Welcome to the Management Division of Columbia Business School! Our website offers a window into the teaching and research activities of the division.
We explore the forces that affect the performance of organizations by studying individual and interpersonal behavior, group interactions, organizational structure and strategic interactions. The insights are relevant for established and large firms to small and growing entrepreneurial ventures. The members of our division are scholars and practitioners that shed light on management questions from different disciplines that include psychology, strategy, sociology, political science, and economics.
The Management Division prepares leaders for the future of business based on our theoretical and empirical research at the scientific frontier. We publish cutting edge research and translate it into insights that are practical and tangible for business leaders of today and tomorrow.
James P. Gorman Professor of Business; Chair of Management Division
We consider a finite-horizon multi-armed bandit (MAB) problem in a Bayesian setting, for which we propose an information relaxation sampling framework. With this framework, we define an intuitive family of control policies that include Thompson sampling (TS) and the Bayesian optimal policy as endpoints. Analogous to TS, which, at each decision epoch pulls an arm that is best with respect to the randomly sampled parameters, our algorithms sample entire future reward realizations and take the corresponding best action.
Emergency Departments (EDs) typically have multiple areas where patients of different acuity levels receive treatments. In practice, different areas often operate with fixed nurse staffing levels. When there are substantial imbalances in congestion among different areas, it could be beneficial to deviate from the original assignment and reassign nurses. However, reassignments typically are only feasible at the beginning of 8-12-hour shifts, providing partial flexibility in adjusting staffing levels.