JOURNAL ARTICLE

The Role of IT Infrastructure in Remote Audits: Evidence from Audits Completed During the Pandemic.

  • Published In: Auditing: A Journal of Practice & Theory, 2026, v. 45, n. 2. P. 121 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Liao, Lin; Sharma, Divesh S.; Sharma, Vineeta D.; Singh, Madhukar K. 3 of 3

Abstract

SUMMARY: The unprecedented disruptions caused by the COVID-19 pandemic catalyzed the transition to remote audits becoming the new normal. However, remote audits do not occur in a vacuum but require supportive information technology (IT) infrastructure. Distinct from the literature, we develop a measure that captures the extent to which lockdown days affect the audit and introduce a measure of IT infrastructure. Our baseline findings indicate that longer lockdowns occurring during the audit are associated with lower audit fees, longer audit report lag, and lower audit quality. Hypotheses test results reveal that stronger client IT infrastructure moderates the effect of longer lockdowns occurring during the audit, resulting in effective and efficient audits. Our robust results have timely and relevant implications for the literature, policy makers, and the profession. Our study underscores that the efficacy of remote audits will hinge on the quality of IT infrastructure through which remote audits are implemented. Data Availability: All data are available from sources cited in the text. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Auditing: A Journal of Practice & Theory. 2026/05, Vol. 45, Issue 2, p121
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2026
  • ISSN:0278-0380
  • DOI:10.2308/AJPT-2023-064
  • Accession Number:193401886
  • Copyright Statement:Copyright of Auditing: A Journal of Practice & Theory is the property of American Accounting Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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