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Cited by 298

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Mediating effect of use perceptions on technology readiness and adoption of artificial intelligence in accounting

Damerji, Hassan, Salimi, Anwar·2021·Accounting Education

Abstract

The use of Artificial Intelligence (AI) is growing rapidly in accounting practice, and firms desire new hires who have adopted this technology. Universities can prepare students to adopt AI. The purpose of this quantitative study was to examine whether perceived ease of use (PEOU) and perceived usefulness (PU) have an effect on the relationship between accounting students’ level of technology readiness and their decision to adopt AI. The study involved an examination of individual students’ perceptions of technology readiness and technology adoption. An online questionnaire consisting of 31 items gathering demographic information and perceptions of technology readiness, technology adoption, PEOU, and PU was administered to student participants. The findings from the study indicated that technology readiness has a significant influence on technology adoption. However, mediation analysis using hierarchical regression showed that the relationship between technology readiness and technology adoption of Artificial Intelligence is affected by both PEOU and PU.

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Metadata

Authors
Damerji, H., & Salimi, A.
Venue
Accounting Education
Published
2021-01-14
Volume
30
Issue
2
Pages
107-130
ISSN
  • 0963-9284 (ISSN-L)
  • 1468-4489
OpenAlex
W3123639435
Cited by
298
References
25
FWCI
34.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mediating effect of use perceptions on technology readiness and adoption of artificial intelligence in accounting. https://app.cochat.ai/papers/10.1080/09639284.2021.1872035
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Damerji, H., & Salimi, A. (2021). Mediating effect of use perceptions on technology readiness and adoption of artificial intelligence in accounting. Accounting Education. https://doi.org/10.1080/09639284.2021.1872035

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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