A metric to characterize major innovation sequences and its application in three industrial sectors: from random emergence to waterfall phenomena - Mines Paris
Communication Dans Un Congrès Année : 2013

A metric to characterize major innovation sequences and its application in three industrial sectors: from random emergence to waterfall phenomena

Kenza El Qaoumi
Pascal Le Masson
Benoit Weil

Résumé

Are Major innovations rare or frequent? Is there any relationship between major innovations? Do major innovations occur independently of the others? In order to answer these questions, we build a new tool of measuring major innovations sequences, based on Lancaster's approach to consumer theory. This new tool allows us to characterize major innovation sequences and its application in three industrial sectors (Mobile phone, Iron, Automobile). The main results of our empirical work show that Major Innovations (MI) are not rare and reveal the existence of a relationship - with a chain reaction effect- between successive major innovations. This article treats especially major innovations and it focuses on characterizing the sequences and the increasing rhythm of major innovations.
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Dates et versions

hal-00920984 , version 1 (19-12-2013)

Identifiants

  • HAL Id : hal-00920984 , version 1

Citer

Kenza El Qaoumi, Pascal Le Masson, Aytunç Ün, Benoit Weil. A metric to characterize major innovation sequences and its application in three industrial sectors: from random emergence to waterfall phenomena. 20th IPDM 2013, Paris : France (2013), Jun 2013, Paris, France. ⟨hal-00920984⟩
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