Unlimited shelf space in Internet supply chains: Treasure trove or wasteland?

Internet retailing offers merchants limitless shelf space. This has led experts to highlight the existence of a “long tail” of offerings on the web and assert that the future of online business is “selling less of more.” However, it is difficult for Internet retailers of physical goods to sell a large scope of products without having to handle potentially large amounts of product returns from customers. This is due to the fact that customers can and do get overwhelmed by excessive product variety and often make erroneous purchasing decisions. We shed light on this issue through an assessment of theoretical predictions based on data from sales and returns of almost 7000 products in a particular product category. While retailers can benefit from expanding the scope of their inventories to generate Internet sales, the success of this strategy will depend on the control of unjustified product returns by consumers and the management of recurrent execution errors and product fit failures in transactions with customers. Furthermore, from our results, the gains that this strategy will bring to retailers will be bound by the amount of time products have been available on the Internet retailer's site, as well as by other attributes such as product price and size.     

Physical distribution service performance and Internet retailer margins: The drop-shipping context

In this paper, we investigate the relationship between Internet retailer margins and retailer promises regarding product distribution service. We focus particularly on Internet retailing in a drop-ship context, because this model provides a purer separation of these activities and the related costs and constitutes a critical context for the empirical examination of the relationship between retailer margins and promises. Drawing upon retailer and consumer perspectives, we articulate and justify a set of propositions regarding the relationships among different Internet retailer margins and promised product distribution service performance. We examine a sample comprising over 2000 retail transactions with customers and find partial empirical support for the set of propositions. Specifically, the results show that product margins and the margins on shipping and handling are inversely proportional. We also find a direct relationship between promised product distribution service performance and shipping and handling margins even after key product characteristics known to influence the cost side of the margin equation are controlled for. These results confirm an intuitively logical view of the relationships among pricing and promised product distribution service performance. The study also offers insights for practitioners regarding the opportunity to enhance performance in this domain and demonstrates the benefit and power of employing objective measures drawn from the vast array of information captured via online transactions.