Employee Perceptions of Artificial Intelligence in the Workplace: A Comparison Between Interns and Experienced Workers in Kyrgyzstan

Bazarmatov Samat (2025) Employee Perceptions of Artificial Intelligence in the Workplace: A Comparison Between Interns and Experienced Workers in Kyrgyzstan. Menedzsment Kar (2025-)-.

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Absztrakt (kivonat)

Over the past few years, Artificial Intelligence has gradually become part of everyday work practices, appearing in tasks ranging from drafting texts to processing information and supporting basic decisions. As these tools become more accessible, employees approach them with varying levels of confidence and caution, shaped by their experiences, expectations, and workplace responsibilities. This thesis explores how interns and experienced professionals in Kyrgyzstan perceive and integrate AI into their daily work, drawing on the Technology Acceptance Model to interpret these differences. Through semi-structured interviews, the study reveals that interns often treat AI as a source of reassurance and guidance when navigating unfamiliar tasks, while experienced workers evaluate it more carefully, emphasising accuracy, contextual relevance, and the boundaries of human responsibility. The findings show that in a setting where organisational structures and formal training are still developing, AI adoption emerges from individual initiative rather than institutional policy. By examining these patterns, the thesis provides a nuanced understanding of early-stage AI integration in a developing digital environment and highlights the factors that shape employee acceptance in practice.

Intézmény

Budapesti Gazdasági Egyetem

Kar

Menedzsment Kar (2025-)-

Tudományterület/tudományág

NEM RÉSZLETEZETT

Szak

Gazdálkodási és menedzsment

Mű típusa:	diplomadolgozat (NEM RÉSZLETEZETT)
Kulcsszavak:	AI adoption, artificial intelligence, Employee Perceptions, Interns and Experienced Workers, kyrgyzstan, technology acceptance model, Workplace AI, Workplace Technology Adoption
SWORD Depositor:	User Archive
Felhasználói azonosító szám (ID):	User Archive
Rekord készítés dátuma:	2026. Júl. 09. 11:12
Utolsó módosítás:	2026. Júl. 09. 11:12

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