Title: Požadované znalosti, dovednosti a kvalifikace v souvislosti s nástupem a rozvojem společnosti 4.0 – systematická literární rešerše
Authors: Taušl Procházková, Petra
Vallišová, Lucie
Citation: Trendy v podnikání = Business trends : vědecký časopis Fakulty ekonomické ZČU v Plzni. 2019, roč. 9, č. 2, s. 12-21.
Issue Date: 2019
Publisher: Západočeská univerzita v Plzni
Document type: článek
URI: https://drive.google.com/open?id=1qGq2WgOWLF_nNOwfjj0igdTOZuV7vG0C
ISSN: 1805-0603
Keywords: dovednosti;kvalifikace;práce 4.0;průmysl 4.0;společnost 4.0;trh práce
Keywords in different language: skills;qualifications;work 4.0;industry 4.0;society 4.0;labour market
Abstract in different language: 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.
Rights: © Západočeská univerzita v Plzni
Appears in Collections:Články / Articles (KPM)
Články / Articles (KFU)
Číslo 2 (2019)
Číslo 2 (2019)

Files in This Item:
File Description SizeFormat 
3_Tausl_Prochazkova_Vallisova.pdfPlný text392,87 kBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/36221

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.