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Asli D.A. Tasci
Researcher at University of Central Florida
Publications - 109
Citations - 4322
Asli D.A. Tasci is an academic researcher from University of Central Florida. The author has contributed to research in topics: Tourism & Brand equity. The author has an hindex of 26, co-authored 100 publications receiving 3336 citations. Previous affiliations of Asli D.A. Tasci include University of Florida & Hong Kong Polytechnic University.
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Destination Image and Its Functional Relationships
TL;DR: A comprehensive conceptualization of destination image comprising its intricate relationships with several other factors on the supply and demand sides of the market has yet to emerge as discussed by the authors, and it was concluded that there are still many facets of this complex construct yet to be investigated empirically.
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Conceptualization and Operationalization of Destination Image
TL;DR: In this paper, the evolutionary nature of tourism destination image studies from both theoretical and operational perspectives is examined, and necessary adjustments in the methodological rigor and the focus of inquiry for destination image research are offered using Echtner and Ritchie's review as a guide.
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Destination brands vs destination images: Do we know what we mean?:
Asli D.A. Tasci,Metin Kozak +1 more
TL;DR: A review of the literature on branding in general, and on destination branding more specifically, raises several questions about the branding of tourist destinations as mentioned in this paper, and it is clear that confusio...
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Measurement of destination brand bias using a quasi-experimental design
TL;DR: In this article, a modified version of Gensch's methodology is used to measure three different spaces of destination image and identify potential biases in it, and the results show that the applied methodology can be used effectively in measuring the negative bias in the images of tourism destination brands.
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Large sample size, significance level, and the effect size: Solutions to perils of using big data for academic research
TL;DR: In this article, the authors present a guide to inform tourism and hospitality academia of the effect size measures for the most commonly used statistical tests, which can be used to report the practical significance of these measures.