References
Alles, Michael. 2015. “Drivers of the Use and Facilitators and
Obstacles of the Evolution of Big Data by the Audit Profession.”
Accounting Horizons 29 (2): 439–49. https://publications.aaahq.org/accounting-horizons/article-abstract/29/2/439/2188.
Alles, Michael, and Glen Gray. 2016. “Incorporating Big Data in
Audits: Identifying Inhibitors and a Research Agenda to
Address Those Inhibitors.” International Journal of
Accounting Information Systems 22: 44–59. https://www.sciencedirect.com/science/article/pii/S1467089516300811.
American Institute of Certified Public Accountants (AICPA). 2015.
Audit Analytics and Continuous
Audit: Looking Toward the
Future.
American Institute of Certified Public Accountants (AICPA). 2017.
Description Criteria for Management’s
Description of the Entity’s
Cybersecurity Risk Management
Program.
Appelbaum, Deniz. 2016. “Securing Big Data Provenance for
Auditors: The Big Data Provenance Black Box as Reliable
Evidence.” Journal of Emerging Technologies in
Accounting 13 (1): 17–36. https://publications.aaahq.org/jeta/article-abstract/13/1/17/9219.
Appelbaum, Deniz, Alexander Kogan, and Miklos A. Vasarhelyi. 2017.
“Big Data and Analytics in the Modern Audit
Engagement: Research Needs.” Auditing: A Journal
of Practice & Theory 36 (4): 1–27. https://publications.aaahq.org/ajpt/article-abstract/36/4/1/6016.
Barr-Pulliam, Dereck, Helen L. Brown-Liburd, and Amanda G. Carlson.
2023. “Do Audit Data
Analytics Influence Juror
Perceptions of Audit Quality and
Auditor Negligence?” Current Issues
in Auditing 17 (2): P1–10. https://publications.aaahq.org/cia/article/17/2/P1/10096.
Barton, Dominic, and David Court. 2012. “Making Advanced Analytics
Work for You.” Harvard Business Review 90 (10): 78–83.
http://www.buyukverienstitusu.com/s/1870/i/Making_Advanced_Analytics_Work_For_You.pdf.
Bollen, Johan, Huina Mao, and Xiaojun Zeng. 2011. “Twitter Mood
Predicts the Stock Market.” Journal of Computational
Science 2 (1): 1–8. https://www.sciencedirect.com/science/article/pii/S187775031100007X.
Cao, Min, Roman Chychyla, and Trevor Stewart. 2015. “Big Data
Analytics in Financial Statement Audits.” Accounting
Horizons 29 (2): 423–29. https://publications.aaahq.org/accounting-horizons/article-abstract/29/2/423/2177.
Columbus. 2017. “53% Of Companies
Are Adopting Big
Data Analytics.” Forbes. https://www.forbes.com/sites/louiscolumbus/2017/12/24/53-of-companies-are-adopting-big-data-analytics/?sh=6c98f39939a1.
Crawley, Michael, and James Wahlen. 2014. “Analytics in
Empirical/Archival Financial Accounting Research.” Business
Horizons 57 (5): 583–93. https://www.sciencedirect.com/science/article/pii/S0007681314000792.
Dai, Jun, and Miklos A. Vasarhelyi. 2016. “Imagineering
Audit 4.0.” Journal of Emerging Technologies in
Accounting 13 (1): 1–15. https://publications.aaahq.org/jeta/article-abstract/13/1/1/9242.
Davis, Angela K., Jeremy M. Piger, and Lisa M. Sedor. 2012.
“Beyond the Numbers: Measuring the
Information Content of Earnings
Press Release Language.”
Contemporary Accounting Research 29 (3): 845–68. https://doi.org/10.1111/j.1911-3846.2011.01130.x.
Deloitte. 2016. Tax Data Analytics
A New Era for Tax
Planning and Compliance. https://www2.deloitte.com/content/dam/Deloitte/us/Documents/Tax/us-tax-data-analytics-a-new-era-for-tax-planning-and-compliance.pdf.
Deloitte. 2024. Deloitte Invests $2 Billion to Accelerate
IndustryAdvantage™ for Its Clients. https://www2.deloitte.com/us/en/pages/about-deloitte/articles/press-releases/deloitte-invests-two-billion-to-accelerate-industryadvantage-for-its-clients.html.
Estep, Cassandra, Emily E Griffith, and Nikki L MacKenzie. 2024.
“How Do Financial Executives Respond to the Use of Artificial
Intelligence in Financial Reporting and Auditing?” Review of
Accounting Studies 29 (3): 2798–831.
EY. 2023. EY Announces Launch of Artificial Intelligence Platform
EY.ai Following US$1.4b Investment. https://www.ey.com/en_gl/newsroom/2023/09/ey-announces-launch-of-artificial-intelligence-platform-ey-ai-following-us-1-4b-investment.
Fedyk, Anastassia, James Hodson, Natalya Khimich, and Tatiana Fedyk.
2022. “Is Artificial Intelligence Improving the Audit
Process?” Review of Accounting Studies 27 (3): 938–85.
Feldman, Ronen, Suresh Govindaraj, Joshua Livnat, and Benjamin Segal.
2010. “Management’s Tone Change, Post Earnings Announcement Drift
and Accruals.” Review of Accounting Studies 15 (4):
915–53. https://doi.org/10.1007/s11142-009-9111-x.
Forbes. 2024. The Dawn of a New Era: AI’s Revolutionary Role in
Accounting. https://www.forbes.com/sites/neilsahota/2024/04/22/the-dawn-of-a-new-era-ais-revolutionary-role-in-accounting/?sh=1ff4bc4858af.
Krahel, John Peter, and William R. Titera. 2015. “Consequences of
Big Data and Formalization on Accounting and Auditing Standards.”
Accounting Horizons 29 (2): 409–22. https://publications.aaahq.org/accounting-horizons/article/29/2/409/2149.
Lehavy, Reuven, Feng Li, and Kenneth Merkley. 2011. “The Effect of
Annual Report Readability on Analyst Following and the Properties of
Their Earnings Forecasts.” The Accounting Review 86 (3):
1087–115. https://publications.aaahq.org/accounting-review/article-abstract/86/3/1087/3300.
Li, Feng. 2008. “Annual Report Readability, Current Earnings, and
Earnings Persistence.” Journal of Accounting and
Economics 45 (2-3): 221–47. https://www.sciencedirect.com/science/article/pii/S0165410108000141.
Li, Feng. 2010. “The Information Content
of Forward‐Looking Statements in
Corporate Filings—A
Naïve Bayesian Machine
Learning Approach.” Journal of
Accounting Research 48 (5): 1049–102. https://doi.org/10.1111/j.1475-679X.2010.00382.x.
Li, Feng, Russell Lundholm, and Michael Minnis. 2013. “A
Measure of Competition Based on
10‐K Filings.” Journal of
Accounting Research 51 (2): 399–436. https://doi.org/10.1111/j.1475-679X.2012.00472.x.
Loten, Angus. 2023. PricewaterhouseCoopers to Pour $1 Billion into
Generative AI. https://www.wsj.com/articles/pricewaterhousecoopers-to-pour-1-billion-into-generative-ai-cac2cedd.
Persico, F, H Sidhu, et al. 2017. “How
AI Will Turn Auditors into Analysts.” Accounting Today.
https://www.accountingtoday.com/opinion/how-ai-will-turn-auditors-into-analysts.
Protiviti. 2017. Embracing Analytics in
Auditing. https://www.protiviti.com/sites/default/files/2022-06/2017-internal-audit-capabilities-and-needs-survey-protiviti.pdf.
Provost, Foster, and Tom Fawcett. 2013. “Data Science
and Its Relationship to Big Data
and Data-Driven Decision
Making.” Big Data 1 (1): 51–59. https://doi.org/10.1089/big.2013.1508.
Raschka, Sebastian, Yuxi (Hayden) Liu, and Vahid Mirjalili. 2022.
Machine Learning with PyTorch and Scikit-Learn: Develop Machine
Learning and Deep Learning Models with Python. Packt Publishing. https://books.google.com/books/about/Machine_Learning_with_PyTorch_and_Scikit.html?id=SVxaEAAAQBAJ.
Reddi, Vijay. 2025. Machine Learning Systems. "Creative
Commons". https://mlsysbook.ai/.
Rhys, Hefin. 2020. Machine Learning with r, the Tidyverse, and
Mlr. Simon; Schuster.
Richins, Greg, Andrea Stapleton, Theophanis C. Stratopoulos, and
Christopher Wong. 2017. “Big Data Analytics: Opportunity or Threat
for the Accounting Profession?” Journal of Information
Systems 31 (3): 63–79. https://publications.aaahq.org/jis/article-abstract/31/3/63/1114.
Rose, Anna M., Jacob M. Rose, Kerri-Ann Sanderson, and Jay C. Thibodeau.
2017. “When Should Audit Firms Introduce Analyses of Big Data into
the Audit Process?” Journal of Information Systems 31
(3): 81–99. https://publications.aaahq.org/jis/article-abstract/31/3/81/1123.
Schatsky, D, C Muraskin, and G Ragu. 2015. Cognitive Technologies:
The Real Opportunities for Business. https://www2.deloitte.com/us/en/insights/deloitte-review/issue-16/cognitive-technologies-business-applications.html.
Schneider, Gary P., Jun Dai, Diane J. Janvrin, Kemi Ajayi, and Robyn L.
Raschke. 2015. “Infer, Predict, and Assure:
Accounting Opportunities in Data Analytics.”
Accounting Horizons 29 (3): 719–42. https://publications.aaahq.org/accounting-horizons/article-abstract/29/3/719/2262.
Sivarajah, Uthayasankar, Muhammad Mustafa Kamal, Zahir Irani, and
Vishanth Weerakkody. 2017. “Critical Analysis of Big
Data Challenges and Analytical Methods.” Journal
of Business Research 70: 263–86. https://www.sciencedirect.com/science/article/pii/S014829631630488X.
The Economist. 2017. The World’s Most Valuable Resource Is No Longer
Oil, but Data. https://www.economist.com/leaders/2017/05/06/the-worlds-most-valuable-resource-is-no-longer-oil-but-data.
Vasarhelyi, Miklos A., Alexander Kogan, and Brad M. Tuttle. 2015.
“Big Data in Accounting: An Overview.”
Accounting Horizons 29 (2): 381–96. https://publications.aaahq.org/accounting-horizons/article-abstract/29/2/381/2184.
Verver, John. 2015. “Six Audit Analytics
Success Factors.” Internal
Auditor 72 (3).
Vien, Courtney. 2018. “Using Drones to Enhance Audit.”
Journal of Accountancy. https://www.journalofaccountancy.com/podcast/using-drones-to-enhance-audits.html.
Warren, J. Donald, Kevin C. Moffitt, and Paul Byrnes. 2015. “How
Big Data Will Change Accounting.” Accounting Horizons 29
(2): 397–407. https://publications.aaahq.org/accounting-horizons/article/29/2/397/2168.
Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023.
R for Data Science. " O’Reilly Media, Inc.". https://r4ds.hadley.nz/.
Yoon, Kyunghee, Lucas Hoogduin, and Li Zhang. 2015. “Big Data as
Complementary Audit Evidence.” Accounting Horizons 29
(2): 431–38. https://publications.aaahq.org/accounting-horizons/article/29/2/431/2215.
Zhang, Juan, Xiongsheng Yang, and Deniz Appelbaum. 2015. “Toward
Effective Big Data Analysis in Continuous Auditing.”
Accounting Horizons 29 (2): 469–76. https://publications.aaahq.org/accounting-horizons/article/29/2/469/2160.