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The purpose of this study is to assess the significant relationship between expectations and satisfaction of the tourists and to evaluate if there is a significant association between the demographic profiles and satisfaction of the tourists in Seoul, South Korea. This study used a quantitative research methodology and a total population sampling. This conducted study had certain limitations: (1) due to the COVID-19 pandemic, the survey questionnaire was created via Google Forms and was disseminated through Facebook Messenger, and (2) the sampling size consisted of 110 tourists – the total number of DLSU-d Tourism students that went to South Korea last 2019, and (3) the variables used such as transportation, attractions, activities, and communication is only focused in Seoul, South Korea. The conclusions of this study include, that there is no significant association between the expectations and contentment of the tourists, as well as there is also no significant relationship between the demographic profiles of the tourists and their satisfaction in Seoul, South Korea. Researchers who examine the same subject or area can choose to make improvements such as recruiting persons from varied backgrounds rather than confining themselves to students who went to a given destination. Additionally, it could be important to analyze westerners' expectations of South Korea.
Keywords:
Keywords: South Korea, tourist expectation, tourist satisfaction, tourism
Cite Article:
"The Expectation and Satisfaction of the DLSU-D Tourism Students in Seoul, South Korea", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.2101 - 2116, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206317.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator