Title :
Technology management with mathematical diffusion models
Author_Institution :
Inf. Technol., Tampere Univ. of Technol., Finland
Abstract :
The life time of each technology consists of phases following each other. The phases can be identified by the typical features driving the improvements in a phase. Theoretical and empirical studies on technology management cover a wide variety of different efforts to model these dynamics. The dynamics include features common to all technologies but also features individual to a certain technology only. This paper gives an overview of mathematical models diffusion dynamics. The aim of the paper is to increase understanding of the life cycle analysis of different technologies. Deeper understanding supports better quality of technology management from the managers point of view and increases the predictability of future changes as well as the engineering process in general
Keywords :
management; technological forecasting; dynamics modelling; engineering process; future changes predictability; life cycle analysis; mathematical diffusion models; technological forecasting; technology management; technology management quality; Extrapolation; Information technology; Logistics; Mathematical model; Paper technology; Predictive models; Quality management; Technology forecasting; Technology management; Time series analysis;
Conference_Titel :
Innovation in Technology Management - The Key to Global Leadership. PICMET '97: Portland International Conference on Management and Technology
Conference_Location :
Portland, OR
Print_ISBN :
0-7803-3574-0
DOI :
10.1109/PICMET.1997.653664