Efficiency of artificial intelligence usage on personalized and adaptivity training method for employees at workplace

• Autorzy: Nirmala Ajeng , Dewi Nurazkia Ernita Puspa , Saputra Tehdy , Sibarani Roza Marsaulina

Identyfikatory

DOI

10.17512/pjms.2025.31.1.12

Warianty tytułu

PL

Skuteczność wykorzystania sztucznej inteligencji w spersonalizowanych i adaptacyjnych metodach szkolenia pracowników w miejscu pracy

• Języki publikacji: EN

Abstrakty

EN

This study explores the role of Artificial Intelligence (AI) in training, focusing on AI-driven adaptive programs. This research examines the relationship between AI-driven training programs, employee motivation, training effectiveness, and work performance. A cross-sectional study was conducted using structured questionnaires distributed electronically to employees in the Jabodetabek area, with data collected via a 1-5 Likert scale. T-Statistics and R-Square tests analyzed the relationships between variables. Results reveal that AI Adaptability has no significant impact on training effectiveness or work performance. Instead, employee motivation and training effectiveness show a stronger, positive influence on work performance, with R-Square values of 0.980 and 0.975, respectively. The study concludes that, despite AI’s growing role in human resource management, technology alone does not directly enhance work performance. Human-centered factors, such as motivation, remain crucial in driving successful training outcomes and improving job performance.

PL

Niniejsze badanie dotyczy roli sztucznej inteligencji (AI) w szkoleniach, ze szczególnym uwzględnieniem programów adaptacyjnych opartych na AI. Badanie analizuje związek między programami szkoleniowymi opartymi na AI, motywacją pracowników, skutecznością szkoleń i wydajnością pracy. Przeprowadzono badanie przekrojowe z wykorzystaniem ustrukturyzowanych kwestionariuszy rozesłanych drogą elektroniczną do pracowników w regionie Jabodetabek, a dane zebrano za pomocą skali Likerta od 1 do 5. Statystyki T i testy R-kwadratu pozwoliły przeanalizować zależności między zmiennymi. Wyniki pokazują, że adaptacyjność AI nie ma znaczącego wpływu na skuteczność szkoleń ani wydajność pracy. Zamiast tego silniejszy, pozytywny wpływ na wydajność pracy mają motywacja pracowników i skuteczność szkoleń, których wartości R-Square wynoszą odpowiednio 0,980 i 0,975. W badaniu stwierdzono, że pomimo rosnącej roli sztucznej inteligencji w zarządzaniu zasobami ludzkimi, sama technologia nie wpływa bezpośrednio na poprawę wyników pracy. Czynniki związane z człowiekiem, takie jak motywacja, pozostają kluczowe dla osiągnięcia pozytywnych wyników szkoleń i poprawy wyników pracy.

Słowa kluczowe

EN

AI driven; personalized; adaptivity; training; work performance

PL

sztuczna inteligencja; personalizacja; adaptacyjność; szkolenia; wyniki pracy

• Wydawca: Czestochowa University of Technology
• Czasopismo: Polish Journal of Management Studies
• Rocznik: 2025
• Tom: Vol. 31, No. 1
• Strony: 213--231
• Opis fizyczny: Bibliogr. 47 poz., rys., tab.

Twórcy

autor

Nirmala Ajeng

• Bina Nusantara University, Indonesia

• https://orcid.org/0009-0008-9083-3116

autor

Dewi Nurazkia Ernita Puspa

• Bina Nusantara University, Indonesia

• https://orcid.org/0009-0007-5698-7026

autor

Saputra Tehdy

• Bina Nusantara University, Indonesia

• https://orcid.org/0009-0006-8773-3726

autor

Sibarani Roza Marsaulina

• Bina Nusantara University, Indonesia

• https://orcid.org/0009-0007-8845-7951

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).