930 resultados para Tourist advertising


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This study investigates e-mail marketing using data from a survey of 839 Finnish customers of an international cosmetics brand. E-mail marketing involves the use of e-mail to send promotions and information to customers. In this context we address two research questions: (1) What e-mail advertising factors drive visits to a physical (i.e., bricks-and-mortar) company sales outlet? and, (2) Does e-mail advertising influence brand satisfaction? Our findings indicate that useful e-mails can influence customers to visit the store. Further, brand satisfaction is positively influenced if e-mails are interesting and also by the amount of e-mail received by customers.

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One of the key issues in today’s competitive business environment advertising effectiveness. An important component to any advertising campaign or commercial is, whether or not it will be remembered. If a consumer cannot remember one’s brand name, how can one persuade them to buy it? Over the years, various techniques have been designed to measure the impact and effectiveness of advertisements, as well as how well they are remembered.

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MTV has had a key impact on advertising, not only from the point of view that commercials are aired during its programmes, but also because videos themselves can be viewed as advertisements. Music videos came about as a result of the music industry being in a recession during the early eighties. Initially MTV’s incentive to develop music television was advertiser led (Goodwin, 1992, p.38). One needs to remember that television is in the business to make money - not to entertain (Allen, 1992); and that viewers are in effect sold to the advertisers (White, 1992), and MTV is an influential media forces on their targets audience of between the ages twelve and thirty-four, with a median age of twenty-three (Englis et al., 1994). The reason why MTV is such an effective advertising medium, is that it utilises music, mood, visual elements, popular culture and the socialising effect of television, to sell its message in a susceptible/ passive manner. Its primary goal is to promote the artist or band performing in the video clip, so that consumers will purchase their CDs, as well as other band related products. But more often than not, the video clip sells much more than just that. Lifestyles, fashion, cosmetics, cars, consumer and social behaviour are all promoted in an unsuspecting manner. Advertisers, as a result, have looked to MTV for ideas on how to better communicate with the youth market; adopting similar styles to get their message across. The following looks at how and why, the fusion of MTV and advertising works so well together by considering past research.

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In this article we examine how a consumer's susceptibility to informative influence (SII) affects the effectiveness of consumer testimonials in print advertising. More specifically, we show that consumers that are high in SII and that seek consumption-relevant information from other people are more influenced by the strength of the testimonial information than the strength of the attribute information. Conversely, consumers low in SII place greater emphasis on the strength of the attribute information when forming their evaluations. Our results show that consumer psychological traits can have an important impact on the acceptance of testimonial advertising. Theoretical and managerial implications of our findings are discussed.

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A great challenge exists today: how to reach youth (a.k.a. the iYGeneration) who consume multiple media concurrently, who can access information on demand, and who have intertwined virtual social media networks in their lives. Our research finds that Australian youth multi-task and rarely use traditional media, although significant differences between males and females, as well as late tweens and 20-somethings, exist. Technology convergence facilitates two-way dialogue, allowing growing social interactions to occur in their technological environments. Our findings show that in order for marketing communication professionals to effectively communicate with this market, it is crucial to know exactly how the iYGeneration use media, which media they use, and when they use it.

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The last three decades have seen consumers’ environmental consciousness grow as the environment has moved to a mainstream issue. Results from our study of green marketing blog site comments in the first half of 2009 finds thirteen prominent concepts: carbon, consumers, global and energy were the largest themes, while crisis, power, people, water, fuel, product, work, time, water, organic, content and interest were the others. However sub issues were also identified, as the driving factor of this information is coming from consumer led social networks. While marketers hold some power, consumers are the real key factor to possess influence for change. They want to drive change and importantly, they have the power. Power to the people.

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This report provides an overview of trends in digital media over the period from 2009-2015. It applies scenario analysis to provide foresight on macro trends in the economy, politics, society and culture that will impact upon digital media market development in Australia, and the prospects for growth in online and digital media industries. It considers developments in the diffusion of innovations in advertising and marketing, mobile media, user-created content, and legal issues for consumers engaging in online transactions.

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Franchising has been widely accepted as an effective way to conduct and expand businesses. However, a franchise system is not a guarantee of success in the market. A successful franchise system should rely on a close and strong franchising relationship. Franchising is an important relationship management business. Franchising arrangements normally last for a number of years, so the franchisor and franchisee in the arrangement relationship are usually motivated to cooperate with each other. In addition, highly loyal franchisees may be obtained through a successful long-term franchising relationship. Over the last few decades, there has been a tremendous wave of interest in franchising relationships. However, little research has been conducted to determine the reasons for long-term franchising relationships. As a result, this study focuses on the important elements that might lead to a successful long-term franchising relationship. This study attempts to examine empirically three essential constructs (relationship quality, cooperation and customer loyalty), which might lead to successful long-term franchising relationships between franchisees and franchisors among the convenience stores in Taiwan. Mailed questionnaires were utilised to collect the research data. A total of 500 surveys were mailed randomly to the manager/supervisor of convenience stores’ franchisees among the four main franchisors (7-ELEVEN, Family, Hi-Life and OK) in Taiwan. The final sample size is 120, yielding a response rate of 24 per cent. The results show that relationship quality positively influences the cooperative relationships between franchisors and franchisees. Relationship quality is also positively correlated with franchisees’ loyalty. Additionally, the results indicate that the cooperative relationships between franchisors and franchisees are significantly associated with franchisees’ loyalty.

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Brand loyalty is a concept that has garnered considerable interest over recent years from both marketing practitioners and academics alike. While marketers are primarily interested in ways they can generate and increase brand loyalty from their customers, academics strive to conducts research which investigates the antecedents and consequences of customer loyalty (See DeWitt, Nguyen and Marshall 2008; Russell-Bennett, McColl-Kennedy and Coote 2007).

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Cooperative collision warning system for road vehicles, enabled by recent advances in positioning systems and wireless communication technologies, can potentially reduce traffic accident significantly. To improve the system, we propose a graph model to represent interactions between multiple road vehicles in a specific region and at a specific time. Given a list of vehicles in vicinity, we can generate the interaction graph using several rules that consider vehicle's properties such as position, speed, heading, etc. Safety applications can use the model to improve emergency warning accuracy and optimize wireless channel usage. The model allows us to develop some congestion control strategies for an efficient multi-hop broadcast protocol.

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Young adults are at the greatest risk of experiences road trauma disproportionately to those in other age groups. While the influence of peers is commonly associated with motor vehicle crashes and injury few studies examine whether their influence can be positive. In particular friends may be able to actively intervene to reduce the likelihood of risky driving (e.g. speeding, drink driving or drug driving) and alcohol use. The aim of this paper is to conduct a systematic review on intervening in risky driving behaviour including the situations in which it is likely or unlikely to occur, factors associated with individuals who might or report having intervened and any evaluated programs that make use of such strategies. In addition a study was conducted with 247 first year university students (32% males) to examine whether young adults report engaging in protective behaviour with their peers in South-east Queensland. In particular, if they intervene if their friends are about to drive after drinking, drive after taking illicit drugs or when speeding. It examines any differences in reported likelihood of discouraging such illegal and dangerous behaviour (in the past 12 months prior to the survey). Findings showed that young adults (17-25 years) did indeed report protective behaviour in relation to friends’ drink driving, drug driving, speeding and binge drinking. Conclusions will be drawn regarding important considerations in developing positive strategies and advertising campaigns that encourage positive behaviours (e.g. ‘don’t let mates drink and drive’).

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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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This paper reports findings from a study investigating the effect of integrating sponsored and nonsponsored search engine links into a single web listing. The premise underlying this research is that web searchers are chiefly interested in relevant results. Given the reported negative bias that web searchers have concerning sponsored links, separate listings may be a disservice to web searchers as it might not direct them to relevant websites. Some web meta-search engines integrate sponsored and nonsponsored links into a single listing. Using a web search engine log of over 7 million interactions from hundreds of thousands of users from a major web meta-search engine, we analysed the click-through patterns for both sponsored and nonsponsored links. We also classified web queries as informational, navigational and transactional based on the expected type of content and analysed the click-through patterns of each classification. The findings show that for more than 35% of queries, there are no clicks on any result. More than 80% of web queries are informational in nature and approximately 10% are transactional, and 10% navigational. Sponsored links account for approximately 15% of all clicks. Integrating sponsored and nonsponsored links does not appear to increase the clicks on sponsored listings. We discuss how these research results could enhance future sponsored search platforms.

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Modern Engineering Asset Management (EAM) requires the accurate assessment of current and the prediction of future asset health condition. Appropriate mathematical models that are capable of estimating times to failures and the probability of failures in the future are essential in EAM. In most real-life situations, the lifetime of an engineering asset is influenced and/or indicated by different factors that are termed as covariates. Hazard prediction with covariates is an elemental notion in the reliability theory to estimate the tendency of an engineering asset failing instantaneously beyond the current time assumed that it has already survived up to the current time. A number of statistical covariate-based hazard models have been developed. However, none of them has explicitly incorporated both external and internal covariates into one model. This paper introduces a novel covariate-based hazard model to address this concern. This model is named as Explicit Hazard Model (EHM). Both the semi-parametric and non-parametric forms of this model are presented in the paper. The major purpose of this paper is to illustrate the theoretical development of EHM. Due to page limitation, a case study with the reliability field data is presented in the applications part of this study.

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Hazard and reliability prediction of an engineering asset is one of the significant fields of research in Engineering Asset Health Management (EAHM). In real-life situations where an engineering asset operates under dynamic operational and environmental conditions, the lifetime of an engineering asset can be influenced and/or indicated by different factors that are termed as covariates. The Explicit Hazard Model (EHM) as a covariate-based hazard model is a new approach for hazard prediction which explicitly incorporates both internal and external covariates into one model. EHM is an appropriate model to use in the analysis of lifetime data in presence of both internal and external covariates in the reliability field. This paper presents applications of the methodology which is introduced and illustrated in the theory part of this study. In this paper, the semi-parametric EHM is applied to a case study so as to predict the hazard and reliability of resistance elements on a Resistance Corrosion Sensor Board (RCSB).