Socio-technical systems and self-organization
ACM SIGOIS Bulletin - Special issue: groupware for self-organizing units
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Growing systems in emergent organizations
Communications of the ACM
Data Models
Simulation for the Social Scientist
Simulation for the Social Scientist
Sustainable systems: strengthening knowledge management systems with deferred action
International Journal of Information Technology and Management
Epimethean information systems: harnessing the power of the collective in e-learning
International Journal of Information Technology and Management
Online support for arbitration: designing software for a flexible business process
International Journal of Information Technology and Management
Optimising e-marketing criteria for customer communication in food and drink sector in Greece
International Journal of Business Information Systems
Communication-oriented business model based on flows
International Journal of Business Information Systems
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We address designing information systems as complex adaptive systems. The deferred design model of information systems capable of representing knowable and unknowable information requirements typical of complex adaptive systems is developed. Drawing on complexity theory, we argue that emergence is the cause of unpredictability and therefore unknowable information requirements. The theory of deferred action is invoked to explain the effect of emergence on information requirements and applied to model emergence for systems design. The insights proposed are believed to assist designers in developing functional and relevant approaches within dynamic organisational contexts.