AI-based audit acceptance and auditors’ technology readiness

This study investigates auditors' willingness to adopt AI-based audit tools using the AI Device Use Acceptance (AIDUA) model, focusing on the factors influencing acceptance and the moderating role of technology readiness. Data were collected from 153 certified external auditors in Jordan, representing a 30% response rate. The findings reveal that social influence and hedonic motivation positively impact performance expectancy, while anthropomorphism influences effort expectancy. Emotions significantly affect auditors' willingness to adopt AI-based audits, moderated by their technology readiness. This study contributes to the literature by utilizing the AIDUA framework to understand AI acceptance in auditing, offering insights into the unique aspects of AI technologies. The results highlight the importance of understanding auditors' perceptions and readiness, providing valuable implications for practitioners and policymakers to develop strategies for effective AI integration in auditing. Future research should explore these dynamics in diverse cultural contexts and over extended periods to enhance the generalizability of the findings.

Authors

Publication Details

Journal
International Journal of Data and Network Science
Published
2025-01-01
DOI
https://doi.org/10.5267/j.ijdns.2024.8.013
Citations
2
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
4.21
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AI-based audit acceptance and auditors’ technology readiness

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2 citations
International Journal of Data and Network Science
Impact of AI and Big Data on Business and Society
4.21
article

AI-based audit acceptance and auditors’ technology readiness

Abdul Rahman Al Natour, Muhammad Turki Alshurideh, Hamzah Al-Mawalia, Yaser Allozia, Aram Nawaiseha, Hala Zaidana
article en
2 citations

Abstract

This study investigates auditors' willingness to adopt AI-based audit tools using the AI Device Use Acceptance (AIDUA) model, focusing on the factors influencing acceptance and the moderating role of technology readiness. Data were collected from 153 certified external auditors in Jordan, representing a 30% response rate. The findings reveal that social influence and hedonic motivation positively impact performance expectancy, while anthropomorphism influences effort expectancy. Emotions significantly affect auditors' willingness to adopt AI-based audits, moderated by their technology readiness. This study contributes to the literature by utilizing the AIDUA framework to understand AI acceptance in auditing, offering insights into the unique aspects of AI technologies. The results highlight the importance of understanding auditors' perceptions and readiness, providing valuable implications for practitioners and policymakers to develop strategies for effective AI integration in auditing. Future research should explore these dynamics in diverse cultural contexts and over extended periods to enhance the generalizability of the findings.

International Journal of Data and Network ScienceVol. 9(3)
Openalex Percentile: Top 6%
Impact of AI and Big Data on Business and Society
4.21
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