In this work,dynamics of diffusion of innovation in the smartphone markets is modeled by using an agent-based simulation in a period of 28 quarters starting from 2009.Rapid changes in smartphone technology affected th...In this work,dynamics of diffusion of innovation in the smartphone markets is modeled by using an agent-based simulation in a period of 28 quarters starting from 2009.Rapid changes in smartphone technology affected the consumer preferences and two operating systems,namely Android and iOS,out of over 10 operating systems,and dominated the smartphone markets in a period of 6 years.The model aims to study the conditions of competition and adoption among similar high technology products.Relative roles of the essential parameters,namely affordability and social effects have been the main interest points in these studies.For this end,a simple,Cobb–Douglas production relation-based model on simple square lattice is introduced.The model parameters are adjusted to match the simulation results with the actual market shares data obtained from Statista.A clear relation between the model parameter values and global sales of different operating systems is observed.展开更多
文摘In this work,dynamics of diffusion of innovation in the smartphone markets is modeled by using an agent-based simulation in a period of 28 quarters starting from 2009.Rapid changes in smartphone technology affected the consumer preferences and two operating systems,namely Android and iOS,out of over 10 operating systems,and dominated the smartphone markets in a period of 6 years.The model aims to study the conditions of competition and adoption among similar high technology products.Relative roles of the essential parameters,namely affordability and social effects have been the main interest points in these studies.For this end,a simple,Cobb–Douglas production relation-based model on simple square lattice is introduced.The model parameters are adjusted to match the simulation results with the actual market shares data obtained from Statista.A clear relation between the model parameter values and global sales of different operating systems is observed.
