972 resultados para Beacon Localizzazione Advertising Mobile Test


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BACKGROUND: Contrast detection is an important aspect of the assessment of visual function; however, clinical tests evaluate limited spatial frequencies and contrasts. This study validates the accuracy and inter-test repeatability of a swept-frequency near and distance mobile app Aston contrast sensitivity test, which overcomes this limitation compared to traditional charts. METHOD: Twenty subjects wearing their full refractive correction underwent contrast sensitivity testing on the new near application (near app), distance app, CSV-1000 and Pelli-Robson charts with full correction and with vision degraded by 0.8 and 0.2 Bangerter degradation foils. In addition repeated measures using the 0.8 occluding foil were taken. RESULTS: The mobile apps (near more than distance, p = 0.005) recorded a higher contrast sensitivity than printed tests (p < 0.001); however, all charts showed a reduction in measured contrast sensitivity with degradation (p < 0.001) and a similar decrease with increasing spatial frequency (interaction > 0.05). Although the coefficient of repeatability was lowest for the Pelli-Robson charts (0.14 log units), the mobile app charts measured more spatial frequencies, took less time and were more repeatable (near: 0.26 to 0.37 log units; distance: 0.34 to 0.39 log units) than the CSV-1000 (0.30 to 0.93 log units). The duration to complete the CSV-1000 was 124 ± 37 seconds, Pelli-Robson 78 ± 27 seconds, near app 53 ± 15 seconds and distance app 107 ± 36 seconds. CONCLUSIONS: While there were differences between charts in contrast levels measured, the new Aston near and distance apps are valid, repeatable and time-efficient method of assessing contrast sensitivity at multiple spatial frequencies.

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Mobile advertising is a rapidly growing sector providing brands and marketing agencies the opportunity to connect with consumers beyond traditional and digital media and instead communicate directly on their mobile phones. Mobile advertising will be intrinsically linked with mobile search, which has transported from the internet to the mobile and is identified as an area of potential growth. The result of mobile searching show that as a general rule such search result exceed 160 characters; the dialog is required to deliver the relevant portion of a response to the mobile user. In this paper we focus initially on mobile search and mobile advert creation, and later the mechanism of interaction between the user’s request, the result of searching, advertising and dialog.

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Purpose: The purpose of this paper is to test the efficacy of disclosing unit pricing and increasing the type size of complex terms and conditions in advertising. This is in line with recommendations made by global telecommunications regulators, including in Australia, to protect consumers in selecting mobile plans.

Design/methodology/approach: The authors employed a 2 (unit price disclosed: no, yes)×3 (type size: nine-, 12- and 15-point terms and conditions) full factorial, between-subjects experimental design using a scenario and fictional advertisements for 24-month mobile phone plans. This was complemented by 24 in-depth interviews with consumers who had recently purchased “real” plans and their assessment of these.

Findings: Extra information in the form of unit pricing has a positive influence on consumers’ value perceptions, but not on perceived confusion or risk. Presenting complex terms and conditions in larger type increases consumers’ perceived confusion and risk, but not perceived value, as consumers have difficulty understanding the complicated information presented.

Research limitations/implications:
This study focused on a single country market for one product type of mobile phones, using a limited range of mobile plans. Practical implications: Public policymakers and providers are advised to pre-test planned changes to advertising’s informational content prior to implementation to identify the efficacy of proposed changes to protect consumers. Consumers may also need to be educated to accurately interpret complex plans.

Originality/value: The study contributes to the domain of informational content in advertising as a form of consumer protection. The effect of unit pricing and larger type for terms and conditions on consumer perceptions has not been examined previously in complex product settings.

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La diffusione di smartphone e dispostivi mobili a cui si è assistito nell’ultima decade ha portato con sé lo sviluppo di nuovi sistemi e tecnologie basate sulla localizzazione. Questi sistemi vengono chiamati Location Based Systems (LBS) ed il loro successo è stato reso possibile dai sensori come GPS, antenna WiFi e accelerometro che hanno permesso agli sviluppatori di creare contenuti e servizi basati sulla posizione dell’utente. Una delle tecnologie su cui si basano i LBS è chiamata Geofencing e consiste nella creazione di aree virtuali (dette geofence) per delimitare luoghi di interesse (Point of Interests) e notificare l’utente quando entra, esce o si trova nelle vicinanze di una delle aree delimitate. Questa caratteristica viene utilizzata soprattutto per realizzare applicazioni che ricordano all’utente di svolgere delle azioni, per esempio un’app di promemoria che ricorda all’utente di comprare il latte quando si trova vicino ad un supermercato. Dal punto di vista economico, uno degli utilizzi piu` promettenti `e il co- siddetto Context Aware Advertising: i possessori di dispositivi mobili che si trovano a camminare nelle vicinanze di un negozio o un centro commer- ciale possono essere considerati possibili clienti e ricevere delle notifiche con pubblicit`a o questionari. Nel seguente lavoro verrà analizzato nel dettaglio cos’è il Geofencing, le sue applicazioni e le tecnologie sulla quale si basa. Verranno presi in considerazione alcuni problemi relativi all’utilizzo delle tecnologie di posizionamento, con particolare attenzione ai consumi di batteria. Verrà inoltre descritta la progettazione e l’implementazione di una piattaforma che permette ai possessori di attività commerciali di creare e gestire dei POI nonché di monitorare gli spostamenti dei possibili clienti. Dopo aver installato l’applicazione mobile sul proprio smartphone, i clienti potranno ricevere notifiche una volta oltrepassati i confini di un geofence.

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This paper reports on a study that investigates the emotions elicited from appraising SMS-based mobile marketing (m-marketing) communications under three marketing conditions: product consistency, incentives and permission giving. Results from the experimental design show that appraising m-marketing communications elicits both single emotions and mixed emotions; that is, a mixture of positive and negative emotions in the same response. Additionally, the results show that the influence of specific marketing conditions may increase or reduce the intensity of the emotions elicited. This study contributes to marketing practice by examining consumer appraisals of m-marketing communications under different combinations of marketing conditions. The results provide insights into which emotions are likely to be elicited as a result, and how a specific marketing condition might influence their levels of intensity. The study contributes to marketing theory also through combining appraisal theory with Richins (1997) consumption emotion set.

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This paper reports on a Q-methodology study on the consumption of mobile phones and opinions on SMS-marketing, extracted from interpretive interviews and focus groups. The Metaphors Q-sort, developed within a framework of Holt's (1995) four metaphors of consumption, identifies three experiential value clusters in the consumption of mobile phones: the Mobile Pragmatists, the Mobile Connectors and the Mobile Revelers. The SMS-marketing Q-sort identifies two key clusters of subjective opinions on various aspects of SMS-based mobile-marketing. By integrating the findings from these two Q-sorts, we demonstrate that while all three value clusters express positive opinions towards ‘location specific’ and ‘customer initiated contact’ SMS-marketing, there are noticeable differences in how marketers should develop their strategies to maximize the consumers’ perceived experiential value derived from the consumption of their mobile phones. Keywords: mobile phones; experiential consumption: SMS-marketing; Q-methodology

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Although marketers have a strong interest in finding ways to engage with consumers through mobile phones, the everyday experiential, or affective consumption practices surrounding this technology have received limited attention in the literature. To address this limitation, we used appraisal theory, which specifies it is the way individuals appraise situations or events that elicit emotions. We conducted an experience sampling method study to explore the emotions that individuals experience during their interactions with and through their mobile phones and what situations or events elicit these emotions. The preliminary findings show a number of significant relationships between emotions and specfic clusters of situations and events. Additionally, age and gender were also important indicators. The research contributes to a deeper understanding of the experiential nature of mobile information technologies through consumers’ everyday-consumption-related emotions and the situations and events that elicit them.

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New mobile digital communication technologies present opportunities for advertisers to capitalize on the evolving relationships of consumers with their mobile devices and their desire to access enhanced information services while mobile (m-services). Consumers already use mobile devices (cell phones, personal mobile digital assistants) for traditional phone calls and message handling (e.g., Kalakota and Robinson, 2002; Sullivan Mort and Drennan, 2002). The combination of rapidly developing mobile digital technology and high uptake rates of mobile devices presents enormous potential for delivery of m-services through these devices (Bitner, Brown, and Meuter, 2000). M-services encompass a wide variety of types including the ability to trade stock, to book theater and movie tickets while accessing seating plans online, to send and receive text and pictures, and receive personalized direct advertising such as alerts for shopping bargains. Marketing communications, and specifically advertising, may be delivered as an m-service and termed m-services advertising, forming part of the broader category of m-services. However, advertising research has not yet addressed the area of m-services and needs to do so to be able to take advantage of the advanced interactivity (Yadav and Varadarajan, 2005) of mobile communication devices. Such advertising research is likely to help develop open attitudes and responses to new business models as has been advocated for other new technology such as advanced television (Tauder, 2005). In this article, we model the factors influencing the use of m-services, in the context of consumers' existing relationships with mobile devices. First, we address the value propositions underpinning consumer involvement with mobile devices. Next, we canvass the types of involvement relevant to this consumption domain and argue that involvement, together with personal attributes innovativeness and self-efficacy, will influence use of m-services. Finally, implications for advertising delivered as an m-service are discussed, the potential for m-services advertising as part of m-commerce are canvassed, and directions for future research identified.

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The growth of direct marketing has been attributed to rapid advances in techn ology and the changing market context. The fundamental ability of direct marketers to communicate with consumers and to elicit a response, combined with the ubiquitous nature and power of mobile digital technology, provides a synergy that will increase the potential for the success of direct marketing. The aim of this paper is to provide an analytical framework identifying the developments in the digital environment from e-marketing to m-marketing, and to alert direct marketers to the enhanced capabilities available to them.

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This study examines consumers' emotional responses to receiving viral mobile marketing communications in comparison to receiving mobile marketing communications where permission has not been given. The study also examines the relationship between these experienced emotions and what action tendencies consumers might consider as a result of these emotions, as well as how they attribute causality for their emotions. Using scenarios in an experimental design, the findings show that there are differences in consumer emotions as a result of the two marketing approaches. The findings also identify relationships between consumers' causal attributions and action tendencies in relation to themselves, the friend sending the viral m-marketing communication and the company involved.

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It has been recognised that brands play a role in industrial markets, but to date a comprehensive model of business-to-business (B2B) branding does not exist, nor has there been an empirical study of the applicability of a full brand equity model in a B2B context. This paper is the first to begin to address these issues. The paper introduces the Customer- Based Brand Equity (CBBE) model by Kevin Keller (1993; 2001; 2003), and empirically tests its applicability in the market of electronic tracking systems for waste management. While Keller claims that the CBBE pyramid can be applied in a B2B context, this research highlights challenges of such an application, and suggests changes to the model are required. Assessing the equity of manufacturers’ brand names is more appropriate than measuring the equity of individual product brands as suggested by Keller. Secondly, the building blocks of Keller’s model appear useful in an organisational context, although differences in the subdimensions are required. Brand feelings appear to lack relevance in the industrial market investigated, and the pinnacle of Keller’s pyramid, resonance, needs serious modifications. Finally, company representatives play a role in building brand equity, indicating a need for this human element to be recognised in a B2B model.

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This study employs BP neural network to simulate the development of Chinese private passenger cars. Considering the uncertain and complex environment for the development of private passenger cars, indicators of economy, population, price, infrastructure, income, energy and some other fields which have major impacts on it are selected at first. The network is proved to be operable to simulate the progress of chinese private passenger cars after modeling, training and generalization test. Based on the BP neural network model, sensitivity analysis of each indicator is carried on and shows that the sensitivity coefficients of fuel price change suddenly. This special phenomenon reveals that the development of Chinese private passenger cars may be seriously affected by the recent high fuel price. This finding is also consistent with facts and figures