30 resultados para Figshare business model


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Este estudo exploratório teve como objetivo investigar os principais mecanismos de gestão utilizados no planejamento na indústria cinematográfica. Para tanto, foi realizado um estudo de casos múltiplos, envolvendo quatro produtoras cinematográficas, das quais três estão localizadas no estado do Rio de Janeiro e uma em São Paulo. Os dados foram obtidos a partir de entrevistas focalizadas com profissionais dessas quatro empresas. Os casos foram analisados sob à luz de teorias sobre planejamento e controle em ambientes incertos e nas indústrias culturais. Os resultados indicam que o orçamento e controle dos filmes é feito de forma rigorosa. Todas as produtoras efetuam revisões orçamentárias durante a produção dos filmes. A maior incerteza relatada por todas as empresas foi a estimativa da receita e para isso, duas produtoras indicaram o uso de cenários para auxiliá-los nesta tarefa. Além disso, duas produtoras relataram a elaboração de carteiras de projetos a fim de reduzir o risco das produções. Por fim, um caso especificamente trouxe um elemento novo em relação aos demais casos ao incluir sócio em busca de investimento de risco na composição acionária do filme. Este modelo de negócio acarretou orçamentos em patamares menores do que nos demais casos.

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A economia compartilhada teve origem na década de 1990 nos Estados Unidos impulsionada pelos avanços tecnológicos que propiciaram a redução dos custos das transações on-line peer-to-peer (SHIRKY, 2008), viabilizando a criação de novos modelos de negócio baseados na troca e no compartilhamento de bens e serviços entre pessoas desconhecidas (SCHOR, 2015). A economia compartilhada é constituída por práticas comerciais que possibilitam o acesso a bens e serviços, sem que haja, necessariamente, a aquisição de um produto ou troca monetária (BOTSMAN; ROGERS, 2011). Atualmente, a economia compartilhada está tomando forma no Brasil, por meio da expansão de modelos de negócio que visam ao compartilhamento, à troca e à revenda de produtos e serviços. Assim, objetivando expandir o conhecimento sobre este fenômeno econômico, realizou-se um estudo de caso múltiplo em quatro empresas representantes dessa economia, com o objetivo de conhecer os seus modelos de negócio, enfatizando uma abordagem holística para compreender como essas organizações realizam seus negócios (ZOTT; AMIT; MASSA, 2011). Como resultado deste estudo, constata-se que a economia compartilhada abrange uma extensa gama de modelos de negócio (SCHOR, 2014), dentre os quatro casos estudados foram observados três modelos de negócio distintos. Ademais, por meio dos casos estudados, evidencia-se que as empresas da economia compartilhada tendem a desenvolver sinergias com empresas da economia tradicional para garantir sua sustentabilidade, visto que, das quatro empresas estudadas, três já estão desenvolvendo transações business-to-business com parceiros da economia tradicional, constatando-se assim o surgimento de uma economia híbrida constituída pelo mercado capitalista e pelas iniciativas de compartilhamento (RIFKIN, 2014). Todavia, verifica-se que a aproximação com empresas tradicionais não significa o abandono da essência de compartilhamento e sustentabilidade socioambiental, inerentes às propostas de valor das atividades da economia compartilhada.

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As stated by Hoffmann and Coste-Manière (2012) “The web is a mass medium that contrast completely with the traditional codes of exclusivity associated with the luxury industry, and has long been simply rejected by the luxury industry for being an illegitimate distribution channel.” Meanwhile this market presents an incomparable pace of growth and is gradually changing the existing retailing business model and companies must be aware of this change and capable to adapt to it. The internet and cross-border sales already changed the competition throughout retailing and it will increase even more, so companies must be ready to face it. Internet has shown its great opportunity for all markets, although luxury/premium market is not yet taking the proper advantage of its potential, but the necessity to be an omnichannel business strategy is growing. This paper presents an exploratory research based on a case study of how premium fashion Brazilian brands are using Farfetch, e-commerce, as an entry market strategy and how this affects them. The research question of this study is: How is Farfetch helping on the internationalization of Brazilian premium fashion brands?, and in order to answer it was conducted an in-depth interview with the Brazilian head of business development of Farfetch, apart an extensive secondary data research. As expected the study found a list of trade-offs of using an e-commerce, luxury specialized, with a marketplace approach to the brands willing to internationalize. As stated by Altagamma and McKinsey (2015) study “[...] luxury brands have no choice but to embrace the digital era and become truly omnichannel. This will require them a radical rethinking of both their customer experience of their consumer engagement strategy.” Looking either from the Farfetch point of view, trying to understand why they offer this opportunity to the brands, or also from the brand side if this is a manageable approach. This study presents a contribution for both sides, trying to give tools to the brands on understanding the internationalization reasons and approach, as well as explaining Farfetch business model, and the advantages it can bring to them, at the same time of a general market trend analysis for Farfecth.

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The term “social entrepreneurship” has been attracting growing interest from different sectors in the past years, driven by the possibility of employing business techniques to tackle recurrent social and environmental issues. At the forefront of this global phenomenon is microcredit, seen by many as an effective anti-poverty tool and having the Grameen Bank as its flagship program. While the prospects of social entrepreneurship seem promising, the newness of the concept and its somewhat confusing definition make conditions difficult to analyze this contemporary phenomenon. Therefore, the objective of this study was to discuss the challenges faced by social entrepreneurs and alternatives of development for social businesses through a case study on a Brazilian microcredit institution and inclusive business, Banco Pérola. The case addresses a growing need for case studies designed for teaching in the field of social entrepreneurship. It was focused mainly on understanding the development challenges within Banco Pérola, and built based on interviews carried out with top management, credit officer and clients of the institution, as well as on secondary data collected. An analysis of the case study was performed under a Teaching Notes. As illustrated by the Banco Pérola case, the main difficulties encountered by social entrepreneurs relate to the systematization of processes and creation of operational routines, including for performance evaluation (impact assessment tools); to the capture and management of both financial and human capital; to scaling up the business model and to the need of forging closer and more personal relationships with customers as against in traditional banking practices. In spite of certain limitations, such as the fact that the case might soon become outdated due to the fast-changing environment surrounding Banco Pérola, or the fact that not all relevant stakeholders (e.g. partners) were selected for interviews, the research objective has been achieved and the study can be seen as a contribution to spreading the concept of social entrepreneurship.

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The present work analyzes the establishment of a startup’s operations and the structuring all of the processes required to start up the business, launch the platform and keep it working. The thesis’ main focus can therefore be described as designing and structuring a startup’s operations in an emerging market before and during its global launch. Such business project aims to provide a successful case regarding the creation of a business and its launch into an emerging market, by illustrating a practical example on how to structure the business’ operations within a limited time frame. Moreover, this work will also perform a complete economic analysis of Brazil, thorough analyses of the industries the company is related to, as well as a competitive analysis of the market the venture operates in. Furthermore, an assessment of the venture’s business model and of its first six-month performance will also be included. The thesis’ ultimate goal lies in evaluating the company’s potential of success in the next few years, by highlighting its strengths and criticalities. On top of providing the company’s management with brilliant findings and forecasts about its own business, the present work will represent a reference and a practical roadmap for any entrepreneur willing to establish his operations in Brazil.

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Este estudo pretende identificar as mudanças relevantes no mercado e qual o valor percebido pelos clientes e taxistas, considerando-se a inserção das empresas prestadoras de serviços de táxis da cidade de São Paulo no mundo virtual, através do uso de aplicativos. Para tanto, explanamos o conceito de cadeia de valor, incluindo cadeia de valor virtual e rede de valor, a fim de um melhor entendimento da estrutura em que se embasam as empresas desse novo ambiente, bem como explicamos os conceitos de modelo de negócio e Business Model Canvas. Com esse embasamento teórico propomos um framework com a finalidade de auxiliar o processo de extração e análise das informações que permitiram identificar as mudanças relevantes que ocorreram nesse mercado e o valor percebido pelos clientes e taxistas, fazendo uso de um estudo de caso. O tema é relevante, por se tratar de uma mudança significativa na forma como as empresas se relacionam com seus clientes e prestadores; e por permitir observar que valor agregado esse modelo tem propiciado, que fez com que cerca de 30 mil taxistas, dos 35 mil da cidade de São Paulo, optassem pelo uso de aplicativos, fazendo com que uma das empresas estudadas nessa dissertação atingisse mais de 2.5 milhões de downloads em todo o Brasil. Espera-se, com este estudo, identificar as mudanças relevantes que a inserção dos aplicativos trouxeram aos usuários e taxistas e apresentar um framework que pode ser utilizado como um facilitador na análise da cadeia de valor e cadeia de valor virtual do mercado de prestação de serviços de taxis, esclarecendo que esse modelo não é apenas um modismo ao qual se pode atribuir uma série de benefícios, mas, sim, uma tendência que está redefinindo o formato das empresas desse mercado.

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A intenção deste trabalho é explorar dinâmicas de competição por meio de “simulação baseada em agentes”. Apoiando-se em um crescente número de estudos no campo da estratégia e teoria das organizações que utilizam métodos de simulação, desenvolveu-se um modelo computacional para simular situações de competição entre empresas e observar a eficiência relativa dos métodos de busca de melhoria de desempenho teorizados. O estudo também explora possíveis explicações para a persistência de desempenho superior ou inferior das empresas, associados às condições de vantagem ou desvantagem competitiva

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The thesis introduces a system dynamics Taylor rule model of new Keynesian nature for monetary policy feedback in Brazil. The nonlinear Taylor rule for interest rate changes con-siders gaps and dynamics of GDP growth and inflation. The model closely tracks the 2004 to 2011 business cycle and outlines the endogenous feedback between the real interest rate, GDP growth and inflation. The model identifies a high degree of endogenous feedback for monetary policy and inflation, while GDP growth remains highly exposed to exogenous eco-nomic conditions. The results also show that the majority of the monetary policy moves during the sample period was related to GDP growth, despite higher coefficients of inflation parameters in the Taylor rule. This observation challenges the intuition that inflation target-ing leads to a dominance of monetary policy moves with respect to inflation. Furthermore, the results suggest that backward looking price-setting with respect to GDP growth has been the dominant driver of inflation. Moreover, simulation exercises highlight the effects of the new BCB strategy initiated in August 2011 and also consider recession and inflation avoid-ance versions of the Taylor rule. In methodological terms, the Taylor rule model highlights the advantages of system dynamics with respect to nonlinear policies and to the stock-and-flow approach. In total, the strong historical fit and some counterintuitive observations of the Taylor rule model call for an application of the model to other economies.

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Lucas (1987) has shown a surprising result in business-cycle research: the welfare cost of business cycles are very small. Our paper has several original contributions. First, in computing welfare costs, we propose a novel setup that separates the effects of uncertainty stemming from business-cycle fluctuations and economic-growth variation. Second, we extend the sample from which to compute the moments of consumption: the whole of the literature chose primarily to work with post-WWII data. For this period, actual consumption is already a result of counter-cyclical policies, and is potentially smoother than what it otherwise have been in their absence. So, we employ also pre-WWII data. Third, we take an econometric approach and compute explicitly the asymptotic standard deviation of welfare costs using the Delta Method. Estimates of welfare costs show major differences for the pre-WWII and the post-WWII era. They can reach up to 15 times for reasonable parameter values -β=0.985, and ∅=5. For example, in the pre-WWII period (1901-1941), welfare cost estimates are 0.31% of consumption if we consider only permanent shocks and 0.61% of consumption if we consider only transitory shocks. In comparison, the post-WWII era is much quieter: welfare costs of economic growth are 0.11% and welfare costs of business cycles are 0.037% - the latter being very close to the estimate in Lucas (0.040%). Estimates of marginal welfare costs are roughly twice the size of the total welfare costs. For the pre-WWII era, marginal welfare costs of economic-growth and business- cycle fluctuations are respectively 0.63% and 1.17% of per-capita consumption. The same figures for the post-WWII era are, respectively, 0.21% and 0.07% of per-capita consumption.

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Lucas(1987) has shown a surprising result in business-cycle research: the welfare cost of business cycles are very small. Our paper has several original contributions. First, in computing welfare costs, we propose a novel setup that separates the effects of uncertainty stemming from business-cycle uctuations and economic-growth variation. Second, we extend the sample from which to compute the moments of consumption: the whole of the literature chose primarily to work with post-WWII data. For this period, actual consumption is already a result of counter-cyclical policies, and is potentially smoother than what it otherwise have been in their absence. So, we employ also pre-WWII data. Third, we take an econometric approach and compute explicitly the asymptotic standard deviation of welfare costs using the Delta Method. Estimates of welfare costs show major diferences for the pre-WWII and the post-WWII era. They can reach up to 15 times for reasonable parameter values = 0:985, and = 5. For example, in the pre-WWII period (1901-1941), welfare cost estimates are 0.31% of consumption if we consider only permanent shocks and 0.61% of consumption if we consider only transitory shocks. In comparison, the post-WWII era is much quieter: welfare costs of economic growth are 0.11% and welfare costs of business cycles are 0.037% the latter being very close to the estimate in Lucas (0.040%). Estimates of marginal welfare costs are roughly twice the size of the total welfare costs. For the pre-WWII era, marginal welfare costs of economic-growth and business-cycle uctuations are respectively 0.63% and 1.17% of per-capita consumption. The same gures for the post-WWII era are, respectively, 0.21% and 0.07% of per-capita consumption.

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We investigate the eff ect of aggregate uncertainty shocks on real variables. More speci fically, we introduce a shock in the volatility of productivity in an RBC model with long-run volatility risk and preferences that exhibit generalised disappointment aversion. We find that, when combined with a negative productivity shock, a volatility shock leads to further decline in real variables, such as output, consumption, hours worked and investment. For instance, out of the 2% decrease in output as a result of both shocks, we attribute 0.25% to the e ffect of an increase in volatility. We also fi nd that this e ffect is the same as the one obtained in a model with Epstein-Zin- Weil preferences, but higher than that of a model with expected utility. Moreover, GDA preferences yield superior asset pricing results, when compared to both Epstein-Zin-Weil preferences and expected utility.

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The main objective of this paper is to propose a novel setup that allows estimating separately the welfare costs of the uncertainty stemming from business-cycle uctuations and from economic-growth variation, when the two types of shocks associated with them (respectively,transitory and permanent shocks) hit consumption simultaneously. Separating these welfare costs requires dealing with degenerate bivariate distributions. Levis Continuity Theorem and the Disintegration Theorem allow us to adequately de ne the one-dimensional limiting marginal distributions. Under Normality, we show that the parameters of the original marginal distributions are not afected, providing the means for calculating separately the welfare costs of business-cycle uctuations and of economic-growth variation. Our empirical results show that, if we consider only transitory shocks, the welfare cost of business cycles is much smaller than previously thought. Indeed, we found it to be negative - -0:03% of per-capita consumption! On the other hand, we found that the welfare cost of economic-growth variation is relatively large. Our estimate for reasonable preference-parameter values shows that it is 0:71% of consumption US$ 208:98 per person, per year.

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This paper constructs an indicator of Brazilian GDP at the monthly ftequency. The peculiar instability and abrupt changes of regimes in the dynamic behavior of the Brazilian business cycle were explicitly modeled within nonlinear ftameworks. In particular, a Markov switching dynarnic factor model was used to combine several macroeconomic variables that display simultaneous comovements with aggregate economic activity. The model generates as output a monthly indicator of the Brazilian GDP and real time probabilities of the current phase of the Brazilian business cycle. The monthly indicator shows a remarkable historical conformity with cyclical movements of GDP. In addition, the estimated filtered probabilities predict ali recessions in sample and out-of-sample. The ability of the indicator in linear forecasting growth rates of GDP is also examined. The estimated indicator displays a better in-sample and out-of-sample predictive performance in forecasting growth rates of real GDP, compared to a linear autoregressive model for GDP. These results suggest that the estimated monthly indicator can be used to forecast GDP and to monitor the state of the Brazilian economy in real time.

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This paper documents the empirical relation between the interest rates that emerging economies face in international capital markets and their business cycles. It shows that the patterns observed in the data can be interpreted as the equilibrium of a dynamic general equilibrium model of a small open economy, in which (i) firms have to pay for a fraction of the input bill before production takes place, and (ii) preferences generate a labor supply that is independent of the interest rate. In our sample, interest rates are strongly countercyclical, strongly positively correlated with net exports, and they lead the cycle. Output is very volatile and consumption is more volatile than output. The sample includes data for Argentina during 1983-2000 and for four other large emerging economies, Brazil, Mexico, Korea, and Philippines, during 1994-2000. The model is calibrated to Argentina’s economy for the period 1983-1999. When the model is fed with actual US interest rates and the actual default spreads of Argentine sovereign interest rates, interest rates alone can explain forty percent of output fluctuations. When simulated technology shocks are added to the model, it can account for the main empirical regularities of Argentina’s economy during the period. A 1% increase in country risk causes a contemporaneous fall in output of 0.5 ’subsequent recovery. An increase in US rates causes output to fall by the same on impact and by almost 2% two years after the shock. The asymetry in the effect of shocks to US rates and country risk is due to the fact that US interest rates are more persistent than country risk and that there is a significant spillover effect from US interest rates to country risk.

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This article presents the application of a diagnosis method in a Brazilian company from the sugar and ethanol industry to identify the level of supply chain integration. The diagnosis method is based on Cooper, Lambert and Pagh reference model for SCM. The method involves nine referential axes established from the eighth key business processes of the reference model.