IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Cultural Adaptation of Websites: A Comparative Study of Portuguese and Dutch Websites

Listed author(s):
  • J. Freitas SANTOS


    (Polytechnic of Porto, Portugal)

  • Bahareh BIDI


    (Polytechnic of Porto, Portugal)

Registered author(s):

    In a globalized world cultural adaptation has become a vital strategy for companies that desire to succeed beyond borders. However, adapt a website is not only to translate the local content of a website to the native language. The content analysis methodology was used to study a sample of Portuguese and Dutch websites collected from the “list of Fortune 500 companies and their websites”. The objective was to evaluate the extent of cultural adaptation of websites to Portuguese and Dutch based on Hofstede and Hall frameworks. The results showed that only the masculinity/femininity dimension were supported meaning that the websites were culturally adapted for both Portuguese and Dutch websites. The high/low-context culture hypothesis, although statistical significant, show that only the Dutch websites were culturally adapted. The collectivistic/individualistic dimension, although statistical significant, showed that only Dutch websites has been culturally adapted. The hypotheses H2 and H3 are both not statistical significant.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Article provided by Faculty of Management, Academy of Economic Studies, Bucharest, Romania in its journal REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT.

    Volume (Year): 17 (2016)
    Issue (Month): 2 (May)
    Pages: 94-107

    in new window

    Handle: RePEc:rom:rmcimn:v:17:y:2016:i:2:p:94-107
    Contact details of provider: Postal:

    Phone: 0040-01-2112650
    Fax: 0040-01-3129549
    Web page:

    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    in new window

    1. Singh, Nitish & Matsuo, Hisako, 2004. "Measuring cultural adaptation on the Web: a content analytic study of U.S. and Japanese Web sites," Journal of Business Research, Elsevier, vol. 57(8), pages 864-872, August.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:rom:rmcimn:v:17:y:2016:i:2:p:94-107. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marian Nastase)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.