2023
DOI: 10.1007/978-3-031-21435-6_44
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Using Technical and Structural Coefficients of Economic Statistics to Equalize Flows of Input-Output Table

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Cited by 13 publications
(2 citation statements)
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“…In particular, the introduction of systems based on artificial intelligence in the activities of tourism firms makes it necessary to increase the general level of technical literacy of their staff, which, in turn, determines the nature of the organization of training of tourism workers in the use of artificial intelligence systems in their professional activities [60], [61], [62], [63]. The opinion expressed by the scientists is fully supported by the results of this scientific study, as it emphasizes the importance of improving the technical literacy of employees of tourism firms for their successful operation using artificial intelligence systems, which is particularly relevant during the mass layoffs in the industry during the pandemic [64], [65].…”
Section: Discussionmentioning
confidence: 63%
“…In particular, the introduction of systems based on artificial intelligence in the activities of tourism firms makes it necessary to increase the general level of technical literacy of their staff, which, in turn, determines the nature of the organization of training of tourism workers in the use of artificial intelligence systems in their professional activities [60], [61], [62], [63]. The opinion expressed by the scientists is fully supported by the results of this scientific study, as it emphasizes the importance of improving the technical literacy of employees of tourism firms for their successful operation using artificial intelligence systems, which is particularly relevant during the mass layoffs in the industry during the pandemic [64], [65].…”
Section: Discussionmentioning
confidence: 63%
“…The change in the normalized values of indicators of institutionalization of digital capacity to the Harrington-Mencher dimensionless scale is presented in Figure 7. Since the factors of institutionalization of the digital capacity of Ukraine's banking sector have a direct impact on the level of indicators of technological readiness for digitalization of settlements and stabilization of payment systems and threats of fraud (cyber-attacks) of banks-financial centers of the FIC, the obtained values of variability allow to use them as a weighting influence of the indicators in the calculation of the integral index of digital cyber protection of financial and industrial capital of large business from the set of studied banksfinancial centers of FIC [22], [23], [24], [25]. Based on the results of the calculation, the distribution of the integral index of digital cyber protection of banks-financial centers (FIC) of Ukraine was carried out according to innovative information resources and blockchain and fintech technologies (Figure 8).…”
Section: Resultsmentioning
confidence: 99%