To address “nowadays challenges” (i.e. digital and energy transitions, social and economic sustainability, global crises, AI pervasiveness) and build knowledge futures, new approaches are needed for knowledge management and new business models’ development. These approaches are required in order to take into account the increasing complexity of organizations, business, and innovation ecosystems.
Complexity today represents a useful approach to adequately address research issues concerning knowledge and innovation management in business and innovation systems. Indeed, these systems are Complex Adaptive Systems characterised by non-linear relationships between their constitutive elements, heterogeneity, self-reflexivity, emergent properties, self-organisation, expectations, and continuous dynamic adaptation.
Complex systems are composed of interdependent agents that can be found anywhere on multiple scales, from the macro-meso level, which includes industries, markets, and ecosystems, to the micro level, which involves firms, work teams, and individuals. In particular, through the complex systems approach it is possible to study the ecosystems in which organisations evolve, the dynamics of knowledge and innovation, the role of technological advancements that shape new business and organizational models.
The aim of this track is to attract theoretical, methodological, empirical, and practical contributions that use complexity to address knowledge and innovation management issues in business environments, considering, in particular, the role of AI, of new technologies, and the emergence of new business models.
Particularly appreciated are the papers that adopt innovative methodologies rooted in Complexity Science (e.g.: Networks and Social Network Analysis, Agent-based modelling and simulation, System Dynamics, Artificial Intelligence , etc..). We invite researchers who investigate the drivers and issues related to complexity in knowledge and innovation management systems, value chains, business ecosystems, supply chains in different business sectors.

Giovanna Ferraro, University of Rome Tor Vergata, Italy
Stephan Leitner, University of Klagenfurt, Austria
Raffaella Manzini, LIUC Università Cattaneo, Italy
Cristina Ponsiglione, University of Naples Federico II, Italy
Linda Ponta, University of Genoa, Italy