Contrasts in the basins of attraction of structurally identical iterative root finding methods

A numerical comparison is performed between three methods of third order with the same structure, namely BSC, Halley’s and Euler–Chebyshev’s methods. As the behavior of an iterative method applied to a nonlinear equation can be highly sensitive to the starting points, the numerical comparison is carried out, allowing for complex starting points and for complex roots, on the basins of attraction in the complex plane. Several examples of algebraic and transcendental equations are presented.

An SPSS R-Menu for Ordinal Factor Analysis

Exploratory factor analysis is a widely used statistical technique in the social sciences. It attempts to identify underlying factors that explain the pattern of correlations within a set of observed variables. A statistical software package is needed to perform the calcula- tions. However, there are some limitations with popular statistical software packages, like SPSS. The R programming language is a free software package for statistical and graphical computing. It o ers many packages written by contributors from all over the world and programming resources that allow it to overcome the dialog limitations of SPSS. This paper o ers an SPSS dialog written in the R programming language with the help of some packages, so that researchers with little or no knowledge in programming, or those who are accustomed to making their calculations based on statistical dialogs, have more options when applying factor analysis to their data and hence can adopt a better approach when dealing with ordinal, Likert-type data.

Thermal degradation of Pb(Zr0.53Ti0.47)O3/poly(vinylidene fluoride) composites as a function of ceramic grain size and concentration

Poly(vinylidene fluoride)/Pb(Zr0.53Ti0.47)O3,([PVDF]1−x/[PZT]x) composites of volume fractions x and (0–3) type connectivity were prepared in the form of thin films. PZT powders with average grain sizes of 0.2, 0.84, and 2.35 μm in different volume fraction of PZT up to 40 % were mixed with the polymeric matrix. The influence of the inorganic particle size and its content on the thermal degradation properties of the composites was then investigated by means of thermo-gravimetric analysis. It is observed that filler size affects more than filler concentration the degradation temperature and activation energy of the polymer. In the same way and due to their larger specific area, smaller particles leave larger solid residuals after the polymer degradation. The polymer degradation mechanism is not significantly modified by the presence of the inorganic fillers. On the other hand, an inhibition effect occurs due to the presence of the fillers, affecting particularly the activation energy of the process.

O Design Como Processo: A Metáfora do Jogo Enquanto Meio Participativo

Nesta comunicação iremos abordar exemplos da prática do design enquanto processo, como uma metáfora de jogo, em que os intervenientes aceitam voluntariamente as regras e nele participam para atingirem um objectivo comum. Desta forma, interessa-nos explorar o design no contexto que vai para além do discurso forma/função/conteúdo – aquele que inclui elementos performativos, abertos, experienciais e orientados para o processo, numa prática participativa e de colaboração, aplicado ao contexto da educação. Como metodologia de trabalho iremos confrontar perspectivas actuais da teoria e da prática do design que equacionam esta problemática, procurando deste modo contribuir para a reflexão de estratégias metodológicas no ensino do design, no contexto contemporâneo.

O design como processo: a metáfora do jogo enquanto meio participativo

Neste artigo iremos abordar exemplos da prática do design enquanto processo, como uma metáfora de jogo, em que os intervenientes aceitam voluntariamente as regras e nele participam para atingirem um objectivo comum. Desta forma, interessa-nos explorar o design que inclui elementos performativos, abertos, experienciais e orientados para o processo, numa prática participativa e de colaboração. Como metodologia de trabalho iremos confrontar perspetivas atuais da teoria e da prática do design que equacionam esta problemática procurando, deste modo, contribuir para a reflexão de estratégias metodológicas no ensino do design no contexto contemporâneo.

O design como processo: a metáfora do jogo enquanto meio participativo

Neste artigo iremos abordar exemplos da prática do design enquanto processo, como uma metáfora de jogo, em que os intervenientes aceitam voluntariamente as regras e nele participam para atingirem um objectivo comum. Desta forma, interessa-nos explorar o design que inclui elementos performativos, abertos, experienciais e orientados para o processo, numa prática participativa e de colaboração. Como metodologia de trabalho iremos confrontar perspetivas atuais da teoria e da prática do design que equacionam esta problemática procurando, deste modo, contribuir para a reflexão de estratégias metodológicas no ensino do design no contexto contemporâneo.

Vantagens/Oportunidades das redes sociais virtuais na promoção de negócios

As redes sociais virtuais são um meio potencialmente rápido e económico de promoção de negócios onde se geram clientes potenciais, exposição para o negocio, informações de mercado e tráfego do Website; se promove o marketing, a recomendação, o marketing directo, a gestão da marca e a prospecção de dados/ pesquisa e se potencia a subcontratação de tarefas de desing/ desenvolvimento, pesquisa, criação de conteúdo e gestão de comunidade. O estudo teve por base um questionário colocado nas redes sociais virtuais e no grupo de divulgação da Association for Information Systems, de 12 de Abril a 14 de Junho de 2012, tendo-se obtido 450 respostas, das quais 330 foram validas.Obtiveram-se respostas de todo o Mundo, predominantemente de Portugal(61,33%) e Brasil(10,89%), tendo-se concluído que o Facebook(78,51%) e o Linkedin(71,99%) são percebidos como as redes sociais virtuais mais úteis na promoção de negócios. Para melhor compreender a percepção que os utilizadores das redes sociais virtuais têm sobre as vantagens e oportunidades destas redes na promoção de negócios, foi utilizada a analise de clusters tendo a solução k-means se mostrando a mais estável e a de mais fácil interpretação lógica, permitindo a segmentação dos utilizadores em três clusters: Cluster 1("mais pessimista"), Cluster 2("intermédio") e Cluster 3("mais optimista"). Esta segmentação permite identificar correlações entre as variáveis grupo, morada, sexo, área de estudo, situação profissional e o numero de empregados do negocio, com os diferentes segmentos. Adicionalmente, verificam-se correlações entre as variáveis grupo, morada, sexo, área de estudo e situação profissional e a variável horas/ semana a usar as redes sociais virtuais na promoção de negócios. Espera-se que este trabalho contribua para a identificação e desenvolvimento dos métodos e estratégias que potenciem a promoção de negócios nas redes sociais virtuais.

An empirical assessment of customer satisfaction and quality of servisse: Comparing Servqual and Servperf

This paper assesses the validity and reliability of two instruments measuring quality of service, the SERVPERF and SERVQUAL scales, replicated in a novel cultural settings, a Portuguese energy company. To provide insights and strategies for managerial intervention, a relation between customers’ satisfaction and quality of service is established. The empirical study suggests a superior convergent and predictive validity of SERVPERF scale to measure quality of service in this settings when comparing to SERVQUAL. The main differences of this study with previous ones, are that this one resorts on a confirmatory factor analysis, the validation of the instruments is performed by using the same measures suggested by their creators and extends the line of research to a novel cultural settings, a Portuguese energy company. Concerning the relationship between service quality and customers’ satisfaction, all of the quality of service attributes correlate almost equally to the satisfaction ones, with a lower weight concerning tangibles.

An empirical assessment of customer satisfaction and quality of service: comparing SERVQUAL and SERVPERF

This paper assesses the validity and reliability of two instruments measuring quality of service, the SERVPERF and SERVQUAL scales, replicated in a novel cultural settings, a Portuguese energy company. To provide insights and strategies for managerial intervention, a relation between customers’ satisfaction and quality of service is established. The empirical study suggests a superior convergent and predictive validity of SERVPERF scale to measure quality of service in this settings when comparing to SERVQUAL. The main differences of this study with previous ones, are that this one resorts on a confirmatory factor analysis, the validation of the instruments is performed by using the same measures suggested by their creators and extends the line of research to a novel cultural settings, a Portuguese energy company. Concerning the relationship between service quality and customers’ satisfaction, all of the quality of service attributes correlate almost equally to the satisfaction ones, with a lower weight concerning tangibles.

Comparative analysis between statistical and artificial intelligence models in business failure prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Finantial risk analysis of portuguese textile and tourism companies

Textile and tourism sectors are two important industries in the Portuguese economy. However, its high exposure to both internal and international economic volatility make the companies operating in these economic sectors particularly vulnerable to economic crises, such as the ones which have been impacting Portugal and the European Union. The objective of this paper is to evaluate and understand the impact of size and age on the financial health of textile and tourism companies, measured by economic indices. An empirical based model is proposed. Its implications are derived and tested on a sample of 4061 Portuguese companies from textile and tourism sectors, during the period 2005-2009. The findings suggest that age has a major impact on the risk of failure, rather than size. Whereas the effect of age is generally positive regarding the financial health of the company, the effect of size is less clear and ultimately depends on the age of the company.

The impact of size and age of the company on assessing financial risk

Textiles and tourism sectors are two important sectors in Portuguese economy. Its high exposure to both internal and international economy volatility transform the companies operating in these economic sectors especially vulnerable to recent economic crises in Portugal and European Union. The objective of this paper is to evaluate and understand the impact of size and age on the financial health of textile and tourism companies, measured by economic indices. An empirical based model is proposed. Its implications are derived and tested on a sample of 4061 Portuguese companies from textile and tourism sector, during the period 2005-2009. The results conclude that age has a stronger impact on the risk of failure than size. Whereas the effect of age is generally positive regarding the financial health of the company, the effect of size is less clear and depends on the age of the company.

Financial Risk Analysis of Portuguese Textile and Tourism Companies

Textile and tourism sectors are two important industries in the Portuguese economy. However, its high exposure to both internal and international economic volatility make the companies operating in these economic sectors particularly vulnerable to economic crises, such as the ones which have been impacting Portugal and the European Union. The objective of this paper is to evaluate and understand the impact of size and age on the financial health of textile and tourism companies, measured by economic indices. An empirical based model is proposed. Its implications are derived and tested on a sample of 4061 Portuguese companies from textile and tourism sectors, during the period 2005-2009. The findings suggest that age has a major impact on the risk of failure, rather than size. Whereas the effect of age is generally positive regarding the financial health of the company, the effect of size is less clear and ultimately depends on the age of the company.

Comparative Analysis between Statistical and Artificial Intelligence Models in Business Failure Prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Financial Risk Analysis of Portuguese Textile and Tourism Companies

Textile and tourism sectors are two important industries in the Portuguese economy. However, its high exposure to both internal and international economic volatility make the companies operating in these economic sectors particularly vulnerable to economic crises, such as the ones which have been impacting Portugal and the European Union. The objective of this paper is to evaluate and understand the impact of size and age on the financial health of textile and tourism companies, measured by economic indices. An empirical based model is proposed. Its implications are derived and tested on a sample of 4061 Portuguese companies from textile and tourism sectors, during the period 2005-2009. The findings suggest that age has a major impact on the risk of failure, rather than size. Whereas the effect of age is generally positive regarding the financial health of the company, the effect of size is less clear and ultimately depends on the age of the company.