Název:	Požadované znalosti, dovednosti a kvalifikace v souvislosti s nástupem a rozvojem společnosti 4.0 – systematická literární rešerše
Autoři:	Taušl Procházková, Petra Vallišová, Lucie
Citace zdrojového dokumentu:	Trendy v podnikání = Business trends : vědecký časopis Fakulty ekonomické ZČU v Plzni. 2019, roč. 9, č. 2, s. 12-21.
Datum vydání:	2019
Nakladatel:	Západočeská univerzita v Plzni
Typ dokumentu:	článek article
URI:	https://drive.google.com/open?id=1qGq2WgOWLF_nNOwfjj0igdTOZuV7vG0C http://hdl.handle.net/11025/36221
ISSN:	1805-0603
Klíčová slova:	dovednosti;kvalifikace;práce 4.0;průmysl 4.0;společnost 4.0;trh práce
Klíčová slova v dalším jazyce:	skills;qualifications;work 4.0;industry 4.0;society 4.0;labour market
Abstrakt v dalším jazyce:	Taking into consideration technological progress the boundaries between the work tasks performed by people and those that are algorithmizable are shifting. There is given more and more attention to the issue of Industry 4.0. It can be mentioned several authors devoting the literature review in this area such as Liao et al. (2017), Kamble, Gunasekaran & Gawankar (2018), or Piccarozzi, Aquilani& Gatti (2018). However, the area of systematic mapping of the scientific interest of the issue has been limited so far. There is a gap in the field of mapping scientific interest consisting in a narrower, subsequent focus on a specific area. The authors of the article take into consideration the area of the labour market, employment and requirements for new knowledge, qualifications or skills of employees. The aim of the paper is to carry out a systematic literary review research of Industry 4.0 terms, with a specific focus on the field related to the labour market, employment and requirements for new knowledge, qualifications or skills of employees. The Scopus database was used to obtain records. Other searching criteria were applied, such as selected sectors of scientific interest, type of studies, language, time constraints, etc. The outputs identified in this way were first subjected to basic bibliometric analysis and subsequent content analysis, which identified several clusters of interest.
Práva:	© Západočeská univerzita v Plzni
Vyskytuje se v kolekcích:	Články / Articles (KPM) Články / Articles (KFU) Číslo 2 (2019) Číslo 2 (2019)

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