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306 Risk and uncertainty management<br />

Cumulative probability<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

Original<br />

−5 0 5 10<br />

Profit $m<br />

After risk<br />

management<br />

Figure 11.5 – The effectiveness of risk management measures<br />

to accept these risks passively, can use the decision model to provide a<br />

structured approach to identifying where effort should be invested in<br />

creating strategies that reduce risks and improve payoffs. The use of<br />

creativity techniques like brainstorming can complement decision analysis<br />

by generating imaginative ideas for reducing risk and identifying<br />

opportunities from management teams. Once generated, these ideas can<br />

then be evaluated using the structure provided by decision analysis.<br />

The benefits of this structured approach to risk management can be<br />

significant and the resulting courses of action can lead to much greater<br />

returns.<br />

Exercise<br />

(1) The AB Charity is planning its annual campaign to raise money.<br />

This year three alternative methods are being considered: (i) street<br />

collections, (ii) a television advertising campaign and (iii) a directmail<br />

appeal. After using simulation to assess the risk associated with<br />

the alternatives the charity’s managers have opted for a direct-mail<br />

appeal.<br />

The direct-mail appeal will involve sending out 343 000 letters to<br />

selected people. To encourage donation these will include a free<br />

ballpoint pen displaying the charity’s logo and people not replying<br />

after three weeks will receive a reminder. While the fixed costs of<br />

the campaign and the cost of sending out each letter and reminder<br />

are known for certain the charity’s managers have had to estimate<br />

probability distributions for the following four factors:

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