High correlation between net promoter score and the development of consumers' willingness to pay (Empirical evidence from European mobile markets)
This paper shows that the correlation between the Net Promoter Score and consumers' Willingness To Pay in five European mobile markets is very strong. The Net Promoter Score is provided by a survey and the Willingness To Pay is calculated using the Spokes Model which is an economic model based on horizontal differentiation among firms. The model input data (firms' revenues, number of subscribers and profits) are provided by Merill Lynch, Bank of America. The well-known correlation between Net Promoter Score and Revenues is weaker and arises from the previous correlation. The same is true of the correlation between Net Promoter Score and Profits.
|Date of creation:||2011|
|Contact details of provider:|| Web page: http://www.itseurope.org/|
When requesting a correction, please mention this item's handle: RePEc:zbw:itse11:52214. 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: (ZBW - German National Library of Economics)
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.