Consumer Culture Theory (CCT) já é uma escola de pensamento em marketing?

A década de 1980 trouxe uma visão alternativa à corrente positivista predominante no campo de pesquisa do consumidor: a Consumer Culture Theory (CCT), que assume uma orientação epistemológica baseada no interpretativismo e na pesquisa qualitativa. Diante do destaque alcançado pela CCT, levantou-se a seguinte questão: a CCT já pode ser considerada uma escola de pensamento em marketing autônoma? Pautados em três critérios fundamentais para a qualificação de uma escola de pensamento (reconhecimento acadêmico, corpo de conhecimento e contribuições), foi realizada uma desk research, baseada em periódicos e artigos da área e na construção de um corpus de pesquisa construído com base nas referências contidas no texto seminal Consumer Culture Theory (CCT): twenty years of research. A conclusão é de que a CCT atende aos critérios adotados na presente pesquisa, podendo ser considerada uma escola de pensamento a utônoma dentro do campo de pesquisa do consumo.

Theory of reasoned action for continuous improvement capabilities: a behavioral approach

The importance of interaction between Operations Management (OM) and Human Behavior has been recently re-addressed. This paper introduced the Reasoned Action Theory suggested by Froehle and Roth (2004) to analyze Operational Capabilities exploring the suitability of this model in the context of OM. It also seeks to discuss the behavioral aspects of operational capabilities from the perspective of organizational routines. This theory was operationalized using Fishbein and Ajzen (F/A) behavioral model and a multi-case strategy was employed to analyze the Continuous Improvement (CI) capability. The results posit that the model explains partially the CI behavior in an operational context and some contingency variables might influence the general relations among the variables involved in the F/A model. Thus intention might not be the determinant variable of behavior in this context.

Organizing resistance movements: contribution of the political discourse theory

The main purpose of this paper is to explore the possibility of articulating Political Discourse Theory (PDT) together with Organizational Studies (OS), while using the opportunity to introduce PDT to those OS scholars who have not yet come across it. The bulk of this paper introduces the main concepts of PDT, discussing how they have been applied to concrete, empirical studies of resistance movements. In recent years, PDT has been increasingly appropriated by OS scholars to problematize and analyze resistances and other forms of social antagonisms within organizational settings, taking the relational and contingent aspects of struggles into consideration. While the paper supports the idea of a joint articulation of PDT and OS, it raises a number of critical questions of how PDT concepts have been empirically used to explain the organization of resistance movements. The paper sets out a research agenda for how both PDT and OS can together contribute to our understanding of new, emerging organizational forms of resistance movements.

Current issues in Social Work Theory

São aqui analisados os discursos sobre as tendências gerais na teoria de Serviço Social. Estes discursos sobre o papel do Serviço Social são tratados no contexto da sociedade, bem como do cliente -assistente sócial -agência. A teoria da prática representa um discurso entre as perspectivas de Serviço Social nos seus aspectos transformacionais, terapêuticos e de ordem social. São também abordadas as suas várias combinações e interacções em todo o tipo de prática e organização de Serviço Social. O discurso sobre a eficácia baseia¬se em estudos comprovados da construção social, potenciação (empowerment), e realismo crítico ainda polémico. A prática reflectiva e crítica constitui os modelos actuais que interligam a teoria e a prática.

Extreme Value Theory versus traditional GARCH approaches applied to financial data: a comparative evaluation

Although stock prices fluctuate, the variations are relatively small and are frequently assumed to be normal distributed on a large time scale. But sometimes these fluctuations can become determinant, especially when unforeseen large drops in asset prices are observed that could result in huge losses or even in market crashes. The evidence shows that these events happen far more often than would be expected under the generalized assumption of normal distributed financial returns. Thus it is crucial to properly model the distribution tails so as to be able to predict the frequency and magnitude of extreme stock price returns. In this paper we follow the approach suggested by McNeil and Frey (2000) and combine the GARCH-type models with the Extreme Value Theory (EVT) to estimate the tails of three financial index returns DJI,FTSE 100 and NIKKEI 225 representing three important financial areas in the world. Our results indicate that EVT-based conditional quantile estimates are much more accurate than those from conventional AR-GARCH models assuming normal or Student’s t-distribution innovations when doing out-of-sample estimation (within the insample estimation, this is so for the right tail of the distribution of returns).

The condensation and ordering of models of empty liquids

We consider a simple model consisting of particles with four bonding sites ("patches"), two of type A and two of type B, on the square lattice, and investigate its global phase behavior by simulations and theory. We set the interaction between B patches to zero and calculate the phase diagram as the ratio between the AB and the AA interactions, epsilon(AB)*, varies. In line with previous work, on three-dimensional off-lattice models, we show that the liquid-vapor phase diagram exhibits a re-entrant or "pinched" shape for the same range of epsilon(AB)*, suggesting that the ratio of the energy scales - and the corresponding empty fluid regime - is independent of the dimensionality of the system and of the lattice structure. In addition, the model exhibits an order-disorder transition that is ferromagnetic in the re-entrant regime. The use of low-dimensional lattice models allows the simulation of sufficiently large systems to establish the nature of the liquid-vapor critical points and to describe the structure of the liquid phase in the empty fluid regime, where the size of the "voids" increases as the temperature decreases. We have found that the liquid-vapor critical point is in the 2D Ising universality class, with a scaling region that decreases rapidly as the temperature decreases. The results of simulations and theoretical analysis suggest that the line of order-disorder transitions intersects the condensation line at a multi-critical point at zero temperature and density, for patchy particle models with a re-entrant, empty fluid, regime. (C) 2011 American Institute of Physics. [doi: 10.1063/1.3657406]

Transmission cost allocation using cooperative game theory: a comparative study

In this paper is presented a Game Theory based methodology to allocate transmission costs, considering cooperation and competition between producers. As original contribution, it finds the degree of participation on the additional costs according to the demand behavior. A comparative study was carried out between the obtained results using Nucleolus balance and Shapley Value, with other techniques such as Averages Allocation method and the Generalized Generation Distribution Factors method (GGDF). As example, a six nodes network was used for the simulations. The results demonstrate the ability to find adequate solutions on open access environment to the networks.

Multi-dimensional scaling applied to histogram-based DNA analysis

This paper aims to study the relationships between chromosomal DNA sequences of twenty species. We propose a methodology combining DNA-based word frequency histograms, correlation methods, and an MDS technique to visualize structural information underlying chromosomes (CRs) and species. Four statistical measures are tested (Minkowski, Cosine, Pearson product-moment, and Kendall τ rank correlations) to analyze the information content of 421 nuclear CRs from twenty species. The proposed methodology is built on mathematical tools and allows the analysis and visualization of very large amounts of stream data, like DNA sequences, with almost no assumptions other than the predefined DNA “word length.” This methodology is able to produce comprehensible three-dimensional visualizations of CR clustering and related spatial and structural patterns. The results of the four test correlation scenarios show that the high-level information clusterings produced by the MDS tool are qualitatively similar, with small variations due to each correlation method characteristics, and that the clusterings are a consequence of the input data and not method’s artifacts.