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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Research Policyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2004 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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The nature of lead users and measurement of leading edge status

Authors: Pamela D Morrison; John H Roberts; David F Midgley;

The nature of lead users and measurement of leading edge status

Abstract

Abstract “Lead users” are defined as being at the leading edge of markets, and as having a high incentive to innovate. Empirical research has shown the value of lead user need and solution data to new product development processes. However, the nature of the lead user construct itself has not been studied to date. In this paper we fill this significant gap by proposing and evaluating a continuous analog to the lead user construct, which we call leading edge status (LES). We establish the validity and reliability of LES and examine the characteristics of users having high levels of this variable. We also offer a first exploration of how LES is related to traditional measures in diffusion theory such as dispositional innovativeness and time of adoption (TOA). We find a strong relationship and explain how users with high LES can offer a contribution to both predicting and accelerating early product adoption.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
213
Top 1%
Top 1%
Top 1%
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