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