• DocumentCode
    637038
  • Title

    An evolutionary economics approach to ecosystem dynamics

  • Author

    Blijleven, Vincent ; van Angeren, Joey ; Jansen, Slinger ; Brinkkemper, Sjaak

  • Author_Institution
    Dept. of Inf. & Comput. Sci., Utrecht Univ., Utrecht, Netherlands
  • fYear
    2013
  • fDate
    24-26 July 2013
  • Firstpage
    19
  • Lastpage
    24
  • Abstract
    Biology and evolution lie at the heart of the ecosystem metaphor that is recurrently applied in the digital era. Although the evolution and analogy with evolutionary biology is acknowledged within the research domains of business ecosystems and digital ecosystems, several key definitions and self-organizing properties of ecosystems have not been fully explored. In addition´ the diffusion process of radical innovations altering the structure of an ecosystem remains elusive. This paper addresses this deficiency through a cross-fertilization of multiple research domains, by introducing evolutionary economics concepts based on insights from biology. The research synthesis presented serves for the introduction of a novel perspective on ecosystem analysis. Practitioners will gain insight in how to apply concepts from evolutionary economics when determining their position in an ecosystem. Trade-offs can then be considered and balanced to positively impact firm performance as well as the ecosystem in which the firm operates.
  • Keywords
    business data processing; evolutionary computation; organisational aspects; biology; business ecosystems; digital ecosystems; digital era; ecosystem dynamics; ecosystem metaphor; evolutionary biology; evolutionary economics approach; evolutionary economics concepts; firm performance; multiple research domain cross-fertilization; self-organizing properties; Biology; Diffusion processes; Economics; Ecosystems; Organizations; Software; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Ecosystems and Technologies (DEST), 2013 7th IEEE International Conference on
  • Conference_Location
    Menlo Park, CA
  • ISSN
    2150-4938
  • Print_ISBN
    978-1-4799-0784-7
  • Type

    conf

  • DOI
    10.1109/DEST.2013.6611323
  • Filename
    6611323