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<Gradivo ID="13023" NadgradivoID="0" NRID="28066734" OceID="0" DomainUrl="https://revis.openscience.si/" IzpisPolniUrl="https://revis.openscience.si/IzpisGradiva.php?lang=slv&amp;id=13023" StOgledov="312" StPrenosov="0" StOcen="0" VsotaOcen="0" DatumIzvoza="2026-05-21 01:33:34" OcenaSkupna="0" StPodgradiv="0" StudijskiProgramEvsID="" JeIndeksirano="0" JeVecAvtorjev="0" DovoliZahtevkeZaDostop="0">
  <PID Url="http://hdl.handle.net/20.500.12556/ReVIS-13023">20.500.12556/ReVIS-13023</PID>
  <Naslov>Upskilling Older Employees in the Artificial Intelligence Era</Naslov>
  <Podnaslov></Podnaslov>
  <TujJezik_Naslov></TujJezik_Naslov>
  <TujJezik_Podnaslov></TujJezik_Podnaslov>
  <Opis>
Research  Question  (RQ):What  is  the  effect  of  new  technologies,  with  an  emphasis  on  artificial intelligence (AI), onthe need to upskill older employees (50+ years).Purpose:The  purpose  of  the  research  was  to  carry  out  a  systematic  literature  review  of  existing research in the field of the effect of AI on the upskilling needs of older employees.Method:We performed a systematic literature review across six academic search engines:ProQuest, Emerald, Sage Journals, Springer, Research Gate,and Google Scholar.Results:Artificial  intelligence  is  significantly  transforming  the  labor  market,  as  it  requires  constant adaptation  to  new  skills  and  knowledge.  AI  has  a  significant  effect  on  older  employees,  who  are exposed to greater challenges due to a possible lack of digital skills and sensitivity to change. In this context,   training   and   further   education   are   key   mechanisms   to   ensure   that   skills   match   the requirements  of  the  work  environment  and  the  labor  market.  Organizations  must  quickly  adapt  to changing  requirements  by  creating  a  culture  of  lifelong  learning  that  encourages  seniors  and  other employees to improve. Training programs must bebased on the specific needs and challenges faced by older employees.Organization:The research emphasizes the importance of training older  employees in the age of AI and  encourages  organizations  to  create  a  culture  of  lifelong  learning  as  part  of  the  organization&#039;s strategic directions and goals.Society:The importance of researchfor society is reflected in the insight into the involvement of all age groups in the possibility of improving knowledge, skills,and attitudes towards the use of modern technologies. Organizations and society itself bear the social responsibility to enable older employees to successfully integrate into the work environment in the AI era. Originality:The research addresses the need to improve the skills of a specific age group in the age of AI,  where  it  simultaneously  highlights  the  importance  of  fostering  a  culture  of  lifelong  learning  in  a rapidly  changing  world.  The  research  findings  provide  guidelines  for  policymaking  in  the  field  of training on the national level in the context of an aging workforce and new technologies.Limitations/further research:The literature review was limited to six publicly available databases. In the article, older employees were considered as people in the labor process older than 50 years. We must emphasize that older employees differ from each other in terms of education, economic,social,and   other   circumstances.Further   research   should investigate   the   effect   of   new   technologies regarding the specific circumstances mentionedin this age group.

</Opis>
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  <Pokrivanje></Pokrivanje>
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  <VrstaGradiva ID="dk_c" DRIVER="info:eu-repo/semantics/article">Članek v reviji</VrstaGradiva>
  <DatumVstavljanja>2026-01-20 09:41:26</DatumVstavljanja>
  <DatumObjave>2026-01-20 09:41:26</DatumObjave>
  <DatumSpremembe>2026-01-24 03:05:19</DatumSpremembe>
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  <Opomba></Opomba>
  <StStrani></StStrani>
  <StevilcenjeNivo1>no. 4</StevilcenjeNivo1>
  <StevilcenjeNivo2>Vol. 10</StevilcenjeNivo2>
  <Kronologija>2025</Kronologija>
  <Patent_Stevilka></Patent_Stevilka>
  <Patent_DatumVeljavnosti>0000-00-00</Patent_DatumVeljavnosti>
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  <DatumObjaveClanka>2025-12-05</DatumObjaveClanka>
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  <Osebe>
    <Oseba ID="12374" Ime="Tinkara" Priimek="Žabar" AltIme="" VlogaID="70" VlogaNaziv="Avtor" ConorID="" Afiliacija="University of Primorska" ArrsID="" ORCID="https://orcid.org/0009-0001-3538-1929"></Oseba>
    <Oseba ID="12375" Ime="" Priimek="Aleksander" AltIme="" VlogaID="70" VlogaNaziv="Avtor" ConorID="" Afiliacija="University of Primorska" ArrsID="" ORCID="https://orcid.org/0000-0001-5678-0737"></Oseba>
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  <Identifikatorji>
    <Identifikator ID="17" Sifra="eISSN" Naziv="eISSN" URL="">2463-9281</Identifikator>
    <Identifikator ID="15" Sifra="DOI" Naziv="DOI" URL="https://doi.org/10.37886/ip.2025.007">https://doi.org/10.37886/ip.2025.007</Identifikator>
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  <Datoteke>
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  <Organizacije>
    <Organizacija OrganizacijaID="41" Kratica="FOŠ" ZavodEvsID="0000038" Logo="" LogoPolniUrl="https://revis.openscience.si/teme/revis/img/logo/">Fakulteta za organizacijske študije v Novem mestu</Organizacija>
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