14,496 research outputs found
Do Consumers Want More Nutritional and Health Information on Wine Labels? Insights from the EU and USA
The global strategy to reduce the harmful use of alcohol launched in 2010 by the
World Health Organization includes, amongst several areas of recommended actions, providing
consumer information about, and labelling, alcoholic beverages to indicate alcohol-related harm.
Labelling requirements worldwide for alcoholic drinks are currently quite diverse and somewhat
limited compared to labelling on food products and on tobacco. In this context, the current
paper contributes to the academic and political debate on the inclusion of nutritional and health
information on wine labelling, providing some insights into consumer interest in, and preferences
for, such information in four core wine-producing and -consuming countries: Italy, France, Spain,
and the United States of America. A rating-based conjoint analysis was performed in order to
ascertain consumer preferences for different formats of additional information on wine labels, and
a segmentation of the sample was performed to determine the existence of homogeneous groups of
consumers in relation to the degrees of usefulness attached to the nutritional and health information
on wine labels. Our results highlight the interest expressed by European and United States consumers
for introducing nutrition and health information on wine labels. However, the results of conjoint
analysis show some signi\ufb01cant differences among stated preferences of the information delivery
modes in different countries. In addition, segmentation analysis reveal the existence of signi\ufb01cant
differences between consumer groups with respect to their interest in receiving additional information
on wine labels. These differences are not only linked to the geographic origin of the consumers, or
to socio-demographic variables, but are also related to wine consumption habits, attitudes towards
nutritional information, and the degree of involvement with wine. This heterogeneity of consumer
preferences indicates a need for a careful consideration of wine labelling regulations and merits
further investigation in order to identify labelling guidelines in terms of the message content and
presentation method to be used
Referencial para a caracterização de websites de hotéis de acordo com as necessidades dos consumidores
Online presence is essential for tourism organisations, and the quality of websites can influence customers. In the case of hotels, there are many studies to evaluate website performance based on functionality, usability and other factors, much less on the amount of different information available to the consumer. In the near future by using Big Data it is expected that hotel websites will be dynamic, they will adapt themselves on-the-fly, showing personalized information to each consumer. Different consumers will have different websites (information? available) from the same hotel. This paper presents a framework for the characterisation of hotel websites, focusing on the amount of information available to the consumer in each website, which was applied in a case study during the last months of 2013 to the websites of five-star hotels that operate in the tourist region of the Algarve, Portugal. The framework allowed to identify a set of exhaustive indicators for hotel website characterisation, which were then grouped into ten fundamental information dimensions. These dimensions further fell into four dimension groups. Finally, it is presented and discussed quantitative and qualitative evaluations, that illustrates which indicators and dimensions are more often considered on hotel websites to satisfy the consumer?s information needs
Understanding the use of Virtual Reality in Marketing: a text mining-based review
The current study intends to highlight the most relevant studies in simulated realities with special attention to VR and marketing, showing how studies have evolved over time and discussing the findings. A text-mining approach using a Bayesian statistical topic model called latent Dirichlet allocation is employed to conduct a comprehensive analysis of 150 articles from 115 journals, all indexed in Web of Science. The findings reveal seven relevant topics, as well as the number of articles published over time, the authors most cited in VR papers and the leading journals in each topic. The article also provides theoretical and practical implications and suggestions for further research.info:eu-repo/semantics/acceptedVersio
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