A growing number of vendors are using a sequence of online auctions to sell large inventories of identical items. Although bidding strategies and bidder behavior in single auctions have been extensively studied, limited research exists on bidding in sequential auctions. We seek to explain how...

Information generated in online markets can affect both buyers’ and sellers’ expectations and therefore their choices. In this research, we investigate the effect of market information, generated in online auction markets, on buyers’ expectations and choices. To clear large inventories,...

In this study we examine the influence of premier information systems research over time to assess the maturity of the Information Systems (IS) field and its impact on subsequent IS and non-IS research. There are 19,357 citations from the Social Science Citation Index (SSCI) (1982-2004) made to...

Trust acts as an indispensable personal attachment in human relations. Without a doubt, trust is always present where people exist, and of course, there is no exception for the business environment. After witnessing actual trust-deficit cases in supply chain practices, and realising the state of...

Retailers often conduct non-overlapping sequential online auctions as a revenue generation and inventory clearing tool. We build a stochastic dynamic programming model for the seller's lot-size decision problem in these auctions. The model incorporates a random number of participating bidders in...

Retailers often conduct non-overlapping sequential online auctions as a revenue generation and inventory clearing tool. We build a stochastic dynamic programming model for the seller’s lot-size decision problem in these auctions. The model incorporates a random number of participating bidders...