Accelerating business innovation through emergent computation models and methods

Nelson Alfonso Gomez Cruz, David Enrique Anzola Pinzon

Research output: Contribution to conferenceAbstractpeer-review


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.
Original languageEnglish (US)
StatePublished - Jun 30 2017
EventConference on Computational Management Science - University of Bergamo, Georgia Institute of Technology, Bergamo, Italy
Duration: May 30 2017Jun 1 2017


ConferenceConference on Computational Management Science
Abbreviated titleCCMS2017
Internet address


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