Accelerating business innovation through emergent computation models and methods

Nelson Alfonso Gomez Cruz, David Enrique Anzola Pinzon

Producción científica: Contribución a una conferenciaResumenrevisión exhaustiva

Resumen

Although several models of the innovation process have been proposed, those inspired by biological evolution
have been shown to better capture the most distinctive features of business innovation. We claim that non-conventional methods developed in bio-inspired engineering and computing provide robust and effective mechanisms to understand, foster and evaluate business innovations within organizational environments.
These methods, we argue, act as innovation accelerators. Adaptive business intelligence is introduced as a methodological framework to study the innovation process.
Idioma originalInglés estadounidense
EstadoPublicada - jun. 30 2017
EventoConference on Computational Management Science - University of Bergamo, Georgia Institute of Technology, Bergamo, Italia
Duración: may. 30 2017jun. 1 2017
https://dinamico2.unibg.it/cms2017/

Conferencia

ConferenciaConference on Computational Management Science
Título abreviadoCCMS2017
País/TerritorioItalia
CiudadBergamo
Período5/30/176/1/17
Dirección de internet

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