at predicting when a transaction is likely to abort, postponing its execution. Nevertheless, most of the proposed proactive techniques are limited, as they do not replace the doomed transaction by another or, when they do, they rely on the operating system for that, having little or no control on which transaction to run. This article proposes LUTS, a lightweight user-level transaction scheduler. Unlike other techniques, LUTS provides the means for selecting another transaction to run in parallel, thus improving system throughput. We discuss LUTS design and propose a dynamic conflict-avoidance heuristic built around its scheduling capabilities. Experimental results, conducted with the STAMP and STMBench7 benchmark suites, running on TinySTM and SwissTM, show how our conflict-avoidance heuristic can effectively improve STM performance on high contention applications. © 2012 Springer Science+Business Media, LLC.

Structural change and productivity growth 20 years later: old problems, new opportunities. Summary

Includes bibliography

Experiencing Manipulative Material for the Teaching and Learning of Mathematics

This paper presents some outcomes from research based on classroom experiences. The main themes are the use of mirrors, kaleidoscopes, dynamic geometry software, and manipulative material considering their possibilities for the teaching and learning of Euclidean and non-Euclidean geometries.