Ashish Agarwal, Assistant Professor
Ashish is investigating how firms can improve their advertising performance on social networking platforms. Contact Ashish for more information on his research.
Anitesh Barua, Professor
While much has been written about the power of social media, can social ties have a detrimental effect on bargaining power? Through an experimental approach, we analyze the impact of social ties on bargaining between buyers and sellers, and that among a group of individuals who must work together and where the reward has to be shared through bargaining. Contact Anitesh for more information on his research.
Sirkka Jarvenpaa, Professor
Managing Open Innovation Interactions. As the locus of innovation moves from inside to the outside of the firm, what are the necessary skillful interaction practices steering situations that appropriately adjust openness and closeness for the firm’s interests (e.g., intellectual property concerns) well as the collective innovation interests? Contact Sirkka for more information on her research.
Prabhudev Konana, IROM Department Chair & Professor
Millions of investors read and/or share information on message boards. However, is there any useful information for investors to make better investment decisions? Our research shows that investors self-select what information they read. Further, they value information that confirms their prior beliefs higher. Such behavior may increase investors' confidence and trade more frequently often to their own detriment. Contact Prabhudev for more information on his research.
Maytal Saar-Tsechansky, Associate Professor
Saar-Tsechansky's research studies computational, data-driven learning for business intelligence, particularly for improving decision making. We face business environments that are information intensive, complex, and increasingly more dynamic, so we need intelligent methods that can automatically learn from experiences in such environments while accommodating their myriad economic constraints. The overarching motivation in her research is to develop data mining methods that accommodate the constraints and complexities of real-world business environments, as well to effectively exploit the opportunities presented in these settings to better inform decision making.
Her research has produced two main streams of work. The first, “economic data mining,” focuses on enabling data-mining techniques to account for the economic constraints and objectives of business settings. Her work produced new algorithms that reason intelligently about opportunities to acquire information cost-effectively so as to improve data-driven decision-making. In a second stream of research she has focused on methods to improve managerial insights, with a particular emphasis on knowledge extraction from complex information sources such as textual and inter-linked, relational data, which are ubiquitous in today’s business environments.
Her work integrates business research and data mining (or machine learning), has made contributions to multiple disciplines, and has been published in the leading journals in information systems, finance, and computer science.
Contact Maytal for more information on her research.
Huseyin Tanriverdi, Associate Professor
Dr. Tanriverdi studies how firms use IT and business analytics to create shareholder wealth in corporate transactions such as mergers, acquisitions, divestitures, spinoffs, and split-ups. Contact Huseyin for more information on his research.
Wen Wen, Assistant Professor
The smartphone industry has seen a flood of stories about the legal battles between Apple and Samsung and HTC related to the Android open source platform recently. This wasn’t the first legal challenge open source software has faced though. Back to 2003, a series of cases were winding their way through the courts against Linux operating system. As open source innovation becomes increasingly prevalent and yields huge benefits to both entrepreneurs and incumbent firms, would these intellectual property enforcement actions stifle this new innovation model and how? On one of her recent studies, Dr. Wen took a first step to address this question. She found that the presence and enforcement of intellectual property rights not only lead to less user interest toward open source, but also dampen open source developers’ incentives to innovate, especially for software that displays technological overlap with the litigated technology and that is intended to business and specific to the focal litigated platform.
To alleviate the legal threats to open innovation, IBM, Red Hat, and a few others have taken the initiatives to either pledge their own patents to the public or create royalty-free patent pools such as Open Invention Network. Why would they give away their own patents? Did they only commit their least-effective, least-important patents to the community? What would be its influence on open innovation, particularly by start-up firms with only shallow pockets to protect themselves from intellectual property challenges? One of Wen’s research programs is to explore these questions. One important finding from her suggests that the patent pledge by large incumbents such as IBM indeed effectively builds a protective umbrella to help open source start-ups to innovate; moreover, this effect is stronger in software markets with high cumulative innovations or markets exhibiting high concentration of patent ownership.
Contact Wen for more information on her research.
Andrew Whinston, Professor
In order to study Internet security, the researchers in CREC have assembled from 200 countries a database containing companies that generate large amounts of outgoing spam. This information is presented on Spamrankings.net and has lead to a 16% reduction in spam from these companies. Contact Andrew for more information on his research.