Credibility and staff conduct make or break bank customer service quality

Service quality is assessed by customers along the dimensions of staff conduct, credibility, communication, and access to teller services. Credibility and staff conduct emerge as the highest loading first-order factors. This highlights the significance of rectifying mistakes while keeping customers informed, and employing branch staff that are responsive and civilized in their conduct. Discovery of a valid second-order factor, namely, overall customer service quality, underscores the importance of providing quality service across all its dimensions. For example, if the bank fails to rectify mistakes and keep customers informed but excels in all other dimensions, its overall customer service quality can still be rated poorly.

Masculine, feminine or neutral? In-company equal opportunities policies in Irish and French MNC retailing

Several problematic aspects of women's paid employment - e.g. low pay and lack of promotional opportunities - are exacerbated by the segregation of women and men into different occupations. In this article, the potential of in-store equal opportunities policies to break down such gender segregation will be explored, through consideration of the existence and implementation of these policies in twenty-two multinational retail companies in Dublin and Paris. It will be argued that, with one notable exception, the instore equal opportunities policies are effectively neutralized, and furthermore are neutralized in nationally specific ways which can be related to differences between France and Ireland in the organization of labour-market regulation and in women's labour-force participation (LFP). The case-study findings also suggest that the 'country' variable has a stronger effect on the existence and implementation of these policies than the extent of a shop's links to an overseas headquarters. The findings of this study have implications for both the equity of women's incorporation into the paid labour force and understanding of aspects of HRM in branches of multinational companies.

Escalas concorrentes para a mensuraçãoda qualidade percebida: uma comparação entre a Servqual e a RSQ

Não há dúvida sobre a importância da qualidade de serviços como fator de sucesso empresarial, mas mensurar essa qualidade tem se mostrado um desafio quando se consideram diferentes contextos. Diante disso, o objetivo deste estudo foi testar duas escalas de mensuração da qualidade percebida de serviços. A comparação entre a escala Service Quality (Servqual) e a Retail Service Quality (RSQ), deu-se por meio de survey junto a 351 respondentes e utilizou como ambiente de pesquisa uma rede de home centers com lojas localizadas na cidade de São Paulo. Para analisar os dados obtidos, foram utilizadas as técnicas multivariadas de análise fatorial exploratória e confirmatória. Como resultado, as duas escalas demonstraram níveis aceitáveis de confiabilidade e validade. Entretanto, no teste de validade nomológica, a escala RSQ mostrou-se superior à escala Servqual, uma vez que a primeira foi capaz de explicar 43% da lealdade em relação ao varejista, enquanto a segunda explicou apenas 11%.

ANTECEDENTS AND CONSEQUENCES OF HOUSEHOLD FINANCIAL MANAGEMENT IN BRAZILIAN LOWER-MIDDLE-CLASS

Through two complementary and exploratory studies – one qualitative and one quantitative – this research aims to understand the ways in which lower-middle-class families in Brazil manage their household finances. The study proposes an integrated framework that brings together various previously disconnected theoretical fragments. Based on a survey with a sample of 165 lower-middle-class female consumers of a retail company in São Paulo, we explored and tested, via a quantitative study, how antecedents such as personal characteristics affect the financial management process, as well as its consequences, either negatively as defaults or positively as savings. The model calibration and analysis were derived from a series of regression analyses. The results revealed the mediator role that financial management plays in the relationship between personal characteristics and defaults and savings. Compared to previous studies with consumers of more affluent countries, we identified peculiar findings among Brazilian lower-middle-class consumers: inadequate attention to control, weak or no focus on short- or long-range planning, widespread absence of budget surplus, and influence of critical events on episodes of default.

Impacto da integração dos veículos eléctricos nos edifícios multi-habitacionais, nas redes de distribuição de baixa tensão e no diagrama de carga nacional

Associado à escassez dos combustíveis fósseis e ao desejado controlo de emissões nocivas para a atmosfera, assistimos no mundo ao desenvolvimento do um novo paradigma — a mobilidade eléctrica. Apesar das variações de maior ou menor arbítrio político dos governos, do excelente ou débil desenvolvimento tecnológico, relacionados com os veículos eléctricos, estamos perante um caminho, no que diz respeito à mobilidade eléctrica, que já não deve ser encarado como uma moda mas como uma orientação para o futuro da mobilidade. Portugal tendo dado mostras que pretende estar na dianteira deste desafio, necessita equacionar e compreender em que condições existirá uma infra-estrutura nacional capaz de fazer o veículo eléctrico vingar. Assim, neste trabalho, analisa-se o impacto da mobilidade eléctrica em algumas dessas infra-estruturas, nomeadamente nos edifícios multi-habitacionais e redes de distribuição em baixa tensão. São criados neste âmbito, quatro perfis de carregamento dos EVs nomeadamente: nas horas de chegada a casa; nas horas de vazio com início programado pelo condutor; nas horas de vazio controlado por operador de rede (“Smart Grid”); e um cenário que contempla a utilização do V2G. Com a obrigação legal de nos novos edifícios serem instaladas tomadas para veículos eléctricos, é estudado, com os cenários anteriores a possibilidade de continuar a conceber as instalações eléctricas, sem alterar algumas das disposições legais, ao abrigo dos regulamentos existentes. É também estudado, com os cenários criados e com a previsão da venda de veículos eléctricos até 2020, o impacto deste novo consumo no diagrama de carga do Sistema Eléctrico Nacional. Mostra-se assim que a introdução de sistemas inteligentes de distribuição de energia [Smartgrid e vehicle to grid” (V2G)] deverá ser encarada como a solução que por excelência contribuirá para um aproveitamento das infra-estruturas existentes e simultaneamente um uso acessível para os veículos eléctricos.

Contratos bilaterais em mercados multi-agente de energia eléctrica: protocolo de ofertas alternadas

A liberalização do sector eléctrico, e a consequente criação de mercados de energia eléctrica regulados e liberalizados, mudou a forma de comercialização da electricidade. Em particular, permitiu a entrada de empresas nas actividades de produção e comercialização, aumentando a competitividade e assegurando a liberdade de escolha dos consumidores, para decidir o fornecedor de electricidade que pretenderem. A competitividade no sector eléctrico aumentou a necessidade das empresas que o integram a proporem preços mais aliciantes (do que os preços propostos pelos concorrentes), e contribuiu para o desenvolvimento de estratégias de mercado que atraiam mais clientes e aumentem a eficiência energética e económica. A comercialização de electricidade pode ser realizada em mercados organizados ou através de contratação directa entre comercializadores e consumidores, utilizando os contratos bilaterais físicos. Estes contratos permitem a negociação dos preços de electricidade entre os comercializadores e os consumidores. Actualmente, existem várias ferramentas computacionais para fazer a simulação de mercados de energia eléctrica. Os simuladores existentes permitem simulações de transacções em bolsas de energia, negociação de preços através de contratos bilaterais, e análises técnicas a redes de energia. No entanto, devido à complexidade dos sistemas eléctricos, esses simuladores apresentam algumas limitações. Esta dissertação apresenta um simulador de contratos bilaterais em mercados de energia eléctrica, sendo dando ênfase a um protocolo de ofertas alternadas, desenvolvido através da tecnologia multi-agente. Em termos sucintos, um protocolo de ofertas alternadas é um protocolo de interacção que define as regras da negociação entre um agente vendedor (por exemplo um retalhista) e um agente comprador (por exemplo um consumidor final). Aplicou-se o simulador na resolução de um caso prático, baseado em dados reais. Os resultados obtidos permitem concluir que o simulador, apesar de simplificado, pode ser uma ferramenta importante na ajuda à tomada de decisões inerentes à negociação de contratos bilaterais em mercados de electricidade.

Evaluation of alcohol outlet density and its relation with violence

OBJECTIVES: The current study set out to investigate alcohol availability in a densely populated, residential area of suburban São Paulo associated with high levels of social deprivation and violence. Gun-related deaths and a heavy concentration of alcohol outlets are notable features of the area surveyed. Given the strong evidence for a link between alcohol availability and a number of alcohol-related problems, including violent crime, measures designed to reduce accessibility have become a favored choice for alcohol prevention programs in recent years. METHODS: The interviewers were 24 residents of the area who were trained for the study. It was selected an area of nineteen streets, covering a total distance of 3.7 km. A profile of each alcohol outlet available on the area was recorded. RESULTS: One hundred and seven alcohol outlets were recorded. The number of other properties in the same area was counted at 1,202. Two measures of outlet density may thus be calculated: the number of outlets per kilometer of roadway (29 outlets/km); and the proportion of all properties that sold alcohol (1 in 12). CONCLUSIONS: The results of this study is compared with others which are mainly from developed countries and shown that the area studied have the highest density of alcohol outlet density ever recorded in the medical literature. The implication of this data related to the violence of the region is discussed. By generating a profile of alcohol sales and selling points, it was hoped to gain a better understanding of alcohol access issues within the sample area. Future alcohol prevention policy would be well served by such knowledge.

Definition of MV Load Diagrams via Weighted Evidence Accumulation Clustering using Subsampling

A definition of medium voltage (MV) load diagrams was made, based on the data base knowledge discovery process. Clustering techniques were used as support for the agents of the electric power retail markets to obtain specific knowledge of their customers’ consumption habits. Each customer class resulting from the clustering operation is represented by its load diagram. The Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) were applied to an electricity consumption data from a utility client’s database in order to form the customer’s classes and to find a set of representative consumption patterns. The WEACS approach is a clustering ensemble combination approach that uses subsampling and that weights differently the partitions in the co-association matrix. As a complementary step to the WEACS approach, all the final data partitions produced by the different variations of the method are combined and the Ward Link algorithm is used to obtain the final data partition. Experiment results showed that WEACS approach led to better accuracy than many other clustering approaches. In this paper the WEACS approach separates better the customer’s population than Two-step clustering algorithm.

Determination of electricity consumers’ load profiles via weighted evidence accumulation clustering using subsampling

With the electricity market liberalization, the distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity consumers. A fair insight on the consumers’ behavior will permit the definition of specific contract aspects based on the different consumption patterns. In order to form the different consumers’ classes, and find a set of representative consumption patterns we use electricity consumption data from a utility client’s database and two approaches: Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) for combining partitions in a clustering ensemble. While EAC uses a voting mechanism to produce a co-association matrix based on the pairwise associations obtained from N partitions and where each partition has equal weight in the combination process, the WEACS approach uses subsampling and weights differently the partitions. As a complementary step to the WEACS approach, we combine the partitions obtained in the WEACS approach with the ALL clustering ensemble construction method and we use the Ward Link algorithm to obtain the final data partition. The characterization of the obtained consumers’ clusters was performed using the C5.0 classification algorithm. Experiment results showed that the WEACS approach leads to better results than many other clustering approaches.

Knowledge extraction from medium voltage load diagrams to support the definition of electrical tariffs

With the electricity market liberalization, distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. In this environment all consumers are free to choose their electricity supplier. A fair insight on the customer´s behaviour will permit the definition of specific contract aspects based on the different consumption patterns. In this paper Data Mining (DM) techniques are applied to electricity consumption data from a utility client’s database. To form the different customer´s classes, and find a set of representative consumption patterns, we have used the Two-Step algorithm which is a hierarchical clustering algorithm. Each consumer class will be represented by its load profile resulting from the clustering operation. Next, to characterize each consumer class a classification model will be constructed with the C5.0 classification algorithm.

Health and psychosocial effects of flexible working hours

OBJECTIVE: To examine whether any impairments in health and social lives can be found under different kinds of flexible working hours, and whether such effects are related to specific characteristics of these working hours. METHODS: Two studies - a company based survey (N=660) and an internet survey (N=528) - have been conducted. The first one was a questionnaire study (paper and pencil) on employees working under some 'typical' kinds of different flexible working time arrangements in different companies and different occupational fields (health care, manufacturing, retail, administration, call centres). The second study was an internet-based survey, using an adaptation of the questionnaire from the first study. RESULTS: The results of both studies consistently show that high variability of working hours is associated with increased impairments in health and well-being and this is especially true if this variability is company controlled. These effects are less pronounced if variability is self-controlled; however, autonomy does not compensate the effects of variability. CONCLUSIONS: Recommendations for an appropriate design of flexible working hours should be developed in order to minimize any impairing effects on health and psychosocial well-being; these recommendations should include - besides allowing for discretion in controlling one's (flexible) working hours - that variability in flexible working hours should be kept low (or at least moderate), even if this variability is self-controlled.

An integrated system to support electricity tariff contract definition

This paper presents an integrated system that helps both retail companies and electricity consumers on the definition of the best retail contracts and tariffs. This integrated system is composed by a Decision Support System (DSS) based on a Consumer Characterization Framework (CCF). The CCF is based on data mining techniques, applied to obtain useful knowledge about electricity consumers from large amounts of consumption data. This knowledge is acquired following an innovative and systematic approach able to identify different consumers’ classes, represented by a load profile, and its characterization using decision trees. The framework generates inputs to use in the knowledge base and in the database of the DSS. The rule sets derived from the decision trees are integrated in the knowledge base of the DSS. The load profiles together with the information about contracts and electricity prices form the database of the DSS. This DSS is able to perform the classification of different consumers, present its load profile and test different electricity tariffs and contracts. The final outputs of the DSS are a comparative economic analysis between different contracts and advice about the most economic contract to each consumer class. The presentation of the DSS is completed with an application example using a real data base of consumers from the Portuguese distribution company.

Commercial agents portfolio optimization in electricity markets

As it is well known, competitive electricity markets require new computing tools for power companies that operate in retail markets in order to enhance the management of its energy resources. During the last years there has been an increase of the renewable penetration into the micro-generation which begins to co-exist with the other existing power generation, giving rise to a new type of consumers. This paper develops a methodology to be applied to the management of the all the aggregators. The aggregator establishes bilateral contracts with its clients where the energy purchased and selling conditions are negotiated not only in terms of prices but also for other conditions that allow more flexibility in the way generation and consumption is addressed. The aggregator agent needs a tool to support the decision making in order to compose and select its customers' portfolio in an optimal way, for a given level of profitability and risk.

Bicas, pacotes e outros embrulhos. materiais para o ensino de português com fins específicos

O trabalho consiste na descrição pormenorizada do processo de elaboração dos cursos Portugués para Restauración y Servicio de Bar (A1-A2) e Portugués para Dependiente de Comercio (A1-A2) (2008), cujo objetivo é certificar o nível de conhecimento linguístico dos membros da União Europeia para a realização de ocupações profissionais. Apresentamos os diferentes contextos que a equipa de língua portuguesa teve em conta antes da elaboração dos cursos ─ suportes, níveis de língua, fins ocupacionais, estudantes, região e cultura, línguas de origem dos alunos ─, bem como uma amostra das propostas desenvolvidas a nível de conteúdos culturais, gramaticais, fonéticos, lexicais, de atividades e exercícios e da avaliação.