Entropy and self organizing in edge organizations
MetadataShow full item record
Along with the advance of technologies and evolving variety of military missions, Edge Organization has been proposed to transform C2 from its conventional hierarchical and inflexible structures into more network centric and flexible forms. To develop a better understanding of Edge Organizations, in our research we take a dynamical and adaptive complex systems approach to exploring dynamical features of Egde Organizations and investigate how networking structures, self-organization mechanisms may impact on the entropy of Edge Organizations and consequently determine their agility and performance. After defining the basic concepts, we introduce an agent-based simulation model that captures the interplay among networking structures, self-organization mechanisms, and organization agility and performance with entropy as an intermediate variable. Through simulation-based case studies using the proposed model, important dynaical features of Edge Organizations can be clarified and conditions for avoiding high entropy equilibirums and for acheiving high level of agility be identified. In addition to the description of the proposed model, various measures of organizational entropy and organizational agility are discussed. A scenario design for future simulation studies is presented.
Showing items related by title, author, creator and subject.
Czarnecki, Jonathan (2009-06);Agility is organizational shape-shifting in the face of complex operating environments. Command is the guiding hand for the shape-shifting. As the DOD CCRP community has noted, agility is a multi-dimensional phenomenon ...
Paul, Calvin B. (Monterey, California: Naval Postgraduate School, 2017-06);The need for file identification and partitioning in the digital forensic, reverse engineering, and security analyst fields cannot be overstated. In this research, we investigate the use of the Shannon entropy profile ...
A dynamic model for C_x001B_p3_x001B_s information incorporating the effects of counter C_x001B_p3_x001B_s Moose, Paul H. (Monterey, California. Naval Postgraduate School, 1980-12); NPS-62-81-025PRA dynamic model is proposed for Cﾳ information that explicitly incorporates effects of counter-Cﾳ activities. The model assumes an inevitable growth of uncertainty inherent in military situations that is only counteracted ...