Research project Managing capability change in organizations: the KYKLOS method
In this PhD thesis project, the KYKLOS method is developed. Its purpose is to provide methodological and tool support for changing organizations using enterprise modeling and a capability-oriented approach.
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Photo: Andrii Yalanskyi/Mostphotos.
Modern businesses operate in dynamic environments that act as a source of continuous change. Thus, change emerges as an irreplaceable aspect of managing and analyzing business. The concept of capability is another important aspect of business design, so, business transformation is relevant to monitoring and analyzing capability change.
These tasks are facilitated by enterprise modeling. The plethora of existing capability modeling approaches does not include methods specialized for modeling capability change. KYKLOS is a capability modeling method, specifically designed to address this challenge and omission.
Its aim is to provide methodological and tool support for organizations that are undergoing changes or need to do so. The KYKLOS modeling procedure aims not only to capture the vital information types for modeling the complex phenomenon of capability change, but also provide guidance for the transition of capabilities. The modeling procedure is complemented by a homonymous tool which has been developed using the ADOxx platform.
This is Georgios Koutsopoulos’s PhD thesis project.
Janis Stirna is the supervisor, and Martin Henkel is the co-supervisor.
Members
Georgios KoutsopoulosKoutsopoulos, G., Henkel, M., and Stirna, J. (2020). Conceptualizing Capability Change
Koutsopoulos, G., Henkel, M., and Stirna, J. (2020). Modeling the Dichotomies of Organizational Change: a State-based Capability Typology. In Feltus, C., Johannesson, P., and Proper, H.A. (eds.): Proceedings of the PoEM 2019 Forum, pp. 26–39. CEUR-WS.org, Luxembourg.
Koutsopoulos, G. (2018). Modeling Organizational Potentials Using the Dynamic Nature of Capabilities. In: Joint Proceedings of the BIR 2018 Short Papers, Workshops and Doctoral Consortium, pp. 387–398. CEUR-WS.org, Stockholm, Sweden.