Most online feedback mechanisms rely on voluntary reporting of privately observed outcomes. This introduces the potential for reporting bias, a situation where traders exhibit different propensities to report different outcome types to the system. Unless properly accounted for, reporting bias...

Reputation systems are emerging as an increasingly important component of online communities, helping elicit good behavior and cooperation among loosely connected and geographically dispersed economic agents. A deeper understanding of the factors that drive voluntary online feedback contribution...

We study the link between price points and price rigidity, using two datasets: weekly scanner data, and Internet data. We find that: 9 is the most frequent ending for the penny, dime, dollar and ten-dollar digits; the most common price changes are those that keep the price endings at 9; 9-ending...

High-frequency trading (HFT) practices in the global financial markets involve the use of information and communication technologies (ICT), especially the capabilities of high-speed networks, rapid computation, and algorithmic detection of changing information and prices that create...

We study the link between price points and price rigidity using two data sets: weekly scanner data and Internet data. We find that “9” is the most frequent ending for the penny, dime, dollar, and ten-dollar digits; the most common price changes are those that keep the price endings at...

We offer new evidence on the link between price points and price rigidity using two datasets. One is a large weekly transaction price dataset, covering 29 product categories over an eight-year period from a large U.S. supermarket chain. The other is from the Internet, and includes daily prices...

The importance of distinguishing between potential and realized value for IT investments has been recognized by senior managers and IS researchers since some time in the 1980s, when it became apparent that not all IT investments were likely to achieve equivalent levels of return on investment....

We study the link between price points and price rigidity, using two datasets: weekly scanner data, and Internet data. We find that: “9” is the most frequent ending for the penny, dime, dollar and ten-dollar digits; the most common price changes are those that keep the price endings at...

We study the link between price points and price rigidity, using two datasets - weekly scanner data and Internet data. We find that (i) 9 is the most frequently used price-ending for the penny, dime, dollar, and ten-dollar digits, (ii) the most common price changes are those that keep the price...

We study the link between price points and price rigidity, using two datasets: weekly scanner data, and Internet data. We find that: “9” is the most frequent ending for the penny, dime, dollar and ten-dollar digits; the most common price changes are those that keep the price endings at...