We analyse the benefits and limitations of the integration of sourcing decisions into the operational route compilation task of a road-haulage company. A trucking company has to supply several customer sides. The demanded quantities are given. The trucking company has to decide which truck...

We interpret recent developments in the field of artificial intelligence (AI) as improvements in prediction technology. In this paper, we explore the consequences of improved prediction in decision-making. To do so, we adapt existing models of decision-making under uncertainty to account for the...

This paper presents a novel approach to analyze human decision-making that involves comparing the behavior of professional chess players relative to a computational benchmark of cognitively bounded rationality. This benchmark is constructed using algorithms of modern chess engines and allows...

How is algorithmic model interpretability related to human acceptance of algorithmic recommendations and performance on decision-making tasks? We explored these questions in a multi-method field study of a large multinational fashion organization. We first conducted a quantitative field...

We study how researchers can apply machine learning (ML) methods in finance. We first establish that the two major categories of ML (supervised and unsupervised learning) address fundamentally different problems than traditional econometric approaches. Then, we review the current state of...

Artificial intelligence is at the heart of current debates related to ethical, social and political issues of technological innovation. This briefing refocuses attention from the technoethical challenges of AI to artificial decision-making (ADM) and the questions related to delegating human...