Decision-making in the context of complex human–natural systems requires a transition
towards robust model-based inferences which are effective despite uncertainties of human …

This review maps the body of behavioural OR studies that focus on interventions. The term
'intervention'is used here to refer to a designed problem-solving system in which individuals …

This study aims to develop a Multi-Attribute Decision-Making (MADM) method, the Best-
Worst Tradeoff method, which draws on the underlying principles of two popular MADM …

We witness and welcome the resurgence of interest in the study of behavioural issues in the
conduct of operational research (OR). The use of the term 'resurgence'is deliberate: the …

Multi-attribute value theory (MAVT)-based recommender systems have been proposed for
dealing with issues of existing recommender systems, such as the cold-start problem and …

The paper aims to demonstrate the importance of behavioural issues in environmental
modelling. These issues can relate both to the modeler and to the modelling process …

The aim of this study is to look at anchoring bias–one of the main cognitive biases–in two
multi-attribute decision-making methods, SMART and Swing. First, the existence of …

Abstract In Operational Research practice there are almost always alternative paths that can
be followed in the modeling and problem solving process. Path dependence refers to the …

Purpose Multiple criteria decision analysis swing weighting (SW) and discrete choice
experiments (DCE) are appropriate methods for capturing patient preferences on treatment …

Environmental modellers recurrently work with decisions where a portfolio of actions has to
be formed to effectively address the overall situation at hand. When creating the portfolio …