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Innovation and Ontologies

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66 Roadmap for the Fuzzy Front End<br />

Focus groups are consequently a useful, relatively effortless tool for exploration, especially if<br />

there is little prior knowledge about a particular problem (Achenbaum, 2001; Reid & Reid, 2005).<br />

By encouraging discussion among group members, rich, descriptive information can be collected<br />

(Hartmann, 2004; Henderson, 1992). Their benefits make focus groups a useful tool for concept<br />

gathering in the development stage.<br />

The most important risk of focus groups is the identification of the right participants: participants<br />

must (a) have the appropriate information <strong>and</strong> (b) be willing <strong>and</strong> able to share it (Hartmann,<br />

2004). Thirdly, knowledge spill-over might be a problem to consider if topics are specific enough.<br />

Usually, companies tend to invite a representative mixture of their (possible) customers. Other<br />

strategies like selecting participants at r<strong>and</strong>om can be used, too.<br />

Today, the integration of the internet in focus group methodology should be considered.<br />

Possibilities include virtual focus groups (Reid & Reid, 2005) or the use of existing online communities<br />

(Dahan & Hauser, 2002; Franke, 2005; Henkel & S<strong>and</strong>er, 2003). With respect to the latter,<br />

Herstatt & S<strong>and</strong>er (2004a) differentiate between<br />

• passive online integration: i.e. observation of ongoing discussions in an existing community <strong>and</strong><br />

• active observation: that is, the establishment of an interactive relationship between customer <strong>and</strong><br />

company, e.g. via idea competitions or toolkits for user innovation (Franke & Piller, 2004;<br />

Franke & Piller, 2004; Franke, 2005; Thomke & von Hippel, 2002; Walcher, 2007).<br />

Disregarding the improvements in terms of cost <strong>and</strong> speed realized by virtual focus groups <strong>and</strong><br />

online communities, Gerybadze states that face-to-face communication in innovation<br />

communities can hardly be substituted by any different form of communication (Gerybadze,<br />

2003). As another drawback, online communities often involve problems of adequate sampling<br />

(similar to online conjoint analyses, cf. 2.2.3.3).<br />

2.2.3.6 Compression<br />

The method described in this paragraph is not only last in the list, but should also be the final<br />

step of Ideation. Compression is a method which can only be used after multiple ideas have been<br />

derived, by use of one or more of the methods suggested. These early fuzzy solutions to<br />

problems are heterogeneous drafts that need to be structured in order to be assessed by the Jury<br />

of Ideas during the next phase.<br />

Structuring is done by compression, that is, an analysis <strong>and</strong> synthesis of the draft ideas at h<strong>and</strong><br />

(Br<strong>and</strong>enburg, 2002; Gerhards, 2002). Sometimes, analysis already takes place during Ideation.<br />

Especially with interactive settings like lead user workshops, it is a natural closing activity to<br />

jointly cluster the developed ideas. In this case, this step is integrated in the respective interactive<br />

session.

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