The Effects of Congestion and Skills at a Hair Salon on the Consumer's Revisiting Behavior
In this study, we apply duration analysis to specify a model of customers' behavior regarding their visits to a hair salon and we then estimate their aggregated revisit rates / dates. We adopt the following approach:  assuming that there are differences among first time customers, regular and loyal customers with respect to the intensity function;  introducing customers' behavioral variables, hair salon congestion and hairdresser skill variables, in addition to demographic variables;  by applying the estimation results of Cox regression, we examine the aggregated revisit rate and show how we measure the individual next revisit date. As a result, we found that the intensity functions of non-loyal and loyal customers have been specified by different models. We could observe differences between first time customers and loyal customers in terms of the response toward hair salon and hairdresser congestion. We could also find that loyal customers tend to prefer higher skilled hairdressers. It suggests that customer heterogeneity should be included in the intensity model and that we also need the hair salon's information (supply side) to specify customers' revisit model.
|Date of creation:||Oct 2010|
|Date of revision:|
|Contact details of provider:|| Postal: 11th floor, Annex, Ministry of Economy, Trade and Industry (METI) 1-3-1, Kasumigaseki Chiyoda-ku, Tokyo, 100-8901|
Web page: http://www.rieti.go.jp/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:eti:dpaper:10046. 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: (NUKATANI Sorahiko)
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.