University of Minnesota Ph.D. dissertation. August 2011. Major: Business Administration. Advisor: Gediminas Adomavicius. 1 computer file (PDF); x, 128 pages,appendix p. 127-128.

Prior research has shown that online recommendations have a significant influence on consumers’ preference ratings and economic behavior. Specifically, biases induced by observing personalized system recommendations can lead to distortions in users’ self-reported preference ratings after...

Recommender systems are an integral part of the online retail environment. Prior research has focused largely on computational approaches to improving recommendation accuracy, and only recently researchers have started to study their behavioral implications and potential side effects. We used...

Recommender systems are becoming a salient part of many e-commerce websites. Much research has focused on advancing recommendation technologies to improve accuracy of predictions, while behavioral aspects of using recommender systems are often overlooked. In our studies, we explore how consumer...

Although combinatorial auctions are important mechanisms for many specialized applications, their adoption in general-purpose marketplaces is still fairly limited, partly due to the inherent difficulty in evaluating the efficacy of bids without the availability of comprehensive bidder support....

We develop efficient computational strategies for inventory liquidation problem, which is characterized by a retailer disposing of a fixed amount of inventory over a period of time. Liquidating end-of-cycle products optimally represents a challenging problem due to its inherent stochasticity....

The application of predictive data mining techniques in Information Systems research has grown in recent years, likely due to their effectiveness and scalability in extracting information from large amounts of data. A number of scholars have sought to combine data mining with traditional...

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed by the inclusion of those...

We study the impact and interplay of social design features on the engagement behaviors toward user-generated content on Facebook business pages. By examining the introduction of the “Reactions” feature on Facebook, we aim to understand how the introduction of a new engagement feature...

Many important decisions are increasingly being made with the help of information systems that use artificial intelligence and machine learning models. These computational models are designed to discover useful patterns from large amounts of data, which augment human capabilities to make...