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Models, Plan and Control of Digitalizing Processes in the National Economy

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  • Ivan N. Drogobyckij

Abstract

Solid state expenses directed to national projects and state target programs demand adequate instruments of planning, accounting and controlling budget resources. Their aim is to increase guarantees of reaching the expected results. Unfortunately, national statistical authorities had refused from total statistical accounting of economic activities, and because of that, they aren’t able to find the correct decisions of the formulated tasks. It is necessary to make some additional efforts in this problem field, which may – on the one side – lead every project or program to visible application, and on the other hand they should provide productivity of using the state resources. Using the example of target program named «Digital economy in Russian Federation» we offer the original methodological approach to solving this problem. It is based on well-known methods of net planning and management. Transformation of text data of a project or a program to net model is rather simple. As well as simple is the further feeding this model with the information about resources, terms, executors, control points and project’s artifacts (these are real demonstrations of this project’s results). This simplicity provides solid base for the right monitoring job process and just-in-time creating regulated managerial acts. Accumulating these functions in total monitoring center would allow creating general methodology of managing the national projects. It also allows to provide just-in-time delivery of actual information to controlling and inspecting authorities. This information is provided with current and perspective development of the projects.

Suggested Citation

  • Ivan N. Drogobyckij, 2020. "Models, Plan and Control of Digitalizing Processes in the National Economy," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
  • Handle: RePEc:ack:journl:y:2020:id:515
    DOI: 10.33293/1609-1442-2020-2(89)-102-113
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