 DIGITAL TWINS AND THEIR APPLIANCE IN TRANSPORT ECONOMICSO. N. Rimskaya () and I. V. Anokhov () Strategic decisions and risk management, 2021, vol. 12, issue 2 Abstract: Today digitalization increasingly affects the economy, including the transport industry. The consequence of this is the emergence of digital twins that allow modeling and predicting the behavior of both individual processes and enterprises as a whole.The aim of the article is to investigate the process of digitalization in the transport industry. The theoretical basis of the article was the universal organizational science of A. Bogdanov.The article offers a definition of information, and its classification in relation to the economy at three levels: applied information (technological information), information about algorithms of the owners of factors production behavior (behavioral information) and information, with which the impact on the owners of production factors and the real economy in general (directive information). The totality of these levels of information from the macroeconomic point of view forms an information economy, and from the microeconomic point of view – a digital twin of a particular subject of the real economy.It is proved that the digital economy is a subsystem of the information economy, differs in a binary way of presenting information and is maximally oriented to the management of the real economy.Information precedes all activity, so the real economy is a product of the information economy. Consequently, the technological division of labor is based on a prior informational division of labor. This theoretically allows us to judge the adequacy of the digital twin through the analysis of individual technological levels of the transport enterprise. This hypothesis was applied to the analysis of the Russian railway transport, which gave reason to consider this approach promising for use at macro- and micro-levels both. Date: 2021 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:abw:journl:y:2021:id:943 DOI: 10.17747/2618-947X-2021-2-127-137 Access Statistics for this article More articles in Strategic decisions and risk management from Real Economy Publishing House |
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