Construção de base organizacional e suas implicações para performance corporativa: evidências da área abastecimento do Petróleo brasileiro S.A.

Esta dissertação examina algumas implicações do processo de implementação de estratégias para a performance corporativa. Este relacionamento é examinado na Área de negócios Abastecimento, da empresa Petróleo Brasileiro S.A, durante o período de 1996 e 2003. A despeito da profusão de estudos sobre estratégia empresarial, ainda há escassez de trabalhos que examinem o processo de implementação de mudanças organizacionais e suas implicações para o aprimoramento de certos indicadores de performance corporativa. Adicionalmente, tendem a prevalecer na literatura gerencial, abordagens pontuais de caráter imediatista e prescritivo, que não captam o processo de mudança organizacional e suas implicações para performance ao longo do tempo. o exame da implementação de estratégias é realizado com base em seis variáveis organizacionais extraídas da literatura existente: "comportamento da liderança"; "interação e influência"; "inovação e aprendizado"; "gestão de pessoas"; "comunicação e fluxos de conhecimento" e "estrutura organizacional". As implicações das mudanças na base organizacional para performance corporativa são examinadas a partir de dezenove indicadores, agrupados em três categorias: (i) operacionais, (ii) econômico-financeiro e (iii) segurança, meio ambiente e saúde. Esta dissertação consiste num estudo de caso individual, o qual é baseado em evidências empíricas qualitativas e quantitativas, coletadas em trabalhos de campo. A coleta dos dados baseou-se em fontes e técnicas múltiplas. Os efeitos das variáveis organizacionais que comporiam o Abastecimento, antes da criação da Área de negócio, em 1996, foram pequenos. Esses efeitos foram moderados no período entre 1996 a 2000, só apresentando impactos relevantes sobre indicadores operacionais entre 2000 e 2003, com reflexos positivos sobre o desempenho econômico, pois muitos custos foram reduzidos. Isso sugere que estratégias tecnológicas de longo prazo são um rumo robusto e consistente. As evidências sugerem que a empresa optou pela construção de uma base organizacional visando melhoria de performance no longo prazo, alinhando-se com autores que defendem essa construção como forma de fortalecer a competitividade no longo prazo. Esta dissertação contribui para o entendimento de fatores organizacionais que favorecem a implementação de estratégias e dos mecanismos que alavancam aprendizado e inovação numa empresa nacional. Este estudo conclui que a utilização de estruturas organizacionais, com o suporte da liderança e prática de baixas barreiras interfuncionais, alavancaram o aprendizado e a inovação, favorecendo resultados econômicos. Isto contradiz a proposição de autores que afirmam que reestruturação organizacional possui baixo potencial de geração de resultados, ou que enfatizam soluções de curto prazo para obtenção imediata de resultados, em detrimento da competitividade da empresa nos médio e longo prazos.

Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons

The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual horizons. The data to be used consists of metal-commodity prices in a monthly frequency from 1957 to 2012 from the International Financial Statistics of the IMF on individual metal series. We will also employ the (relatively large) list of co-variates used in Welch and Goyal (2008) and in Hong and Yogo (2009) , which are available for download. Regarding short- and long-run comovement, we will apply the techniques and the tests proposed in the common-feature literature to build parsimonious VARs, which possibly entail quasi-structural relationships between different commodity prices and/or between a given commodity price and its potential demand determinants. These parsimonious VARs will be later used as forecasting models to be combined to yield metal-commodity prices optimal forecasts. Regarding out-of-sample forecasts, we will use a variety of models (linear and non-linear, single equation and multivariate) and a variety of co-variates to forecast the returns and prices of metal commodities. With the forecasts of a large number of models (N large) and a large number of time periods (T large), we will apply the techniques put forth by the common-feature literature on forecast combinations. The main contribution of this paper is to understand the short-run dynamics of metal prices. We show theoretically that there must be a positive correlation between metal-price variation and industrial-production variation if metal supply is held fixed in the short run when demand is optimally chosen taking into account optimal production for the industrial sector. This is simply a consequence of the derived-demand model for cost-minimizing firms. Our empirical evidence fully supports this theoretical result, with overwhelming evidence that cycles in metal prices are synchronized with those in industrial production. This evidence is stronger regarding the global economy but holds as well for the U.S. economy to a lesser degree. Regarding forecasting, we show that models incorporating (short-run) commoncycle restrictions perform better than unrestricted models, with an important role for industrial production as a predictor for metal-price variation. Still, in most cases, forecast combination techniques outperform individual models.

Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons

The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual frequencies. Data consists of metal-commodity prices at a monthly and quarterly frequencies from 1957 to 2012, extracted from the IFS, and annual data, provided from 1900-2010 by the U.S. Geological Survey (USGS). We also employ the (relatively large) list of co-variates used in Welch and Goyal (2008) and in Hong and Yogo (2009). We investigate short- and long-run comovement by applying the techniques and the tests proposed in the common-feature literature. One of the main contributions of this paper is to understand the short-run dynamics of metal prices. We show theoretically that there must be a positive correlation between metal-price variation and industrial-production variation if metal supply is held fixed in the short run when demand is optimally chosen taking into account optimal production for the industrial sector. This is simply a consequence of the derived-demand model for cost-minimizing firms. Our empirical evidence fully supports this theoretical result, with overwhelming evidence that cycles in metal prices are synchronized with those in industrial production. This evidence is stronger regarding the global economy but holds as well for the U.S. economy to a lesser degree. Regarding out-of-sample forecasts, our main contribution is to show the benefits of forecast-combination techniques, which outperform individual-model forecasts - including the random-walk model. We use a variety of models (linear and non-linear, single equation and multivariate) and a variety of co-variates and functional forms to forecast the returns and prices of metal commodities. Using a large number of models (N large) and a large number of time periods (T large), we apply the techniques put forth by the common-feature literature on forecast combinations. Empirically, we show that models incorporating (short-run) common-cycle restrictions perform better than unrestricted models, with an important role for industrial production as a predictor for metal-price variation.

Co-creation in hospitality industry: a case study on the drivers of traveler-generated content

User-generated content in travel industry is the phenomenon studied in this research, which aims to fill the literature gap on the drivers to write reviews on TripAdvisor. The object of study is relevant from a managerial standpoint since the motivators that drive users to co-create can shape strategies and be turned into external leverages that generate value for brands through content production. From an academic perspective, the goal is to enhance literature on the field, and fill a gap on adherence of local culture to UGC given industry structure specificities. The business’ impact of UGC is supported by the fact that it increases e-commerce conversion rates since research undertaken by Ye, Law, Gu and Chen (2009) states each 10% in traveler review ratings boosts online booking in more than 5%. The literature review builds a theoretical framework on required concepts to support the TripAdvisor case study methodology. Quantitative and qualitative data compound the methodological approach through literature review, desk research, executive interview, and user survey which are analyzed under factor and cluster analysis to group users with similar drivers towards UGC. Additionally, cultural and country-specific aspects impact user behavior. Since hospitality industry in Brazil is concentrated on long tail – 92% of hotels in Brazil are independent ones (Jones Lang LaSalle, 2015, p. 7) – and lesser known hotels take better advantage of reviews – according to Luca (2011) each one Yelp-star increase in rating, increases in 9% independent restaurant revenue whereas in chain restaurants the reviews have no effect – , this dissertation sought to understand UGC in the context of travelers from São Paulo (Brazil) and adopted the case of TripAdvisor to describe what are the incentives that drives user’s co-creation among targeted travelers. It has an outcome of 4 different clusters with different drivers for UGC that enables to design marketing strategies, and it also concludes there’s a big potential to convert current content consumers into producers, the remaining importance of friends and family referrals and the role played by incentives. Among the conclusions, this study lead us to an exploration of positive feedback and network effect concepts, a reinforcement of the UGC relevance for long tail hotels, the interdependence across content production, consumption and participation; and the role played by technology allied with behavioral analysis to take effective decisions. The adherence of UGC to hospitality industry, also outlines the formulation of the concept present in the dissertation title of “Traveler-Generated Content”.

Brazil’s 2014 presidential elections: the interconnection between election news and stock market behavior

This study researches whether there has been abnormal stock market behaviour in Brazil as a consequence of election news (observed via opinion polls), regarding the last Brazilian presidential election, held in October 2014. Via applying event study methodology, the research on the Ibovespa and Petrobras suggests that events in which Rousseff was gaining in share have been subject to negative abnormal returns, and events where Rousseff was loosing in share have led to positive abnormal returns. Moreover, volatility has been significantly elevated during the election period and volume has been found to have slightly increased.