What affects work performance when using AI chatbots? : investigating mediations and factors affecting performance expectancy and intentions to use ChatGPT

Smutný, Zdeněk (avtor), Sudzina, Frantisek (avtor)

Generative artificial intelligence (AI) tools are reshaping individual work performance. While many studies explore the adoption of generative AI tools, few examine mediations and factors influencing performance expectancy and intentions to use AI chatbots like ChatGPT. This study builds on Camilleri’s (2024) framework, integrating enhanced UTAUT and IAM models, and presents extended replication. A survey questionnaire (N=787, aged 18–34 y) was analyzed using SmartPLS4. The results show that performance expectancy significantly mediates the relationship between effort expectancy, source trustworthiness, and information quality to intentions to use AI chatbots. Sex differences were found, with men prioritizing the quality of information, while women emphasize the source trustworthiness. Compared to replicated research, distinct cultural and demographic factors influenced adoption outcomes. Despite user-intuitive control similar to internet-mediated human communication, which facilitates adoption among young people, users remain cautious due to risks like hallucinations, social bias, misinformation, or adversarial prompts. The study contributes theoretically and empirically to understanding how AI chatbots affect work-related behavior and decision-making.

• Jezik: Angleški jezik
• Ključne besede: unified theory of acceptance and use of technology, information adoption model, large language model, generative artificial intelligence tool, replication study
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FDV - Fakulteta za družbene vede
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2026
• Št. strani: Str. 8826–8850
• Številčenje: Vol. 42, no. 12
• PID: 20.500.12556/RUL-183592
• UDK: 005.951:005.63:004.8
• ISSN pri članku: 1532-7590
• DOI: 10.1080/10447318.2025.2573037
• COBISS.SI-ID: 257726723
• Datum objave v RUL: 16.06.2026

Gradivo je del revije

• Naslov: International journal of human-computer interaction
• Skrajšan naslov: Int. j. hum.-comput. interact.
• Založnik: Taylor & Francis
• ISSN: 1532-7590
• COBISS.SI-ID: 521463833

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: delo, umetna intelligenca

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P5-0399
• Naslov: Internetno raziskovanje

• Financer: Prague University of Economics and Business, Faculty of Informatics and Statistics
• Program financ.: Institutional Support Fund for Long-Term Conceptual Development of Science and Research
• Številka projekta: IP400040