We investigate the economic impact of images and lower-level image factors that influence property demand in Airbnb. Using Difference-in-Difference analyses on a 16-month Airbnb panel dataset spanning 7,711 properties, we find that units with verified photos (taken by Airbnb's photographers)...

Machine Learning algorithms are becoming widely deployed in real world decision-making. Ensuring fairness in algorithmic decision-making is a crucial policy issue. Current legislation ensures fairness by barring algorithm designers from using demographic information in their decision-making. As...

Many organizations have launched online knowledge-exchanging communities to promote knowledge sharing among their employees. We empirically examine the dynamics of knowledge sharing in an organization-hosted knowledge forum. Although previous researchers have suggested that geographic and social...

Should firms that apply machine learning algorithms in their decision making make their algorithms transparent? Despite increasing calls for algorithmic transparency, most firms have kept their algorithms opaque citing potential gaming by users that may negatively affect the algorithm's...

Accurate forecasting of sales/consumption is particularly important for marketing because this information can be used to adjust marketing budget allocations and overall marketing strategies. Recently, online social platforms have produced an unparalleled amount of data on consumer behavior....

We compare the post-merger financial performance of acquiring firms that have well-connected (central) boards with the performance of less-connected (non-central) boards and find that central boards are associated with better performing acquisitions as evidenced by larger post-merger...

We propose a dynamic structural model that illuminates the economic mechanisms shaping individual behavior and outcomes on crowdsourced ideation platforms. We estimate the model using a rich data set obtained from IdeaStorm.com, a crowdsourced ideation initiative affiliated with Dell. We find...

We develop and estimate a dynamic structural framework to analyze social-media content creation and consumption behavior of employees within an enterprise. We focus, in particular, on employees' blogging behavior. The model incorporates two key features that are ubiquitous in blogging forums:...