Small count data presents challenges for analytics and requires significant data inspection. Outliers may become a problem for small count data and are often overlooked. A single outlier may have a strong effect on small count data because of the difficulty in identifying the nature of the outlier. In the healthcare industry, small count data often represent life-threatening incidences, such as rare diseases or “never events” in surgeries. The focus of this research is on data sets that report retained surgical devices.
Electronic trading markets have evolved rapidly with continued adoption of new technologies and growing information acquisition and processing capabilities. Traditional perspectives on trading performance adopted a monolithic view of information.
This paper presents an experimental approach to compare the performance of alternative business process designs. Using a group buying model, the experiment explores how practitioners can design group buying models.
Viewing social communication on group-buying platforms as a new form of IT-enabled coordination mechanisms, we examine the impact of group size and communication capacity on buyer performance on group-buying platforms.
This journal article explores how communication messages might impact performance in a group buying setting. The research is an extension of prior work using a simulated group buying market