IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v65y2013i3p2077-2103.html
   My bibliography  Save this article

The spatio-temporal distribution of different types of messages and personality traits affecting the eWOM of Facebook

Author

Listed:
  • Chen-Yuan Chen
  • Tsung-Hao Chen
  • Ying-Hsiu Chen
  • Chieh-Lian Chen
  • Shang-En Yu

Abstract

The spatial distribution of Facebook has brought enterprises a new trend in internet/online marketing. There is an increase in enterprise that begins to focus on the operation of Facebook Fan Page, which treats the Fan Page as an interaction between enterprises and consumers. Therefore, electronic word-of-mouth (eWOM) is passed around by the Fan Page and is purposed to promote the enterprise brand as well. However, the personality traits of every user of the Fan Page vary so as the way to pass eWOM on the Fan Page. This study is intended to use Shock Fan Page as a research platform to investigate the following four aspects: (1) The motivation of user for joining Facebook Fan Page; (2) The impact of Facebook Fan Page’s personality traits on eWOM; (3) The impact of different types of messages on eWOM; (4) How would personality traits affecting the willingness of eWOM for different types of messages on Facebook Fan Page. According to the research results, the main reason that users join Facebook Fan Page is to receive more information about the products provided by the enterprise, rather than to meet new friends and expand their social circles. In the personality traits factor, the unique needs have a significant influence on two eWOM activities, that is, using “Like Button” and “Share Button” to indicate the motivations and willingness of sharing different types of messages. Lastly, according to the research results, users are more likely to click “Like Button” for supporting the messages on the Fan Page, rather than to share. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Chen-Yuan Chen & Tsung-Hao Chen & Ying-Hsiu Chen & Chieh-Lian Chen & Shang-En Yu, 2013. "The spatio-temporal distribution of different types of messages and personality traits affecting the eWOM of Facebook," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 2077-2103, February.
    • Handle: RePEc:spr:nathaz:v:65:y:2013:i:3:p:2077-2103
    DOI: 10.1007/s11069-012-0468-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-012-0468-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11069-012-0468-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roma, Paolo & Aloini, Davide, 2019. "How does brand-related user-generated content differ across social media? Evidence reloaded," Journal of Business Research, Elsevier, vol. 96(C), pages 322-339.

    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:spr:nathaz:v:65:y:2013:i:3:p:2077-2103. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.