REVISITING THE MANAGEMENT OF TECHNOLOGY-PUSH SITUATIONS BY MAXIMIZING DISCOVERY AND INHIBITING SCREENING

Raphaëlle Barbier (1) , Maxime Thomas (1) , Benoit Weil (1) , Pascal Le Masson (1)

1 CGS i3 - Centre de Gestion Scientifique i3

While companies are increasingly investing in the development of new technologies, they are often faced with situations where they have to identify potential applications to a new technology. As it seems to be a major challenge, many methods addressing this application identification issue have been developed. However what makes them more or less successful remains unclear. Our paper proposes to explore the efficiency of an application identification method maximising functional discovery and inhibiting screening. Our research work relies on an empirical methodology, more specifically the efficiency of our method was tested on a single case study that respected very specific conditions. Maximising functional discovery and inhibiting screening proved to be an efficient way of identifying applications to the technology. This result provides new ways of managing technology-push method by highlighting efficient ways of designing application identification methods.

Domaines: Sciences de l'Homme et Société; Gestion et management

Raphaëlle Barbier, Maxime Thomas, Benoit Weil, Pascal Le Masson. REVISITING THE MANAGEMENT OF TECHNOLOGY-PUSH SITUATIONS BY MAXIMIZING DISCOVERY AND INHIBITING SCREENING. 26th Innovation and Product Development Management Conference (IPDMC 2019), Jun 2019, Leicester, United Kingdom. ⟨hal-02168040⟩