Business Commons^™

Strategic Management In Agriculture (Recording), Steven Slezak

Steven Slezak

No abstract provided.

Creativity From Constraint? How Political Correctness Influences Creativity In Mixed-Sex Work Groups, Jack Goncalo, Jennifer Chatman, Michelle Duguid, Jessica Kennedy

Jack Goncalo

Most group creativity research is premised on the assumption that creativity is unleashed by removing normative constraints. As work organizations become increasingly diverse in terms of gender, however, this assumption needs to be reconsidered since mixed-sex interactions carry a high risk of offense. Departing from the assumption that normative constraints necessarily stifle creativity, we develop a theoretical perspective in which creativity in mixed-sex groups is enhanced by imposing a norm to be politically correct (PC)—a norm that sets clear expectations for how men and women should interact with one another. We present evidence from two group experiments showing that the …

On Uncertainty, Ambiguity, And Complexity In Project Management, Michael T. Pich, Christoph H. Loch, Arnoud De Meyer

Arnoud DE MEYER

This article develops a model of a project as a payoff function that depends on the state of the world and the choice of a sequence of actions. A causal mapping, which may be incompletely known by the project team, represents the impact of possible actions on the states of the world. An underlying probability space represents available information about the state of the world. Interactions among actions and states of the world determine the complexity of the payoff function. Activities are endogenous, in that they are the result of a policy that maximizes the expected project payoff.

A key …

Determination Of Number Of Dedicated Or's And Supporting Pricing Mechanisms For Emergent Surgeries, Leo Macdonald, Jomon Aliyas Paul

Jomon Aliyas Paul

Inefficient management of emergent surgeries in hospitals can, in part, be attributed to a lack of rigorous analysis appropriate to capturing the underlying uncertainties inherent to this process and a pricing mechanism to ensure its financial viability. We develop a non-preemptive multi-priority queueing model that optimally manages emergent surgeries and supports the resource allocation decision-making process. Specifically, we utilize queueing and discrete event simulation to develop empirical models for determining the required number of emergent operating rooms for a hospital surgical department. We also present algorithms that estimate the appropriate pricing for patient surgeries differentiated by priority level given the …