Purpose: This study aims to introduce the perceived systems intelligence (SI) inventory, developed based on the earlier published self-report SI inventory (Törmänen et al., 2016). It can be used together with earlier managerial level tools for building a learning organization and included in...

Environmental emergency situations can differ in many ways, for instance according to their causes and the dimension of their impacts. Yet, they share the characteristic of sudden onset and the necessity for a coherent and effective emergency management. In this paper we consider decision...

We point out the need for Behavioral Operational Research (BOR) in advancing the practice of OR. So far, in OR behavioral phenomena have been acknowledged only in behavioral decision theory but behavioral issues are always present when supporting human problem solving by modeling. Behavioral...

In the development of new tariffs, customer diversity should be taken into account to achieve more efficient demand-side management goals. This means that customers' reactions to rate changes need to be analysed at an individual customer level. We use daily consumption pattern (DCP) models for...

Purpose Systems intelligence (SI) (Saarinen and Hämäläinen, 2004) is a construct defined as a person’s ability to act intelligently within complex systems involving interaction and feedback. SI relates to our ability to act in systems and reason about systems to adaptively carry out...

This paper presents a class of methods, called constraint proposal methods, for generating Pareto-optimal solutions in two-party negotiations. In these methods joint tangents of the decision makers' value functions are searched by adjusting an artificial plane constraint. The problem of...

We investigate the existence of biases, in particular the so called splitting bias, in a real environmental decision analysis case. The splitting bias refers to a situation where presenting an attribute in more detail may increase the weight it receives. We test whether the splitting bias can be...