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What factors influence auditors' use of computer-assisted audit techniques?

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  • Bierstaker, James
  • Janvrin, Diane
  • Lowe, D. Jordan

Abstract

To meet the challenges of rapid advances in client technology, audit standards urge auditors to use computer-assisted audit tools and techniques (CAATs). However, recent research suggests that CAAT use is fairly low. This paper uses the Unified Theory of Acceptance and Use of Technology (UTAUT) to identify and then examines factors potentially influencing auditors' use or non-use of CAATs. Examining auditor use of CAATs is important because CAATs hold out the promise of improving audit efficiency and effectiveness. Data was obtained from 181 auditors from Big 4, national, regional, and local firms. Results indicate that outcome expectations, the extent of organizational pressures and technical infrastructure support influence the likelihood that auditors will use CAATs.

Suggested Citation

  • Bierstaker, James & Janvrin, Diane & Lowe, D. Jordan, 2014. "What factors influence auditors' use of computer-assisted audit techniques?," Advances in accounting, Elsevier, vol. 30(1), pages 67-74.
    • Handle: RePEc:eee:advacc:v:30:y:2014:i:1:p:67-74
    DOI: 10.1016/j.adiac.2013.12.005
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    References listed on IDEAS

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    Cited by:

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    5. Ahmad Almagrashi & Abdulwahab Mujalli & Tehmina Khan & Osama Attia, 2023. "Factors determining internal auditors’ behavioral intention to use computer-assisted auditing techniques: an extension of the UTAUT model and an empirical study," Future Business Journal, Springer, vol. 9(1), pages 1-19, December.
    6. Federica De Santis, 2018. "Big Data e revisione contabile: uno studio esplorativo nel contesto italiano," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(2), pages 129-154.
    7. Siew, Eu-Gene & Rosli, Khairina & Yeow, Paul H.P., 2020. "Organizational and environmental influences in the adoption of computer-assisted audit tools and techniques (CAATTs) by audit firms in Malaysia," International Journal of Accounting Information Systems, Elsevier, vol. 36(C).
    8. Rakipi, Romina & De Santis, Federica & D'Onza, Giuseppe, 2021. "Correlates of the internal audit function’s use of data analytics in the big data era: Global evidence," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 42(C).
    9. Konstantinos Petridis & Georgios Drogalas & Eleni Zografidou, 2021. "Internal auditor selection using a TOPSIS/non-linear programming model," Annals of Operations Research, Springer, vol. 296(1), pages 513-539, January.

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