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The main goal of our research is to analyse users' acceptance of Quick response (QR) code mobile payment systems, considering the population's widespread use of mobile devices. A comprehensive review of the scientific literature has justified the development of a behavioural model that explains intention to use of mobile payment via QR. To this end, the authors have carried out a study through an online survey to a national panel of Internet users. The results show that attitude, innovation and subjective norms are determinants of the future intention to use this technology. The conclusions and implications for management provide alternatives for companies to promote this new business by means of the new technical developments. This paper is a pioneer study of intention to use with mobile payment via QR. Classic variables from the Technology Acceptance Model (TAM), as well as variables from other recent studies, were used as models for this research (compatibility, security, personal innovation and individual mobility).

The rapid growth of mobile technology among the world's population has led many companies to attempt to exploit mobile devices as an additional tool in the business of sales. In this sense, the main objective of our study resides in comparing the factors that determine the acceptance by consumers of the SMS (Short Message Service) and NFC (Near Field Communication) mobile payment systems as examples of means of future payment. The model used in our research applies the classic variables of the Technology Acceptance Model, as well as that of Perceived Security, a model deriving from the review of the major relevant recent literature. The results achieved in this study demonstrate that there are differences in the factors that determine the acceptance in each of the systems, as well as the level of the Intention to Use. Finally, we highlight the main implications for management and cite some strategies to reinforce this new business in the context of new technical developments.

Web-based surveys, Electronic studies, Personalization of invitations, Frequency of messages, Response rate, Response quality,

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Sponsorships have become one of the most important marketing tools. Data show that a majority of sporting events is sponsored and that investment in sponsorship is increasing every year. Companies are demanding more research to better understand their investment efficacy. Involvement is a key element in processing sponsorship information in consumers' minds. This variable affects consumer behavior and moderates the sponsor image transfer. The study of involvement could give guidance for the design of appropriate and functional advertising campaigns. The research proposes segmenting and modelling sport consumer behaviour in sponsorship by their level of involvement with the event. For this task, we propose a model for image transfer between the sponsored entity and the sponsor. Using Finite Mix Partial Least Square methods, two sample segments are achieved. The data were obtained with a web banner during an international tennis event. In conclusion, the least involved individuals do not process the image transfer effect, as opposed to the individuals who are more involved. In the theoretical field, this paper is the first to include segmentation by Finite Mix in sponsorship research. Finally, attraction and involvement strategies are proposed based on the characteristics for each of the variables in this model, for example, regular meetings for fans, autograph signings and weekly chat sessions on the web site. This study provides guidance for companies about how to increase their customers' willingness to purchase, how to improve their image, how to increase supporters' involvement and finally, how to design effective communication for supporters according to their level of involvement.