908 resultados para ACTOR-NETWORK THEORY
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The purpose of the research work resulting from various studies undertaken in the CEDEX, as summarized in this article, is to make a comparative analysis of methods for calculating overtopping rates developed by different authors. To this effect, in the first place, existing formulae for estimating the overtopping rate on rubble mound and vertical breakwaters were summarised and analysed. Later, the above mentioned formulae were compared using the results obtained in a series of hydraulic model tests at the CEDEX (the Center of Studies of Ports and Coasts of the CEDEX, Madrid, Spain). A calculation method based on the neural network theory, developed in the European CLASH Project, was applied to a series of sloping breakwater tests in order to complete this research. The results obtained in the Ferrol, Ciervana and Alicante breakwaters tests are presented here.
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O consumidor contemporâneo, inserido em um novo ambiente de comunicação, potencializa suas expressões, capaz de avaliar uma marca ou produto e transmitir sua opinião pelas redes sociais, ou seja, o consumidor expressa suas opiniões e desejos dialogando com seus pares de forma espontânea nas redes sociais on-line. É neste ambiente de participação e interação (ciberespaço) que está nosso objeto de estudo, o boca a boca on-line – a voz do consumidor contemporâneo, também conhecido como uma manifestação informativa pessoal ou uma conversa, a opinion sharing. Proporcionado pelos consumidores nas redes sociais on-line, o boca a boca se fortalece em função das possibilidades de interação, característica da sociedade em rede. Nesse cenário, oobjetivo desta pesquisa é caracterizar o boca a boca on-line como um novo fluxo comunicacional entre consumidores, hoje potencializado pelas novas tecnologias da comunicação, capazes de alterar a percepção da marca e demonstrar o uso, pelas marcas, das redes sociais on-line ainda como um ambiente de comunicação unidirecional. Mediante três casos selecionados por conveniência (dois casos nacionais e um internacional), o corpus de análise de nossa pesquisa se limitou aos 5.084 comentários disponibilizados após publicação de matérias jornalísticas no Portal G1 e nas fanpages (Facebook), ambos relativos aos casos selecionados. Com a Análise de Conteúdo dos posts, identificamos e categorizamos a fala do consumidor contemporâneo, sendo assim possível comprovar que as organizações/marcas se valem da cultura do massivo, não dialogando com seus consumidores, pois utilizam as redes sociais on-line ainda de forma unidirecional, além de não darem a devida atenção ao atual fluxo onde se evidencia a opinião compartilhada dos consumidores da sociedade em rede.
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A expansão das redes sociais virtuais, o aperfeiçoamento das técnicas de informação, a penetrabilidade do capitalismo de concorrência e o fragmentado sujeito pós-moderno constituem, ao lado da sociedade de consumo, os pilares desta tese. Nossa hipótese central é que as redes sociais da Internet ampliam os espaços de participação, compartilhamento, colaboração e manifestação das decepções do consumidor, mas não diminuem as descontinuidades, a incompreensão e o desrespeito oriundos das relações e práticas de consumo, podendo, muitas vezes, aceleraremasconflitualidades. A abertura para o diálogo, o incitamento à tomada de poder do sujeito e a multiplicação das trocas entre empresas e consumidores representam a oportunidade e o desafio de valorizarmos a concepção normativa da comunicação, admitindo as dificuldades da intercompreensão, a urgência da coabitação e a realidade da incomunicação. Recorremos à Análise de Discurso de tradição francesa (AD) como campo teórico-metodológico para analisar o discurso do consumidor inscrito na plataforma Reclame AQUI e construir uma crítica à comunicação corporativa contemporânea; a partir dos conceitos de cenografia, ethos e esquematização enunciativa, verificamos como a ideologia opera no interior das cenas daenunciação do consumo, constituindo uma ordem própria ao discurso do reclamante decepcionado. Esta análise ratificou as discussões teóricas que levamos a cabo, servindo de suporte para a problematização e o debate das sete cenografias que se evidenciaram no/pelo discurso do sujeito/consumidor: respeito/desrespeito, ameaça, promessa e frustração, mau atendimento e problema não resolvido, negociação, clientes novos x antigos e consumidor enganado; a imbricação do nosso corpuse o arcabouço teórico coloca na ribalta a necessidade de políticas de comunicação organizacional norteadas pelo senso prático de outridade, transcendendo as relações puramente mercadológicas; ao mesmo tempo, lança luz sobre apremência de mais solidariedade, compaixão, capacidade de escuta, compreensão e coabitação para as corporações que funcionam em uma sociedade guiada pelo frenesi da ética da concorrência e da consumolatria. Esta tese evidencia que a atuação dos consumidores e das empresas no mundo on-line representa mais que um elemento circunstancial de (in) tolerância mútua; desenha um destino comum que pode ter como rumo a outridade solidária do próximo, aceitando a experiência da alteridade, o risco do fracasso e a esperança da confiança e do respeito que a comunicação pode conceber.
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Date of Acceptance: 13/07/2015
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Many growing networks possess accelerating statistics where the number of links added with each new node is an increasing function of network size so the total number of links increases faster than linearly with network size. In particular, biological networks can display a quadratic growth in regulator number with genome size even while remaining sparsely connected. These features are mutually incompatible in standard treatments of network theory which typically require that every new network node possesses at least one connection. To model sparsely connected networks, we generalize existing approaches and add each new node with a probabilistic number of links to generate either accelerating, hyperaccelerating, or even decelerating network statistics in different regimes. Under preferential attachment for example, slowly accelerating networks display stationary scale-free statistics relatively independent of network size while more rapidly accelerating networks display a transition from scale-free to exponential statistics with network growth. Such transitions explain, for instance, the evolutionary record of single-celled organisms which display strict size and complexity limits.
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This paper aims to develop a framework for SMEs to help them understand, and thus to improve, the process of knowledge exchange with their customers or suppliers. Through a review of the literature on knowledge transfer, organisational learning, social network theory and electronic networks, the key actors, key factors and their relationships in the process are identified. Finally, a framework containing all above points is proposed.
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Flow control in Computer Communication systems is generally a multi-layered structure, consisting of several mechanisms operating independently at different levels. Evaluation of the performance of networks in which different flow control mechanisms act simultaneously is an important area of research, and is examined in depth in this thesis. This thesis presents the modelling of a finite resource computer communication network equipped with three levels of flow control, based on closed queueing network theory. The flow control mechanisms considered are: end-to-end control of virtual circuits, network access control of external messages at the entry nodes and the hop level control between nodes. The model is solved by a heuristic technique, based on an equivalent reduced network and the heuristic extensions to the mean value analysis algorithm. The method has significant computational advantages, and overcomes the limitations of the exact methods. It can be used to solve large network models with finite buffers and many virtual circuits. The model and its heuristic solution are validated by simulation. The interaction between the three levels of flow control are investigated. A queueing model is developed for the admission delay on virtual circuits with end-to-end control, in which messages arrive from independent Poisson sources. The selection of optimum window limit is considered. Several advanced network access schemes are postulated to improve the network performance as well as that of selected traffic streams, and numerical results are presented. A model for the dynamic control of input traffic is developed. Based on Markov decision theory, an optimal control policy is formulated. Numerical results are given and throughput-delay performance is shown to be better with dynamic control than with static control.
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The present paper examines the issue of whether interpersonal relationships are critical for global marketing of industrial products. The fields of relationship marketing, IMP group research, sales research, and network theory have stressed the importance of interpersonal relationships in the business-to-business or industrial marketing context. In contrast to this emphasis on interpersonal relationships, we argue that industrial firms can both conceive and enhance marketing strategies based on developing high quality and consistent processes, products, services or outcomes (consistent processes and outcomes). Such strategies are especially important given the fact that developing interpersonal relationships is expensive due to their reliance on frequent and/or face-to-face communications. In this paper, we examine industry and country contexts that lead to the choice of alternative industrial product marketing strategies and highlight some future research directions and managerial implications.
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Supply Chain Risk Management (SCRM) has become a popular area of research and study in recent years. This can be highlighted by the number of peer reviewed articles that have appeared in academic literature. This coupled with the realisation by companies that SCRM strategies are required to mitigate the risks that they face, makes for challenging research questions in the field of risk management. The challenge that companies face today is not only to identify the types of risks that they face, but also to assess the indicators of risk that face them. This will allow them to mitigate that risk before any disruption to the supply chain occurs. The use of social network theory can aid in the identification of disruption risk. This thesis proposes the combination of social networks, behavioural risk indicators and information management, to uniquely identify disruption risk. The propositions that were developed from the literature review and exploratory case study in the aerospace OEM, in this thesis are:- By improving information flows, through the use of social networks, we can identify supply chain disruption risk. - The management of information to identify supply chain disruption risk can be explored using push and pull concepts. The propositions were further explored through four focus group sessions, two within the OEM and two within an academic setting. The literature review conducted by the researcher did not find any studies that have evaluated supply chain disruption risk management in terms of social network analysis or information management studies. The evaluation of SCRM using these methods is thought to be a unique way of understanding the issues in SCRM that practitioners face today in the aerospace industry.
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Complexity science is the multidisciplinary study of complex systems. Its marked network orientation lends itself well to transport contexts. Key features of complexity science are introduced and defined, with a specific focus on the application to air traffic management. An overview of complex network theory is presented, with examples of its corresponding metrics and multiple scales. Complexity science is starting to make important contributions to performance assessment and system design: selected, applied air traffic management case studies are explored. The important contexts of uncertainty, resilience and emergent behaviour are discussed, with future research priorities summarised.
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Complex network theory is a framework increasingly used in the study of air transport networks, thanks to its ability to describe the structures created by networks of flights, and their influence in dynamical processes such as delay propagation. While many works consider only a fraction of the network, created by major airports or airlines, for example, it is not clear if and how such sampling process bias the observed structures and processes. In this contribution, we tackle this problem by studying how some observed topological metrics depend on the way the network is reconstructed, i.e. on the rules used to sample nodes and connections. Both structural and simple dynamical properties are considered, for eight major air networks and different source datasets. Results indicate that using a subset of airports strongly distorts our perception of the network, even when just small ones are discarded; at the same time, considering a subset of airlines yields a better and more stable representation. This allows us to provide some general guidelines on the way airports and connections should be sampled.
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With the development of information technology, the theory and methodology of complex network has been introduced to the language research, which transforms the system of language in a complex networks composed of nodes and edges for the quantitative analysis about the language structure. The development of dependency grammar provides theoretical support for the construction of a treebank corpus, making possible a statistic analysis of complex networks. This paper introduces the theory and methodology of the complex network and builds dependency syntactic networks based on the treebank of speeches from the EEE-4 oral test. According to the analysis of the overall characteristics of the networks, including the number of edges, the number of the nodes, the average degree, the average path length, the network centrality and the degree distribution, it aims to find in the networks potential difference and similarity between various grades of speaking performance. Through clustering analysis, this research intends to prove the network parameters’ discriminating feature and provide potential reference for scoring speaking performance.
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Today the high-price mechanical wristwatch is recognized as a luxury object redolent with notions of adventure, sporting achievement, elevated social status, and technical precision. Through an examination of the segmentation of the current luxury wristwatch market and key moments in the historical development of the wristwatch, this article will explain why these connotations exist. In particular, the article will explain the role that the early development of the wristwatch as a piece of military technical equipment and the mechanical wristwatch’s revitalization as a luxury good in response to the development of commercial quartz timekeeping technology have played in reconstructing the wristwatch as an object type. By utilizing network theory and the analytical tool of complexity, and drawing on fieldwork undertaken in London and Switzerland amongst the manufacturers, distributors, retailers, and consumers of high-value wristwatches, the article will explain how the wristwatch can simultaneously be seen as functional tool, fashion statement, status symbol, and anachronism. This insight into the true nature of the wristwatch as a multivalent and semiotically charged object will also be used to inform reflections on the likely impact of generally perceived current threats to the luxury watch industry: the rise in ethical material sourcing campaigns, the stubborn gender imbalance in watch sales, and the recent appearance of smart watches and similar digital devices.
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Thesis (Ph.D.)--University of Washington, 2016-08
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Jerne's idiotypic network theory postulates that the immune response involves inter-antibody stimulation and suppression as well as matching to antigens. The theory has proved the most popular Artificial Immune System (AIS) model for incorporation into behavior-based robotics but guidelines for implementing idiotypic selection are scarce. Furthermore, the direct effects of employing the technique have not been demonstrated in the form of a comparison with non-idiotypic systems. This paper aims to address these issues. A method for integrating an idiotypic AIS network with a Reinforcement Learning based control system (RL) is described and the mechanisms underlying antibody stimulation and suppression are explained in detail. Some hypotheses that account for the network advantage are put forward and tested using three systems with increasing idiotypic complexity. The basic RL, a simplified hybrid AIS-RL that implements idiotypic selection independently of derived concentration levels and a full hybrid AIS-RL scheme are examined. The test bed takes the form of a simulated Pioneer robot that is required to navigate through maze worlds detecting and tracking door markers.