We study the risk attitudes of an important segment of the economy: managers. We conduct artefactual field experiments with 130 managers from 12 industrial companies. Our analysis is particularly careful to evaluate alternative models of decision-making under risk. In general, we find that the...

Recently researchers have integrated aspects of supply risk management into decision models for determining the optimal design of supply networks. A purchasing manager faces a fundamental trade-off when designing the supply network and deciding upon the allocation of purchasing volumes across a...

Purpose – The purpose of this paper is to investigate the potential of a new convenience‐enhancing service at the interface between retailers and consumers: time‐based delivery of parcels. The service allows consumers to choose a preferred time slot for a parcel to be delivered. This...

We analyze the performance drivers for data-driven inventory management in a Newsvendor setting with nonstationary demand. For this, we study two novel approaches which are based on machine learning techniques (linear quantile regression and tree-based regression, respectively) and which use...

When decision makers face crucial strategic decisions they frequently have to rely on judgments about events in the far future. These judgments are typically characterized by very high uncertainty and the absence of experience from previous good or bad judgments. Judgments of other experts are...