983 resultados para trust building
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An organization trusted by consumers enjoys a number of benefits. Unfortunately, instances of trust-damaging events involving organizations happen often. Damaged consumer trust in an organization has numerous negative consequences for the organization and for consumers. Currently, there is a paucity of theory about consumer trust recovery. So, understanding why and how consumer trust recovery occurs is timely, and theoretically and practically relevant. However, the findings from this study suggest that we need to distinguish between two kinds of consumer trust recovery. The first (I call it unconscious consumer trust recovery) refers to trust recovery that occurs without the consumer being fully conscious of it. In other words, a consumer is aware of their damaged trust during the scandal, but is not aware that their trust in the organization has improved. The consumer does not think about his or her recovered trust, just as they did not think about their level of trust before the scandal. The consumer trust is habitual. The second (I call it conscious consumer trust recovery) refers to an improvement in damaged trust where the consumer is fully conscious of their trust recovery. In other words, in conscious trust recovery the consumer is aware that the scandal damaged their trust in the organization. Also, after the scandal, in contrast to unconscious trust recovery, in conscious trust recovery the consumer is also fully aware that he trusts the organization as much or more than during the scandal. My aim is to inductively develop a theory explaining each type of consumer trust recovery. To do so, I use Charmazian grounded theory methodology, because this methodology is developed for theory-building from data and is aligned with the philosophical underpinnings of this study. The empirical context for this study is the meat adulteration scandal (“the horse meat scandal”) in 2013 in the UK. I collect and analyse empirical data about both types of trust recovery in an organization from 31 consumers that experienced both types. My analysis shows that when consumers perceive the scandal as less important, they experience unconscious trust recovery. This happens because the reduced importance of the scandal leads to a shift in consumers’ attention, which in turn leads to their inattentiveness to the scandal. Consumer inattentiveness is an immediate antecedent of unconscious trust recovery. Conscious consumer trust recovery occurs because consumers see cues indicating to them that the food retailer has improved product control systems, which in turn leads to consumer perceptions of the organization’s renewed ability. Consumer perception of renewed ability is an immediate antecedent of their conscious trust recovery. My findings lead me to make three main theoretical contributions to the theory of trust recovery in general and to consumer trust recovery in particular. The first contribution lies in showing that there are two types of consumer trust recovery in an organization, not one, as previously conceptualised, and that the same consumers can experience both types. The second contribution is a theory of unconscious consumer trust recovery in an organization that involves three concepts: consumers’ perceived importance of the scandal, consumers’ shift of attention, and consumer inattentiveness. The third contribution is the finding that conscious recovery of consumer trust occurs even when existing theory of trust recovery would predict that it would not. This study can help managers aiming to repair consumer trust in an organization by identifying a set of antecedents and underlying mechanisms that can guide such trust repair.
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This research investigates the Soviet Union’s role in guiding state-building processes of postcolonial Arab countries of the Middle East, leading them to adopt economic and political elements of the socialist-Leninist models of development. The widespread narrative depicts the Soviets as having failed to export communism in those states and, therefore, as having failed to bring them closer to Moscow’s sphere of influence and values. However, various Soviet archives suggest a different reality. As the Cold War burst forth, between the mid-1950s and mid-1960s, contacts between Soviet and Arab officials were not just incredibly frequent but they went to the core of all main issues of socio-economic development of these transforming countries: party politics, institution building, agrarian reforms, industrialisation, security sector reforms, etc. The research focuses on a period that may be labelled as ‘the launching phase’ of the Soviet Middle East policy, which established a long-lasting framework for the Soviet-Arab dialogue. It also places significant attention on the ‘personal dimension’ of such a dialogue, showing how Moscow’s influence went hand in hand with the ability of Soviet leaders and diplomats to establish relations of personal trust with postcolonial Arab élites. A selected number of Arab countries are examined: Egypt, Iraq and Syria. For each of these countries, a limited period of time will be taken into consideration, when Soviet influence reached its peak and state-building policies might have drawn from the Soviet model (for Egypt 1954-1958; for Iraq 1958-1963; for Syria 1961-1966). On the one hand, the analysis of specific case-studies will allow to investigate the relationship between Moscow and each of these new Arab regimes; on the other, such a large geographical scope will permit to grasp the elements and the objectives of the broader Soviet policy towards the Middle East region.
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We report first-principles calculations on the electronic and structural properties of chemically functionalized adamantane molecules, either in isolated or crystalline forms. Boron and nitrogen functionalized molecules, aza-, tetra-aza-, bora-, and tetra-bora-adamantane, were found to be very stable in terms of energetics, consistent with available experimental data. Additionally, a hypothetical molecular crystal in a zincblende structure, involving the pair tetra-bora-adamantane and tetra-aza-adamantane, was investigated. This molecular crystal presented a direct and large electronic band gap and a bulk modulus of 20 GPa. The viability of using those functionalized molecules as fundamental building blocks for nanostructure self-assembly is discussed.
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This paper presents a framework to build medical training applications by using virtual reality and a tool that helps the class instantiation of this framework. The main purpose is to make easier the building of virtual reality applications in the medical training area, considering systems to simulate biopsy exams and make available deformation, collision detection, and stereoscopy functionalities. The instantiation of the classes allows quick implementation of the tools for such a purpose, thus reducing errors and offering low cost due to the use of open source tools. Using the instantiation tool, the process of building applications is fast and easy. Therefore, computer programmers can obtain an initial application and adapt it to their needs. This tool allows the user to include, delete, and edit parameters in the functionalities chosen as well as storing these parameters for future use. In order to verify the efficiency of the framework, some case studies are presented.
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The importance of a careful selection of rocks used in building facade cladding is highlighted. A simple and viable methodology for the structural detailing of dimension stones and the verification of the global performance is presented based on a Strap software simulation. The results obtained proved the applicability of the proposed structural dimensioning methodology which represents an excellent simple tool for dimensioning rock slabs used for building facade cladding. The Strap software satisfactorily simulated the structural conditions of the stone slabs under the studied conditions, allowing the determination of alternative slab dimensions and the verification of the cladding strength at the support.
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The performance assessment as to water consumption in WC cisterns has contributed to the development of flushing system technologies, which allow smaller flushing volumes. The purpose of this work is to assess the performance of the the low water consumption requirement of WC cisterns with dual flushing system (6/3L), when compared to 6L flushing volume WC cisterns in multifamily buildings. The research methodology consisted of a case study in a multifamily residential building with submetering system, by monitoring the total water consumption and the two flushing systems using water meters installed in WC cisterns. By means of a mathematical model, a comparison of the design flowrate in the main branch was carried out considering the two types of WC cisterns. The results indicated that the water consumption in the 6L WC cistern was 20% in relation to the total domestic consumption, whereas the water consumption observed in the dual-flush WC cistern (6/3L) was 16%. The dual flushing system (6/3L) presented about 18% consumption reduction impact as compared to the 6 L system. The design flowrate values in the main branch, obtained by the mathematical model, were 0.35 L/s for systems with 6 L WC cistern and 0.34 L/s with dual-flush WC cistern (6/3 L), that is, a reduction of similar to 3%. Practical application: The knowledge of the performance in field of dual-flush WC cistern contributes to industry to improve this system and to users to aid their choice of technologies aimed at water conservation, and so assisting to the development of sustainable buildings.
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Distributed control systems consist of sensors, actuators and controllers, interconnected by communication networks and are characterized by a high number of concurrent process. This work presents a proposal for a procedure to model and analyze communication networks for distributed control systems in intelligent building. The approach considered for this purpose is based on the characterization of the control system as a discrete event system and application of coloured Petri net as a formal method for specification, analysis and verification of control solutions. With this approach, we develop the models that compose the communication networks for the control systems of intelligent building, which are considered the relationships between the various buildings systems. This procedure provides a structured development of models, facilitating the process of specifying the control algorithm. An application example is presented in order to illustrate the main features of this approach.
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There are several ways to attempt to model a building and its heat gains from external sources as well as internal ones in order to evaluate a proper operation, audit retrofit actions, and forecast energy consumption. Different techniques, varying from simple regression to models that are based on physical principles, can be used for simulation. A frequent hypothesis for all these models is that the input variables should be based on realistic data when they are available, otherwise the evaluation of energy consumption might be highly under or over estimated. In this paper, a comparison is made between a simple model based on artificial neural network (ANN) and a model that is based on physical principles (EnergyPlus) as an auditing and predicting tool in order to forecast building energy consumption. The Administration Building of the University of Sao Paulo is used as a case study. The building energy consumption profiles are collected as well as the campus meteorological data. Results show that both models are suitable for energy consumption forecast. Additionally, a parametric analysis is carried out for the considered building on EnergyPlus in order to evaluate the influence of several parameters such as the building profile occupation and weather data on such forecasting. (C) 2008 Elsevier B.V. All rights reserved.
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We address here aspects of the implementation of a memory evolutive system (MES), based on the model proposed by A. Ehresmann and J. Vanbremeersch (2007), by means of a simulated network of spiking neurons with time dependent plasticity. We point out the advantages and challenges of applying category theory for the representation of cognition, by using the MES architecture. Then we discuss the issues concerning the minimum requirements that an artificial neural network (ANN) should fulfill in order that it would be capable of expressing the categories and mappings between them, underlying the MES. We conclude that a pulsed ANN based on Izhikevich`s formal neuron with STDP (spike time-dependent plasticity) has sufficient dynamical properties to achieve these requirements, provided it can cope with the topological requirements. Finally, we present some perspectives of future research concerning the proposed ANN topology.
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Riverside Expressway building, Expressway on right.
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William St building, facing Riverside Expressway. Landscaped courtyard space in foreground.
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William St building, facing Riverside Expressway.
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Steel shading structure to East elevation of Riverside Expressway building. William St building and main entry area in background.
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North elevation, Riverside Expressway building.