Date
6-17-2026
Department
School of Behavioral Sciences
Degree
Doctor of Philosophy in Psychology (PhD)
Chair
Gilbert Franco
Keywords
technology acceptance, artificial intelligence, ChatGPT, technology self-efficacy, occupational self-efficacy, decision making confidence.
Disciplines
Psychology
Recommended Citation
Lewis, Niya, "Technology Acceptance and ChatGPT Use in the Workplace" (2026). Doctoral Dissertations and Projects. 8612.
https://digitalcommons.liberty.edu/doctoral/8612
Abstract
Artificial intelligence is increasingly being integrated into organizations and workplaces increasing the need to better understand the influence this technology has on employees. Research investing psychological factors that influence employees' intended use and benefits of these technology tools will help to better understand strategies to support adaptation and effective use of these tools for employees. This quantitative correlational study examined the relationships among technology self-efficacy (TSE), perceived usefulness (PU), decision-making confidence (DMC), occupational self-efficacy (OSE), and technology acceptance (TA) of ChatGPT among working adults across various occupational sectors. Mediating and predictive mechanisms that influence workers objectives to engage with ChatGPT for work related task were examined supported in the Social Cognitive Theory (SCT), Technology Acceptance Model (TAM), and the Unified Theory of Acceptance and Use of Technology (UTAUT). Data was collected via an online survey and consisted of a convenience sample of 135 working adults that used ChatGPT in the last year at least one time for work related support. Findings revealed that technology sell-efficacy significantly predicted decision-making confidence and technology acceptance in study participants. Additionally, multiple regression analysis revealed perceived usefulness predicted technology acceptance and occupational self-efficacy. These findings contribute to artificial intelligence acceptance and adoption in the workforce and offer insight into the significance of confidence in using technology and perceived task utility impact on employees' occupational esteem and performance.
