Journal of Systemics, Cybernetics and Informatics (Jun 2020)

Training Based Change Management Problem for Social Innovation

  • Mariann Somosi Veresné,
  • György Kocziszky,
  • Zoltán Nagy,
  • Krisztina Varga

Journal volume & issue
Vol. 18, no. 3
pp. 9 – 17

Abstract

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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, value-driven 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.

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