Abstract
References
- Al-Htaybat, K., von Alberti-Alhtaybat, L. (2017). Big Data and corporate reporting: impacts and paradoxes. Accounting Auditing & Accountability Journal, 30(4), 850-873.
- Bhimani, A. (2015). Exploring big data's strategic consequences. Journal Of Information Technology (Palgrave Macmillan), 30(1), 66-69.
- 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
- 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.
- Griffin, P. A., Wright, A. M. (2015). Commentaries on Big Data's importance for accounting and auditing. Accounting Horizons, 29(2), 377-379.
- Krahel, J. P., Titera, W. R. (2015). Consequences of Big Data and formalization on accounting and auditing standards. Accounting Horizons, 29(2), 409-422.
- Palem, G. (2014). Formulating an executive strategy for big data analytics. Technology Innovation Management Review, 4(3), 25-34.
- 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.
- Warren, J. D., Moffitt, K. C., Byrnes, P. (2015). How Big Data will change accounting. Accounting Horizons, 29(2), 397-407.
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.
References
- Al-Htaybat, K., von Alberti-Alhtaybat, L. (2017). Big Data and corporate reporting: impacts and paradoxes. Accounting Auditing & Accountability Journal, 30(4), 850-873.
- Bhimani, A. (2015). Exploring big data's strategic consequences. Journal Of Information Technology (Palgrave Macmillan), 30(1), 66-69.
- 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
- 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.
- Griffin, P. A., Wright, A. M. (2015). Commentaries on Big Data's importance for accounting and auditing. Accounting Horizons, 29(2), 377-379.
- Krahel, J. P., Titera, W. R. (2015). Consequences of Big Data and formalization on accounting and auditing standards. Accounting Horizons, 29(2), 409-422.
- Palem, G. (2014). Formulating an executive strategy for big data analytics. Technology Innovation Management Review, 4(3), 25-34.
- 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.
- Warren, J. D., Moffitt, K. C., Byrnes, P. (2015). How Big Data will change accounting. Accounting Horizons, 29(2), 397-407.
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | September 1, 2018 |
| Published in Issue | Year 2018 Volume: 7 Issue: 1 |
Cite
PressAcademia Procedia (PAP) publishes proceedings of conferences, seminars and symposiums. PressAcademia Procedia aims to provide a source for academic researchers, practitioners and policy makers in the area of social and behavioral sciences, and engineering.
PressAcademia Procedia invites academic conferences for publishing their proceedings with a review of editorial board. Since PressAcademia Procedia is an double blind peer-reviewed open-access book, the manuscripts presented in the conferences can easily be reached by numerous researchers. Hence, PressAcademia Procedia increases the value of your conference for your participants.
PressAcademia Procedia provides an ISBN for each Conference Proceeding Book and a DOI number for each manuscript published in this book.
PressAcademia Procedia is currently indexed by DRJI, J-Gate, International Scientific Indexing, ISRA, Root Indexing, SOBIAD, Scope, EuroPub, Journal Factor Indexing and InfoBase Indexing.
Please contact to procedia@pressacademia.org for your conference proceedings.