Analysing the travel trends, patterns, and behaviour of outbound tourists from South Korea over one decade (2010-2019)

Geetika Agrawal , Vikas Madhukar , Ruchika Kulshrestha

travel trends, travel behaviour, travel patterns, outbound tourism, South Korea

This paper aims to study the travel trends, patterns, and behavior of Korean outbound tourists over one decade from the year 2010~2019. The study focusses on the pre-covid 19 period as post that the travel market got deeply affected in the pandemic and is still in its recovering stage. The study is based on the secondary research where the researcher has collected the annual tourism data for 10 consecutive years from Korea Culture and Tourism Institute in South Korea. An in-depth analysis is done on the outbound part of the National Tourism Survey conducted by Korea Tourism Organisation. This analysis portrays a clear picture of the travel trends, patterns and behaviours of Korean tourists to various outbound destinations. The study would help the travel stakeholders to understand the pattern and changes in travel outbound industry of South Korea which can in turn help them to plan the travel and attract the Korean tourists with appropriate marketing strategies.

Published Paper   E-Certificate

"Analysing the travel trends, patterns, and behaviour of outbound tourists from South Korea over one decade (2010-2019)", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 3, page no.839 - 850, March-2024, Available :https://ijsdr.org/papers/IJSDR2403119.pdf

Volume 9 Issue 3, March-2024

Pages : 839 - 850

Paper Reg. ID: IJSDR_210562

Published Paper Id: IJSDR2403119

Downloads: 000347108

Research Area: Management

Country: Gurugram, Haryana, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2403119

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2403119

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition