2011/05/09 by Gerard Briscoe, Briscoe, Gerard
Business, Management and Accounting · Computer Science · Decision Sciences · #Business Process Modeling and Analysis #Innovation Diffusion and Forecasting #University-Industry-Government Innovation Models #cs.MA
paper · pdf · doi:10.48550/arxiv.1105.1564
8 pages, 12 figures, conference
arxiv created 2011/05/09 · arxiv updated 2011/05/10
We investigate an abstract conceptualisation of DigitalEcosystems from a computer science perspective. We then provide a conceptual framework for the cross pollination of ideas, concepts and understanding between different classes of ecosystems through the universally applicable principles of Complex Adaptive Systems (CAS) modelling. A framework to assist the cross-disciplinary collaboration of research into Digital Ecosystems, including Digital BusinessEcosystems (DBEs) and Digital Knowledge Ecosystems (DKEs). So, we have defined the key steps towards a theoretical framework for Digital Ecosystems, that is compatible with the diverse theoretical views prevalent. Therefore, a theoretical edifice that can unify the diverse efforts within Digital Ecosystems research.