The behaviour of the actors in a decision aid process is determined by different factors, all of which have an impact on the effectiveness of the process and its results. A framework, originally created to document decision aid processes and to study the reasons for backward and forward cycles in the process, has been used to comparatively analyse several multi-criteria decision aid interventions. The study has led to the identification of three basic process typologies, in relation with some organisational and processual complexities and factors which, as behavioural aspects, have the main influence on the interaction between the analysts and actors of a decision aid process. The work is a proposal for the behavioral OR research agenda
AbstractOn the basis of an extensive interdisciplinary literature review proactive decision-making (...
Behavior analysts have developed powerful methodologies to assess central phenomena in areas that ha...
Purpose – This paper aims to study how biases in decision-making processes could be reduced. In this...
The behaviour of the actors in a decision aid process is determined by different factors, all of whi...
This study presents a framework for understanding task and psychological factors affecting reliance ...
Purpose – This paper aims to study how biases in decision-making processes could be reduced. In this...
The prior art explores decision problems descriptively, providing a description of the factors impor...
This study complements and extends prior decision aid (DA) research by examining the DA reliance beh...
The very nature of decision support systems (DSS) is to guide and support the user. Yet decisional g...
Multi-criteria decision analysis (MCDA) involves asking decision makers difficult questions, and can...
A multicriteria decision aid (MCDA) process is developed by means of interaction with decision maker...
Multi-criteria decision analysis (MCDA) involves asking decision makers difficult questions, and can...
ABSTRACT: BACKGROUND: A growing body of literature documents the efficacy of decision support interv...
International audienceThe multi-criteria decision aiding (MCDA) process can be applied in many field...
The primary role of a decision aid is to guide and support a decision maker. As reliance on a decisi...
AbstractOn the basis of an extensive interdisciplinary literature review proactive decision-making (...
Behavior analysts have developed powerful methodologies to assess central phenomena in areas that ha...
Purpose – This paper aims to study how biases in decision-making processes could be reduced. In this...
The behaviour of the actors in a decision aid process is determined by different factors, all of whi...
This study presents a framework for understanding task and psychological factors affecting reliance ...
Purpose – This paper aims to study how biases in decision-making processes could be reduced. In this...
The prior art explores decision problems descriptively, providing a description of the factors impor...
This study complements and extends prior decision aid (DA) research by examining the DA reliance beh...
The very nature of decision support systems (DSS) is to guide and support the user. Yet decisional g...
Multi-criteria decision analysis (MCDA) involves asking decision makers difficult questions, and can...
A multicriteria decision aid (MCDA) process is developed by means of interaction with decision maker...
Multi-criteria decision analysis (MCDA) involves asking decision makers difficult questions, and can...
ABSTRACT: BACKGROUND: A growing body of literature documents the efficacy of decision support interv...
International audienceThe multi-criteria decision aiding (MCDA) process can be applied in many field...
The primary role of a decision aid is to guide and support a decision maker. As reliance on a decisi...
AbstractOn the basis of an extensive interdisciplinary literature review proactive decision-making (...
Behavior analysts have developed powerful methodologies to assess central phenomena in areas that ha...
Purpose – This paper aims to study how biases in decision-making processes could be reduced. In this...