The traditional way of employing operational research in organisational interventions has been the expert mode. In this mode, the problem situation faced by the client is given to the operational research consultant, who then builds a model of the situation, solves the model to arrive at an...

Multi-criteria portfolio modelling has been extensively employed as an effective means to allocate scarce resources for investment in projects when considering costs, benefits and risks. Some of these modelling approaches allow the grouping of projects into organisational areas, thus also...

While the facilitated modelling literature recognises the importance of the group process within facilitated modelling workshops, published empirical research rarely examines their dynamic nature. In this paper, we address this gap in the literature in two ways. First, we propose to locate...

This paper reports on the design and implementation of a multi-methodology intervention intended to support a budget prioritisation decision by a multi-organisational group tasked with tackling the problem of teenage pregnancy in an English borough. The intervention approach involved the...

In the fast moving software industry, projects have been increasingly developed by distributed teams, which are located in geographically remote offices and collaborate using information communication technologies. In such environments, project distribution presents specific challenges, as work...

The integrated use of Scenario Planning and Multi-Criteria Decision Analysis (MCDA) has been advocated as a powerful combination for providing decision support in strategic decisions. Scenario Planning helps decision makers in devising strategies and thinking about possible future scenarios;...

Multi-Criteria Portfolio Analysis (MCPA) models have been extensively employed as an effective means to allocate scarce resources for investment in projects or services, considering different organisational areas and balancing costs, benefits & risks. However, structuring this type of models in...

In recent years the field of decision analysis has been heavily influenced by the "analytics'' perspective, which integrates advanced data-mining and learning methods, often associated with increasing access to "Big-Data", with decision support systems. This rapidly growing and very successful...