Application of the evolution theory in modelling of innovation diffusion Cover Image

Application of the evolution theory in modelling of innovation diffusion
Application of the evolution theory in modelling of innovation diffusion

Author(s): Milan Krstić, Ana Skorup, Đorđe Minkov
Subject(s): Economy
Published by: Visoka škola za poslovnu ekonomiju i preduzetništvo
Keywords: evolution theory; 'memes'; innovation; diffusion; modelling

Summary/Abstract: The theory of evolution has found numerous analogies and applications in other scientific disciplines apart from biology. In that sense, today the so-called 'memetic-evolution' has been widely accepted. Memes represent a complex adaptable system, where one 'meme' represents an evolutional cultural element, i.e. the smallest unit of information which can be identified and used in order to explain the evolution process. Among others, the field of innovations has proved itself to be a suitable area where the theory of evolution can also be successfully applied. In this work the authors have started from the assumption that it is also possible to apply the theory of evolution in the modelling of the process of innovation diffusion. Based on the conducted theoretical research, the authors conclude that the process of innovation diffusion in the interpretation of a 'meme' is actually the process of imitation of the 'meme' of innovation. Since during the process of their replication certain 'memes' show a bigger success compared to others, that eventually leads to their natural selection. For the survival of innovation 'memes', their manifestations are of key importance in the sense of their longevity, fruitfulness and faithful replicating. The results of the conducted research have categorically confirmed the assumption of the possibility of application of the evolution theory with the innovation diffusion with the help of innovation 'memes', which opens up the perspectives for some new researches on the subject.

  • Issue Year: 2016
  • Issue No: 1-2
  • Page Range: 142-152
  • Page Count: 11
  • Language: English