A (In)visibilidade do Conselho Geral

Este estudo teve como principal objetivo determinar as causas que levam à invisibilidade do Conselho Geral(CG). Este, conjuntamente com o Diretor, o Conselho Pedagógico e o Conselho Administrativo, constituem os órgãos de gestão e administração dos Agrupamentos de Escolas ou escolas não Agrupadas (AE/E). O CG representa o órgão de maior poder na hierarquia formalmente definida para a gestão e administração dos AE/E, pelo que devia ser conhecido por toda a comunidade escolar. Foi desenvolvido em três AE/E do concelho de Matosinhos, tendo sido inquiridos professores, alunos e assistentes operacionais/técnicos na tentativa de averiguar o (re)conhecimento do órgão em estudo e das suas competências. Foram ainda entrevistados os Diretores e os presidentes dos Conselhos Gerais de cada escola de forma aferir o tipo de relação que se estabelece entre eles. Fizeram ainda parte da nossa amostra Conselheiros, grupo privilegiado quer a nível de conhecimento das competências do Conselho Geral quer no reconhecimento do tipo de relação que se estabelece entre Diretor e Conselho Geral. Os resultados por nós obtidos mostram que o Conselho Geral é um órgão pouco conhecido da comunidade escolar. No cômputo geral, a comunidade escolar mais restrita desconhece o seu funcionamento bem como as suas competências. Face aos resultados foi por nós elaborado um Plano de Ação que visa melhorar o conhecimento que a comunidade tem relativamente ao Conselho Geral, e com ele melhorar a gestão estratégica dos AE/E.

MASCEM: electricity markets simulation with strategic agents

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.

Flexibility in a Stackelberg leadership with differentiated goods

We study the effects of product differentiation in a Stackelberg model with demand uncertainty for the first mover. We do an ex-ante and ex-post analysis of the profits of the leader and of the follower firms in terms of product differentiation and of the demand uncertainty. We show that even with small uncertainty about the demand, the follower firm can achieve greater profits than the leader, if their products are sufficiently differentiated. We also compute the probability of the second firm having higher profit than the leading firm, subsequently showing the advantages and disadvantages of being either the leader or the follower firm.

Simultaneous decisions or leadership in an international competition

In this paper, we study an international market with demand uncertainty. The model has two stages. In the first stage, the home government chooses an import tariff to maximize the revenue. Then, the firms engage in a Cournot or in a Stackelberg competition. The uncertainty is resolved between the decisions made by the home government and by the firms. We compare the results obtained in the three different ways of moving on the decision make of the firms.

Stochastic Framework for Strategic Decision-making of Load-serving Entities for Day-ahead Market

The deregulation of electricity markets has diversified the range of financial transaction modes between independent system operator (ISO), generation companies (GENCO) and load-serving entities (LSE) as the main interacting players of a day-ahead market (DAM). LSEs sell electricity to end-users and retail customers. The LSE that owns distributed generation (DG) or energy storage units can supply part of its serving loads when the nodal price of electricity rises. This opportunity stimulates them to have storage or generation facilities at the buses with higher locational marginal prices (LMP). The short-term advantage of this model is reducing the risk of financial losses for LSEs in DAMs and its long-term benefit for the LSEs and the whole system is market power mitigation by virtually increasing the price elasticity of demand. This model also enables the LSEs to manage the financial risks with a stochastic programming framework.

Strategic Bidding in Electricity Markets: An agent-based simulator with game theory for scenario analysis

Electricity markets are complex environments, involving a large number of different entities, with specific characteristics and objectives, making their decisions and interacting in a dynamic scene. Game-theory has been widely used to support decisions in competitive environments; therefore its application in electricity markets can prove to be a high potential tool. This paper proposes a new scenario analysis algorithm, which includes the application of game-theory, to evaluate and preview different scenarios and provide players with the ability to strategically react in order to exhibit the behavior that better fits their objectives. This model includes forecasts of competitor players’ actions, to build models of their behavior, in order to define the most probable expected scenarios. Once the scenarios are defined, game theory is applied to support the choice of the action to be performed. Our use of game theory is intended for supporting one specific agent and not for achieving the equilibrium in the market. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. The scenario analysis algorithm has been tested within MASCEM and our experimental findings with a case study based on real data from the Iberian Electricity Market are presented and discussed.

Metalearner based on Dynamic Neural Network for Strategic Bidding in electricity Markets

The restructuring of electricity markets, conducted to increase the competition in this sector, and decrease the electricity prices, brought with it an enormous increase in the complexity of the considered mechanisms. The electricity market became a complex and unpredictable environment, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. Software tools became, therefore, essential to provide simulation and decision support capabilities, in order to potentiate the involved players’ actions. This paper presents the development of a metalearner, applied to the decision support of electricity markets’ negotiation entities. The proposed metalearner executes a dynamic artificial neural network to create its own output, taking advantage on several learning algorithms implemented in ALBidS, an adaptive learning system that provides decision support to electricity markets’ players. The proposed metalearner considers different weights for each strategy, depending on its individual quality of performance. The results of the proposed method are studied and analyzed in scenarios based on real electricity markets’ data, using MASCEM - a multi-agent electricity market simulator that simulates market players’ operation in the market.

Flexibility and leadership advantages in a model with uncertain demand

We consider a differentiated Stackelberg model with demand uncertainty only for the first mover. We study the advantages of flexibility over leadership as the degree of the differentiation of the goods changes.

Strategic trade policy and signaling costs with differentiated goods

We consider a trade policy model, where the costs of the home firm are private information but can be signaled through the output levels of the firm to a foreign competitor and a home policymaker. We compute the separating equilibrium and the Bayesian Nash equilibrium, and we compare the subsidies, firms’ expected profits and home government’s welfare in both equilibria, for different values of the own price effect parameter.

O impacto da liderança na motivação dos profissionais de hotelaria do Grande Porto: o caso de um hotel 4****

A liderança e a motivação são aspetos essenciais no alcance do sucesso das organizações. Os líderes alcançaram um papel de destaque nas organizações, quer através da tomada de decisões estratégicas, quer na motivação dos colaboradores. Os conceitos e o entendimento da liderança têm vindo a mudar no decurso do tempo. E sugere que, provavelmente, a liderança adquirirá novos significados e será alvo de novas abordagens no futuro. Porque as sociedades, as organizações e as pessoas mudam, é presumível que novas janelas de compreensão venham a ser abertas. Atendendo a que vivemos numa era de globalização, em que a tecnologia, as estratégias e a estrutura das organizações são quase uniformes, a verdadeira vantagem competitiva só poderá surgir das competências dos recursos humanos. Os líderes também alcançaram um papel de destaque nas organizações, quer através da tomada de decisões estratégicas, quer na motivação dos colaboradores, motivação esta que é o motor que potencia capacidade para que os colaboradores sejam persistentes visando alcançar os seus objetivos. Na indústria hoteleira, objeto de estudo da presente investigação, um dos desafios permanentes é proporcionar níveis consistentes de qualidade de serviço. Esse segmento é profundamente afetado pelo comportamento dos seus líderes e das suas características pessoais e especialmente pela maneira como influenciam os seus colaboradores a alcançarem um resultado. Sendo assim, a presente dissertação tem como objetivo geral conhecer, identificar e analisar os estilos e comportamentos de liderança praticados pelos líderes dos vários departamentos de uma unidade hoteleira do Grande Porto. Para isso, recorremos ao estudo de caso, que inclui as metodologias quantitativa e qualitativa, por forma a identificar o(s) estilo(s) de liderança presente(s) no hotel. As conclusões que resultaram da aplicação das entrevistas e do inquérito por questionário mostram que o líder atual da unidade hoteleira em estudo é o líder democrático.