Smart Work and Lifelong Learning for Workers’ Employability
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21630%2F23%3A00371327" target="_blank" >RIV/68407700:21630/23:00371327 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68407700:21730/23:00371327
Výsledek na webu
<a href="https://doi.org/10.1007/978-3-031-47694-5_2" target="_blank" >https://doi.org/10.1007/978-3-031-47694-5_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-47694-5_2" target="_blank" >10.1007/978-3-031-47694-5_2</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Smart Work and Lifelong Learning for Workers’ Employability
Popis výsledku v původním jazyce
Smart work and lifelong learning are intertwined concepts that empower individuals to thrive in a dynamic and evolving world. Workers can enhance their employability, productivity, adaptability, and professional growth through training that increases chances of success in both personal and professional spheres. Industrial robotics impacts jobs in small- and medium-sized enterprises (SMEs) as it affects job tasks and the competences required by occupations. Employees must collaborate with robots and use their competences in combination with technology. Robotization can reduce employability in unskilled and semi-skilled jobs like handlers, warehouse workers, and assembly workers. For enhancing their employability, smart work plays a critical role. A necessary pre-condition is that employers invest in training aimed mainly at programming, robot control, data analytics, and cyber security. It can increase productivity, reduce production costs, improve product quality, cut production time, and improve flexibility. SMEs usually have limited financial resources and must carefully consider each investment. So, the rate of return on investment is a critical factor in the decision of industrial SMEs to adopt new technologies and digitize operations regardless of their crucial role in the labor market.
Název v anglickém jazyce
Smart Work and Lifelong Learning for Workers’ Employability
Popis výsledku anglicky
Smart work and lifelong learning are intertwined concepts that empower individuals to thrive in a dynamic and evolving world. Workers can enhance their employability, productivity, adaptability, and professional growth through training that increases chances of success in both personal and professional spheres. Industrial robotics impacts jobs in small- and medium-sized enterprises (SMEs) as it affects job tasks and the competences required by occupations. Employees must collaborate with robots and use their competences in combination with technology. Robotization can reduce employability in unskilled and semi-skilled jobs like handlers, warehouse workers, and assembly workers. For enhancing their employability, smart work plays a critical role. A necessary pre-condition is that employers invest in training aimed mainly at programming, robot control, data analytics, and cyber security. It can increase productivity, reduce production costs, improve product quality, cut production time, and improve flexibility. SMEs usually have limited financial resources and must carefully consider each investment. So, the rate of return on investment is a critical factor in the decision of industrial SMEs to adopt new technologies and digitize operations regardless of their crucial role in the labor market.
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Digital Transformation: What is the Impact on Workers Today?
ISBN
978-3-031-47693-8
Počet stran výsledku
12
Strana od-do
11-22
Počet stran knihy
222
Název nakladatele
Springer, Cham
Místo vydání
—
Kód UT WoS kapitoly
—