With the rapid increasing number and assets of A-REITs, there has been an urgent need to study the relationship between the changes of cash rates and the A-REITs returns. This study investigates whether there were relationships between Australian-Real Estate Investment Trusts stock returns and...

This paper studies the role of seekers' problem specification in crowdsourcing contests for design problems. Platforms hosting design contests offer detailed guidance for seekers to specify their problems when launching a contest. Yet, problem specification in such crowdsourcing contests is...

We develop a new approach that integrates empirical estimation and assortment optimization to achieve display personalization for e-commerce platforms. We propose a two-stage Multinomial Logit (MNL) based consider-then-choose model, which accurately captures the two stages of a consumer's...

The shift in enterprise applications to disruptive mobile platforms calls for research to better understand the mechanisms and factors behind success in these new platforms. In this paper, we empirically study the learning dynamics of sales officers and factors associated with business value,...

In this paper, we propose a two-step data analytic approach to the promotion planning for paid mobile applications (apps). In the first step, we use historical sales data to empirically estimate the app demand model and quantify the effect of price promotions on download volume. The estimation...

We propose a novel two-stage data analytic modeling approach, combining theories, statistical analysis and optimization techniques to model player engagement as a function of motivation to maximize customer game-play via matching in the large and growing online video game industry. In the first...

In this paper, we empirically examine the impact of performance feedback on the outcome of crowdsourcing contests. We develop a dynamic structural model to capture the economic processes that drive contest participants' behavior, and estimate the model using a rich data set about real online...

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...