The Influencial Factors of Destination Image on Generation Z’s Travel Intention
- DOI
- 10.2991/aebmr.k.220405.053How to use a DOI?
- Keywords
- Storytelling Travel Vlogs; Destination image; Information adoption; Tourists’ intention
- Abstract
In China, the evolution of web 2.0 technology has converted the traditional social media system, the Travel Vlogs phenomenon is widespread. Contemporarily, storytelling Travel Vlogs is one of the most popular and common Vlogs forms utilized by varouis of industries from different domains, dramatically the tourism industry. Most of the prior study has proved that Travel Vlogs influence tourists’ intention toward destination choosing. This study explored how Storytelling Travel Vlogs influence destination image that impacts Generation Z tourist travel intention towards destination choosing in China. Quantitative analysis and linear regression equation modelling examined the research hypothesis. The primary data was collected from 102 qualified online questionnaires. The findings indicated that information relevance, timeliness, accuracy, comprehensiveness, and trustworthiness were significantly significant for the destination image. In comparison, the information source expertise was statistically insignificant and did not influence destination image. Furthermore, the destination image was found statistically positively significant in tourists’ destination intention toward traveling. Therefore, the generators should provide Vlogs with more relevant information, update timely and correctly, and maintain information comprehensiveness and trustworthiness to attract tourists increasingly.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Keke Xiong PY - 2022 DA - 2022/04/29 TI - The Influencial Factors of Destination Image on Generation Z’s Travel Intention BT - Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022) PB - Atlantis Press SP - 320 EP - 328 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220405.053 DO - 10.2991/aebmr.k.220405.053 ID - Xiong2022 ER -