Retailers are increasingly exploiting sequential online auctions as an effective and low cost distribution channel for disposing large quantities of inventory. In such auction environments, bidders have the opportunity of participating in many auctions to learn and choose the bidding strategy...

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...

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...

Organizations continue to invest in marketing strategies through various social media platforms in order to enhance engagement. Building engagement is said to help companies to gain more profit and contribute to their social responsibility (Du et al. 2010). Users follow companies for access to...

Organizations seeking to improve user engagement continue to invest in fan pages on social media platforms anticipating that in a progressive global marketplace users will utilize these technologies, which will enhance organizational competitive advantages. With the steady growth of the number...

The rapid development of textual analysis techniques has paved the way for automatic sentiment analysis. Many studies have been focusing on using sentiments disclosed from social media to predict the financial market performance. However, the underlying value of the messages collected from...

Recent studies have investigated the effect of investors' opinions, or peer-based advice, available on social media platforms or stock discussion forums on the financial market. The researchers have been focusing on stock earnings surprises, abnormal returns and trading volume. But the jury is...

The rapid development of textual analysis techniques has paved the way for automatic sentiment analysis. Many studies have been focusing on using sentiments disclosed from social media to predict the financial market performance. However, the underlying value of the messages collected from...