I METADATI DI QUESTO DOI SONO STATI AGGIORNATI IL: 2024-01-10 23:08
Titolo completo
FINANCIAL REPORTING
Editore
FrancoAngeli
ISSN
2036-671X (Rivista Stampata)
2036-6779 (Rivista Online)
Numero del fascicolo
2
Designazione del fascicolo
2
Data del fascicolo
2022
Titolo completo
Accounting and Big Data: Trends, opportunities and direction for practitioners and researchers
Di (autore)
Prima Pagina
89
Ultima Pagina
112
Lingua del testo
Inglese
Data di publicazione
2022/11
Copyright
2022 FrancoAngeli srl
Introduzione o prefazione
Big Data, the Internet of Things and Machine Learning are only today starting to be widely used but are already attracting interest. They can generate a significant impact on business management. This article analyses use and exploitation of Big Data by business management, focusing on its role in reshaping accounting information systems. The Internet of Things and Machine Learning play a key role in obtaining insights and value in this complex world. Like other areas of business, the accounting function is showing growing interest in their possible applications. We analyze, from three perspectives, how big data impacts on the accounting role in supporting managers and decision-making process, also with the aim to define future research lines that scholars could explore. An internal perspective focuses on how big data can impact management accounting; an external perspective focuses on a new dimension of financial accounting and disclosure of information; and a third perspective, the control one, fo- cuses on the impact of big data on internal and external audit procedures.
Citazione non strutturata
American Institute of Certified Public Accountants (1988), Statement on Auditing Standards No. 59: The Auditor’s Consideration of an Entity’s Ability to Continue as a Going Concern. (New York: AICPA).
Citazione non strutturata
Association of Certified Fraud Examiners (ACFE), 2021. 2020 Global Fraud Study. -- Available at: https://www.acfe.com/report-to-the-nations/2020/.
Citazione non strutturata
Barton D., & Court D. (2012), Making advanced analytics work for you, Harvard Business Review, 90, p. 78.
Citazione non strutturata
Basoglu K. A., & Hess T. J. (2014), Online Business Reporting: A Signaling Theory Perspective, Journal of Information Systems,
28(2), pp. 67-101,
https://doi.org/10.2308/isys-50780
Citazione non strutturata
Belfo F., & Trigo A. (2013), Accounting Information Systems: Tradition and Future Directions, Procedia Technology, 9, pp.
536-546,
https://doi.org/10.1016/j.protcy.2013.12.060
Citazione non strutturata
Bollen J., Mao H., & Zeng X. (2011), Twitter mood predicts the stock market, Journal of Computational Science, 2(1), pp. 1-8,
https://doi.org/10.1016/j.jocs.2010.12.007
Citazione non strutturata
Bourmistrov A., & Kaarbøe K. (2013), From comfort to stretch zones: A field study of two multinational companies applying
“beyond budgeting” ideas, Management Accounting Research, 24(3), pp. 196-211,
https://doi.org/10.1016/j.mar.2013.04.001
Citazione non strutturata
Brynjolfsson E., & McAfee A. (2017), The business of artificial intelligence. -- available on the internet at https://hbr.org/cover-story/2017/07/the-business-ofartificial-intelligence.
Citazione non strutturata
Canadian Institute of Chartered Accountants/American Institute of Certified Public Accountants (CICA/AICPA) (1999), Research Report: Continuous Auditing. Toronto, (Canada: CICA, AICPA).
Citazione non strutturata
Cao M., Chychyla R., & Stewart T. (2015), Big data analytics in financial statement audits, Accounting Horizons, 29(2), pp.
423-429,
https://doi.org/10.2308/acch-51068
Citazione non strutturata
Chae B., Yang C., Olson D., & Sheu C. (2014), The impact of advanced analytics and data accuracy on operational performance:
A contingent resource based theory (RBT) perspective, Decision Support Systems, 59(1), pp. 119-126,
https://doi.org/10.1016/j.dss.2013.10.012
Citazione non strutturata
Chui M., Loffler M., & Roberts R. (2010), The internet of things. McKinsey Q., pp. 70-79.
Citazione non strutturata
Cowie R., Douglas-Cowie E., Tsapatsoulis N., Votsis G., Kollias S., Fellenz W., & Taylor J. (2001), Emotion recognition in
human-computer interaction, IEEE Signal Processing Magazine, 18(1), pp. 32-80.
https://doi.org/10.1109/79.911197
Citazione non strutturata
Crawley M., & Wahlen J. (2014), Analytics in empirical/archival financial accounting research, Business Horizons, 57(5), pp.
583-593.
https://doi.org/10.1016/j.bushor.2014.05.002
Citazione non strutturata
Davenport T. H., Harris J., & Shapiro J. (2010), Competing on talent analytics. Harvard Business Review, 88(10), pp. 52-58.
Citazione non strutturata
Earley C. E. (2015), Data analytics in auditing: Opportunities and challenges, Business Horizons, 58(5), pp. 493-500,
https://doi.org/10.1016/j.bushor.2015.05.002
Citazione non strutturata
Gal G. (2008), Query Issues in Continuous Reporting Systems, Journal of Emerging Technologies in Accounting, 5(1), pp. 81-97,
https://doi.org/10.2308/jeta.2008.5.1.81
Citazione non strutturata
Gartner (2016), IT glossary. -- Available on-line at: http://www.gartner.com/it-glossary/big-data/.
Citazione non strutturata
Ghahramani Z. (2015), Probabilistic machine learning and artificial intelligence, Nature, 521(7553), pp. 452-459,
https://doi.org/10.1038/nature14541
Citazione non strutturata
Gorla N., Somers T. M., & Wong B. (2010), Organizational impact of system quality, information quality, and service quality,
Journal of Strategic Information Systems, 19(3), pp. 207-228,
https://doi.org/10.1016/j.jsis.2010.05.001
Citazione non strutturata
Grabski S. V., Leech S. A., & Schmidt P. J. (2011), A review of ERP research: A future agenda for accounting information systems,
Journal of Information Systems, 25(1), pp. 37-78,
https://doi.org/10.2308/jis.2011.25.1.37
Citazione non strutturata
Griffin P. A., & Wright A. M. (2015), Commentaries on big data’s importance for accounting and auditing, Accounting Horizons,
29(2), pp. 377-379,
https://doi.org/10.2308/acch-51066
Citazione non strutturata
Groomer S. M., & Murthy U. S. (2003), Monitoring High Volume On-line Transaction Processing Systems Using a Continuous Sampling
Approach. International Journal of Auditing, 7(1), pp. 3-19,
https://doi.org/10.1111/1099-1123.00002
Citazione non strutturata
Hardgrave B., Aloysius J., and Goyal S. (2013), RFID-enabled visibility and retail inventory record inaccuracy: Experiments
in the field, Production and Operations Management, 22(4), pp. 843-856.
https://doi.org/10.1111/poms.12010
Citazione non strutturata
Haverson A. (2014), Why Predictive Analytics Should Be "A CPA Thing". (New York, NY: AICPA).
Citazione non strutturata
Holton C. (2009), Identifying disgruntled employee systems fraud risk through text mining: A simple solution for a multi-billion
dollar problem. Decision Support Systems, 46(4), pp. 853-864,
https://doi.org/10.1016/j.dss.2008.11.013
Citazione non strutturata
Huerta E., & Jensen S. (2017), An accounting information systems perspective on data analytics and big data, Journal of Information
Systems, 31(3), pp. 101-114,
https://doi.org/10.2308/isys-51799
Citazione non strutturata
Kaplan A., & Haenlein M. (2019), Digital transformation and disruption: On big data, blockchain, artificial intelligence,
and other things, Business Horizons, 62(6), pp. 679-681,
https://doi.org/10.1016/j.bushor.2019.07.001
Citazione non strutturata
Kaplan R. S., & Norton D. P. (1996), Strategic Learning & the Balanced Scorecard, Strategy & Leadership, 24(5), pp. 18-24,
https://doi.org/10.1108/eb054566
Citazione non strutturata
Krahel J. P., & Titera W. R. (2015), Consequences of big data and formalization on accounting and auditing standards, Accounting
Horizons, 29(2), pp. 409-422,
https://doi.org/10.2308/acch-51065
Citazione non strutturata
Kuhn J. R., & Sutton S. G. (2010), Continuous auditing in ERP system environments: The current state and future directions,
Journal of Information Systems, 24(1), pp. 91-112,
https://doi.org/10.2308/jis.2010.24.1.91
Citazione non strutturata
Laney D. (2001, February 6), 3D data management: Controlling data volume, velocity, and variety. META Group. -- Retrieved from http://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf.
Citazione non strutturata
Lee I. (2017), Big data: Dimensions, evolution, impacts, and challenges, Business Horizons, 60(3), pp. 293-303,
https://doi.org/10.1016/j.bushor.2017.01.004
Citazione non strutturata
Lee I., & Shin Y. J. (2020), Machine learning for enterprises: Applications, algorithm selection, and challenges, Business
Horizons, 63(2), pp. 157-170¸
https://doi.org/10.1016/j.bushor.2019.10.005
Citazione non strutturata
Lev B., & Gu F. (2016), The end of accounting and the path forward for investors and managers.
https://doi.org/10.1002/9781119270041
Citazione non strutturata
Mittermayer M. A. (2004), Forecasting intraday stock price trends with text mining techniques, Proceedings of the Hawaii International
Conference on System Sciences, 37(C), pp, 1029-1038,
https://doi.org/10.1109/HICSS.2004.1265201
Citazione non strutturata
Moffitt K. C., & Vasarhelyi M. A. (2013), AIS in an age of big data, Journal of Information Systems, 27(2), pp. 1-19,
https://doi.org/10.2308/isys-10372
Citazione non strutturata
Mullainathan S., & Spiess J. (2017), Machine learning: An applied econometric approach, Journal of Economic Perspectives,
31(2), pp. 87-106,
https://doi.org/10.1257/jep.31.2.87
Citazione non strutturata
Quattrone P. (2016), Management accounting goes digital: Will the move make it wiser?, Management Accounting Research, 31,
pp. 118-122,
https://doi.org/10.1016/j.mar.2016.01.003
Citazione non strutturata
Redman T. C. (2013), Data's credibility problem, Harvard business review: HBR, 91(12).
Citazione non strutturata
Reiner J., and Sullivan M. (2005), RFID in healthcare, Healthcare Purchasing News, 29(6): pp. 74-76.
Citazione non strutturata
Torpey D., Walden V., and Sherrod M. (2009), Fraud triangle analytics, Fraud Magazine.
Citazione non strutturata
Turnbull L. (2006), Why I Can’t Wait for the RFID Dream to Become a Full-Blown Reality. -- Available at: http://www.canadianshipper.com/features/why-i-can-t-wait-for-the-rfid-dream-to-become-a-fullblown-reality/.
Citazione non strutturata
Vasarhelyi M. A. (2012), AIS in a more rapidly evolving Era, Journal of Information Systems, 26(1), pp. 1-5,
https://doi.org/10.2308/isys-10280
Citazione non strutturata
Vasarhelyi M. A., Alles M. G., & Kogan A. (2004), Principles of Analytic Monitoring for Continuous Assurance, Journal of Emerging
Technologies in Accounting, 1(1), pp. 1-21,
https://doi.org/10.2308/jeta.2004.1.1.1
Citazione non strutturata
Vasarhelyi M. A., Kogan A., & Tuttle B. M. (2015), Big data in accounting: An overview, Accounting Horizons, 29(2), pp. 381-396,
https://doi.org/10.2308/acch-51071
Citazione non strutturata
Vijayanarasimhan S., & Grauman K. (2014), Large-scale live active learning: Training object detectors with crawled data and
crowds, International Journal of Computer Vision, 108(1-2), pp. 97-114,
https://doi.org/10.1007/s11263-014-0721-9
Citazione non strutturata
Warren J. D., Moffitt K. C., & Byrnes P. (2015), How big data will change accounting, Accounting Horizons, 29(2), pp. 397-407,
https://doi.org/10.2308/acch-51069
Citazione non strutturata
Yoon K., Hoogduin L., & Zhang L. (2015), Big data as complementary audit evidence, Accounting Horizons, 29(2), pp. 431-438,
https://doi.org/10.2308/acch-51076
Citazione non strutturata
Zicari R. V. (2015). From classical analytics to big data analytics. -- Available on- line on December 21, 2016 at -- http://www.odbms.org/2015/08/from-classical-analytics-to-big-data-analytics/.