Investigaciones

Understanding destination brand experience through data mining and machine learning

This research formalises a new methodology to measure and analyse Destination Brand Experience, improving upon traditional approaches by offering greater objectivity and rigour. Adopting a case study approach, five distinct and complementary types of analysis have been conducted: comprehensive sentiment analysis and topic modelling, an analysis using multiple thesauri, statistical analyses for hypothesis testing, and …

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Impact of perceived value on intention to use voice assistants: The moderating effects of personal innovativeness and experience

Voice assistants (VAs), such as Alexa, Siri, and Google Assistant, are instruments increasingly used by consumers to perform daily tasks. The objectives of the present study are to examine the antecedents of consumers’ continuance intention to use VAs and the moderating effects of personal innovativeness and experience. Based on behavioral reasoning theory, a research model …

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Residents’ willingness to become peer-to-peer tourism experience providers in mass tourism destinations

In this article we explore residents’ willingness to become peer-to-peer (P2P) tourism experience providers. Grounded in the theory of planned behaviour (TPB) and the self-determination theory (SDT), we put forward a model relating residents’ willingness and their attitude towards such experiences, their resources and capabilities, their perceptions of P2P tourism experiences and their intrinsic and …

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Exploring the antecedents of customers’ willingness to use service robots in restaurants

This study examines the willingness of customers to accept, and their intention to recommend, the services provided by service robots in restaurants. A mixed-methods research approach was taken to evaluate a theoretical model based on behavioural reasoning theory (BRT). The results demonstrated the important influence of positive attitudes and objections to the use of service …

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Exploring the effect of relative advantage and challenge on customer engagement behavior with mobile commerce applications

This study shows that relative advantage and perceived challenge positively influence customer perceptions of enjoyment and control, which leads to higher customer engagement behavior. Customers’ perceived enjoyment was also found to mediate the relationship between perceived relative advantage, perceived challenge, and three customer engagement dimensions (i.e., co-developing, influencing, and mobilizing behavior). By studying the factors …

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Determinants and risks of intentions to use mobile applications in museums: an application of fsQCA

https://www.tandfonline.com/doi/full/10.1080/13683500.2020.1780200 This research aims to analyse the complexity of the factors that influence intentions to use advanced mobile applications (apps) based on smart technologies like beacons in which tourists can access information through their smartphones while visiting a museum based in the localization. A total of 542 individuals participated in an experiment…

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