Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Partial permanence and extinction in an N-species nonautonomous Lotka-Volterra competitive system
Computers & Mathematics with Applications
The impact of regulation on the retail prices in fixed-line telephony across the European Union
Telecommunications Policy
Diffusion models of mobile telephony in Greece
Telecommunications Policy
A dynamic competition analysis on the Korean mobile phone market using competitive diffusion model
Computers and Industrial Engineering
Modeling gender evolution and gap in science and technology using ecological dynamics
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
The evolution of market concentration in high technology saturated markets with a dominant player is dynamically estimated, based on concepts of population biology. The mathematical description was performed using the Lotka-Volterra model and the corresponding parameters were estimated by genetic algorithms. The proposed methodology shows itself capable of estimating market equilibrium and market concentration, the latter expressed by corresponding market shares. Evaluation of the presented methodology in the area of fixed lines telecommunications market led to accurate results, as compared to historical data, in a specific case study. This methodology can provide valuable inputs for managerial decisions, strategic planning and regulatory decisions to the players of a high technology market.