Key words: knowledge spaces, Organizational routines, behavioural mechanisms and patterns, systems theory, spatial interactions, and proximity/distance dimensions, multi-agent simulations, digital twins
Doctoral student: Milena Jakubaszek (University of Tübingen
Supervisor: Prof. Dr. Sebastian Kinder (University of Tübingen)
Further scientific support: Prof. Dr. Mariusz Czepczynski (University of Gdansk)
Funded by the Foundation of German Economy (“Stiftung der Deutschen Wirtschaft“)
Knowledge communities interact with each other to generate, exchange or to further develop and use information possibly with understanding, both physically and indirectly, implicitly, or even virtually.
They consist of human actors with their specific characteristics (e.g. origin or education) and technical actors as computers, programs, tools and their respective properties (e.g. transmission quality). They are anchored in routines, structures and systems. There, they can be managed and controlled as well as institutionalized, or they are not controlled at all and just embedded in grown structures of organizations.
Therefore, knowledge flow depends on context specific factors and always occurs at the interfaces ]S[ of the actors involved.
This work focuses on detecting of the key factors of the knowledge flow, its patterns, and possible disturbances in respect to the importance of systems, structures, routines and mechanisms, learning processes, socio-institutional networks and embeddedness(es) of actors.
- Network Theory, Theory of Dimensions of Proximity, organizational studies and theories of organizational routines
- Theory of knowledge processes, knowledge management literature, study of the spatiality of knowledge flow
- Systems theory, (partly emergent) structures and mechanisms, (ZA/multi-agent) systems
About this work:
Developed in practice and for practice, this work deals with knowledge, one of the most significant success factors in modern business, science and society. It combines in an interdisciplinary way the current approaches of science with the necessities of practice, which I got to know in my professional activity.
Knowledge is one of the few factors that will keep Germany 'in the game' internationally in the long term and help companies avoid losses.
The systematic and quantitative analyses of the actual is-situation lead via modelling and subsequent simulation to the synthesis of the targeted should-situation, which is then transferred to the organization as a set of rules and regulations.
The resulting, modern and successful knowledge management avoids losses in leadership, efficiency and transmission