IDEAS home Printed from https://ideas.repec.org/a/taf/marpmg/v33y2006i4p403-421.html
   My bibliography  Save this article

An influence model in seafaring choice for Taiwan navigation students

Author

Listed:
  • Jiunn-Liang Guo
  • Gin-Shuh Liang
  • Kung-Don Ye

Abstract

The severe shrinkage of available national ship officers in Taiwan over the last several years forces the Taiwan shipping industry to confront a threat to its future development. This study develops and tests the influence models of seafaring choice using structural equation modelling in order to investigate the factors influencing seafaring choices and their corresponding influence paths for Taiwan navigation students. Results reveal that navigation students consider pay, specific natures of seafaring, advice from families and friends, and personal interests when making career choices. Moreover, the influence path model proposed by this study shows that navigation students’ intentions to enter seafaring are both directly and indirectly affected by several subjective and objective factors. Further, some suggestions based on the findings of this study are submitted to facilitate their intentions to work aboard ships after graduation.

Suggested Citation

  • Jiunn-Liang Guo & Gin-Shuh Liang & Kung-Don Ye, 2006. "An influence model in seafaring choice for Taiwan navigation students," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(4), pages 403-421, September.
    • Handle: RePEc:taf:marpmg:v:33:y:2006:i:4:p:403-421
    DOI: 10.1080/03088830600895725
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03088830600895725
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03088830600895725?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. Jiangang Fei & Jianjun Lu, 2015. "Analysis of students' perceptions of seafaring career in China based on artificial neural network and genetic programming," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(2), pages 111-126, February.
    2. Wenming Shi & Kevin X. Li, 2017. "Themes and tools of maritime transport research during 2000-2014," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(2), pages 151-169, February.
    3. Lu, Chin-Shan & Weng, Hsiang-Kai & Huang, Fei & Leung, Lai-Han & Wang, Wen-Di, 2018. "Assessing the seafaring intention of maritime students in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 258-273.

    More about this item

    Statistics

    Access and download statistics

    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:taf:marpmg:v:33:y:2006:i:4:p:403-421. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TMPM20 .

    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.