Abstract
ABSTRACT This study examines the factors determining the quality of a business-to-business web site using data from the perishable industry. Data from two time periods are used to identify the persistent trends in web features that support customer interaction. A binomial probit model is used to assess the contribution that various features have on the probability of a web site being included in the Forbes listing of prominent web sites. The results indicate that features such as customer support, promotion, proprietary software availability, and the duration of web site operation play an important role in determining the probability of a website being listed in the Forbes list.
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