Disruptive Technologies and Financial Reporting Quality of the Public Sector in Nigeria
DOI:
https://doi.org/10.56532/mjbem.v4i2.129Keywords:
artificial intelligence, big data analytics, cloud computing, disruptive technologies, faithful representationAbstract
In recent times, the poor quality of financial reporting has given rise to inaccuracy, delay, non-transparency, poor accountability, and corruption. This study, therefore, examined the effect of disruptive technologies on the financial reporting quality of public firms in Nigeria. This study employed a survey research design. The population of this study comprised 43179 respondents from public firms in Nigeria. The sample size was 381, using a proportionate sampling technique. Data collected were analysed using both descriptive statistics and partial least squares-structured equation modelling. The study’s findings showed that cloud computing and artificial intelligence have an insignificant positive effect on financial reporting quality. Big data analytics has a considerably favourable effect on financial reporting quality. By focusing on BDA while optimising AI and Cloud Computing adoption, the study concludes that firms can better leverage disruptive technologies to enhance financial reporting quality.
References
Abakasanga, N., Ofurum, C. O., & Ogbonna, G. N. (2019). Financial reporting quality and financial performance of quoted banks in Nigeria. Research Journal of Finance and Accounting, 10(9), 59-79. Retrieved from: 234632833-libre.pdf
Abata, M, & Suara, O (2022). The effects of IPSAS on financial reporting quality of local government in Lagos State: Fuoye Journal of Accounting and Management Science (2)1-18. Retrieved from: https://www.fjam.fuoye.edu.ng/index.php/fjam/article/view/98.
Abd Al Ghaffar, H. T. A. N. (2024). Government cloud computing and national security. Review of Economics and Political Science, 9(2), 116-133. doi: https://doi.org/10.1108/REPS-01-2024-0003
Adams, M., & Haffar, M. (2020). "The Role of Faithful Representation in Enhancing Stakeholder Trust." International Journal of Accounting, 55(3), 295-310. Doi: https://doi.org/10.1016/j.intacc.2020.100478
Adeyeri, T. B. (2024). Automating Accounting Processes: How AI is Streamlining Financial Reporting. Journal of Artificial Intelligence Research, 4(1), 72-90. Retrieved from: https://www.thesciencebrigade.org/JAIR/article/view/166.
Ahmad, A. Y. A. B., Abusaimeh, H., Rababah, A., Alqsass, M., Al-Olima, N., & Hamdan, M. (2024). Assessment of the effects of advances in accounting technologies on quality financial reports in the Jordanian public sector. Uncertain Supply Chain Management, 12(1), 133-142. Doi: https://doi.org/10.5267/j.uscm.2023.10.002.
Akai N.D., Ibok N., and Akinninyi P.E. (2023) Cloud Accounting and the Quality of Financial Reports of Selected Banks in Nigeria, European Journal of Accounting, Auditing and Finance Research,11(9), pp.18-4. Retrieved from: https://www.researchgate.net/profile/Patrick-Akinninyi/publication/373827759_Cloud_Accounting_and_the_Quality_of_Financial_Reports_of_Selected_Banks_in_Nigeria/links/668e2cefc1cf0d77ffc8dd24/Cloud-Accounting-and-the-Quality-of-Financial-Reports-of-Selected-Banks-in-Nigeria.pdf.
Akinnuwesi, B. A., Uzoka, F. M. E., Fashoto, S. G., Mbunge, E., Odumabo, A., Amusa, O. O., ... & Owolabi, O. (2022). A modified UTAUT model for the acceptance and use of digital technology for tackling COVID-19. Sustainable Operations and Computers, 3, 118-135. doi: https://doi.org/10.1016/j.susoc.2022.01.002.
Almanaeseh, R., Marei, A., Zumot, R., Alim, S., Alharasis, E., Alkhodary, D., & Lutfi, A. (2024). The effect of cloud computing on the quality of financial statements: The mediating role of the internal control system. International Journal of Data and Network Science, 8(4), 2627-2638. doi: https://doi.org/10.5267/j.ijdns.2024.4.003.
Anantharaman, D., Rozario, A., & Zhang, C. A. (2023). Artificial Intelligence and Financial Reporting Quality. Available at SSRN 4625279. doi: https://doi.org/10.2139/ssrn.4625279
Annual Report and Audited Accounts. (2018). Fiscal Responsibility Commission, Nigeria. Retrieved from: https://fiscalresponsibility.ng/wp-content/uploads/2021/05/FRC-2018-ANNUAL-REPORT.pdf.
Antwi, B. O., Adelakun, B. O., & Eziefule, A. O. (2024). Transforming Financial Reporting with AI: Enhancing Accuracy and Timeliness. International Journal of Advanced Economics, 6(6), 205-223. Retrieved from: https://www.fepbl.com/index.php/ijae/article/view/1229.
Ayaz, A., & Yanartaş, M. (2020). An analysis of the unified theory of acceptance and use of technology theory (UTAUT): Acceptance of electronic document management system (EDMS). Computers in Human Behaviour Reports, 2, 100032. doi: https://doi.org/10.1016/j.chbr.2020.100032.
Bagozzi, R.P. (2007). "The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift". Journal of the Association for Information Systems. 8 (4): 244–254. doi: https://doi.org/10.17705/1jais.00122.
Bajunaied, K., Hussin, N., & Kamarudin, S. (2023). Behavioural intention to adopt FinTech services: An extension of the unified theory of acceptance and use of technology. Journal of Open Innovation: Technology, Market, and Complexity, 9(1), 100010. doi: https://doi.org/10.3390/joitmc9010010.
Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in human behaviour, 50, 418-430. doi: https://doi.org/10.1016/j.chb.2015.04.027.
Begkos, C., Antonopoulou, K., & Ronzani, M. (2024). To datafication and beyond: Digital transformation and accounting technologies in the healthcare sector. The British Accounting Review, 56(4), 101259. doi: https://doi.org/10.1016/j.bar.2024.101259.
Beredugo. S. B. (2021). International Public Sector Accounting Standards (IPSAS) Implementation and Financial Reporting: Issues and Challenges in South-East Nigeria. Journal of Accounting and Taxation, 1(1). 1-11. Retrieved from: https://academicjournals.org/journal/JAT.
Bharadiya, J. P. (2023). A comparative study of business intelligence and artificial intelligence with big data analytics. American Journal of Artificial Intelligence, 7(1), 24. Retrieved from: https://sciencepublishinggroup.com/journal/542/archive/5420701.
Bongomin, O., Gilibrays Ocen, G., Oyondi Nganyi, E., Musinguzi, A., & Omara, T. (2020). Exponential disruptive technologies and the required skills of Industry 4.0. Journal of Engineering, 2020(1), 4280156. doi: https://doi.org/10.1155/2020/4280156.
Brzozowska-Rup, K., Nowakowska, M., & Zdradzisz, M. (2024). Cloud computing in the Polish public administration: current state and development prospects. Technological Forecasting and Social Change, 205, 123500. doi: https://doi.org/10.1016/j.techfore.2024.123500.
Chowdhury, E., Stasi, A., & Pellegrino, A. (2023). Blockchain technology in financial accounting: emerging regulatory issues. Review of Financial Economics, 21, 862-868. doi: https://doi.org/10.1002/rfe.1332.
Dash, B., Sharma, P., & Swayamsiddha, S. (2023). Organisational digital transformations and the importance of assessing theoretical frameworks such as TAM, TTF, and UTAUT: A review. International Journal of Advanced Computer Science and Applications, 14(2). doi: https://doi.org/10.14569/IJACSA.2023.0140299.
Dunmade, A. O., & Hamzat, S. A. (2022). Relevance of Big Data Analytics in Nigerian Academic Libraries: University of Ilorin Library Experience. Mousaion, 40(1). Retrieved from: https://journals.co.za/doi/abs/10.25159/2663-659X/8361.
Eleimat, D., Ebbini, M., Aryan, L. & Al-Hawary, S. (2023). The effect of big data on financial reporting quality.International Journal of Data and Network Science, 7(4), 1775-1780. doi: https://doi.org/10.5267/j.ijdns.2023.7.002.
Elmegaard, J. (2022). The Role of Artificial Intelligence in Accounting Perspectives on Empirical Research. Available at SSRN 4191419. doi: https://doi.org/10.2139/ssrn.4191419.
Estep, C., Griffith, E. E., & MacKenzie, N. L. (2023). How do financial executives respond to the use of artificial intelligence in financial reporting and auditing? Review of Accounting Studies, 1-34. doi: https://doi.org/10.1007/s11142-023-09733-9.
Falana, G. A., Igbekoyi, O. E., & Oluwagbade, O. I. (2025). Firm Attributes and Financial Reporting Quality of Listed Multinational Firms in Nigeria. Universal Journal of Accounting and Finance 13(1): 24-38. Retrieved from: https://www.researchgate.net/profile/Falana-Gbenga/publication/387811952_Firm_Attributes_and_Financial_Reporting_Quality_of_Listed_Multinational_Firms_in_Nigeria/links/677e37ea79d6d00f5f5cf61b/Firm-Attributes-and-Financial-Reporting-Quality-of-Listed-Multinational-Firms-in-Nigeria.pdf.
Gao, J., & Sarwar, Z. (2022). How do firms create business value and dynamic capabilities by leveraging big data analytics management capabilities? Information Technology and Management, 1-22. doi: https://doi.org/10.1007/s10799-022-00371-5.
Garg, A. (2021). "Faithful Representation in Financial Reporting: A Critical Review." Journal of Accounting Research, 59(2), 112-135. doi: https://doi.org/10.1111/1475-679X.12355.
Hasan, Md.M.; Popp, J.; Oláh, J. (2020). Current landscape and influence of big (w) data on finance, J Big Dat, vol. 7, no. 1, p. 21, 2020. Doi: https://doi.org/10.1186/s40537-020-00295-2.
Ibrahim, I. (2019, August). Nigeria Cloud Computing Policy. Retrieved from: https://nitda.gov.ng/wp-content/uploads/2020/11/NCCPolicy_New1.pdf.
Islam, R., Patamsetti, V., Gadhi, A., Gondu, R. M., Bandaru, C. M., Kesani, S. C., & Abiona, O. (2023). The future of cloud computing: benefits and challenges. International Journal of Communications, Network and System Sciences, 16(4), 53-65. doi: https://doi.org/10.4236/ijcns.2023.164004
Kanaparthi, V. (2024, January). Exploring the Impact of Blockchain, AI, and ML on Financial Accounting Efficiency and Transformation. In International Conference on Multi-Strategy Learning Environment (pp. 353-370). Doi: https://doi.org/10.1007/978-981-99-7383-6_29.
Kmaleh, A. I. M. (2023). The Impact of Using Cloud Computing on the Quality of Accounting Information and Its Reflection Upon the Development of the World Standards of Financial Reports in Jordanian Corporations. International Journal of Professional Business Review, 8(9). Article e03771. doi: https://doi.org/10.26668/businessreview/2023.v8i9.3771
Kogan, A. (2022). "Challenges in Achieving Faithful Representation Amidst Evolving Accounting Standards." Accounting Horizons, 36(1), 45-62. doi: https://doi.org/10.2308/HORIZONS-2021-025.
Lin, T., & Zhan, W. (2023). "Digital Transformation and Faithful Representation in Financial Reporting." Accounting and Finance Research, 12(1), 80-95. Retrieved from: https://sciresjournals.com/ijstra/sites/default/files/IJSTRA-2024-0061.pdf.
Local government audit outcomes: AGSA briefing | PMG. (2021/22). Retrieved from: https://pmg.org.za.
Merhi, M. I., & Bregu, K. (2020). Effective and efficient usage of big data analytics in the public sector. Transforming Government: People, Process and Policy, 14(4), 605-622. doi: https://doi.org/10.1108/TG-01-2020-0005.
Mikalef, P., van de Wetering, R., & Krogstie, J. (2021). Building dynamic capabilities by leveraging big data analytics: The role of organisational inertia. Information & Management, 58(6), 103412. doi: https://doi.org/10.1016/j.im.2021.103412.
Musa, A. (2024). The effect of cloud computing on accounting information quality: Empirical study in Saudi Arabia. International Journal of Data and Network Science, 8(3), 1369-1378. doi: https://doi.org/10.5267/j.ijdns.2024.2.004.
Odonkor, B., Kaggwa, S., Uwaoma, P. U., Hassan, A. O., & Farayola, O. A. (2024). The impact of AI on accounting practices: A review: Exploring how artificial intelligence is transforming traditional accounting methods and financial reporting. World Journal of Advanced Research and Reviews, 21(1), 172-188. Retrieved from: https://pdfs.semanticscholar.org/bf2b/e1da62339eb701d6a5b9cbecc20b74c11d8f.pdf.
Oke, A.E., Kineber, A.F., Al-Bukhari, I., Famakin, I. and Kingsley, C. (2023), "Exploring the benefits of cloud computing for sustainable construction in Nigeria", Journal of Engineering, Design and Technology,21(4), pp. 973-990. doi: https://doi.org/10.1108/JEDT-04-2021-0189
Pajković, I., Botica Redmayne, N., & Vašiček, V. (2023). The use and perceived usefulness of public sector financial statements by politicians–evidence from Croatia. Journal of public budgeting, accounting & financial management, 35(6), 180-198. doi: https://doi.org/10.1108/JPBAFM-09-2022-0130.
Pakhnenko, O., & Kuan, Z. (2023). Ethics of Digital Innovation in Public Administration. Business Ethics and Leadership, 7(1), 113-121. doi: https://doi.org/10.21272/bel.7(1).113-121.2023.
Păvăloaia, V. D., & Necula, S. C. (2023). Artificial intelligence as a disruptive technology—a systematic literature review. Electronics, 12(5), 1102. doi: https://doi.org/10.3390/electronics12051102.
PEFA Secretariat. (2020). Public Financial Management Performance Measurement Framework. Retrieved from PEFA. Retrieved from: https://www.pefa.org/resources/pefa-framework.
Safkaur, O., Afiah, N. N., Poulus, S., & Dahlan, M. (2019). The effect of quality financial reporting on good governance. International Journal of Economics and Financial Issues, 9(3), 277. doi: https://doi.org/10.32479/ijefi.8215.
Saleh, I., Marei, Y., Ayoush, M. and Abu Afifa, M.M. (2023), "Big Data analytics and financial reporting quality: qualitative evidence from Canada", Journal of Financial Reporting and Accounting, Vol. 21(1), pp. 83-104. doi: https://doi.org/10.1108/JFRA-12-2021-0489
Shahaab, A., Khan, I. A., Maude, R., Hewage, C., & Wang, Y. (2023). Public service operational efficiency and blockchain–A case study of Companies House, UK. Government Information Quarterly, 40(1), 101759. doi: https://doi.org/10.1016/j.giq.2022.101759.
Shakatreh, M., Orabi, M. M. A., & Al Abbadi, A. F. A. (2023). Impact of cloud computing on the quality of financial reports with Jordanian commercial banks. Montenegrin Journal of Economics, 19(2), 167-178. doi: https://doi.org/10.14254/1800-5845/2023.19-2.11.
Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011). e-Government Adoption Model (GAM): Differing service maturity levels. Government Information Quarterly, 28(1), 17-35. doi: https://doi.org/10.1016/j.giq.2010.06.008.
Smith, T. (2022, April 2). Disruptive Technology: Definition, Example, and How to Invest. Investopedia. Retrieved from: https://www.investopedia.com/terms/d/disruptive-technology.asp
Thayyib, P. V., Mamilla, R., Khan, M., Fatima, H., Asim, M., Anwar, I., ... & Khan, M. A. (2023). State-of-the-art artificial intelligence and big data analytics reviews in five different domains: a bibliometric summary. Sustainability, 15(5), 4026. doi: https://doi.org/10.3390/su15054026.
UNESCO, (2020). UNESCO: First version of a draft text of a recommendation on the ethics of artificial intelligence. Retrieved from: https://unesdoc.unesco.org/ark:/48223/pf0000373434.
Venkatesh, Viswanath; Morris, Michael G.; Davis, Gordon B.; Davis, Fred D. (2003). "User Acceptance of Information Technology: Toward a Unified View". MIS Quarterly. 27 (3): 425–478. doi: https://doi.org/10.2307/30036540.
VenkateswaraRao, M., Vellela, S., Reddy, V., Vullam, N., Sk, K. B., & Roja, D. (2023, March). Credit Investigation and Comprehensive Risk Management System based on Big Data Analytics in Commercial Banking. In 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 2387-2391). IEEE. doi: https://doi.org/10.1109/ICACCS56542.2023.10085298
Wang, C., Teo, T. S., & Janssen, M. (2021). Public and private value creation using artificial intelligence: An empirical study of AI voice robot users in the Chinese public sector. International Journal of Information Management, 61, 102401. doi: https://doi.org/10.1016/j.ijinfomgt.2021.102401
Winoto, A., Meiryani, M., & Reyhan, R. (2023). The Impact of Big Data on Financial Reporting. Journal of Applied Finance and Accounting, 10(1). Retrieved from: https://journal.binus.ac.id/index.php/JAFA/article/view/9004.
World Bank. (2021). Public Financial Management Reform: A Guide for Practitioners. Retrieved from https://openknowledge.worldbank.org/handle/10986/36215.
World Bank. (2023). *World Development Indicators: Government finance*. World Bank. https://data.worldbank.org/indicator/GC.TAX.TOTL.CD. Retrieved from: https://data.worldbank.org/indicator/GC.TAX.TOTL.CD
Zibaghafa, S., & Chukwu, G. (2024). Public Sector Accounting Standard Adoption and Quality of Financial Reporting in Higher Institutions in Rivers and Bayelsa States, Nigeria. European Journal of Accounting, Auditing and Finance Research, 12(3), 1-39. Retrieved from: researchgate.net/profile/Gospel-Chukwu/publication/378975711_Public_Sector_Accounting_Standard_Adoption_and_Quality_of_Financial_Reporting_in_Higher_Institutions_in_Rivers_and_Bayelsa_States_Nigeria/links/6727451777f274616d5a4da3/Public-Sector-Accounting-Standard-Adoption-and-Quality-of-Financial-Reporting-in-Higher-Institutions-in-Rivers-and-Bayelsa-States-Nigeria.pdf
Zuiderwijk, A., Chen, Y. C., & Salem, F. (2021). Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda. Government Information Quarterly, 38(3), 101577. doi: https://doi.org/10.1016/j.giq.2021.101577
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