LABOR ECONOMIC ASPECT OF AN AUTOMATION: A PROPOSED STUDY USING ADVANCED MACHINE LEARNING ALGORITHMS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F22%3A63553098" target="_blank" >RIV/70883521:28140/22:63553098 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28120/22:63553098
Result on the web
<a href="http://dx.doi.org/10.7441/dokbat.2022.28" target="_blank" >http://dx.doi.org/10.7441/dokbat.2022.28</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7441/dokbat.2022.28" target="_blank" >10.7441/dokbat.2022.28</a>
Alternative languages
Result language
angličtina
Original language name
LABOR ECONOMIC ASPECT OF AN AUTOMATION: A PROPOSED STUDY USING ADVANCED MACHINE LEARNING ALGORITHMS
Original language description
This proposed research study aims to examine the effect of automation and robotization on theemployment situation in Europe. The study will evaluate and analyze by identifying the risk ofsubstitution of job classification along with a proposed empirical analysis by using advancedtechnologies such as machine learning (ML), robotics, and automated processing units. Thestudy will employ the advanced methodology of modeling and prediction to evaluate the riskof substitution of the classified jobs by automation while focusing on the task-based structure.The advanced prediction tools, primarily Artificial Intelligence (AI) and Machine Learning(ML), will contribute to the evaluation of the latent relationship between automation and thetasks performed by jobs. This research study will contribute to scientific works by providingsignificant results for understanding the true effects of automation on classified jobs,particularly in manufacturing sectors.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50201 - Economic Theory
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
DOKBAT 2022 - 18th International Bata Conference for Ph.D. Students and Young Researchers
ISBN
978-80-7678-101-6
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
287-295
Publisher name
Fakulta managementu a ekonomiky, UTB ve Zlíně
Place of publication
Zlín
Event location
Zlín
Event date
Sep 14, 2022
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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