期刊名称：Journal of Systemics, Cybernetics and Informatics
印刷版ISSN：1690-4532
电子版ISSN：1690-4524
出版年度：2020
卷号：18
期号：3
页码：9-17
出版社：International Institute of Informatics and Cybernetics
摘要：The geopolitical transformation in Eastern European countries
has created greater social tensions than ever before, and resolving
them is a constant challenge for the governments of the region.
In this situation, researches on social innovation in support of
economic development have become very important. The authors
have been studying social innovation for nearly 8 years, with
particular reference to the methodology for measuring and
generating innovation potential at mezo level. One of the main
directions of our research is the neuro-fuzzy model based on
social learning, which defines possible social innovation
solutions in a settlement-specific way. The other area of study is
the change management process within which defining an
appropriate training strategy and concept is one of the relevant
issues in managing resistance in the operation and management
of the settlement. This article presents a novel multi-level, valuedriven
training model that is based on special logic and can serve
multiple target groups. Its applicability was tested in 52
settlements. We describe good practice implemented in a typical
segregated community.
关键词：social innovation; neuro-fuzzy model; social learning; change management process; value-driven training model
