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Defence TNO | Knowledge for business Bringing Causal Loop Diagrams to life MARVEL – Policy Evaluation You want to investigate a policy intervention but you do not have the data for a quantified Stock and Flow Diagram? Then MARVEL may help. MARVEL adds information to a Causal Loop Diagram that is partly expressed in qualitative terms. The results give an initial insight into the expected effects of a policy and act as a guideline for finding the best policy. Available budget Need to change + Cost effectiveness + Management quality + Available (external) resources + + + Number of + employees - Software management organisation capacity Costs - Resistance against software Management knowledge level Production efficiency + - Clear mandate assignment + + Decision quality Decision speed Number of Number of ad hoc parties involved design decisions - Software usage - + Software quality + + + - + Production + quality + Software acceptance + Design quality - Outcomes MARVEL offers insight into: 1 General problem structure 2 Dynamic responses to policy interventions 3 “Optimal” policy intervention 4 Most powerful mechanisms 1. Problem structure As with a normal Causal Loop Diagram, a MARVEL diagram clarifies the problem structure but also identifies potential policy intervention points and goals. In addition, it shows the speeds and strengths of causal relations. Figure 1. Example of a MARVEL diagram. Method in between CLD and SFD MARVEL is a new analysis method. It is designed as a tool for conducting a first policy intervention analysis for problems with a limited availability of quantitative data. MARVEL offers more analysis opportunities than a Causal Loop Diagram and requires fewer data than a quantified Stock and Flow Diagram. Focus on changes MARVEL interprets a policy intervention as a change in selected model variables. MARVEL then determines the propagation of these interventions through the model in a special way, providing an initial insight into the effects that may be expected from an intervention. Speeds and strengths MARVEL adds speed and strength to each causal relation, using qualitative terms such as “fast” or “weak”. Policy interventions MARVEL allows you to specify the variables in which to intervene. You can also specify a qualitative term for the ease with which that intervention point can be used. Performance measures MARVEL integrates performance measures to evaluate the effects of potential interventions. These measures allow you to evaluate the intervention effects from an aggregate to a detailed level. 2. System behavior MARVEL analyzes the effects of policy interventions over time. It determines how changes imposed on policy intervention points cause other aspects of a problem to change and interact. 3. “Optimal” policy MARVEL is implemented in a software tool called TIM (see www.tno.nl/tim). This tool enables you to find the interventions or combinations of interventions that have the best effects and delivers rapid insights into the best policy options. 4. Most powerful mechanisms MARVEL allows you to find the most powerful mechanisms. These are the loops with the greatest product of total loop speed and total loop strength. This static analysis option supplements the dynamic system behavior analysis. Defence MARVEL – Policy Evaluation TNO Defence, Security and Safety Illustrative example A company is looking for ways to speed up the introduction of a business-critical software package. Possible policy interventions include a budget increase or a clear mandate assignment. A group of stakeholders is asked to investigate the problem. They produce the MARVEL diagram as shown in Figure 1. Figure 1 displays the essential problem aspects they identified, plus the causal relations. Each causal relation has a speed, shown by the delay stripes, and a strength, shown by the type of line and its thickness. Four potential policy intervention points are recognized and marked with green control buttons. In addition, three goals for evaluating the policy intervention effects are identified and marked with bullets. The dynamic system response to each potential policy option is determined. The dynamic effects of a change in budget are shown in Figure 2. The performances of the various policy intervention options are subsequently compared, in this case for each relevant moment in time as shown in Figure 3. Based on these results, the company decides to improve management knowledge, as this option produces the best long term effects. TNO Defence, Security and Safety provides innovative contributions to the advance of comprehensive security and is a strategic partner of the Dutch Ministry of Defence to build up the defence knowledge-base. We employ our acquired knowledge for and together with contractors. Benefits of MARVEL • Limited data needed for first policy evaluation • Easily understood concepts: • causal effects • speeds and strengths of causal relations • intervention points and goals • Qualitative terms for speeds, strengths, goal relevance and more Drs. ing. C.W. (Kees) d' Huy. Oude Waalsdorperweg 63 P.O. Box 96864 2509 JG The Hague The Netherlands P +31 70 374 00 21 F +31 70 374 06 42 [email protected] www.tno.nl Figure 2. Response to an intervention on budget. DenV S080127 Figure 3. Performance of four intervention options.