This paper extends theories of control as an organization design tool and empirically explores the efficacy of delegation technologies in providing the equivalent of social (clan) control for effort-averse agents engaged in low programmable, low outcome measurement task environments. The exploratory evaluation of delegation technologies suggests new control alternatives that are trust building ...

This paper investigates distributive justice using a fourfold experimental design: The ignorance and the risk scenarios are combined with the self–concern and the umpire modes. We study behavioral switches between self–concern and umpire mode and investigate the goodness of ten standards of behavior. In the ignorance scenario, subjects became, on average, less inequality–averse as umpires. A wi...

This paper investigates distributive justice using a fourfold experimental design: The ignorance and the risk scenarios are combined with the self–concern and the umpire modes. We study behavioral switches between self–concern and umpire mode and investigate the goodness of ten standards of behavior. In the ignorance scenario, subjects became, on average, less inequality–averse as umpires. A wi...

There are many evidences that people tend to overweight low-probability events and underweight highprobability events. This risk attitude is generally expressed as an inverse-S shaped weighting function. This paper considers a risk-averse inventory manager who operates a continuous-review inventory system subject to supply disruption risk. Both Zero-Inventory-Order (ZIO) and Non-ZIO policies ar...

This paper attempts to reconcile the risk-bearing characterization of entrepreneurs with the stylized fact that entrepreneurs exhibit conventional risk aversion profiles. We propose that the disparity arises from confounding two distinct dimensions of uncertainty: demand uncertainty and ability uncertainty. We further propose that entrepreneurs will be risk averse with respect to demand uncerta...

I many circumstances, evaluations are based on empirical data. However, some observations may be imprecise, meaning that it is not entirely clear what occurred in them. We address the question of how beliefs are formed in these situations. The individual in our model is essentially a “frequentist.” He first makes a subjective judgment about the occurrence of the event for each imprecise observa...

Abstract We present a polynomial-time online algorithm for maximizing the conditional value at risk (CVaR) of monotone stochastic submodular function. Given T i.i.d. samples from an underlying distribution arriving online, our produces sequence solutions that converges to ( $$1-1/e$$ 1 - <mml:...