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.

Monetary channels of social inclusion: a case study of basic income and the Caixa Econômica Federal in Brazil

This article reports evidence of new monetary channels for social inclusion involving basic income policies and the Caixa Econômica Federal, a Brazilian government savings bank. Since the Plano Real (Brazilian currency) and the liberalization of banking in the 1990s, the realization of competitive advantages by the Caixa as social policy agent and the importance of citizenship cards differ from existing theories of bank change, financial inclusion and monetary policy. Multi-method research reveals the importance of 1) political theories of basic income, 2) conceptions of citizenship and social justice, and 3) a back to the future modernization of government banking. This provides alternatives to contemporary market-based banking theory, neo-liberal policies, private and non-governmental microfinance strategies, and theories in political economy about fiscal constraints to social policies. New monetary channels of change also suggest that zero sum theories about politics, monetary authority and social inclusion are amiss.

(Virtual) Agents for running electricity markets

This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, named TEMMAS (The Electricity Market Multi-Agent Simulator), explores the integration of two design constructs: (i) the specification of the environmental physical market properties and (ii) the specification of the decision-making (deliberative) and reactive agents. TEMMAS is materialized in an experimental setup involving distinct power generator companies that operate in the market and search for the trading strategies that best exploit their generating units' resources. The experimental results show a coherent market behavior that emerges from the overall simulated environment.

Agent Inferencing Meets the Semantic Web

We provide all agent; the capability to infer the relations (assertions) entailed by the rules that, describe the formal semantics of art RDFS knowledge-base. The proposed inferencing process formulates each semantic restriction as a rule implemented within a, SPARQL query statement. The process expands the original RDF graph into a fuller graph that. explicitly captures the rule's described semantics. The approach is currently being explored in order to support descriptions that follow the generic Semantic Web Rule Language. An experiment, using the Fire-Brigade domain, a small-scale knowledge-base, is adopted to illustrate the agent modeling method and the inferencing process.

A hybrid approach to multi-agent decision-making

In the aftermath of a large-scale disaster, agents' decisions derive from self-interested (e.g. survival), common-good (e.g. victims' rescue) and teamwork (e.g. fire extinction) motivations. However, current decision-theoretic models are either purely individual or purely collective and find it difficult to deal with motivational attitudes; on the other hand, mental-state based models find it difficult to deal with uncertainty. We propose a hybrid, CvI-JI, approach that combines: i) collective 'versus' individual (CvI) decisions, founded on the Markov decision process (MDP) quantitative evaluation of joint-actions, and ii)joint-intentions (JI) formulation of teamwork, founded on the belief-desire-intention (BDI) architecture of general mental-state based reasoning. The CvI-JI evaluation explores the performance's improvement

RFID together with multi-agent systems to control global value chains

Nowadays, the cooperative intelligent transport systems are part of a largest system. Transportations are modal operations integrated in logistics and, logistics is the main process of the supply chain management. The supply chain strategic management as a simultaneous local and global value chain is a collaborative/cooperative organization of stakeholders, many times in co-opetition, to perform a service to the customers respecting the time, place, price and quality levels. The transportation, like other logistics operations must add value, which is achieved in this case through compression lead times and order fulfillments. The complex supplier's network and the distribution channels must be efficient and the integral visibility (monitoring and tracing) of supply chain is a significant source of competitive advantage. Nowadays, the competition is not discussed between companies but among supply chains. This paper aims to evidence the current and emerging manufacturing and logistics system challenges as a new field of opportunities for the automation and control systems research community. Furthermore, the paper forecasts the use of radio frequency identification (RFID) technologies integrated into an information and communication technologies (ICT) framework based on distributed artificial intelligence (DAI) supported by a multi-agent system (MAS), as the most value advantage of supply chain management (SCM) in a cooperative intelligent logistics systems. Logistical platforms (production or distribution) as nodes of added value of supplying and distribution networks are proposed as critical points of the visibility of the inventory, where these technological needs are more evident.

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).

Learning business strategies for competitive electronic marketplaces

This paper presents a Multi-Agent Market simulator designed for developing new agent market strategies based on a complete understanding of buyer and seller behaviors, preference models and pricing algorithms, considering user risk preferences and game theory for scenario analysis. This tool studies negotiations based on different market mechanisms and, time and behavior dependent strategies. The results of the negotiations between agents are analyzed by data mining algorithms in order to extract rules that give agents feedback to improve their strategies. The system also includes agents that are capable of improving their performance with their own experience, by adapting to the market conditions, and capable of considering other agent reactions.