MODEL AND TECHNOLOGY FOR PRIORITIZING THE IMPLEMENTATION OF END-TO-END BUSINESS PROCESS COMPONENTS OF THE GREEN ECONOMY Cover Image

MODEL AND TECHNOLOGY FOR PRIORITIZING THE IMPLEMENTATION OF END-TO-END BUSINESS PROCESS COMPONENTS OF THE GREEN ECONOMY
MODEL AND TECHNOLOGY FOR PRIORITIZING THE IMPLEMENTATION OF END-TO-END BUSINESS PROCESS COMPONENTS OF THE GREEN ECONOMY

Author(s): Sehii Chalyi, Ihor Levykin, Igor Guryev
Subject(s): Economy, Energy and Environmental Studies, Methodology and research technology, Economic development
Published by: Centrum Badań i Innowacji Pro-Akademia
Keywords: innovations; “green economy”; economic indicators; social sphere end-to-end business process;

Summary/Abstract: The problem of sustainable development of production is directly related to the three components of the "green economy" - economic, social, and environmental. Their harmonious combination makes it possible to obtain results that improve the social relations of both producers and consumers of goods and services. The implementation of the components of the "green economy" is carried out by various projects. The projects are carried out by irregular end-to-end business processes that compete for common resources in the process of their implementation. The impact on the components of the "green economy" is realized by the proposed model and technology. For this purpose, the software tool was developed. The use of this tool by the decision-maker employee allows them to find the best solutions for process management. The solution is represented as priorities to access to shared resources by each process. This ensures their fulfillment within the deadlines established by the contracts. The level of innovations, economic indicators, production stability and competitive ability of products in a dynamically changing market is thereby improved. The results of such commercialization of scientific research have an impact on all components of the "green economy".

  • Issue Year: 2020
  • Issue No: 35
  • Page Range: 65-80
  • Page Count: 16
  • Language: English