5th International Workshop on Complexity in Innovation, Management, and Economics (CIME2026)
In an era marked by unprecedented challenges—from climate change to digital transformation—the need for innovative and effective solutions has never been more urgent. Recent events, such as the global response to the COVID‑19 pandemic, have vividly demonstrated the complexity of modern organizations and the environments they navigate. This workshop seeks research that addresses these complexities, offering new models, methods, and tools for a rapidly evolving world.
5th International Workshop on Complexity in Innovation, Management, and Economics (CIME2026)
Über das Event
The University of Klagenfurt invites you to join CIME2026, a workshop bringing together researchers working on complexity in economic, managerial, organisational, and innovation systems.
Focus of the workshop
In an era marked by unprecedented challenges—from climate change to digital transformation—the need for innovative and effective solutions has never been more urgent. Recent events, such as the global response to the COVID‑19 pandemic, have vividly demonstrated the complexity of modern organizations and the environments they navigate. This workshop seeks research that addresses these complexities, offering new models, methods, and tools for a rapidly evolving world.
WHEN: 07.05.2026, 8 am - 08.05.2026, 5 pm
WHERE: University of Klagenfurt, Stifungssaal der Kärntner Sparkasse (O.0.01), Universitätsstraße 65-67, 9020 Klagenfurt
Complexity as a Research Paradigm
Complexity is a mandatory approach to properly address research questions in economic, financial, managerial, organizational, and innovation systems. These systems are **Complex Adaptive Systems** characterized by:
- Non‑linear relations among their constitutive elements
- Heterogeneity
- Self‑reflexivity
- Emergent properties
- Self‑organization
- Dynamic continuous adaptation
The diffusion of new technologies for massive data collection offers the opportunity to measure and evaluate complex system dynamics through data‑driven methodologies. New tools can be used to collect large amounts of rich, high‑quality, and reliable data in almost real time. They provide automatic and more objective measurements of individual, team, and firm behaviors, supporting scholars in analyzing complex systems.
More information & registration (submission opens: 5 January 2026): 5th International Workshop on Complexity in Innovation, Management, and Economics (7-8. Mai 2026): Home · Indico
