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Data analytics in auditing: Opportunities and challenges

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Cited by:

  1. Margaret H. Christ & Scott A. Emett & Scott L. Summers & David A. Wood, 2021. "Prepare for takeoff: improving asset measurement and audit quality with drone-enabled inventory audit procedures," Review of Accounting Studies, Springer, vol. 26(4), pages 1323-1343, December.
  2. Ivy Munoko & Helen L. Brown-Liburd & Miklos Vasarhelyi, 2020. "The Ethical Implications of Using Artificial Intelligence in Auditing," Journal of Business Ethics, Springer, vol. 167(2), pages 209-234, November.
  3. Felix Wirges & Anne-Katrin Neyer, 2023. "Towards a process-oriented understanding of HR analytics: implementation and application," Review of Managerial Science, Springer, vol. 17(6), pages 2077-2108, August.
  4. 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.
  5. Gambetta, Nicolás & García-Benau, María Antonia & Zorio-Grima, Ana, 2016. "Data analytics in banks' audit: The case of loan loss provisions in Uruguay," Journal of Business Research, Elsevier, vol. 69(11), pages 4793-4797.
  6. Chiu, Peng-Chia & Teoh, Siew Hong & Zhang, Yinglei & Huang, Xuan, 2023. "Using Google searches of firm products to detect revenue management," Accounting, Organizations and Society, Elsevier, vol. 109(C).
  7. Andiola, Lindsay M. & Masters, Erin & Norman, Carolyn, 2020. "Integrating technology and data analytic skills into the accounting curriculum: Accounting department leaders’ experiences and insights," Journal of Accounting Education, Elsevier, vol. 50(C).
  8. Ahmad Faisal Hayek & Nora Azima Noordin & Khaled Hussainey, 2022. "Machine Learning and External Auditor Perception: An Analysis for UAE External Auditors Using Technology Acceptance Model," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 21(4), pages 475-500, December.
  9. Xu, Hui & Liu, Yuebing & Krahel, John Peter, 2024. "Faculty intention to implement data analytics in the accounting curricula," Journal of Accounting Education, Elsevier, vol. 66(C).
  10. Vitali, Sonia & Giuliani, Marco, 2024. "Emerging digital technologies and auditing firms: Opportunities and challenges," International Journal of Accounting Information Systems, Elsevier, vol. 53(C).
  11. Gianluca Gabrielli & Alice Medioli & Paolo Andrei, 2022. "Accounting and Big Data: Trends, opportunities and direction for practitioners and researchers," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2022(2), pages 89-112.
  12. Brave, Scott A. & Butters, R. Andrew & Fogarty, Michael, 2022. "The perils of working with big data, and a SMALL checklist you can use to recognize them," Business Horizons, Elsevier, vol. 65(4), pages 481-492.
  13. Nathanael Betti & Steven DeSimone & Joy Gray, 2022. "The impacts of the use of data analytics and the performance of consulting activities on perceived internal audit quality," Working Papers 2202, College of the Holy Cross, Department of Economics.
  14. Riccardo Camilli & Hira Salah ud din Khan, 2023. "Book Review," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2023(2), pages 137-144.
  15. Booker, Danielle D. & Pelzer, Josette R.E. & Richardson, Jeremy R., 2023. "Integrating data analytics into the auditing curriculum: Insights and perceptions from early-career auditors," Journal of Accounting Education, Elsevier, vol. 64(C).
  16. 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).
  17. Thorsten Sellhorn, 2020. "Machine Learning und empirische Rechnungslegungsforschung: Einige Erkenntnisse und offene Fragen [Machine Learning and Empirical Accounting Research: Some Findings and Open Questions]," Schmalenbach Journal of Business Research, Springer, vol. 72(1), pages 49-69, March.
  18. Van Landuyt, Ben W., 2021. "Does emphasizing management bias decrease auditors’ sensitivity to measurement imprecision?," Accounting, Organizations and Society, Elsevier, vol. 88(C).
  19. McIver, Derrick & Lengnick-Hall, Mark L. & Lengnick-Hall, Cynthia A., 2018. "A strategic approach to workforce analytics: Integrating science and agility," Business Horizons, Elsevier, vol. 61(3), pages 397-407.
  20. Mihai-Răzvan Sanda & Cristina-Petrina Trincu-Drăgușin & Costin-Daniel Avram, 2022. "The Alignment of INTOSAI and Romanian Public External Audit Standards, Guidelines and Institutional Focus to the Data Driven Context," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 418-428, Decembrie.
  21. Khaldoon Al-Htaybat & Larissa von Alberti-Alhtaybat & Zaidoon Alhatabat, 2018. "Educating digital natives for the future: accounting educators’ evaluation of the accounting curriculum," Accounting Education, Taylor & Francis Journals, vol. 27(4), pages 333-357, July.
  22. Lukui Huang & Alan Abrahams & Peter Ractham, 2022. "Enhanced financial fraud detection using cost‐sensitive cascade forest with missing value imputation," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(3), pages 133-155, July.
  23. Viorica NEACSU B., 2021. "Technologies And Their Impact On Audit," Internal Auditing and Risk Management, Athenaeum University of Bucharest, vol. 61(1), pages 63-71, March.
  24. Victoria STANCIU & Crina SERIA, 2019. "Insights on the New Coordinates in Internal Audit," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 17(154), pages 261-261.
  25. Salonee Patel & Manan Shah, 2023. "A Comprehensive Study on Implementing Big Data in the Auditing Industry," Annals of Data Science, Springer, vol. 10(3), pages 657-677, June.
  26. Freiman, Jamie W. & Kim, Yongbum & Vasarhelyi, Miklos A., 2022. "Full population testing: Applying multidimensional audit data sampling (MADS) to general ledger data auditing," International Journal of Accounting Information Systems, Elsevier, vol. 46(C).
  27. Francis Aboagye‐Otchere & Cletus Agyenim‐Boateng & Abdulai Enusah & Theodora Ekua Aryee, 2021. "A Review of Big Data Research in Accounting," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(4), pages 268-283, October.
  28. Jean Robert Kala Kamdjoug & Hyacinthe Djanan Sando & Jules Raymond Kala & Arielle Ornela Ndassi Teutio & Sunil Tiwari & Samuel Fosso Wamba, 2024. "Data analytics-based auditing: a case study of fraud detection in the banking context," Annals of Operations Research, Springer, vol. 340(2), pages 1161-1188, September.
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