Maximilian Zellner

University of Southern California | USC · Department of Industrial & Systems Engineering

This paper presents the results of four lottery-type experiments that investigate the effects of incentive structures on decision-making under uncertainty. We compare choices made with and without incentives, with fixed targets, with binary targets, and with four-outcome targets that are discretized from a logistic distribution. The results of the...

This paper's top-level goal is to provide an overview of research conducted in the many academic domains concerned with forecasting. By providing a summary encompassing these domains, this survey connects them, establishing a common ground for future discussions. To this end, we survey literature on human judgement and quantitative forecasting as w...

To maximize its profit, a firm has to design a product or a system and sell it at the price that maximizes its expected profit. The selling price has a direct influence on the demand for the product. Consequently, corporations spend vast amounts of money and resources on gathering information to improve demand forecasting. This paper investigates t...

This paper provides a pilot study on the discrepancy between current Industrial and Systems Engineering (ISE) university programs and industry requirements. A summary of an interview series conducted with subject matter experts in ISE emphasizes the need for more instruction of decision analysis in ISE curricula. According to the analysis of the te...

The design of large-scale complex engineered systems (LSCES) has been shown to be a distributed decision-making problem involving hundreds or thousands of designers making decisions at different levels of an organizational hierarchy. Traditional systems engineering (SE) approaches use requirements to communicate the preference(s) of stakeholders to...