Methodology of decision support systems for digital public governance

[enter Abstract BodyThe research argues that digital operations centers (DOC) serve as the core digital infrastructure for data-driven decision-making in public governance. Digital public governance is a multilayer concept that includes the hardware/software, the management system, and the data processing. The key issue for digital public governance is the capacity to connect all layers and exchange data across to take data-driven decisions, which are adjusted for the needs of each particular citizen in order to make public governance fully effective and efficient, i.e. smart. The concept of digital data-driven decision making in public governance has been fundamentally elaborated by Forrester, Winter and Marcuse. Tailor-made governance decisions correspond to the concept of mass customization, which derives from the Fourth Industrial Revolution theory and practice. The hypothesis suggests that DOC serve as a platform that unites core digital technologies (such as AI and data mining) and the physical infrastructure in the interest of public governance thus becoming a genuine decision support system. The omni-channel data collection and processing create the transition of reactive management patterns to predictive analytics and smart decision- making in public governance. The research leads to identification of relevant Russian experience in implementing and developing DOC in public governance at the regional level, as well as studying international experience to provide a set of recommendations for practitioners. Methodology of the research includes general scientific methods of cognition of processes and phenomena: an analytical approach, qualitative and comparative analysis, andsynthesis