Customer Satisfaction with E-Retailers: The Role of Product Type in the Relative Importance of Attributes

Abstract

ABSTRACTIt is of strategic importance for e-retailers to allocate their resources to various service attributes according to their relative importance. How does one determine the relative importance of different service attributes? Does the relative importance of different service attributes remain the same across different product categories? These questions must be addressed by researchers and e-retailers. Since customer ratings for service attributes are highly correlated, modeling methods other than traditional regression models should be used to analyze the relative importance of service attributes to overall customer satisfaction. As such, this article utilizes neural networks in order to study the relative importance of e-retailer service attributes. Importantly, this article shows that the relative importance of e-retailer service attributes varies across different product categories (i.e., convenience, shopping, and specialty goods).