This paper models the incentive misalignment between firm owners and their employees as a barrier to technology diffusion, which is a critical yet understudied feature, in technology adoption settings. To do so, we consider a general continuous-time optimal stopping framework with the...

In this paper, we develop a model for on-demand telemedicine platform operations that focuses on managing multi-specialty, online-based care in the presence of general and specialized care demand interactions, as well as multiple physician classes. Although this type of demand interaction is...

In this paper, we propose a general continuous-time stochastic-modeling framework where a financial firm offers incentive bonuses to a team of employees, who would thus exert effort to reduce operational risk losses. We characterize employees' Nash equilibrium efforts and the firm's optimal...

This paper proposes a mutually exciting discrete-time stochastic model to capture two essential features underlying the bank-customer behavior process---the dependence on the past behavior (i.e., path-dependence) and the behavioral interdependence between deposit and withdrawal activities (i.e.,...

The financial services industry differs from other service industries in ways that affect the nature of the operational risks it is subject to. In recent decades, many books and papers have focused on operational risk in financial services. However, the literature has focused mainly on the...