Faculty News & Research
Recent Highlights




"This paper builds a process theory of how participants in an online community deal with a new identity threat. Based upon the in-depth, interpretive case study of an online community of retail bankers, it develops a grounded theory that reveals that participants in an online community deal with new taint by protecting their occupation's identity but not by attempting to repair its external image."

"Social media platforms for healthcare services are changing how patients choose doctors. The digitization of healthcare reviews has enabled patients to thoroughly evaluate doctors before booking an appointment, and has increased the transparency of the relationship between patients and doctors. In this paper, we wish to derive the impact of online information on patient choice of outpatient care doctors. We are especially interested in how operational factors influence demand."

Short Abstract: This paper focuses on finding the same and similar users based on location-visitation data in a mobile environment. We propose a new design that uses consumer-location data from mobile devices (smartphones, smart pads, laptops, etc.) to build a “geosimilarity network” among users. The geosimilarity network (GSN) could be used for a variety of analytics-driven applications, such as targeting advertisements to the same user on different devices or to users with similar tastes, and to improve online interactions by selecting users with similar tastes.

“Very quietly, companies have been returning call center jobs to the U.S. from where they were outsourced to, whether it was India, the Philippines,” or elsewhere, said Mor Armony, an associate professor at New York University’s Stern School of Business. Because all the outsourcing we saw in years past often looked bad for companies that were perceived as cutting costs at the expense of American workers. “There’s been a big backlash-- not only politically,” said Armony. “But also from a business perspective… there’s a basic trade-off between quality and costs.”

Short Abstract: Using data on Broadway performances during the recent decade, we investigate the factors relating to the survival of Broadway shows. We assess the special structure of the Broadway season and build our analysis to accommodate this structure. Three modeling approaches are employed: logistic regression, proportional hazards regression, and (log-)linear regression for censored data. All three approaches reveal persistent positive effects of attendance, awards, and nominations on survival of Broadway shows. Featured on: CNN, Variety, BroadwayWorld.com, Backstage.