The Impact of Digital Technologies on Neoclassical Labor Market

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F22%3APU146478" target="_blank" >RIV/00216305:26510/22:PU146478 - isvavai.cz</a>

Result on the web

<a href="https://sciendo.com/article/10.2478/danb-2022-0020" target="_blank" >https://sciendo.com/article/10.2478/danb-2022-0020</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/danb-2022-0020" target="_blank" >10.2478/danb-2022-0020</a>

Result language

angličtina

Original language name

The Impact of Digital Technologies on Neoclassical Labor Market

Original language description

Labor market economics works on the principle of a neoclassical approach. Competitive forces, corporate policy, collective bargaining, and state intervention create the reality of the market. Technological progress in advanced technology, robotics, and artificial intelligence is strengthening the economies of several countries. The article deals with the actual influence of digital technologies on the neoclassical paradigm of the labor market and the impacts on the tasks and requirements for the competencies of workers and the level of their qualifications. Research is based on secondary data from relevant sources with emphasis on the quality using the interface Primo database, enabling the search for data in full-fledged databases (Web of Science, ProQuest, etc.). The real minimum wage, employment rate and jobs at risk of automation were analysed to compare situation in European countries. The main objective is to analyze the magnitude of the impact of digital technologies on the labor market. The results point to technological progress, especially automation, which eliminates job positions by substituting low-skilled workers with machine learning robots. Government can ensure more balanced inclusive growth in the area of education. The change in the concept of teaching leads to higher qualifications and skills for future employees.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

50202 - Applied Economics, Econometrics

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Danube

ISSN

1804-6746

e-ISSN

1804-8285

Volume of the periodical

13

Issue of the periodical within the volume

4

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

13

Pages from-to

318-330

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85146464564