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Scenario planning – how to find the right strategy at ... - Roland Berger

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Study 13<br />

5. Deriving<br />

scenarios<br />

To illustr<strong>at</strong>e this step, we return <strong>to</strong> our study of <strong>the</strong> global<br />

manufacturing industry. Based on stakeholder evalu<strong>at</strong>ions, <strong>the</strong><br />

fac<strong>to</strong>rs th<strong>at</strong> influence global manufacturing can be alloc<strong>at</strong>ed<br />

in<strong>to</strong> <strong>the</strong> following c<strong>at</strong>egories:<br />

F4<br />

Influencing fac<strong>to</strong>rs are c<strong>at</strong>egorized<br />

by potential impact and certainty<br />

High<br />

Critical uncertainties<br />

or weak signals (low certainty but highest<br />

impact on <strong>the</strong> scenarios)<br />

Definite trends*<br />

(high certainty, high impact)<br />

Potential<br />

impact<br />

Secondary elements<br />

These elements elements are elimin<strong>at</strong>ed<br />

(low impact)<br />

LOW<br />

LOW<br />

Certainty<br />

high<br />

*<br />

Definite trends:<br />

Growth of developing countries as end-use<br />

markets (e.g. China and India)<br />

Use of nanotechnology, mini<strong>at</strong>uriz<strong>at</strong>ion<br />

and microelectronics<br />

Transition <strong>to</strong> lightweight m<strong>at</strong>erials (e.g. composites)<br />

Source: <strong>Roland</strong> <strong>Berger</strong>

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