Innovation theory and the logic of generativity: from optimization to design, a new post-decisional paradigm in management science

Pascal Le Masson (), Armand Hatchuel () and Benoit Weil ()
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Pascal Le Masson: CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique
Armand Hatchuel: CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique
Benoit Weil: CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique

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Abstract: In this paper we contribute to show that innovation theory can today strongly contribute to the (re)foundation of management. Innovation theory is teared apart between the historical optimal-decision-making paradigm and the new perspective on creation. Still contemporary advances in design theory provide an integrated framework that accounts for decision andcreation, their similarities and differences, and enables to introduce a relativity principle, the unknown (or the expected generativity), to account for the continuity from one activity to the other. We show how applying that general framework and that relativity principle can help extend decision-based models (decision under uncertainty, problem solving, combinatorics) and how this extension helps revisit basic managerial notions built on these models (risk management, knowledge management, coordination…). We conclude on some of the perspectives opened by this relativity principle for management.

Keywords: Decision theory; design theory; unknown; uncertainty (search for similar items in EconPapers)
Date: 2016
New Economics Papers: this item is included in nep-ino
Note: View the original document on HAL open archive server: https://minesparis-psl.hal.science/hal-01481881v1
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Published in European Academy of Management (EURAM 2016), 2016, Paris, France

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01481881

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