One of the biggest challenges in markets where products have ambiguous values (like fine art, specialty coffee, and wine) is to determine the structure of the market. As products in these markets are unique and values are private, it is difficult to determine its market structure using...

In this paper, we examine the price dynamics of online art auctions of Modern Indian Art using Functional Data Analysis. The purpose here is not just to understand what determines the final prices of art objects but also the price movement during the entire auction. We identify several factors...

The marketing literature provides a solid understanding of auctions regarding final sales prices and many aspects of the processes that unfold to result in those outcomes. This research complements those perspectives by first presenting a new bidder behavior model that shows the role of emergent...

Ingredient branding, or the use of two or more brand names on a single product, is widely seen as providing significant benefits in terms of increased product differentiation and greater market share. The association between two brand names can both enhance and dilute the brand equity of the...

Auctions have been studied extensively as an economic marketplace. The economist's focus is on modeling final sales prices, but the processes that give rise to those outcomes are rarely studied in great detail. This research is intended to provide that complementary perspective. We show how the...

The recent advancements in network data modeling such as bilinear mixed models have opened doors to many other social researches that were not possible to explore earlier. In this paper, we demonstrate an application of a bilinear mixed model for a complex human behavior such as overbidding in...