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Innovation and Ontologies

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Types of <strong>Innovation</strong> 21<br />

1.2.2.2 Radical <strong>Innovation</strong><br />

[…] extent to which the structural arrangement differs from existing ones […]<br />

with products or services the amount of change in the physical design […] or<br />

the design of the procedures involved in the service […]. (Knight, 1967)<br />

Radical innovations are often induced by major technological, market or political shifts or<br />

dynamism which transform prevailing knowledge <strong>and</strong> demolish existing market structures as well<br />

as barriers to entry. Existing markets can be transformed or extended, new ones might be opened<br />

up (Assink, 2006; Ettlie & Subramaniam, 2004). In this context, the terms of radical, disruptive,<br />

discontinuous or ‘do different’ innovations coexist (Bessant, Birkinshaw & Delbridge, 2004;<br />

Tidd, Bessant & Pavitt, 2005; Tushman & O'Reilly, 2002). These products, processes or services<br />

have either unprecedented performance features or familiar features that offer significant,<br />

unexpected improvements in performance or cost (Leifer, O'Connor & Rice, 2001). After their<br />

introduction, rules of the game have shifted (DeTienne & Koberg, 2002).<br />

Managing innovation has consequently increasingly become a process of exploration <strong>and</strong> coevolution<br />

under conditions of unforeseeable uncertainty 21 , complexity 22 <strong>and</strong> high velocity<br />

(Bessant, 2005; Bourgeois III & Eisenhardt, 1988; Phillips, Noke, Bessant & Lamming, 2004;<br />

Sommer & Loch, 2004; Tidd, Bessant & Pavitt, 2005; Veryzer, 2005).<br />

Unfortunately, wrong estimation of the degree of innovativeness (<strong>and</strong> the related risks) is the<br />

rule, not the exception. This is especially frequent within small <strong>and</strong> medium sized enterprises<br />

which have generally been found more innovative (proportionate to their size) (Ettlie, Bridges &<br />

O'Keefe, 1984; Gassmann, 2001; Hauschildt & Salomo, 2004; Schlaak, 1999). To avoid surprises,<br />

it is important to decide early on in the innovation process about the kind of innovation intended<br />

– by determining systematically the degree of innovation <strong>and</strong> its consequences 23 (Ettlie &<br />

Subramaniam, 2004; Hauschildt & Salomo, 2004; Hauschildt & Salomo, 2007; Horsch, 2003).<br />

Radical innovation has the highest level of novelty to a firm. This induces changes which go<br />

beyond the area of the innovative product or service. Due to its complex <strong>and</strong> discontinuous<br />

nature, radical innovation changes the set of rules in a number of areas, as presented in figure 8<br />

(Bessant, 2003; Hauschildt & Salomo, 2004; Herstatt, Verworn & Nagahira, 2004; Pleschak &<br />

Sabisch, 1996; Phillips, Noke, Bessant & Lamming, 2004; Reichwald & Piller, 2006; Tidd, Bessant<br />

& Pavitt, 2005; Utterback & Acee, 2005). No one knows what the configuration of technological<br />

means <strong>and</strong> market needs will be after radical innovation, first inferior to the state of the art, but<br />

with time, possibly able to replace it (Christensen, 1997).<br />

21 Unforeseeable uncertainty is defined as the inability to recognize <strong>and</strong> articulate relevant variables <strong>and</strong> their functional relationships (Sommer &<br />

Loch, 2004). Engineers refer to it as unknown unknowns, or ‘unk-unks’ (Widemann, 1998).<br />

22 Complexity stems from “a large number of parts that interact in non-simple ways, [such that] given the properties of the parts <strong>and</strong> the laws of<br />

their interactions, it is not a trivial matter to infer the properties of the whole” (Simon, 1998). Thus, complexity has two separate dimensions:<br />

system size (number of variables which is large) <strong>and</strong> interactions (correlation of neighbouring points which is low)(Sommer & Loch, 2004).<br />

23 Interesting with relation to the empirical field of SME is an empirical finding of Hauschildt <strong>and</strong> Walther that a relatively high degree of<br />

innovation positively influences the innovation process <strong>and</strong> claims more resources – which, in turn, improves the success of innovation<br />

(Hauschildt & Walther, 2003).

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