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Identifying Technology Applications Using an Adaptation of the Lead User Method

Authors: Joachim Henkel; Stephan Jung;

Identifying Technology Applications Using an Adaptation of the Lead User Method

Abstract

In this paper, we suggest an approach to application identification based on von Hippel’s lead user method, adapted in such a way that it starts from a given technology rather than from an application area. Our approach complements existing methods for application identification, but it also differs from them by focusing on trends, and thus dynamic aspects of needs, by involving users at the leading edge of the market and by leapfrogging the manufacturer, thus eventually creating market pull from lead users. We describe the method, demonstrate its viability using exploratory case studies, and provide theoretical arguments regarding when and why a disintermediation of the manufacturer is effective.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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