Digitization Technologies and Contributions to Companies towards Accounting and Auditing Practices
DOI:
https://doi.org/10.46799/ijssr.v3i3.298Keywords:
blockchain, cloud computing, big data, accounting, auditingAbstract
The purpose of this study is to examine the development of digital technology, including blockchain technology, cloud computing and big data contributing to companies, as well as accounting and auditing practices. The study method uses a systematic literature review (SLR) with a bibliometric approach. The results of the study show that the consistent use of blockchain technology, cloud computing and big data has contributed to increasing organizational effectiveness and efficiency, but the problem of high costs, as well as data security and confidentiality are the most important issues in using these three digital technologies.
References
Abubakar, A. ., Bass, J. M., & Allison, I. (2014). Cloud Computing Adoption Issues for Sub?Saharan African SMEs. The Electronic Journal of Information Systems in Developing Countries, 62(1), 1–17.
Adjei, J. K., Adams, S., & Mamattah, L. (2021). Technology in Society Cloud computing adoption in Ghana?; accounting for institutional factors. Technology in Society, 65(April), 101583. https://doi.org/10.1016/j.techsoc.2021.101583
Agostino, D., Saliterer, I., & Steccolini, I. (2021). Digitalization, accounting and accountability: A literature review and reflections on future research in public services. Financial Accountability &Management, 38, 152–176. https://doi.org/10.1111/faam.12301
Aleem, A., & Sprott, C. R. (2013). Let me in the cloud: analysis of the benefit and risk assessment of cloud platform. Journal of Financial Crime, 20(1), 6–24.
Andreassen, R. I. (2020). Digital technology and changing roles: a management accountant’s dream or nightmare? Journal of Management Control, 31(3), 209–238. https://doi.org/10.1007/s00187-020-00303-2
Aydin, H. (2021). A Study of Cloud Computing Adoption in Universities as a Guideline to Cloud Migration. SAGE Open, 11(3), 1–14. https://doi.org/10.1177/21582440211030280
Bons, E., & Bednárová, M. (2019). Blockchain and its implications for accounting and auditing implications. Meditari Accountancy Research, 27(5), 725–740. https://doi.org/10.1108/MEDAR-11-2018-0406
Cai, Y., & Zhu, D. (2016). Fraud detections for online businesses?: a perspective from blockchain technology. Financial Innovation, 2(20), 1–10. https://doi.org/10.1186/s40854-016-0039-4
Castka, P., Searcy, C., & Mohr, J. (2020). Technology-enhanced auditing?: Improving veracity and timeliness in social and environmental audits of supply chains. Journal of Cleaner Production, 258(April 2013), 120773. https://doi.org/10.1016/j.jclepro.2020.120773
Cegielski, C. G., Jones-farmer, L. A., Wu, Y., Hazen, B. T., Cegielski, C. G., Jones-farmer, L. A., Wu, Y., & Hazen, B. T. (2012). Adoption of cloud computing technologies in supply chains: An organizational information processing theory approach. The International Journal of Logistics Management, 23(2), 184–211. https://doi.org/10.1108/09574091211265350
Chang, Y., Hu, P.-Y., Huang, S.-H., & Chen, J. (2019). Determinants of switching intention to cloud computing in large enterprises. Data Technologies and Applications, 54(1), 16–33. https://doi.org/10.1108/DTA-12-2018-0104
Cockcroft, S. (2018). Big Data Opportunities for Accounting and Finance Practice and Research. Australasian Accounting Review, 1–11. https://doi.org/10.1111/auar.12218
Frey, C. B., & Osborne, M. A. (2017). Technological Forecasting & Social Change The future of employment?: How susceptible are jobs to computerisation?? ?. Technological Forecasting & Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019
Gepp, A., Linnenluecke, M. K., Neill, T. J. O., & Smith, T. (2018). Big data techniques in auditing research and practice?: Current trends and future opportunities. Journal of Accounting Literature, 40(May 2017), 102–115. https://doi.org/10.1016/j.acclit.2017.05.003
Guo, Y., & Liang, C. (2016). Blockchain application and outlook in the banking industry. Financial Innovation, 2(24), 1–12. https://doi.org/10.1186/s40854-016-0034-9
Hasan, M., Popp, J., & Oláh, J. (2020). Current landscape and influence of big data on finance. Journal of Big Data. https://doi.org/10.1186/s40537-020-00291-z
Joon, Y., Kim, K., & Lee, S. (2017). The rise of technological unemployment and its implications on the future macroeconomic landscape. Futures, 87, 1–9. https://doi.org/10.1016/j.futures.2017.01.003
Jun, M. (2018). Blockchain government - a next form of infrastructure for the twenty-first century. Journal of Open Innovation: Technology, Market, and Complexity, 4(7), 1–12. https://doi.org/10.1186/s40852-018-0086-3
Kumar, D., Samalia, H. V., & Verma, P. (2017). Exploring suitability of cloud computing for small and medium- sized enterprises in India. Journal of Small Business and Enterprise Development, 24(4), 814–832. https://doi.org/10.1108/JSBED-01-2017-0002
Lardo, A., Corsi, K., Varma, A., & Mancini, D. (2022). Exploring blockchain in the accounting domain: a bibliometric analysis. Accounting, Auditing & Accountability Journal, 35(9), 204–233. https://doi.org/10.1108/AAAJ-10-2020-4995
Mancini, D., Lamboglia, R., Castellano, N. G., & Corsi, K. (2017). Trends of digital innovation applied to accounting information and management control systems. Lecture Notes in Information Systems and Organisation, 20, 1–19. https://doi.org/10.1007/978-3-319-49538-5_1
Nambisan, S., Wright, M., & Feldman, M. (2019). The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes. Research Policy, 48(8), 103773. https://doi.org/10.1016/j.respol.2019.03.018
Nissim, D. (2022). Big data , accounting information , and valuation. The Journal of Finance and Data Science, 8, 69–85. https://doi.org/10.1016/j.jfds.2022.04.003
Nobanee, H., Dilshad, M. N., Dhanhani, M. Al, Neyadi, M. Al, Qubaisi, S. Al, & Shamsi, S. Al. (2021). Big Data Applications the Banking Sector?: A Bibliometric Analysis Approach. SAGE Open, 11(4), 1–18. https://doi.org/10.1177/21582440211067234
Okai, S., Uddin, M., Arshad, A., & Alsaqour, R. (2014). Cloud Computing Adoption Model for Universities to Increase ICT Proficiency. SAGE Open, 4(3), 1–10. https://doi.org/10.1177/2158244014546461
Rafiq, F., Awan, M. J., Yasin, A., Nobanee, H., Zain, A. M., & Bahaj, S. A. (2022). Privacy Prevention of Big Data Applications: A Systematic Literature Review. SAGE Open, 12(2), 1–22. https://doi.org/10.1177/21582440221096445
Ramchand, K., Baruwal Chhetri, M., & Kowalczyk, R. (2021). Enterprise adoption of cloud computing with application portfolio profiling and application portfolio assessment. Journal of Cloud Computing, 10(1), 1–18. https://doi.org/10.1186/s13677-020-00210-w
Rezaee, Z., & Wang, J. (2018). Relevance of big data to forensic accounting practice and education. Managerial Auditing Journal, 34(3), 268–288. https://doi.org/10.1108/MAJ-08-2017-1633
Sastararuji, D., Hoonsopon, D., Pitchayadol, P., & Chiwamit, P. (2022). Cloud accounting adoption in Thai SMEs amid the COVID ? 19 pandemic?: an explanatory case study. Journal of Innovation and Entrepreneurship. https://doi.org/10.1186/s13731-022-00234-3
Schmitz, J., & Leoni, G. (2019). Accounting and Auditing at the Time of Blockchain Technology: A Research Agenda. Australian Accounting Review, 1–12. https://doi.org/10.1111/auar.12286
Secinaro, S., & Mas, F. D. (2022). Blockchain in the accounting , auditing and accountability fields?: a bibliometric and coding analysis. Accounting, Auditing & Accountability Journal, 35(9), 168–203. https://doi.org/10.1108/AAAJ-10-2020-4987
Shabbir, M. Q., Babar, S., & Gardezi, W. (2020). Application of big data analytics and organizational performance?: the mediating role of knowledge management practices. Journal of Big Data. https://doi.org/10.1186/s40537-020-00317-6
Shetty, A., Shetty, A. D., Pai, R. Y., Rao, R. R., Bhandary, R., Shetty, J., Nayak, S., Dinesh, T. K., & Dsouza, K. J. (2022). Block Chain Application in Insurance Services?: A Systematic Review of the Evidence. SAGE Open, 12(1), 1–15. https://doi.org/10.1177/21582440221079877
Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007
Ting, W., & Liu, Y. (2020). Design and implementation of intelligent accounting data analysis platform based on industrial cloud computing. EURASIP Journal on Wireless Communications and Networking, 28, 1–8.
Torre, M. La, Botes, V. L., Dumay, J., Rea, M. A., Odendaal, E., Torre, M. La, Botes, V. L., Dumay, J., Rea, M. A., Odendaal, E., & Torre, M. La. (2018). The fall and rise of intellectual capital accounting new prospects from the Big Data revolution. Meditari Accountancy Research, 26(3), 381–399. https://doi.org/10.1108/MEDAR-05-2018-0344
Walterbusch, M., Martens, B., & Teuteberg, F. (2013). Evaluating cloud computing services from a total cost of ownership perspective. Management Research Review, 36(6), 613–638. https://doi.org/10.1108/01409171311325769
Xu, M., Chen, X., & Kou, G. (2019). A systematic review of blockchain. Financial Innovation, 5(27), 1–14.
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