Computational organisation theory

Computational organisation theory involves understanding organisational processes by means of computer simulation. It considers organisations as complex adaptive systems where the processes of organising are linked to factors such as structural interdependencies among organisational subunits and individual behaviour. Both intra-organisational issues (e.g., relationship between organisational structure and performance characteristics) and inter-organisational processes (e.g., firm strategy and competition dynamics) are of interest to this session.

Examples related to computational organisation theory include, but are not limited to, the following:

  • Organisational design
  • Organisational networks
  • Firm behaviour and supply chain dynamics
  • Learning in organisations
  • Competition dynamics
  • Organisational routines and generative explanations of organisational performance
  • Team behaviour
  • Aggregation problems in organisational systems
  • Behavioural operations research
  • Coevolution of individual and structure
  • Computational models of strategy
  • Evolutionary approaches to organisations

Both theoretical and methodological perspectives, as well as applications to real contexts are of interest. Diverse computational approaches are welcome (e.g. agent-based modelling, dynamic simulation, hybrid models (DES-ABM), etc.)



We welcome the submission of extended abstracts (3 - 4 pages; short oral presentation) and full papers (max. 12 pages, long oral presentation). All work must be original, i.e. must not have appeared in conference proceedings, books, or journals and may not be under review for other archival conferences, books, or journals.


Important Dates

Submission of extended abstracts (3-4 pages) or full papers (max. 12 pages): 30 April 2019
Notification of Acceptance: 24 June 2019
Final Version Submission: 11 July 2019



  • Cesar Garcia-Diaz
    Universidad de los Andes, Colombia
  • Iris Lorscheid
    University of Applied Sciences Europe, Germany