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Responsive Innovation

Why Central Management Should Rely on Peripheral Sensing
Authors: Pedersen, Carsten;

Responsive Innovation

Abstract

In dynamic environments, competitive advantage lies in developing useful knowledge from continuous streams of unstructured and ambiguous data. Frontline employees and certain groups of customers are often the first to sense emerging issues of strate-gic importance due to their experiential insights of the firm’s daily operations. Yet, they are rarely asked to provide updated information about critical issues. The present paper seeks to conceptually develop the notion of responsive innovation, by drawing on literary streams concerning collective sensing, strategic issue diagnosis and integra-tive strategy within a micro foundations perspective. It is posited that companies should root their innovation processes in the collective sensing of frontline-employees and customers that operate around the organizational periphery. This frames the con-cept of responsive innovation, where individuals engaged in the firm’s ongoing busi-ness activities collectively identify issues that central managers can resolve.

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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!
0
Average
Average
Average
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