IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20130138.html

Digital Destinations in the Tourist Sector: A Path Model for the Impact of e-Services on Tourist Expenditures in Amsterdam

Author

Listed:
  • Bart Neuts

    (KU Leuven, Belgium)

  • Joao Romao

    (VU University Amsterdam)

  • Peter Nijkamp

    (VU University Amsterdam)

  • Eveline van Leeuwen

    (VU University Amsterdam)

Abstract

Innovations in information and communication technologies (ICT) in recent decades have had profound implications for tourism services, promotion, or distribution. We apply a Structural Equations Model (SEM) to analyse the relationships between the characteristics of tourists visiting Amsterdam, the importance they attach to different kinds of information contents available on the Internet, and the actual performance of the city as a tourism destination, measured by the expenditures and the duration of stay of the visitors. Findings indicate that the choice of e-services depends on the travel motive, age, education, income, gender, nationality, and length of stay. Furthermore, use of e-forums and virtual tours was found to significantly affect local expenditure.

Suggested Citation

  • Bart Neuts & Joao Romao & Peter Nijkamp & Eveline van Leeuwen, 2013. "Digital Destinations in the Tourist Sector: A Path Model for the Impact of e-Services on Tourist Expenditures in Amsterdam," Tinbergen Institute Discussion Papers 13-138/VIII, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20130138
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/13138.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Bart Neuts & João Romão & Eveline van Leeuwen & Peter Nijkamp, 2013. "Describing the Relationships between Tourist Satisfaction and Destination Loyalty in a Segmented and Digitalized Market," Tourism Economics, , vol. 19(5), pages 987-1004, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:tin:wpaper:20130138. 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: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.html .

    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.