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Using scenarios in decision making 385<br />

conditions within which the airplane must be able to fly. Under some<br />

wind conditions the airplane may be harder to keep airborne than others<br />

but, essentially, its airframe (i.e. business idea) must be robust.<br />

The second way to utilize the scenarios in a decision process is to evaluate<br />

lower-level strategies or decisions. In the business school example,<br />

this might be an evaluation of a decision option to focus R&D investment<br />

in producing CD ROM versions of course materials. In the semiconductor<br />

manufacturing company example, it might be the decision option of<br />

maintaining or increasing investment in new ceramic packaging production<br />

technology. Essentially, a current strategy, a contemplated strategy,<br />

or a range of alternative strategies can be evaluated for robustness<br />

against constructed scenarios. Figure 15.7 gives a matrix representation<br />

of this evaluation process.<br />

Often no one strategy performs well against the whole range of<br />

constructed scenarios. If you consider strategies 1, 2 and 3 it can be seen<br />

that strategy 1 maximizes the minimum payoff (cf. the maximin criterion<br />

which we discussed in Chapter 5). Given a simple choice between<br />

strategies 1, 2 and 3, then strategy 1 would seem the most robust choice if<br />

we felt it was not possible to say that one scenario was more likely than<br />

another – recall that this is an explicit assumption underpinning scenario<br />

STRATEGY 1<br />

STRATEGY 2<br />

STRATEGY 3<br />

NEW STRATEGY<br />

SCENARIO 1 SCENARIO 2 SCENARIO 3<br />

Figure 15.7 – Testing the robustness of strategies against scenarios

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