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Mar Gómez

Researcher at University of Castilla–La Mancha

Publications -  29
Citations -  1238

Mar Gómez is an academic researcher from University of Castilla–La Mancha. The author has contributed to research in topics: Tourism & Brand equity. The author has an hindex of 16, co-authored 29 publications receiving 936 citations. Previous affiliations of Mar Gómez include Autonomous University of Chile.

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A destination-branding model: An empirical analysis based on stakeholders

TL;DR: In this paper, the authors developed a destination-branding model based on stakeholders' interests and applied it to Castilla-La Mancha (CLM), thereby creating an index that measures destination branding success based on similarities and differences among the different stakeholders.
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Tourism marketing information and destination image management

TL;DR: In this paper, the authors identify those destination features which contribute to build a positive destination image and analyze the relationship between those features and the image induced by brochures, based on previous research on the impact of tourist information sources in destination promotion.
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An integrated model of social media brand engagement

TL;DR: The findings could help firms better manage their social media tools in the context of social media communication and could help companies to gain competitive advantages.
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A model of tourism destination brand equity: the case of wine tourism destinations in Spain.

TL;DR: In this paper, a model for the influence of the designation of origin (DO) brand image and the destination image on the brand equity of wine tourism destinations and examining these effects on two stakeholder groups, winery managers and winery visitors, was proposed.
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Examining consumer luxury brand-related behavior intentions in a social media context: The moderating role of hedonic and utilitarian motivations.

TL;DR: This study provides recommendations to luxury brands to understand the nature of consumer involvement and brand-customer relationship in order to forecast the behavioral intention of their consumers more accurately.