Several “e-movement” crusaders have discovered that customers spend significant amounts of time researching products they seek before purchasing. In a bid to assist customers in these efforts, and conserve precious time, these organizations offer users suggestions of products they may be interested in. This serves the dual purpose of not just attracting browsers but converting them into buyers....

Determining an order quantity when quantity discounts are available is a major interest of material managers. A supplier offering quantity discounts is a common strategy to entice the buyers to purchase more. In this paper, EOQ models with incremental discounts and either full or partial backordering are developed for the first time. Numerical examples illustrate the proposed models and solutio...

Reputation systems are very important in e-markets, where they help buyers to decide whether to purchase a product. Since a higher reputation often represents higher profit, malicious users may try to deceive them to increase their reputation. This may be aggravated through fear of retaliation to bad ratings or collusion of multiple users so that they can perform a fraud of high value before be...

Weighting matrices are typically assumed to be exogenous. However, in many cases this exogeneity assumption may not be reasonable. In these cases, typical model specifications and corresponding estimation procedures will no longer be valid. In this paper we specify a spatial panel data model which contains a spatially lagged dependent variable in terms of an endogenous weighting matrix. We sugg...

Pricing in the online world is highly transparent & can be a primary driver for online purchase. While dynamic pricing is not new & used by many to increase sales and margins, its benefit to online retailers is immense. The proposed study is a result of ongoing project that aims to develop a generic framework and applicable techniques by applying sound machine learning algorithms to enhance rig...