DocumentCode :
1819030
Title :
A system dynamics approach to technology interaction including cyclic behaviour
Author :
Pretorius, Leon ; Pretorius, J.H.C. ; Benade, S.J.
Author_Institution :
Dept. of Eng. & Technol. Manage., Univ. of Pretoria, Pretoria, South Africa
fYear :
2013
fDate :
July 28 2013-Aug. 1 2013
Firstpage :
2171
Lastpage :
2180
Abstract :
This paper is an extension of previous research on the simulation of three competing technologies that interact. Some exploration into cyclic behaviour of a modified version of the three technology system is attempted. Technology is considered in this research as a result of innovation, a rate dependent process that may include several non-linearities due to interaction with the environment. Technology growth patterns can be traced in a number of ways. Using bibliometrics as a research data source is one interesting way to trace these technology growth patterns very effectively. In this research the existence of cyclic behaviour in two real life technologies is illustrated using bibliometrics. In this paper a technology system consisting of three interacting technologies is treated and modeled in a coupled manner where the interacting dynamics is described by the Lotka-Volterra system of differential equations. The effect of interaction between the technologies and the period of cyclic behaviour is illustrated parametrically. Furthermore the possible uncertain diffusion effect in one of the technologies is also addressed in this research using a Monte Carlo multivariate simulation technique and a system dynamics approach. The research method is exploratory and case based. This method has been shown before to be useful especially early on in research projects.
Keywords :
Monte Carlo methods; differential equations; human computer interaction; information analysis; Lotka-Volterra system; Monte Carlo multivariate simulation technique; bibliometrics; cyclic behaviour; differential equations; interacting dynamics; rate dependent process; system dynamics approach; technology growth patterns; technology interaction; technology system; uncertain diffusion effect; Bibliometrics; Computational modeling; Equations; Mathematical model; Oscillators; Technological innovation; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technology Management in the IT-Driven Services (PICMET), 2013 Proceedings of PICMET '13:
Conference_Location :
San Jose, CA
Type :
conf
Filename :
6641647
Link To Document :
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