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

Kenza El Qaoumi (1) , Pascal Le Masson (1) , Aytunç Ün (1) , Benoit Weil (1)

1 CGS i3 - Centre de Gestion Scientifique i3

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.

Mots clés: Major Innovation; Metric; Learning Effect

Domaines: Gestion et management

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⟩