993 resultados para Restructuring process
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Includes bibliography
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This paper examines a process of major organizational restructuring in an Australian hospital within a context of decentralization of health services and relocation of clients, brought about by changes in government policy. The change process differed from the abrupt downsizing often found in the private sector in that the organization initiated significant job losses concomitantly with the development of new facilities around the State, while attempting to deal with employee issues related to downsizing. The paper focuses on the process involved in the downsizing, from the perspective of both the "survivors" and "victims" of the change. It draws on interviews and focus groups with managers, union officials and employees, as well a survey of employees to assess the outcomes and effectiveness of the restructuring process. Using a stakeholder analysis framework, the paper examines the complex issues and perspectives raised by the downsizing process.
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The project covered the main issues of privatisation, corporate governance and company restructuring after privatisation in Hungary and in the Russian Republic, together with a summary of the broader picture of company-level changes in Central and Eastern Europe, discussing the issues of micro-financial restructuring in the Czech Republic, Hungary, Poland and Slovakia. The two countries selected as the focus of research can be regarded as the two most widely differing cases of the economic transformation in Central and Eastern Europe. Hungary began its transition very early in 1989, while Russia was very late in doing so. Hungary first implemented a series of institutional and systemic reforms before stabilising its public finances, while Russia has struggled with financial stabilisation for years without great success. Company restructuring and the introduction of new forms of governance only began in Russia in the mid-1990s. Hungary opted for "traditional" western methods of privatisation and invited a large amount of foreign direct investment (FDI) while in Russia the bulk of state-owned property was privatised either by free distribution or by a strange blend of ESOP-MBO schemes. FDI in Russia remained modest because of the high risk and uncertainty surrounding economic transactions there. Hungary was a forerunner in privatising public utilities, while Russia has moved cautiously in this area. The group's studies show that the Hungarian economy is now over the "transformation recession" and its economic success is largely due to its successful privatisation and to the dominant participation of foreign investors in company take-overs and in the restructuring process. The study of Russia provides a comprehensive account of the main factors in the so-far modest results in Russian privatisation and economic transformation.
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The banking sector underwent drastic reform in post-crisis Indonesia. Bank restructuring, driven by IMF conditionalities, resulted in the exit of insolvent banks and ownership changes of major private banks. Through recapitalization and sales of government-held shares, foreign-owned banks emerged as leading actors in the place of business-group-affiliated banks. As part of the restructuring process, an exit rule was created. The central bank, which up to that time had been given only partial authority under the jurisdiction of the Minister of Finance, now gained a full range of authority over banks. The central bank's supervision system on banks, risk management systems at individual banks, and their efforts to build risk management capacities, began to function. This is totally different from the old financial institution under the Soeharto regime, where banks had no incentive to control risks, as the regime tacitly ensured their survival.
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The reduction of Greek sovereign debt by €106 billion, agreed in the second bailout package of February 2012, is the largest in history. Nevertheless, immediately after publishing the key terms of the package, doubts arose whether it would achieve its goals: to reduce the debt-to-GDP ratio to 120.5% in 2020 and to ensure the return of Greece to market financing by 2015. This Briefing gives a timely input to the debate as it develops an analytical framework through which the expected failure of the Greek debt reduction can be assessed. It surveys the economic literature to identify three groups of factors reducing the effectiveness of sovereign debt restructuring: (1) sovereign’s fundamentals, (2) inefficiencies inherent in the restructuring process and (3) costs of restructuring; and applies them to the case of Greece. Based on this analysis, three policy implications are formulated, with relevance to Greece and the wider eurozone. Firstly, the importance of increased policy effort by Greece to enact current structural and growth-enhancing reforms is underlined. Secondly, the introduction of uniform CACs is proposed that will reduce the market participants’ uncertainty, discipline the runs on government debt and address the holdout inefficiency. Finally, sovereign debt restructuring is not recommended as a universal solution for over- indebtedness in the EU, given the direct and reputation costs of sovereign debt restructuring and the self-fulfilling nature of sovereign debt crises.
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Although developmental increases in the size of the position effect within a mispronunciation detection task have been interpreted as consistent with a view of the lexical restructuring process as protracted, the position effect itself might not be reliable. The current research examined the effects of position and clarity of acoustic-phonetic information on sensitivity to mispronounced onsets in 5- and 6-year-olds and adults. Both children and adults showed a position effect only when mispronunciations also differed in the amount of relevant acoustic-phonetic information. Adults' sensitivity to mispronounced second-syllable onsets also reflected the availability of acoustic-phonetic information. The implications of these findings are discussed in relation to the lexical restructuring hypothesis. (c) 2006 Elsevier Inc. All rights reserved.
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Electricity markets are complex environments, involving numerous entities trying to obtain the best advantages and profits while limited by power-network characteristics and constraints.1 The restructuring and consequent deregulation of electricity markets introduced a new economic dimension to the power industry. Some observers have criticized the restructuring process, however, because it has failed to improve market efficiency and has complicated the assurance of reliability and fairness of operations. To study and understand this type of market, we developed the Multiagent Simulator of Competitive Electricity Markets (MASCEM) platform based on multiagent simulation. The MASCEM multiagent model includes players with strategies for bid definition, acting in forward, day-ahead, and balancing markets and considering both simple and complex bids. Our goal with MASCEM was to simulate as many market models and player types as possible. This approach makes MASCEM both a short- and mediumterm simulation as well as a tool to support long-term decisions, such as those taken by regulators. This article proposes a new methodology integrated in MASCEM for bid definition in electricity markets. This methodology uses reinforcement learning algorithms to let players perceive changes in the environment, thus helping them react to the dynamic environment and adapt their bids accordingly.
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Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia.
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In this paper we will analyse the usage of FTA to support decision-making in employment policy relate to specific occupational groups. The examples can be better understood if one focus on the nanotechnology and its implications on some sectors (clothing, bio-medical engineering, micro-electronics). When this is done will be clear which occupations will engage a restructuring process (engineers, specialised technicians, qualified machine operators, quality controllers) and what policies are being designed to cope with it. This means toward which extend social partners have driven specific policies on these issues (focused in their sectors).
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In the last years the electricity industry has faced a restructuring process. Among the aims of this process was the increase in competition, especially in the generation activity where firms would have an incentive to become more efficient. However, the competitive behavior of generating firms might jeopardize the expected benefits of the electricity industry liberalization. The present paper proposes a conjectural variations model to study the competitive behavior of generating firms acting in liberalized electricity markets. The model computes a parameter that represents the degree of competition of each generating firm in each trading period. In this regard, the proposed model provides a powerful methodology for regulatory and competition authorities to monitor the competitive behavior of generating firms. As an application of the model, a study of the day-ahead Iberian electricity market (MIBEL) was conducted to analyze the impact of the integration of the Portuguese and Spanish electricity markets on the behavior of generating firms taking into account the hourly results of the months of June and July of 2007. The advantages of the proposed methodology over other methodologies used to address market power, namely Residual Supply index and Lerner index are highlighted. (C) 2014 Elsevier Ltd. All rights reserved.
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The study of electricity markets operation has been gaining an increasing importance in the last years, as result of the new challenges that the restructuring process produced. Currently, lots of information concerning electricity markets is available, as market operators provide, after a period of confidentiality, data regarding market proposals and transactions. These data can be used as source of knowledge to define realistic scenarios, which are essential for understanding and forecast electricity markets behavior. The development of tools able to extract, transform, store and dynamically update data, is of great importance to go a step further into the comprehension of electricity markets and of the behaviour of the involved entities. In this paper an adaptable tool capable of downloading, parsing and storing data from market operators’ websites is presented, assuring constant updating and reliability of the stored data.
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The energy sector in industrialized countries has been restructured in the last years, with the purpose of decreasing electricity prices through the increase in competition, and facilitating the integration of distributed energy resources. However, the restructuring process increased the complexity in market players' interactions and generated emerging problems and new issues to be addressed. In order to provide players with competitive advantage in the market, decision support tools that facilitate the study and understanding of these markets become extremely useful. In this context arises MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), a multi-agent based simulator that models real electricity markets. To reinforce MASCEM with the capability of recreating the electricity markets reality in the fullest possible extent, it is crucial to make it able to simulate as many market models and player types as possible. This paper presents a new negotiation model implemented in MASCEM based on the negotiation model used in day-ahead market (Elspot) of Nord Pool. This is a key module to study competitive electricity markets, as it presents well defined and distinct characteristics from the already implemented markets, and it is a reference electricity market in Europe (the one with the larger amount of traded power).
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Contextualization is critical in every decision making process. Adequate responses to problems depend not only on the variables with direct influence on the outcomes, but also on a correct contextualization of the problem regarding the surrounding environment. Electricity markets are dynamic environments with increasing complexity, potentiated by the last decades' restructuring process. Dealing with the growing complexity and competitiveness in this sector brought the need for using decision support tools. A solid example is MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), whose players' decisions are supported by another multiagent system – ALBidS (Adaptive Learning strategic Bidding System). ALBidS uses artificial intelligence techniques to endow market players with adaptive learning capabilities that allow them to achieve the best possible results in market negotiations. This paper studies the influence of context awareness in the decision making process of agents acting in electricity markets. A context analysis mechanism is proposed, considering important characteristics of each negotiation period, so that negotiating agents can adapt their acting strategies to different contexts. The main conclusion is that context-dependant responses improve the decision making process. Suiting actions to different contexts allows adapting the behaviour of negotiating entities to different circumstances, resulting in profitable outcomes.
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Equity research report
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Relatório de estágio de mestrado em História