Slum Destinations Experience from Tourist Narratives' Perspective

Arslan, Erdal

doi:10.17123/atad.1262190

Cited by 1 publication

(2 citation statements)

References 31 publications

(17 reference statements)

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“…The research data were retrieved from Tripadvisor, a leading online travel and tourism website. The site acts as a hub for social science researchers in retrieving data from travelers to different destinations with different experiences in different languages (Burkov and Gorgadze, 2023;Nowacki, et al, 2023;Arslan, 2023;Toker 2019). Therefore, a total of 450 user reviews until 20.11.2023 on restaurant X, which is considered the best in the city, were obtained from Tripadvisor.…”

Section: Methodsmentioning

confidence: 99%

“…The data were analysed by following the document analysis procedures. Document analysis in qualitative research includes texts in newspapers or other mass media, files, protocols, institutional documents and web pages (Arslan, 2023;Morgan 2022;Toker, 2022;Mayring 2014;Punch 2009). The coding procedures suggested by Strauss and Corbin (1967) were adopted during the data analysis process (Figure 1).…”

Section: Methodsmentioning

confidence: 99%

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Unveiling the Attractiveness of Urban Destinations in the Context of Cuisine

Arslan,

Osei

2024

Trans. Bus. Man.

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The efforts to diversify and extend the tourism season to 12 months continue unabated with new approaches and strategies. This issue is of greater importance for countries where tourism is pivotal to the growth of the economy. One approach to achieve this is through urban tourism and its popularity is increasing rapidly. Although tourism has a significant impact on the Turkish economy, the country is widely known for sea-sand-sun tourism. However, research on how this can be transformed into urban tourism especially from the perspective of cuisines is still needed. This current study focuses on the narratives of tourists visiting Istanbul, Turkey's mega-city as well as an important urban destination. A qualitative research approach is adopted, and a document analysis technique is employed in the study. Tripadvisor user entries, commonly used in scientific research, are used as a data source. Data analyses are performed following a three-step analysis procedure with the qualitative analysis software MAXQDA. The analysis covers a total of 450 entries. The results of the present study introduce a series of key projections for the scientific literature, practitioners, and administrators.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%