845 resultados para Social exposure


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This thesis examines the effectiveness of offences in the Copyright Act 1968 (Cth) in the online environment. The application of social norm theories suggests that the offences will be ineffective in creating an effective deterrent to non-commercial copyright infringement.

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Background The association between temperature and mortality has been examined mainly in North America and Europe. However, less evidence is available in developing countries, especially in Thailand. In this study, we examined the relationship between temperature and mortality in Chiang Mai city, Thailand, during 1999–2008. Method A time series model was used to examine the effects of temperature on cause-specific mortality (non-external, cardiopulmonary, cardiovascular, and respiratory) and age-specific non-external mortality (<=64, 65–74, 75–84, and > =85 years), while controlling for relative humidity, air pollution, day of the week, season and long-term trend. We used a distributed lag non-linear model to examine the delayed effects of temperature on mortality up to 21 days. Results We found non-linear effects of temperature on all mortality types and age groups. Both hot and cold temperatures resulted in immediate increase in all mortality types and age groups. Generally, the hot effects on all mortality types and age groups were short-term, while the cold effects lasted longer. The relative risk of non-external mortality associated with cold temperature (19.35°C, 1st percentile of temperature) relative to 24.7°C (25th percentile of temperature) was 1.29 (95% confidence interval (CI): 1.16, 1.44) for lags 0–21. The relative risk of non-external mortality associated with high temperature (31.7°C, 99th percentile of temperature) relative to 28°C (75th percentile of temperature) was 1.11 (95% CI: 1.00, 1.24) for lags 0–21. Conclusion This study indicates that exposure to both hot and cold temperatures were related to increased mortality. Both cold and hot effects occurred immediately but cold effects lasted longer than hot effects. This study provides useful data for policy makers to better prepare local responses to manage the impact of hot and cold temperatures on population health.

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Purpose The social marketing literature tends to focus on upstream marketing (policy) and downstream (individual behaviour change) and has a limited view on midstream (working with partners and community groups) social marketing. The paper proposes midstream social marketing should also include an understanding of how services and service employees influence and support individual behaviour change goals. The paper presents four key services marketing principles - derived from services theory and thinking - which the paper believes to be essential for implementing effective midstream social marketing. Design/methodology/approach This is a conceptual paper that uses service theory and case-examples to show how service thinking can be used as a midstream social marketing approach. Findings For effective uptake and impact of social marketing services amongst people and populations, social marketers need to design programs that consider the service experience, the service employee, service quality/customer value and the active role of the customer in value creation. Research limitations/implications Services marketing is a well-established sub-discipline of marketing which, until recently, has not interacted with social marketing. The extension and application of services theory for social marketing can enrich and propel the social marketing discipline forward. Further research is recommended to evaluate how service principles can be applied in practice. Social implications Given that social marketing services tend not to be accessed in sufficient numbers by the people who most need them, social marketers need to think beyond the technical, cognitive, and organisational-focused goals when designing social services. Originality/value This paper identifies key service theories that social marketers should understand and use and is thus a source of fresh ideas for theory and practice.

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Purpose The purpose of this paper is to investigate the role of multiple actors in the value creation process for a preventative health service, and observe the subsequent impact on key service outcomes of satisfaction and customer behaviour intentions to use a preventative health service again in the future. Design/methodology/approach An online self-completion survey of Australian women (n=797) was conducted to test the proposed framework in the context of a free, government-provided breastscreening service. Data were analysed using Structural Equation Modelling (SEM). Findings The findings indicate that functional and emotional value are created from organisational and customer resources. These findings indicate that health service providers and customers are jointly responsible for the successful creation of value, leading to desirable outcomes for all stakeholders. Practical implications The results highlight to health professionals the aspects of service that can be managed in order to create value with target audiences. The findings also indicate the importance of the resources provided by users in the creation of value, signifying the importance of customer education and management. Originality/value This study provides a significant contribution to social marketing through the provision of an empirically validated model of value creation in a preventative health service. The model demonstrates how the creation and provision of value can lead to the achievement of desirable social behaviours - a key aim of social marketing.

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Online dating websites enable a specific form of social networking and their efficiency can be increased by supporting proactive recommendations based on participants' preferences with the use of data mining. This research develops two-way recommendation methods for people-to-people recommendation for large online social networks such as online dating networks. This research discovers the characteristics of the online dating networks and utilises these characteristics in developing efficient people-to-people recommendation methods. Methods developed support improved recommendation accuracy, can handle data sparsity that often comes with large data sets and are scalable for handling online networks with a large number of users.