Open Access
"The best" and "The least": cross-country cluster analysis of Instagram and tourism destinations
(Taylor and Francis Group, 2022) Aramendia Muneta, María Elena; Olarte-Pascual, Cristina; Gestión de Empresas; Enpresen Kudeaketa
The study provides an analysis of the key destination image attributes influencing the number of likes and comments by cross-country cluster on the basis of Stimulus-Organism-Response. The two main clusters are "the best" and "the least", measured by their success in numbers of likes or comments from Instagrammers. Photographs taken during daytime showing tourism or entertainment facilities and panoramic natural seascapes prevail in the successful cluster group. Photographs showing visitors interacting in daily life tourist activities of their destination, are common among the successful images. Presenting people and water impacts positively, whereas multi-images of countries and destinations lacking authenticity have the opposite effect. Overall, the results are consistent with the hypothesis that attributes in Instagram photographs are associated with the success of a country's image.
Open Access
Key image attributes to elicit likes and comments on Instagram
(Taylor & Francis, 2020) Aramendia Muneta, María Elena; Olarte-Pascual, Cristina; Ollo López, Andrea; Gestión de Empresas; Enpresen Kudeaketa; Institute for Advanced Research in Business and Economics - INARBE
This article spotlights the relationship between likes and com-ments and the content of tourism photographs on Instagramwith the aim of understanding users¿behavior and, thus, help-ing destination management organizations. Based on thestimulus-organism-response model, a content analysis wasconducted of 1,094 pictures that received 131,116,800 likesand 2,859,448 comments. By combining content analysis andregression analysis, the results show that Instagrammers¿responses are influenced differently by different picture attrib-utes, resulting in dissimilar behavior with regard to likes andcomments. Specifically, likes, as immediate reactions, tend tobe driven by content featuring people, views, or commonhabits. In contrast, comments, which require greater effort onthe part of the Instagrammer, are elicited by the topic of festi-vals or hotels, colors such as cream, green, orange, or yellow,images of water or animals, and images featuring tourist activ-ities, mostly at night. Multi-image or fake pictures negativelyimpact likes. By analyzing the content of the information pro-vided by the uploaded photographs, a typology of photo-graphic attributes is developed to offer clues for destinationmanagement organizations to enhance engagement withpotential customers and Instagram users.
Open Access
Gender stereotypes in original digital video advertising
(Taylor & Francis, 2019) Aramendia Muneta, María Elena; Olarte-Pascual, Cristina; Hatzithomas, Leonidas; Gestión de Empresas; Enpresen Kudeaketa
This exploratory study looks into gender stereotypes in original digital video advertising as an independent trend in the advertising industry worthy of a new avenue of research. Content analysis is performed on a judgemental sample of 324 original digital videos that have won awards from professional marketers. The results show that there is no statistically significant association between gender and any of the ten studied attributes (mode of presentation, credibility, role, age, argument type, reward type, product type, background, setting, and end comment). Although previous studies depicted men in male-authored science roles and with muscular physiques and women as objectified and a hypersexualized subordinate to the male, this research shows that women and men are equally portrayed in non-stereotypical activities and roles, However, central figures are more likely to be men than women, indicating a gender difference in terms of the assignment of main roles. This paper highlights the change in women’s roles as well as advertisers’ and marketers’ criteria for the content of original digital videos.

Aramendia Muneta, María Elena

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