72 resultados para novelty inventive

em Deakin Research Online - Australia


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The marketing literature identifies customer satisfaction as an immediate antecedent to customer loyalty. Recently, some marketing researchers have questioned the strength of this link. This thesis provides insight into the relationship between customer satisfaction and loyalty and determines the effects of moderating factors, particularly the need for variety, on the satisfaction-loyalty relationship.

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The thesis integrates theory from psychology and marketing, finding that those with an innate desire to seek out information on new products / brands are motivated to do so by aspects of regulatory focus, needs for uniqueness, and their susceptibility to interpersonal influence. In turn, these people consume more media and have higher information exposure.

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The aim of the current study was to generate socially conditioned fear in two different strains of rat (Wistar, W and Sprague Dawley, SD) using social conflict, in order to investigate whether the magnitude of the conditioned fear responses in each strain was related to behaviour exhibited prior to or during fear induction (i.e. social conflict). On day one of the study, all intruders were assessed for exploratory activity in a novel environment. Twenty four hours following the novel environment test the locomotor activity of the intruders was assessed, while they underwent a single familiarisation exposure to the arena in which the conflict was subsequently to occur in. Twenty-four hours following familiarisation, intruders underwent either a 10 min social conflict or sham conflict session. One day later we examined the response of the intruders when they were returned to the vacant resident's cage. Upon return to the conflict context, we examined the intruder's ultrasonic distress vocalisations and the extent to which locomotor activity was inhibited. We found that W rats displayed significantly more immobility (i.e. conditioned fear) upon return to context than did SD rats (p < 0.05). Importantly, we observed that the differences in the two strains behaviour upon return to context appeared to be related to their quite different patterns of coping behaviour. The results of the current study indicate that preclinical between-strain comparisons potentially have much to offer in regard to understanding the basis of resilience to social stress.

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Novelty detection arises as an important learning task in several applications. Kernel-based approach to novelty detection has been widely used due to its theoretical rigor and elegance of geometric interpretation. However, computational complexity is a major obstacle in this approach. In this paper, leveraging on the cutting-plane framework with the well-known One-Class Support Vector Machine, we present a new solution that can scale up seamlessly with data. The first solution is exact and linear when viewed through the cutting-plane; the second employed a sampling strategy that remarkably has a constant computational complexity defined relatively to the probability of approximation accuracy. Several datasets are benchmarked to demonstrate the credibility of our framework.

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Computer-aided design decision support has proved to be an elusive and intangible project for many researchers as they seek to encapsulate information and knowledge-based systems as useful multifunctional data structures. Definitions of ‘knowledge', ‘information', ‘facts', and ‘data' become semantic footballs in the struggle to identify what designers actually do, and what level of support would suit them best, and how that support might be offered. The Construction Primer is a database-drivable interactive multimedia environment that provides readily updated access to many levels of information aimed to suit students and practitioners alike. This is hardly a novelty in itself. The innovative interface and metadata structures, however, combine with the willingness of national building control legislators, standards authorities, materials producers, building research organisations, and specification services to make the Construction Primer a versatile design decision support vehicle. It is both compatible with most working methodologies while remaining reasonably future-proof. This paper describes the structure of the project and highlights the importance of sound planning and strict adhesion to library-standard metadata protocols as a means to avoid the support becoming too specific or too paradigmatic.

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This paper reports research regarding the relationship between consumer loyalty, satisfaction,and novelty seeking, including an analysis of these constructs as reflected in the published literature. A telephone survey was conducted of 500 city residents, focusing on their visitation of special events, including sporting events. It was found that satisfaction was somewhat positively related to interest in attending the same sporting event, and the intention to actually visit the sporting event again. However, novelty seeking was virtually unrelated to both interest in attending the same sporting event, and the intention to actually visit the sporting event, and unrelated to satisfaction. Novelty seeking in general, or in relation to special events particularly,performed similarly as a predictor. Further research is needed to clarify the role of other moderating variables, such as the feeling of involvement in sporting events, and to investigate segmentation aspects which might be operating in relation to specific sporting events and tourists.

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In this paper, we propose a scalable and fault-tolerant job scheduling framework for grid computing. The proposed framework loosely couples a dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently.

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Recent trends in grid computing development is moving towards a service-oriented architecture. With the momentum gaining for the service-oriented grid computing systems, the issue of deploying support for integrated scheduling and fault-tolerant approaches becomes paramount importance. To this end, we propose a scalable framework that loosely couples the dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently.

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In a multi-agent environment, there is often the need for an agent to cooperate with others so as to ensure that a given task is achieved timely and cost-effectively. Present agent systems currently maximizes this through mechanisms such as trust and risk assessments. In this paper, we extend this mechanism by introducing the concept of insurance, in which the insurance agents act as a bridge between agents who require resources from others. Unlike traditional systems, agents purchase insurance so as to guarantee to have the requested resources during the task execution time and thus minimize the risk in task failure. The novelty of this proposal is that it ensures agents continuously to exchange resources and to seek maximum expected utility in a dynamic environment at the same time. Our experimental results confirm the feasibility of our approach.

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Well-established international entertainment firms such as Disney and Fisher-Price are joining new start-up firms such as Baby Einstein to create a 'Baby' market of products (including toys, games and videos) specifically targeted at children aged 0-3 years. Despite its novelty, the 'Baby' market mirrors older markets that these firms have created around other demographic groups (e.g. older children, adolescents and adults) - it redefines its target demographic group around specific commodities and promotes its redefinition as 'common sense'. The 'Baby' firms redefine babies solely as early learners whose potential to learn can be released by these firms' brand-name 'educational' or 'developmental' products. Many adults buy these products because they accept the firms' redefinition of babies, but other adults ignore the firms' promotional messages and buy the products to give themselves some time apart from their babies. The 'Baby' market is significant for children and adults because it changes young children's relationships with adults and because it subordinates local cultural differences to a children's culture that purports to be 'global' but has, in reality, extremely narrow foundations in class, race and gender.

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In multi-agent systems, there is often the need for an agent to cooperate with others so as to ensure that a given task is achieved timely and cost effectively. Currently multi-agent systems maximize this through mechanisms such as coalition formation, trust and risk assessments, etc. In this paper, we incorporate the concept of insurance with trust and risk mechanisms in multi-agent systems. The novelty of this proposal is that it ensures continuous sharing of resources while encouraging expected utility to be maximized in a dynamic environment. Our experimental results confirm the feasibility of our approach.

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In this paper, we incorporate the insurance concept in buying and selling model for agents to trade in the open multi-agent marketplace. During buying, agents purchase insurance as a method to search for potential sellers and select their partners based on the information provided by insurance agents. During selling, agents purchase insurance as a method to protect themselves against potential risk. The insurance concept greatly simplifies the trading procedure in the open marketplace. The novelty of this proposal is that it ensures a dynamic trading environment while agents continue to seek maximum utility and being fully protected by insurance. Our experimental results confirm the feasibility of our approach.

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This paper reports on research that examined the effectiveness of introducing rhythmic concepts through an unfamiliar musical genre to Australian generalist prim my teacher education students. The genre selected was African music, in particular action songs, dance and instrumental improvisation. The methodologies of Orff, Kodaly and Dalcroze were taught through the repertoire of African music in order to foster a closer relationship between pedagogical theory and practice and to teach rhythm through cross-cultural engagement. Through analyses of questionnaire and interview data, it was demonstrated that African music had a positive effect on students' conjidence as non-specialists music teachers and enhanced their skills in staff, sol-fa, hand notation and performance. Also students were not only highly motivated to engage with this new musical genre, but also gained an increased understanding of African culture. It is argued that African music was perceived by students not so much as a "novelty", but as a source of genuine motivation, interest and enjoyment. Its potential for extending student understanding of rhythm as well as taking a significant step towards internationalizing the curriculum for a cohort of predominantly Anglo-Celtic, pre-service teachers is also explored.

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In this paper, we propose buying and selling models for agents to trade in the open multi-agent marketplace. Unlike auctions, we take into account of the fact that agents trading in such open environments has to maximize their profits and at the same time, protect themselves from fraud and deception. We attempt to address this issue by incorporating the element of trust and risk management into our proposed buying and selling model. During buying, agents learn to select their partners based on the trustworthiness of the potential partner as well as its personal risk attitude. During selling, agents learn to increase the chances of winning a deal by adjusting their profit rate, which is a measure that considers both trust and risk. The novelty of this proposal is that it ensures agents continuing to seek maximum expected utility in a dynamic trading environment. Our experimental results confirm the feasibility of our approach.