Complex Dynamics of Innovation Diffusion

Read full text
Authors: Lyudmyla Маlyarets, Anatolii V. Voronin, Irina L. Lebedeva, Stepan S. Lebedev
Cited by: 0

Abstract

To search for innovative ways of sustainable growth within the trend of global economic expansion, it is necessary to have formalized approaches within the framework of the synergetic paradigm – the theory of self-organization in open non-equilibrium systems. One of the most important directions in this regard is the conception of innovation diffusion. In this study, the classical logistic model of the spread of an innovative product was considered. The development of the mathematical model was implemented based on the dynamic balance of «supply – demand» in the innovation market, both in discrete and continuous time. At the same time, the linear dependence of demand on the total volume of innovative products was taken into account, while on the supply side, the possibility of technological production constraints was considered, which is reflected in the form of a quadratic dependence of the supply function on the quantity of innovative products. In developing the discrete dynamic model, the basic balance equation was transformed into the form of the classical logistic equation with known properties, with a further detailed analysis provided in the study. The theoretical results were confirmed through corresponding numerical computations and simulation modeling, which illustrated important dynamic regimes such as limit cycles with period doubling, irregular chaotic behavior, and others. In continuous time, a mathematical model of innovation diffusion was constructed taking into account delays (distributed time lag), considered as a second-order dynamic process. The model was reduced to a system of two differential equations, in which limit cycles with varying stability characteristics can exist. Both mathematical models – discrete and continuous – have the same equilibrium states (fixed points), and the dynamics near these points significantly depend on the initial conditions.

Fields of Study & Subjects

Innovation Diffusion and Forecasting Economic Growth and Productivity Mathematical and Theoretical Epidemiology and Ecology Models

Publication details

Journal / source
THE PROBLEMS OF ECONOMY
Volume
4
Issue
66
Pages
417–427
Publication date
1 February 2026
Language
EN