Research Article

BIG DATA ANALYTICS IN FINANCIAL REPORTING AND ACCOUNTING

Volume: 7 Number: 1 September 1, 2018
EN

BIG DATA ANALYTICS IN FINANCIAL REPORTING AND ACCOUNTING

Abstract

Purpose- This paper aims to discuss the impact of big data analytics on financial reporting and accounting within the institutional framework.

Methodology- The paper’s design is a qualitative study based on in-depth interviews with accounting professionals in different industries to determine and analyze potential uses and impacts of big data analytics in financial reporting and accounting.

Findings- The nature of accounting and financial reporting do not alter but traditional methods of recording, collecting and analyzing accounting information change. The revenue recognition in many industries including airways and telecommunication companies needs to process a large volume of data because of the complex billing systems. Furthermore, the big data and analytics present a pressing issue and in the same time a real opportunity for accountants working in forensic and valuation areas.

Conclusion- We concluded that the companies are tracking the policies and procedures of BDA adopted by other firms in trying to assure the legitimacy of their firm and to maintain and enhance their competitive advantages. In addition, financial reporting and accounting professionals try to adapt to the challenges regarding using and mastering new technologies and applications, they need to improve their capabilities and skills in the areas of big data analytics.

Keywords

References

  1. Al-Htaybat, K., von Alberti-Alhtaybat, L. (2017). Big Data and corporate reporting: impacts and paradoxes. Accounting Auditing & Accountability Journal, 30(4), 850-873.
  2. Bhimani, A. (2015). Exploring big data's strategic consequences. Journal Of Information Technology (Palgrave Macmillan), 30(1), 66-69.
  3. Coyne, E. M., Coyne, J. G., Walker, K. B. (2018). Big Data information governance by accountants. International Journal of Accounting & Information Management, Vol. 26 Issue: 1, pp.153-170, https://doi.org/10.1108/IJAIM-01-2017-0006
  4. DiMaggio, P. J., Powell, W. W. (1983). The iron cage revisited: institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2):147–60.
  5. Griffin, P. A., Wright, A. M. (2015). Commentaries on Big Data's importance for accounting and auditing. Accounting Horizons, 29(2), 377-379.
  6. Krahel, J. P., Titera, W. R. (2015). Consequences of Big Data and formalization on accounting and auditing standards. Accounting Horizons, 29(2), 409-422.
  7. Palem, G. (2014). Formulating an executive strategy for big data analytics. Technology Innovation Management Review, 4(3), 25-34.
  8. Sun, Z., Sun, L., Strang, K. (2018). Big Data analytics services for enhancing business intelligence. Journal Of Computer Information Systems, 58(2) Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2015). Big Data in Accounting: An Overview. Accounting Horizons, 29(2), 381-396.

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Publication Date

September 1, 2018

Submission Date

July 4, 2018

Acceptance Date

-

Published in Issue

Year 2018 Volume: 7 Number: 1

APA
Kaya, İ., & Akbulut, D. H. (2018). BIG DATA ANALYTICS IN FINANCIAL REPORTING AND ACCOUNTING. PressAcademia Procedia, 7(1), 256-259. https://doi.org/10.17261/Pressacademia.2018.892
AMA
1.Kaya İ, Akbulut DH. BIG DATA ANALYTICS IN FINANCIAL REPORTING AND ACCOUNTING. PAP. 2018;7(1):256-259. doi:10.17261/Pressacademia.2018.892
Chicago
Kaya, İdil, and Destan Halit Akbulut. 2018. “BIG DATA ANALYTICS IN FINANCIAL REPORTING AND ACCOUNTING”. PressAcademia Procedia 7 (1): 256-59. https://doi.org/10.17261/Pressacademia.2018.892.
EndNote
Kaya İ, Akbulut DH (September 1, 2018) BIG DATA ANALYTICS IN FINANCIAL REPORTING AND ACCOUNTING. PressAcademia Procedia 7 1 256–259.
IEEE
[1]İ. Kaya and D. H. Akbulut, “BIG DATA ANALYTICS IN FINANCIAL REPORTING AND ACCOUNTING”, PAP, vol. 7, no. 1, pp. 256–259, Sept. 2018, doi: 10.17261/Pressacademia.2018.892.
ISNAD
Kaya, İdil - Akbulut, Destan Halit. “BIG DATA ANALYTICS IN FINANCIAL REPORTING AND ACCOUNTING”. PressAcademia Procedia 7/1 (September 1, 2018): 256-259. https://doi.org/10.17261/Pressacademia.2018.892.
JAMA
1.Kaya İ, Akbulut DH. BIG DATA ANALYTICS IN FINANCIAL REPORTING AND ACCOUNTING. PAP. 2018;7:256–259.
MLA
Kaya, İdil, and Destan Halit Akbulut. “BIG DATA ANALYTICS IN FINANCIAL REPORTING AND ACCOUNTING”. PressAcademia Procedia, vol. 7, no. 1, Sept. 2018, pp. 256-9, doi:10.17261/Pressacademia.2018.892.
Vancouver
1.İdil Kaya, Destan Halit Akbulut. BIG DATA ANALYTICS IN FINANCIAL REPORTING AND ACCOUNTING. PAP. 2018 Sep. 1;7(1):256-9. doi:10.17261/Pressacademia.2018.892

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