Technology forecasting: The case of Computational Fluid Dynamics (CFD)

L. Pretorius, S. J. Benade, S. Kruger

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Forecasting emerging technologies as well the rate of diffusion of resultant products are complex in the context of management of technology usually because of a lack of relevant data. Techniques such as bibliometric analysis and the Bass diffusion model are utilized in this paper to assess the growth rate and market penetration of Computational Fluid Dynamics (CFD) as a technology. The penetration and growth rate of user acceptance of two CFD codes (not identified) are simulated. Furthermore a technology forecasting model of research and innovation in the field of application of CFD in the assessment of greenhouses is presented.

Original languageEnglish
Title of host publicationProceedings of the 4th IEEE International Conference on Management of Innovation and Technology, ICMIT
Pages7-11
Number of pages5
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event4th IEEE International Conference on Management of Innovation and Technology, ICMIT - Bangkok, Thailand
Duration: 21 Sept 200824 Sept 2008

Publication series

NameProceedings of the 4th IEEE International Conference on Management of Innovation and Technology, ICMIT

Conference

Conference4th IEEE International Conference on Management of Innovation and Technology, ICMIT
Country/TerritoryThailand
CityBangkok
Period21/09/0824/09/08

Keywords

  • Bass diffusion model
  • Bibliometric analysis
  • CFD
  • Management of technology

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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