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Table 15.1 – The components of the futures methodologies<br />

Scenario planning Decision analysis Delphi<br />

Delphi is usually focused on<br />

forecasting the occurrence of a<br />

Decision analysis is conventionally<br />

undertaken within a singular<br />

Future orientation Multiple frames of the future are<br />

constructed during the process<br />

single event or quantity<br />

Structuring is achieved by the<br />

controlled exchange of<br />

information between anonymous<br />

panelists over a number of<br />

rounds (iterations)<br />

Expert panelists exchange their<br />

existing estimates. Individual<br />

experts can hold, or change, their<br />

estimates on the basis of<br />

feedback of the estimates of<br />

other panelists<br />

The statistical average of the<br />

estimates on the final Delphi<br />

round is taken as the group<br />

judgment<br />

general frame of the future<br />

Quantitative decomposition into<br />

probabilities, payoffs and<br />

decision trees<br />

Qualitative decomposition into<br />

critical uncertainties and trends.<br />

An emphasis on understanding<br />

causality<br />

Structure of<br />

judgment<br />

inputs<br />

Fresh information may be sought if<br />

the analysis indicates that a<br />

decision is sensitive to small<br />

changes in judgmental inputs<br />

Scenario team members exchange<br />

existing opinions on issues of<br />

concern and ‘remarkable people’<br />

systematically provide insight on<br />

issues of critical uncertainty<br />

Information<br />

orientation<br />

Focus on combining divergent<br />

opinions by averaging and<br />

reduction<br />

Dissenting opinions are given<br />

‘airtime’ which is preserved, and<br />

combined with the opinions of<br />

others, while maintaining<br />

Process<br />

orientation<br />

None<br />

The result of the analysis is a single<br />

recommended decision for<br />

subsequent implementation<br />

divergence<br />

Action orientation The result is shared understanding<br />

within the management team, of<br />

causally determined futures that<br />

can galvanize managerial action<br />

to avoid unfavorable futures or<br />

facilitate the occurrence of<br />

favorable ones

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