Decision‐Making about Workplace Disputes: A Policy‐Capturing Study of Employment Arbitrators,Labor Arbitrators,and Jurors

Firms are increasingly turning to the controversial practice of employment arbitration to resolve workplace disputes. Yet little is know about how decisions are made by employment arbitrators or how their decisions compare to those made in traditional dispute‐resolution forums. This study uses a policy‐capturing design and hierarchical linear modeling to compare how decisions about termination cases are made by employment arbitrators, labor arbitrators, and jurors. The results indicate significant differences in the overall willingness to uphold termination, with labor arbitrators being the most likely to rule in favor of the employee, followed by jurors, employment arbitrators judging statutory and for‐cause claims, and employment arbitrators judging statutory‐only claims. Significant differences were also observed between categories of decision makers in the weight given to procedural compliance, evidence of discrimination, employee work history, and stress‐inducing personal circumstances.     

Stochastic programming in production planning: a case with none-simple recourse

Abstract  In modeling real world planning problems as optimization programs the assumption that all parameters are known with certainty is often more seriously violated than the assumption that the objective function and the constraints can be approximated sufficiently accurate by lineair functions. In this paper we discuss the concrete application of stochastic programming to a multiperiod production planning problem in which the demand for the products during the various periods is assumed stochastic with known probability distribution. Since the resulting stochastic program does not possess the property of "simple" recourse no direct use can be made of existing methods that have been proposed in literature for solving problems of this type.