Understanding university students’ adoption of ChatGPT: A TAM-based exploration of key factors

Simple item page
dc.contributor.authorAgnihotri, Parul
dc.contributor.authorChen, Song
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2025-12-08T11:24:16Z
dc.date.available2025-12-08T11:24:16Z
dc.description.abstractThe rapid rise of AI chatbots like ChatGPT has spurred growing interest in understanding the factors that influence their adoption, especially in educational settings. This study focuses on identifying the key elements that shape university students’ intentions to use ChatGPT, using the technology acceptance model (TAM) as the theoretical foundation. The research integrates core constructs such as perceived ease of use (PEU), perceived usefulness (PU), perceived risk, trust, and technostress to examine their influence on the intention to use (IU) ChatGPT. Survey data from Indian university students were analyzed using the Smart PLS structural equation modeling technique. The findings reveal significant relationships between PEU, PU, and IU. Specifically, PEU emerged as a strong determinant of both PU and IU, underlining the importance of a user-friendly, intuitive interface in promoting ChatGPT adoption. Additionally, perceived risk was found to negatively impact IU, suggesting that addressing concerns related to privacy and misinformation is crucial for fostering trust and encouraging use. Although technostress had a smaller effect, it still played a notable role, indicating that the stress associated with using new technologies needs to be managed effectively through support mechanisms. Interestingly, trust did not significantly affect IU, challenging assumptions about its role in AI-driven technology adoption. This raises important questions about the specific factors that contribute to trust in such tools. The study’s findings reaffirm the relevance of TAM constructs in understanding ChatGPT adoption while also highlighting the importance of emotional and cognitive factors, such as perceived risk and stress. These findings contribute to the growing academic discussion surrounding AI chatbot adoption and offer actionable insights for AI developers, educators, and policymakers. This research highlights the importance of addressing both technical and emotional factors to ensure broader acceptance and effective use of AI technologies like ChatGPT in learning environments.en
dc.formattext
dc.identifier.doi10.15240/tul/001/2025-5-023
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/178365
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectAI adoption intentionen
dc.subjectperceived risken
dc.subjecttechnostressen
dc.subjectperceived usefulnessen
dc.subjecttechnology acceptance modelen
dc.subject.classificationM15
dc.subject.classificationO33
dc.subject.classificationD81
dc.titleUnderstanding university students’ adoption of ChatGPT: A TAM-based exploration of key factorsen
dc.typeArticleen
local.accessopen
local.citation.epage226
local.citation.spage211
local.facultyFaculty of Economics
local.filenameEM_4_2025_14
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue4
local.relation.volume28
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
E+M_4_2025_14_5_023.pdf
Size:
847.29 KB
Format:
Adobe Portable Document Format
Description:
článek
Download
Collections
Číslo 4