This paper investigates the impact of service quality in e-tailing on site visits and consumer demand (approximated by the last-click- through concept). We use a large representative data set obtained from a price-comparison site which covers most of the national (Austrian) market on e-tailing. Customers' valuations for a broad range of 15 dif- ferent service characteristics are condensed by factor analysis. Negative binomial regressions analysis is used to measure the impact of princi- pal factors for service quality on referral requests to online shops and last-click-throughs for different product categories.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. 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.
Publisher Info
Paper provided by Department of Economics, Johannes Kepler University Linz, Austria in its series Economics working papers with number
2009-05.
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.: