2022
DOI: 10.1108/jhti-03-2022-0111
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Destination stereotypes: a phenomenon of destination image

Abstract: PurposeDespite years of research on destination image (DI), studies have surprisingly failed to investigate how tourists perceive and approach destinations that they are not cognizant about. While prodigious amount of information is available on the dimensionality and nature of DI, little is known about the construct with reference to cognizance, geographical proximity and units. Understanding such an aspect would help destination management organizations (DMOs) in refining their marketing strategies and in im… Show more

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Cited by 11 publications
(9 citation statements)
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References 86 publications
(160 reference statements)
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“…A total of 1,178 keywords were used between 2018 and 2022 by the authors in JHTI to compose their research articles. For instance, previous studies published in JHTI have addressed medical tourism (Ediansyah et al ., 2022), Covid-19 (Khawaja et al ., 2022; Shukla et al ., 2022; Şengel et al ., 2023), satisfaction (Feng et al ., 2021; Genc and Gulertekin Genc, 2022), trust (Boğan and Dedeoğlu, 2019; Ahn and Kwon, 2020), motivation (Shi et al ., 2019; Omo-Obas and Anning-Dorson, 2022), attitude (Wan et al ., 2022), perceived value (Duong et al ., 2022) behavioural intention (Çelik and Dedeoğlu, 2019), social media (Ampountolas et al ., 2019), destination marketing (Nakayama, 2022), destination image (Karri and Dogra, 2022; Uner et al ., 2022) and authenticity (Genc and Gulertekin Genc, 2022). In the meantime, Pang and Zhang (2019) argue that keywords appearing over four times reflect the overall scope well.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…A total of 1,178 keywords were used between 2018 and 2022 by the authors in JHTI to compose their research articles. For instance, previous studies published in JHTI have addressed medical tourism (Ediansyah et al ., 2022), Covid-19 (Khawaja et al ., 2022; Shukla et al ., 2022; Şengel et al ., 2023), satisfaction (Feng et al ., 2021; Genc and Gulertekin Genc, 2022), trust (Boğan and Dedeoğlu, 2019; Ahn and Kwon, 2020), motivation (Shi et al ., 2019; Omo-Obas and Anning-Dorson, 2022), attitude (Wan et al ., 2022), perceived value (Duong et al ., 2022) behavioural intention (Çelik and Dedeoğlu, 2019), social media (Ampountolas et al ., 2019), destination marketing (Nakayama, 2022), destination image (Karri and Dogra, 2022; Uner et al ., 2022) and authenticity (Genc and Gulertekin Genc, 2022). In the meantime, Pang and Zhang (2019) argue that keywords appearing over four times reflect the overall scope well.…”
Section: Resultsmentioning
confidence: 99%
“…Cluster 4 (Blue) – The documents included in the collection related to destination image (Jeannie Hahm and Tasci, 2020; Valduga et al , 2020; Karri and Dogra, 2022), tourism destination (McLeod, 2020; Moradi et al , 2022b) and affective image (Ferreira and Giraldi, 2020; Uner et al , 2022).…”
Section: Resultsmentioning
confidence: 99%
“…). Organic attributes refer to information or perceptions formed without being influenced by marketing efforts (Crompton, 1979;Karri & Dogra, 2023). With technological advances, these attributes can come from online reviews (Song et al, 2021), travel blogs (Gholamhosseinzadeh, Chapuis, & Lehu, 2023), and social media content (Lam et al, 2020) created by tourists.…”
Section: Destination Image and Social Mediamentioning
confidence: 99%
“…The way a destination looks and how it looks affects the choice of destination, but the layout and distance between nearby destinations are not fully explained. This lets travel agencies focus on improving the destination's image and natural beauty so they can be more competitive (Karri and Dogra, 2022). Since advertising will affect the number of tourists who visit a destination (Uner et al , 2022), tourism officials should tailor their strategies in international advertising for different countries and audiences because they may have different perceptions of a destination.…”
Section: Theoretical Frameworkmentioning
confidence: 99%