Author
Listed:
- Mengmeng Zhang
(Department of Tourism Management, Kangwon National University, Gangneung 25457, Republic of Korea)
- Yang Wu
(Department of Tourism Management, Kangwon National University, Gangneung 25457, Republic of Korea)
- Kecun Chen
(Graduate School, Seokyeong University, Seoul 02713, Republic of Korea)
- Sangguk Kang
(Department of Tourism Management, Kangwon National University, Gangneung 25457, Republic of Korea)
Abstract
This study investigates how social networking service (SNS) tourism information characteristics influence destination image and behavioral intentions in digital tourism communication. Drawing on the stimulus–organism–response (S-O-R) framework, SNS information characteristics are conceptualized as vividness, convenience, interactivity, and reliability, and their effects on affective image, cognitive image, and SNS behavioral intentions are examined. Data were collected from 273 Chinese tourists who used SNS platforms to obtain information about Jeju Island, and structural equation modeling (SEM) with bootstrapping was employed to test direct and mediating effects. Results indicate that convenience significantly influences cognitive image; vividness, convenience, and interactivity significantly affect affective image; and reliability shows no significant effect. Affective image positively influences behavioral intentions, whereas cognitive image does not. In addition, vividness, interactivity, and reliability directly influence behavioral intentions, while convenience has no direct effect. Mediation analysis shows that affective image partially mediates the effects of vividness and interactivity and fully mediates the effect of convenience, whereas cognitive image does not exhibit a significant mediating role. These findings highlight the importance of affective mechanisms in digital tourism communication and provide practical implications for sustainable destination marketing and digital tourism management.
Suggested Citation
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:18:y:2026:i:7:p:3612-:d:1915021. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address
(email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.