18 resultados para Competitive Strategy

em Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco


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Una versión preliminar de este caso fue presentada como ponencia en el «Second European Conference on Management of Technology» (EUROMOT), celebrado en septiembre de 2006 en Birmingham.

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[ES]El objeto del presente trabajo es analizar las estrategias competitivas que utilizan las empresas del sector de las agencias de viajes en el País Vasco. La decisión de estudiar las estrategias competitivas se tomó por la gran importancia que están adquiriendo las decisiones estratégicas en un mercado cada vez más competitivo. Para ello, he seleccionado dos empresas cuya sede principal está implantada en el País Vasco. Como bien he mencionado, ambas son del sector de las agencias de viajes, pero la diferencia principal que encontramos entre ambas es su expansión y tamaño. Para situarnos en el objeto de estudio, comenzaremos viendo la evolución histórica de la formulación e implantación de las estrategias por parte de la dirección de empresa. Posteriormente se seguirá con el análisis de los distintos niveles de estrategias, para continuar con el estudio más en profundidad de las estrategias competitivas según el modelo de Porter. Previo al estudio de las empresas seleccionadas se realizará un análisis sectorial y su situación en el País Vasco. Como el objeto de estudio se trata de las estrategias competitivas, en primer lugar he comenzado con una fundamentación teórica del objeto de estudio, es decir, de las estrategias competitivas. Posteriormente, en el apartado siguiente he pasado a la aplicación práctica a las dos empresas elegidas. En esta fase práctica del presente trabajo, una parte ha consistido en trabajo de campo, mediante el cual he obtenido parte de la información para poder realizar la investigación y poder llegar a la obtención de una serie de conclusiones. Las dos empresas seleccionadas son Viajes Eroski y Lorea Bidaiak. Por un lado, Viajes Eroski se trata de una empresa que abarca mayor ámbito geográfico, y por lo tanto mayor extensión. Por otro lado, la segunda empresa a analizar, es decir, Lorea Bidaiak, se trata de una empresa que solo actúa a nivel local, y por lo tanto, es de menor tamaño.

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This paper analyzes whether a minimum wage can be an optimal redistribution policy when distorting taxes and lump-sum transfers are also available in a competitive economy. We build a static general equilibrium model with a Ramsey planner making decisions on taxes, transfers, and minimum wage levels. Workers are assumed to differ only in their productivity. We find that optimal redistribution may imply the use of a minimum wage. The key factor driving our results is the reaction of the demand for low skilled labor to the minimum wage law. Hence, an optimal minimum wage appears to be most likely when low skilled households are scarce, the complementarity between the two types of workers is large or the difference in productivity is small. The main contribution of the paper is a modelling approach that allows us to adopt analysis and solution techniques widely used in recent public finance research. Moreover, this modelling strategy is flexible enough to allow for potential extensions to include dynamics into the model.

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Published as an article in: Journal of Monetary Economics, 2003, vol. 50, issue 6, pages 1311-1331.

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Contributed to: Fusion of Cultures: XXXVIII Annual Conference on Computer Applications and Quantitative Methods in Archaeology – CAA2010 (Granada, Spain, Apr 6-9, 2010)

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[ES] En el entorno actual, la obtención de innovaciones en la gestión, en el producto y en el proceso, resulta una herramienta competitiva fundamental para las empresas. Éstas, para garantizarse fuentes de innovación, deben recurrir a mecanismos de captación y generación de conocimiento. Un mecanismo fundamental a este respecto es la captación de conocimientos del exterior, en especial los de tipo científico y tecnológico.

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[ES] El sector de la construcción tiene, en España, una notable importancia, por su aportación al PIB (del entorno del 10%) y al empleo (en torno al 10%) y porque aglutina un amplio tejido empresarial. El deterioro de la situación económica y la saturación del mercado residencial han llevado a una fuerte contracción de la actividad constructiva, después una larga época de crecimiento.

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[EN] The increasing interest in eco-innovation or environmental innovation as a strategy not only to address the serious global environmental problems but also as a source of competitive advantages for companies and for the emergence of new business areas, leads us to try to identify the different factors that act as determinants of its development and adoption at the micro level.

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We consider a job contest in which candidates go through interviews (cheap talk) and are subject to reference checks. We show how competitive pressure - increasing the ratio of "good" to "bad" type candi- dates - can lead to a vast increase in lying and in some cases make bad hires more likely. As the number of candidates increases, it becomes harder to in- duce truth-telling. The interview stage becomes redundant if the candidates, a priori, know each others' type or the result of their own reference check. Finally, we show that the employer can bene t from committing not to reject all the applicants.

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Enhancing the handover process in broadband wireless communication deployment has traditionally motivated many research initiatives. In a high-speed railway domain, the challenge is even greater. Owing to the long distances covered, the mobile node gets involved in a compulsory sequence of handover processes. Consequently, poor performance during the execution of these handover processes significantly degrades the global end-to-end performance. This article proposes a new handover strategy for the railway domain: the RMPA handover, a Reliable Mobility Pattern Aware IEEE 802.16 handover strategy "customized" for a high-speed mobility scenario. The stringent high mobility feature is balanced with three other positive features in a high-speed context: mobility pattern awareness, different sources for location discovery techniques, and a previously known traffic data profile. To the best of the authors' knowledge, there is no IEEE 802.16 handover scheme that simultaneously covers the optimization of the handover process itself and the efficient timing of the handover process. Our strategy covers both areas of research while providing a cost-effective and standards-based solution. To schedule the handover process efficiently, the RMPA strategy makes use of a context aware handover policy; that is, a handover policy based on the mobile node mobility pattern, the time required to perform the handover, the neighboring network conditions, the data traffic profile, the received power signal, and current location and speed information of the train. Our proposal merges all these variables in a cross layer interaction in the handover policy engine. It also enhances the handover process itself by establishing the values for the set of handover configuration parameters and mechanisms of the handover process. RMPA is a cost-effective strategy because compatibility with standards-based equipment is guaranteed. The major contributions of the RMPA handover are in areas that have been left open to the handover designer's discretion. Our simulation analysis validates the RMPA handover decision rules and design choices. Our results supporting a high-demand video application in the uplink stream show a significant improvement in the end-to-end quality of service parameters, including end-to-end delay (22%) and jitter (80%), when compared with a policy based on signal-to-noise-ratio information.

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The efficiency of the wind power conversions systems can be greatly improved using an appropriate control algorithm. In this work, a sliding mode control for variable speed wind turbine that incorporates a doubly fed induction generator is described. The electrical system incorporates a wound rotor induction machine with back-to-back three phase power converter bridges between its rotor and the grid. In the presented design the so-called vector control theory is applied, in order to simplify the electrical equations. The proposed control scheme uses stator flux-oriented vector control for the rotor side converter bridge control and grid voltage vector control for the grid side converter bridge control. The stability analysis of the proposed sliding mode controller under disturbances and parameter uncertainties is provided using the Lyapunov stability theory. Finally simulated results show, on the one hand, that the proposed controller provides high-performance dynamic characteristics, and on the other hand, that this scheme is robust with respect to the uncertainties that usually appear in the real systems.

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EFTA 2009

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The learning of probability distributions from data is a ubiquitous problem in the fields of Statistics and Artificial Intelligence. During the last decades several learning algorithms have been proposed to learn probability distributions based on decomposable models due to their advantageous theoretical properties. Some of these algorithms can be used to search for a maximum likelihood decomposable model with a given maximum clique size, k, which controls the complexity of the model. Unfortunately, the problem of learning a maximum likelihood decomposable model given a maximum clique size is NP-hard for k > 2. In this work, we propose a family of algorithms which approximates this problem with a computational complexity of O(k · n^2 log n) in the worst case, where n is the number of implied random variables. The structures of the decomposable models that solve the maximum likelihood problem are called maximal k-order decomposable graphs. Our proposals, called fractal trees, construct a sequence of maximal i-order decomposable graphs, for i = 2, ..., k, in k − 1 steps. At each step, the algorithms follow a divide-and-conquer strategy based on the particular features of this type of structures. Additionally, we propose a prune-and-graft procedure which transforms a maximal k-order decomposable graph into another one, increasing its likelihood. We have implemented two particular fractal tree algorithms called parallel fractal tree and sequential fractal tree. These algorithms can be considered a natural extension of Chow and Liu’s algorithm, from k = 2 to arbitrary values of k. Both algorithms have been compared against other efficient approaches in artificial and real domains, and they have shown a competitive behavior to deal with the maximum likelihood problem. Due to their low computational complexity they are especially recommended to deal with high dimensional domains.

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This paper is a version of the discussion paper titled "Simple coalitional strategy profiles"

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The aim of this work is to analyze the main characteristics of the current financial system and to investigate the arising of critical voices with respect this system. In particular, we analyze some historical facts that have been important in the creation of this financial order. We analyze the new digital currency, known as Bitcoin, as the basic ingredient in the formation of a new alternative and decentralized international financial system. In 10 years Bitcoin has expanded its influence to many economic activities. We also analyzed briefly the classic liberal theory that criticizes the intervention of governments in the markets. Finally, we consider relevant the arising of a group of countries (BRICS) that may challenge the current system where the position of USA is privileged.