A Study on the Influencing Factors of New Media Marketing of Tourist Destinations on Consumers’ Travel Intention: Taking Changbai Mountain Scenic Area as an Example
- DOI
- 10.2991/978-94-6463-638-3_37How to use a DOI?
- Keywords
- Tourist destination; New media marketing; Tourist intention; Changbai Mountain Scenic Area
- Abstract
With the improvement of China’s economic level and comprehensive strength, people’s needs have gradually shifted from material needs to spiritual needs. Therefore, more and more people have focused on the tourism industry, and the application of new media technology in the tourism industry conforms to the development of the times and is a manifestation of the general trend. In this study, it took Changbai Mountain Scenic Area as the main research object, questionnaire survey analysis was taken to study the factors affecting the marketing strategy of tourist destinations on consumers’ willingness to travel, drew conclusions and proposed some optimization plans. In the study, it aims to help tourist destinations effectively take the advantages of new media marketing, enhance consumers’ willingness to travel, and promote the vigorous development of tourist destinations.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jin Kuang AU - Tse-Chen Chang PY - 2024 DA - 2024/12/30 TI - A Study on the Influencing Factors of New Media Marketing of Tourist Destinations on Consumers’ Travel Intention: Taking Changbai Mountain Scenic Area as an Example BT - Proceedings of the 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024) PB - Atlantis Press SP - 361 EP - 367 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-638-3_37 DO - 10.2991/978-94-6463-638-3_37 ID - Kuang2024 ER -