An Investigation on the Effectiveness of a Problem Structuring Method in a Group Decision-Making Process

There is no shortage of methods to address messy problems. A messy problem is a system of problems with multiple stakeholders who may hold different views of what is feasible or desirable. Decision-makers in a messy problem are prone to committing an error – especially the Type III error. One of the ways to mitigate the chance of committing the error in a messy problem is to reach a group consensus. Problem Structuring Methods (PSM) are the collections of participatory modeling methods that aim to tackle a messy problem. Despite the positive reports, literature indicates some challenges and criticisms of the effectiveness of PSM applications. One of the main challenges is the difficulty in identifying clear benefits which leads to a lack of interest from a wider community – particularly in the U.S. This study empirically investigates the effectiveness of a PSM in a messy problem to address the present challenges. Confidence can be a proxy to indicate that a group consensus is reached in a messy problem. Experimental research was conducted to assess participants’ problem-solving confidence in a messy problem. The results reveal that participants in the PSM group show a higher level of problem-solving confidence than the control group. It is hoped that the results of this research can inspire and encourage researchers and practitioners in a wider community to acknowledge the effectiveness of PSM, especially in the U.S

Using Strategic Options Development and Analysis (SODA) to Understand the Simulation Accessibility Problem

Simulation modelling is applied to a wide range of problems, including defense and healthcare. However, there is a concern within the simulation community that there is a limited use and implementation of simulation studies in practice. This suggests that despite its benefits, simulation may not be reaching its potential in making a real-world impact. The main reason for this could be that simulation tools are not widely accessible in industry. In this paper, we investigate the issues that affect simulation modelling accessibility through a workshop with simulation practitioners. We use Strategic Options Development and Analysis (SODA), a problem-structuring approach that allows for the stakeholder views to be expressed and linked in a systematic way. The causal map derived represents the emerging concepts and their effects, with the view to identifying their impact on the accessibility problem. We present our analysis of the issues and options identified. Based on our findings, we discuss the implications and recommendations for the future uptake of simulation

Using Strategic Options Development and Analysis (SODA) to understand the simulation accessibility problem

Simulation modelling is applied to a wide range of problems, including defence and healthcare. However, there is a concern within the simulation community that there is a limited use and implementation of simulation studies in practice. This suggests that despite its benefits, simulation may not be reaching its potential in making a real-world impact. The main reason for this could be that simulation tools are not widely accessible in industry. In this paper, we investigate the issues that affect simulation modelling accessibility through a workshop with simulation practitioners. We use Strategic Options Development and Analysis (SODA), a problem-structuring approach that allows for the stakeholder views to be expressed and linked in a systematic way. The causal map derived represents the emerging concepts and their effects, with the view to identifying their impact on the accessibility problem. We present our analysis of the issues and options identified. Based on our findings, we discuss the implications and recommendations for the future uptake of simulation.</p