Authors:
Alexander Gromoff
;
Julia Stavenko
;
Kristina Evina
and
Nikolay Kazantsev
Affiliation:
Institute National Research University and Higher School of Economics, Russian Federation
Keyword(s):
Innovation, technology, research projects, information entropy, social system, knowledge management, enterprise content, ECM, self-organizing system, open system, knowledge workers, unstructured information, BPM, S-BPM, communication network.
Abstract:
This article describes the application of currently most promising methods of graph theory, content analysis and (3) subject-oriented approach to business process modelling for creating and automation of innovative process and therefore for maximization of ROI (return on investments) in intellectual and social capital of enterprises. In a course of development, instant full-text indexation takes place and taxonomic picture of different branches for such community is formed. In due course system gathers the statistics and builds-up maps of intercommunication with priority allocation of most discussed topics. A group of predetermined experts begins discussion on development prospects of this or that subject afterwards. The strategic map of investments into innovative development that can be offered to group of investors for competitive investments eventually turns out. In this process all steps except final (gathering of experts) are human non-dependant, what increase efficiency of the
process in general.
(More)