Christos Michalakelis

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a r t i c l e i n f o a b s t r a c t Forecasting diffusion of new technologies is usually performed by the means of aggregate diffusion models, which tend to monopolize this area of research and practice, making the alternative approaches, like the Box-Jenkins, less favourable choices due to their lack of providing accurate long-term predictions. This(More)
This study contributes to the current literature of eGovernment adoption, by proposing a parsimonious, yet comprehensive model, based on three socioeconomic theories namely, institutionalism, endogenous and exogenous growth. Using this framework as the guiding theoretical lens, critical factors are identified, while their impact is evaluated with an(More)
—Based on concepts of ecology modeling and specifically on population biology, a methodology for describing a high-technology market's dynamics is developed and presented. The importance of the aforementioned methodology is its capability to estimate and forecast the degree of competition, market equilibrium , and market concentration, the latter expressed(More)
New product diffusion process studies focus mainly on estimating the adoption rate of the product, within the boundaries of the targeted market. However, and especially for high technology and telecommunications products , it is very likely the case that products or services are introduced simultaneously into a number of market segments, a fact that it is(More)
This chapter is concerned with the methodologies for the study of the diffusion patterns and demand estimation, as well the pricing schemas for broadband telecommunication services in Europe. Along with the introduction of diffusion models and price indexes which can represent broadband convergence and diversity, a description of the theoretical models and(More)
The objective of the present research is to build an empirical Lotka-Volterra system using real-time data and information from the postpaid and prepaid mobile telecommunications subscribers in the OECD area. Genetic algorithms are used in order to specify the appropriate coefficients of the corresponding predator-prey competition system, where the pre-paid(More)