975 resultados para Promotional messages


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Enterprise social networks (ESNs) often fail if there are few or no contributors of content. Promotional messages are among the common interventions used to improve participation. While most users only read others’ content (i.e. lurk), contributors who create content (i.e. post) account for only 1% of the users. Research on interventions to improve participation across dissimilar groups is scarce especially in work settings. We develop a model that examines four key motivations of posting and lurking. We employ the elaboration likelihood model to understand how promotional messages influence lurkers’ and posters’ beliefs and participation. We test our model with data collected from 366 members in two corporate Google⁺ communities in a large Australian retail organization. We find that posters and lurkers are motivated and hindered by different factors. Promotional messages do not – always – yield the hoped-for results among lurkers; however, they do make posters more enthusiastic to participate.

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This thesis investigated the phenomenon of underutilised Enterprise social networks (ESNs). Guided by established theories, we identified key reasons that drive ESN members to either post (i.e., create content) or lurk (i.e., read others' content) and examined the influence of three management interventions - aim to boost participation - on lurkers' and posters' beliefs and participation. We test our model with data collected from 366 members in Google⁺ communities in a large Australian retail organization. We find that posters and lurkers are motivated and hindered by different factors. Moreover, management interventions do not – always – yield the hoped-for results among lurkers.

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Dissertação de Mestrado apresentada ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Marketing Digital, sob orientação do Mestre Paulo Gonçalves e da Doutora Madalena Vilas Boas Esta versão não contém as críticas e sugestões dos elementos do júri

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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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Viral marketing is a form of peer-to-peer communication in which individuals are encouraged to pass on promotional messages within their social networks. Conventional wisdom holds that the viral marketing process is both random and unmanageable. In this paper, we deconstruct the process and investigate the formation of the activated digital network as distinct from the underlying social network. We then consider the impact of the social structure of digital networks (random, scale free, and small world) and of the transmission behavior of individuals on campaign performance. Specifically, we identify alternative social network models to understand the mediating effects of the social structures of these models on viral marketing campaigns. Next, we analyse an actual viral marketing campaign and use the empirical data to develop and validate a computer simulation model for viral marketing. Finally, we conduct a number of simulation experiments to predict the spread of a viral message within different types of social network structures under different assumptions and scenarios. Our findings confirm that the social structure of digital networks play a critical role in the spread of a viral message. Managers seeking to optimize campaign performance should give consideration to these findings before designing and implementing viral marketing campaigns. We also demonstrate how a simulation model is used to quantify the impact of campaign management inputs and how these learnings can support managerial decision making.

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As chamadas promocionais são consideradas como um comercial da emissora. Através delas, o conteúdo da programação é divulgado para persuadir o público a assistir os programas. Esta investigação identificou que o uso de apelos verbais e visuais, aproxima as chamadas da linguagem publicitária. No entanto, as semelhanças com a publicidade não se dão no momento da exibição das peças. Baseando-se no conceito de redundância proposto pela Teoria da Informação e na Teoria da Aprendizagem da Mensagem, de Carl Hovland, a pesquisa realizou um estudo de caso das duas primeiras temporadas de A FAZENDA, exibidas na Rede Record de Televisão. Pôde-se concluir que as chamadas do reality show não foram exibidas de acordo com os conceitos publicitários de GRP, cobertura e frequência, desperdiçando o espaço dos breaks e causando superexposição das mensagens autopromocionais.

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Consumers face enormous amounts of promotional messages daily whereas the pharmaceutical companies among other industries spend considerable time and money developing effective advertising strategies. There are multiple possible ways to appeal the target customer in order to increase the effectiveness of the advertisement. In spite of the various possibilities to categorize persuasive communication, the informational and the emotional appeals are the typical approaches. This study assesses the influence of the informational and emotional advertising appeals on the advertising effectiveness in the context of OTCs in Finland. The research method applied in this study is a quantitative survey. The data consists of 461 responses from the target population of 18–80 years old Finnish speaking consumers. The results from the marketing research indicate that the positive correlations of the emotional appeals are much stronger than the positive correlations of the informational appeals relating to the advertising effectiveness. However, on average the Finnish consumers experience the OTC advertisements relying on the informational appeals more effective than the OTC advertisements relying on the emotional appeals. Furthermore, within emotional appeals there is a much greater variety in the experienced advertising effectiveness not providing as stabile and consistent experienced advertising effectiveness compared to the informational appeals. Thus, the OTC advertisement relying more on the emotional appeals are much more risky in terms of advertising effectiveness. There are also differences with the experienced advertising effectiveness between the Finnish consumer groups and the information can be utilised when designing tailored OTC advertisements. The Finnish men consider humorous advertisements more effective than the Finnish women. In addition, the people living outside Uusimaa Region experience higher advertising effectiveness with the advertisements relying more on the informational advertisements compared to the people living in Uusimaa Region. In similar vein, the people with lower education experience higher advertising effectiveness with the advertisements relying more on the informational advertisements compared to the people with high education. Additionally, the older generation perceive an OTC advertisement with a middle-aged celebrity more effective than the younger consumers

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This study assessed the revised Behavioural Inhibition System (BIS), as conceptualised by Gray and McNaughton’s (2000) revised RST, by exposing participants to a loss-framed road safety message (emphasising the negative consequences of speeding behaviour) and a high performance motor vehicle promotional advertisement. Licensed young drivers (N = 40, aged 17–25 years) were randomly allocated to view either the message or both the message and advertisement. Participants then completed a computerised lexical decision task prior to completing three personality measures: Corr-Cooper RST-PQ, CARROT and Q-Task. It was predicted that those with a stronger BIS would demonstrate greater processing of these mixed message cues compared to weaker BIS individuals, and that this BIS effect would only be observed in the mixed cues condition (due to simultaneous activation of the incentive and punishment systems). Preliminary findings will be discussed in the context of the influence of personality traits on health message processing.

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This study sought to improve understanding of the persuasive process of emotion-based appeals not only in relation to negative, fear-based appeals but also for appeals based upon positive emotions. In particular, the study investigated whether response efficacy, as a cognitive construct, mediated outcome measures of message effectiveness in terms of both acceptance and rejection of negative and positive emotion-based messages. Licensed drivers (N = 406) participated via the completion of an on-line survey. Within the survey, participants received either a negative (fear-based) appeal or one of the two possible positive appeals (pride or humor-based). Overall, the study's findings confirmed the importance of emotional and cognitive components of persuasive health messages and identified response efficacy as a key cognitive construct influencing the effectiveness of not only fear-based messages but also positive emotion-based messages. Interestingly, however, the results suggested that response efficacy's influence on message effectiveness may differ for positive and negative emotion-based appeals such that significant indirect (and mediational) effects were found with both acceptance and rejection of the positive appeals yet only with rejection of the fear-based appeal. As such, the study's findings provide an important extension to extant literature and may inform future advertising message design.

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With the widespread applications of electronic learning (e-Learning) technologies to education at all levels, increasing number of online educational resources and messages are generated from the corresponding e-Learning environments. Nevertheless, it is quite difficult, if not totally impossible, for instructors to read through and analyze the online messages to predict the progress of their students on the fly. The main contribution of this paper is the illustration of a novel concept map generation mechanism which is underpinned by a fuzzy domain ontology extraction algorithm. The proposed mechanism can automatically construct concept maps based on the messages posted to online discussion forums. By browsing the concept maps, instructors can quickly identify the progress of their students and adjust the pedagogical sequence on the fly. Our initial experimental results reveal that the accuracy and the quality of the automatically generated concept maps are promising. Our research work opens the door to the development and application of intelligent software tools to enhance e-Learning.

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Exposure of the skin to sunlight can cause skin cancer and is also necessary for cutaneous vitamin D production. Media reports have highlighted the purported health benefits of vitamin D. Our aim was to examine attitudes and behaviours related to sun protection and vitamin D. A cross-sectional study of 2,001 residents in Queensland, Australia aged 20-70 years was undertaken. Information collected included: skin cancer risk factors; perceptions about levels of sun exposure required to maintain vitamin D; belief that sun protection increases risk of vitamin D deficiency; intention, and actual change in sun protection practices for adults and children. Multivariate models examined predictors of attitudinal and behavioural change. One-third (32%) believed a fair-skinned adult, and 31% thought a child required at least 30 minutes per day in summer sun to maintain vitamin D levels. Reductions in sun protection were reported by 21% of adults and 14% of children. Factors associated with belief that sun protection may result in not obtaining enough vitamin D included aged ≥ 60 years (OR=1.35, 95% CI 1.09-1.66) and having skin that tanned easily (OR=1.96, 95% CI 1.38-2.78). Participants from low income households, and those who frequently used sun protective clothing were more likely to have reduced sun protection practices (OR=1.33, 95% CI 1.10-1.73 and OR=1.73, 95% CI 1.36-2.20, respectively). This study provides evidence of reductions in sun protection practices in a population living in a high UV environment. There is an urgent need to re-focus messages regarding sun exposure and for continued sun protection practices.

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Vehicular ad hoc network (VANET) is a wireless ad hoc network that operates in a vehicular environment to provide communication between vehicles. VANET can be used by a diverse range of applications to improve road safety. Cooperative collision warning system (CCWS) is one of the safety applications that can provide situational awareness and warning to drivers by exchanging safety messages between cooperative vehicles. Currently, the routing strategies for safety message dissemination in CCWS are scoped broadcast. However, the broadcast schemes are not efficient as a warning message is sent to a large number of vehicles in the area, rather than only the endangered vehicles. They also cannot prioritize the receivers based on their critical time to avoid collision. This paper presents a more efficient multicast routing scheme that can reduce unnecessary transmissions and also use adaptive transmission range. The multicast scheme involves methods to identify an abnormal vehicle, the vehicles that may be endangered by the abnormal vehicle, and the latest time for each endangered vehicle to receive the warning message in order to avoid the danger. We transform this multicast routing problem into a delay-constrained minimum Steiner tree problem. Therefore, we can use existing algorithms to solve the problem. The advantages of our multicast routing scheme are mainly its potential to support various road traffic scenarios, to optimize the wireless channel utilization, and to prioritize the receivers.