Skip to Main content Skip to Navigation

Couplages science – industrie à double impact : modélisation et tests empiriques

Abstract : Contemporary grand challenges require the conjoint development of new scientific discoveries and technical innovations. Nevertheless, the relations between (1) scientific research activities and (2) product, process, or service development activities mainly look like a double hurdle. In many projects, scientific impact would seem to be made at the expense of technological impact, and vice-versa. Nevertheless, by studying historical or recent cases, this research suggests the hypothesis of a "simultaneous double impact" model between science and industry. Through an exploratory analysis based on design theories, the academic engagement and the combinatorial innovation literatures, the thesis provides a formal model of such a relation by specifying their conditions of existence and expected performances. The research brings an empirical demonstration of the simultaneous double impact model through a case study in the agrifood industry. Finally, the formal model constitutes a framework for the four essays of the thesis. The first two essays aim at demonstrating the historical dynamic and performances of the simultaneous double impact model. The first analyzes "fundamental sciences" through a longitudinal analysis of Nobel laureates. The second explores "applied sciences" by demonstrating the model performances in university-industry collaborative Ph.D. The third essay discusses the model institutional conditions in corporate sciences by reviewing the inventive dynamic in the oil & gas industry. Finally, the fourth essay reflects on the model resilience during significant crisis by studying the effects of coronavirus crisis in the long run.
Document type :
Complete list of metadata
Contributor : ABES STAR :  Contact
Submitted on : Thursday, November 18, 2021 - 3:28:18 PM
Last modification on : Saturday, November 20, 2021 - 3:05:45 AM
Long-term archiving on: : Saturday, February 19, 2022 - 7:26:41 PM


Version validated by the jury (STAR)


  • HAL Id : tel-03435091, version 1


Quentin Plantec. Couplages science – industrie à double impact : modélisation et tests empiriques. Gestion et management. Université Paris sciences et lettres, 2021. Français. ⟨NNT : 2021UPSLM027⟩. ⟨tel-03435091⟩



Record views


Files downloads