ABSTRACT

The reader interested in learning the details of the process can refer to Ferretti and Gandino. Multi-methodology interventions are attracting increasing interest in both management and public contexts as they integrate qualitative and quantitative approaches to better support all stages of a decision-making process, from the initial divergent one to the final convergent one. When decision makers have a clear set of objectives to achieve in a certain decision-making context, it is helpful to measure the performance of each alternative on these objectives and then aggregate performances and preferences into an overall score for each alternative. The techniques proposed in this chapter should thus be considered as “process boosts” and in particular as “framing boosts” and as “preference elicitation boosts”, which could be added to first taxonomy of long-term boosts proposed by Hertwig and Grüne-Yanoff, i.e., risk literacy boosts, uncertainty management boosts, and motivational boosts.