Author
Seyhmus Baloglu
Other affiliations: University of Nevada, Reno, Virginia Tech
Bio: Seyhmus Baloglu is an academic researcher from University of Nevada, Las Vegas. The author has contributed to research in topics: Tourism & Loyalty. The author has an hindex of 42, co-authored 85 publications receiving 11319 citations. Previous affiliations of Seyhmus Baloglu include University of Nevada, Reno & Virginia Tech.
Topics: Tourism, Loyalty, Hospitality, Personality, Consumer behaviour
Papers published on a yearly basis
Papers
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TL;DR: A major finding was that a destination image is formed by both stimulus factors and tourists' characteristics, which provides important implications for strategic image management and can aid in designing and implementing marketing programs for creating and enhancing tourism destination images.
2,817 citations
TL;DR: In this article, the authors examined the applicability of Russel and his colleagues' proposed affective space structure to large-scale environments (i.e., tourism destination countries) as well as its potential as a positioning structure to study affective images of tourism destinations.
Abstract: The destination image and positioning studies in tourism have been limited to those dealing with the image's perceptual or cognitive component. This study examined the applicability of Russel and his colleagues' proposed affective space structure to large-scale environments (i.e., tourism destination countries) as well as its potential as a positioning structure to study affective images of tourism destinations. The multidimensional scaling analysis of 11 Mediterranean countries along with proposed affective space structure indicated that Russel and his colleagues' proposed affective space can also be applied to places that are not perceived directly. It also showed potential for studying the affective image positioning of tourism destinations. The article concludes with some theoretical and practical implications and future research areas regarding tourism destination images.
966 citations
TL;DR: In this article, the authors examined structured and unstructured images of selected Mediterranean destinations (Turkey, Egypt, Greece and Italy) as perceived by US-based travel intermediaries.
644 citations
TL;DR: In this article, the authors examined empirical information to develop a destination brand model by employing customer-based brand equity models through a scale purification process, ensuring its reliability and validity.
630 citations
TL;DR: In this article, the relationship between push and pull motivations for overseas pleasure travel has been studied for a German sample of 1,212 respondents and the information generated from this analysis could provide significant insight and marketing advantage when segmenting travellers, designing promotional programs and packages, and in making decisions about destination product development.
Abstract: Evaluates a technique which allows the simultaneous examination of push and pull motivations. The relationship between these two motivations for overseas pleasure travel has been studied for a German sample of 1,212 respondents. Argues that the information generated from this analysis could provide significant insight and marketing advantage when segmenting travellers, designing promotional programmes and packages, and in making decisions about destination product development.
485 citations
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01 Jan 2016
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Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.
14,604 citations
01 Jan 2001
TL;DR: A wide variety of media can be used in learning, including distance learning, such as print, lectures, conference sections, tutors, pictures, video, sound, and computers.
Abstract: A wide variety of media can be used in learning, including distance learning, such as print, lectures, conference sections, tutors, pictures, video, sound, and computers. Any one instance of distance learning will make choices among these media, perhaps using several.
2,940 citations
TL;DR: In this paper, an integrated approach to understand tourist motivation and attempts to extend the theoretical and empirical evidence on the causal relationships among the push and pull motivations, satisfaction, and destination loyalty is presented.
2,831 citations
TL;DR: A major finding was that a destination image is formed by both stimulus factors and tourists' characteristics, which provides important implications for strategic image management and can aid in designing and implementing marketing programs for creating and enhancing tourism destination images.
2,817 citations
TL;DR: In this article, the authors synthesize several models for strategic marketing and management of destinations and provide an overview of several techniques widely used and illustrates examples from around the world. But they do not consider the sustainability of local resources.
2,779 citations