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336 Resource allocation and negotiation problems<br />

100<br />

75<br />

50<br />

25<br />

0<br />

East<br />

region<br />

Best strategy<br />

Worst strategy<br />

100<br />

50<br />

0<br />

West<br />

region<br />

Best strategy<br />

Worst strategy<br />

Figure 13.2 – A comparison of the East and West regions’ value scales for market share<br />

For short-term profit the weights were calculated directly from the<br />

group’s original monetary estimates. Thus the largest swing between<br />

the worst and best short-term profits offered by the different strategies<br />

was in the East (a difference of $33 million) and this swing was allocated<br />

a weight of 100. The swing between the worst and best level of profits<br />

in the North was only $9 million. Since this was only 27.3% of the<br />

largest swing (i.e. 9/33 × 100) the within-criterion weight allocated to<br />

short-term profits in the North was 27.3. The other profit weights were<br />

calculated in a similar way.<br />

For the other benefits the within-criterion weights were elicited using<br />

a different approach. In the case of ‘Market share’, for example, the<br />

group was asked to imagine the package which would have the least<br />

desirable effect on market share. This would be the package which<br />

involved reducing the operation in the North to three outlets, closing<br />

down the operation in the West and maintaining the status quo in the<br />

other regions. They were then asked: if they could choose to change<br />

just one of the strategies in this package, which change would lead<br />

to the greatest improvement in market share? After some debate, the<br />

group thought that this improvement would be achieved if a switch was

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