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Factor model for assessing the state of the digital economy

Author

Listed:
  • Aleksandr P. Sukhodolov

    (Baikal State University)

  • Ilya A. Slobodnyak

    (Baikal State University)

  • Valentina A. Marenko

    (Sobolev Institute of Mathematics)

Abstract

The research aims to examine the conceptual model of factors influencing the state of the digital economy and contributing to its effective management. Methodologically the research relies on the cognitive modelling, which develops as an interdisciplinary programme combining the theory of cognition, and artificial intelligence. Cognitive modelling encompasses the stages of constructing a problem field and a cognitive map in the form of digraph; agreeing expert assessments of mutual influence of factors using mathematical statistics; simulation experiment. The problem is solved by the methods that allow for cognitive aspects of percep tion, thinking, explanation, experience, and intuition of researchers. The process of solving the problem is oriented towards involvement of intellectual resources of a specialist to record notions about a problem situation in the form of a formal model, construct a hypothesis on the behaviour of the investigated system, and a forecast of its development. The authors suggest their cognitive model of factors affecting the state of the digital economy and present it in the form of a cognitive map or a weighted directed graph. The model features a particular set of factors with the maximum degree of generalisation and abstraction from concrete subsystems of economy. The authors created a software tool, the algorithm of which was based on the system of finitedifference equations and was implemented using cross-platform technologies that enabled its running without foreign software. This software tool is used to perform a simulation experiment, which demonstrates that the target factor of a cognitive model substantially depends on the control factor “investments”. The researchers determine present conditions for obtaining variants of unstable structure of a cognitive model. Experiments on different combinations of the input data may lead to the desired result of economic situation development

Suggested Citation

  • Aleksandr P. Sukhodolov & Ilya A. Slobodnyak & Valentina A. Marenko, 2019. "Factor model for assessing the state of the digital economy," Journal of New Economy, Ural State University of Economics, vol. 20(1), pages 13-24, March.
    • Handle: RePEc:url:izvest:v:20:y:2019:i:1:p:13-24
    DOI: 10.29141/2073-1019-2019-20-1-2
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    References listed on IDEAS

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    1. Steffen Juranek & Dirk Schindler & Guttorm Schjelderup, 2018. "Transfer pricing regulation and taxation of royalty payments," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 20(1), pages 67-84, February.
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    Cited by:

    1. Shuangying Chen & Qiyue Li & Bo Lei & Na Wang, 2021. "Configurational Analysis of the Driving Paths of Chinese Digital Economy Based on the Technology–Organization–Environment Framework," SAGE Open, , vol. 11(4), pages 21582440211, October.

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    More about this item

    Keywords

    digital economy; cognitive model; cognitive map; simulation experiment;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

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