Smart Work and Lifelong Learning for Workers’ Employability
The result's identifiers
Result code in 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>
Alternative codes found
RIV/68407700:21730/23:00371327
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Smart Work and Lifelong Learning for Workers’ Employability
Original language description
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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Digital Transformation: What is the Impact on Workers Today?
ISBN
978-3-031-47693-8
Number of pages of the result
12
Pages from-to
11-22
Number of pages of the book
222
Publisher name
Springer, Cham
Place of publication
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UT code for WoS chapter
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