| تعداد نشریات | 49 |
| تعداد شمارهها | 1,261 |
| تعداد مقالات | 10,847 |
| تعداد مشاهده مقاله | 22,203,688 |
| تعداد دریافت فایل اصل مقاله | 14,928,995 |
تاثیر پیشرفت فناوریهای حسابداری برکیفیت گزارشهای مالی در بخش دولتی ایران | ||
| حسابداری دولتی | ||
| مقاله 6، دوره 12، شماره 1 - شماره پیاپی 23، دی 1404، صفحه 129-148 اصل مقاله (477.84 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.30473/gaa.2026.74007.1799 | ||
| نویسندگان | ||
| سیدسامان هاشمیان؛ خدیجه خدابخشی پاریجان* | ||
| گروه حسابداری، واحد تهران غرب، دانشگاه آزاد اسلامی، تهران، ایران | ||
| چکیده | ||
| موضوع و هدف مقاله: با استفاده از نرمافزارها و سیستمهای پیشرفته حسابداری، امکان ثبت دقیقتر و بهموقع اطلاعات مالی فراهم میشود که منجر به افزایش شفافیت و کاهش اشتباهات انسانی میشود. هدف از این پژوهش بررسی تأثیر پیشرفت فناوریهای حسابداری بر کیفیت گزارشهای مالی در بخش دولتی ایران میباشد. این پژوهش بر اساس دستهبندی تحقیقات از نظر هدف یک پژوهش کاربردی محسوب میشود. روش پژوهش: پژوهش حاضر از نظر گردآوری دادهها جز پژوهشهای دارای رویکردی تاییدی میباشد که از یک طرح پایش توصیفی (از نوع همبستگی) استفاده کرده است. جامعة آماری شامل کلیة مدیران مالی با سابقه فعالیت بالای ده سال در وزارت امور اقتصاد و دارایی در دوره مــورد مطالعــه (پاییز ســال 1403) میباشد که با اعمال شروط مزبور تعـداد اعضـای جامعـة ایـن پژوهش 1000 نفر تعییـن شـده است که با استفاده از فرمول کوکران 384 نفر از اعضای جامعه، به عنوان نمونه انتخاب شدهاند. یافتههای پژوهش: بررسی همبستگی فناوری حسابداری مبتنی بر ابر و هوش مصنوعی با کیفیت گزارشهای مالی در بخش عمومی نشاندهندة رابطه مثبت و معناداری میباشد. مضافاً مقدار رگرسیون برابر 984/0 بیانگر اثر مثبت و قوی هوش مصنوعی و فناوری حسابداری مبتنی بر ابر بر کیفیت گزارشهای مالی در بخش عمومی است. نتیجهگیری، اصالت و افزوده آن به دانش: تدوین سیاستهای استفاده از هوش مصنوعی در فرآیند حسابداری عمومی توسط دولت، توجه مقامات دولتی و نهادهای نظارتی به سرمایهگذاری و ارتقاء سیستمهای حسابداری مبتنی بر ابر و هوش مصنوعی و آموزشها در زمینه استفاده از این فناوریها میتوانند موجب بهبود گزارشدهی مالی شوند. | ||
| کلیدواژهها | ||
| پیشرفت فناوریهای حسابداری؛ فناوری حسابداری مبتنی بر ابر؛ کیفیت گزارشگری مالی؛ هوش مصنوعی | ||
| عنوان مقاله [English] | ||
| The impact of accounting technology advancement on the quality of financial reports in the Iranian public sector | ||
| نویسندگان [English] | ||
| seyedsaman hashemian؛ khadijeh khodabakhshi parijan | ||
| Department of Accounting, WT.C., Islamic Azad University, Tehran, Iran | ||
| چکیده [English] | ||
| Subject and purpose: By using advanced accounting software and systems, financial information is recorded more accurately and timely, transparency is increased, and human errors are reduced. The purpose of the research is to examine the impact of advances in accounting technologies on the quality of financial reports in the Iranian public sector, and in terms of purpose, it is considered an applied research. Research method: In terms of data collection, the present study is one of the studies with a confirmatory approach that used a descriptive monitoring design (correlation type). The statistical population includes 1000 financial managers with more than ten years of experience in the Ministry of Economy and Finance during the study period (fall 1403), and 384 members of the community were selected as a sample using the Cochran formula. Research findings: Examining the correlation between cloud-based accounting technology and artificial intelligence with the quality of financial reports in the public sector shows a positive and significant relationship. In addition, the regression value of 0.984 indicates a strong and positive effect of artificial intelligence and cloud-based accounting technology on the quality of financial reports in the public sector. Conclusion, originality and its addition to knowledge: The formulation of policies for the use of artificial intelligence in the public accounting process by the government, the attention of government officials and regulatory bodies to investing in and upgrading cloud-based accounting systems and artificial intelligence, and training in the use of these technologies can improve financial reporting. | ||
| کلیدواژهها [English] | ||
| Advances in accounting technologies, artificial intelligence, cloud-based accounting technology, financial reporting quality | ||
| مراجع | ||
|
Ahmad, A. Y. A. B; Abusaimeh, H; Rababah, A; Alqsass, M; Al-Olima, N; & Hamdan, M. (2024). Assessment of effects in advances of accounting technologies on quality financial reports in Jordanian public sector. Uncertain Supply Chain Management, 12(1), 133-142.
Al-Amro, S. A. H. (2022). The Relationships among Accounting Competency, Business Management Efficiency, Financial Reporting Quality, and Firm Growth amid Disruptive Technology. Journal of Accounting and Economics, 73(1), 101496.
Alhazmi, A. H. J; Islam, S. M. N; & Prokofieva, M. (2025). The Impact of Artificial Intelligence Adoption on the Quality of Financial Reports on the Saudi Stock Exchange. International Journal of Financial Studies, 13(1), 21.
Beke, J. (2010). Review of international accounting information systems. Journal of Accounting and Taxation, 2(2), 025-030. DOI: https://doi.org/10.5897/JAT10.006.
Beshi, T.D; and Kaur, R. (2020). Public trust in local government: explaining the role of good governance practices. Public Organization Review, 20(2), 337–350.
Cheng, C; Ahmad, S.F; Irshad, M; Alsanie, G; Khan, Y; Ahmad, Y. A; Ahmad, B. & Aleemi, A.R. (2023). Impact of Green Process Innovation and Productivity on Sustainability: The Moderating Role of Environmental Awareness. Sustainability, 15(17), 12945.
Gupta, A.K; & Gaur, P. (2018). Impacts of Cloud Computing on Accounting: Aids, Challenges, and Future Growth. EPRA International Journal of Economic and Business Review, 6(3), 49–54.
Haji Hossein, Majid, 2024, Investigating the role of information technology in the digital transformation of the public sector, optimizing the provision of public services based on artificial intelligence. (In Persian)
Hatami Farsi, A; & Abdi Taleb Beigi, H. (2024), The effect of implementing transparency and accounting information systems on the quality of financial reports. The second national conference of applied research in modern management and accounting sciences, Qazvin, pp. 1-20. (In Persian).
Jayesh, G. S; Novaliendry, D; Gupta, S. K; Sharma, A. K; & Hazela, B. (2022). A Comprehensive Analysis of Technologies for Accounting and Finance in Manufacturing Firms. ECS Transactions, 107(1), 2715.
Johri, A. (2025). Impact of artificial intelligence on the performance and quality of accounting information systems and accuracy of financial data reporting. Accounting Forum, 1–25.
Kumar, S. (2019). Artificial intelligence reveals the effective tactics of top management institutes in India. Benchmarking: An International Journal, 26(7), 2188-2204, 2019.
Medina-Quintero, J. M; Mora, A; and Abrego, D. (2015) Enterprise technology in support of accounting information systems: an innovation and productivity approach. Journal of Information Systems Technology Management, 12(1), 29– 44. DOI:https://doi.org/10.4301/S1807-17752015000100002
Mohammadi, Ali, Mohammadzadeh Salteh, Heydar, Dianti Deylami, Zahra and Aghdam Mazra, Yaqoub. (2020). Presenting a proposed model for the quality of public sector financial reporting in Iran. Government Accounting, 6(2), 165-174.
(In Persian)
Naujokaitiene, J; Tereseviciene, M; & Zydziunaite, V. (2015). Organisational Support for Employee Engagement in Technology-Oriented Learning. SAGE Open, 5(4), 15-20.
Nguyen Phu, G; Hoang Thi, T. & Tran Nguyen Bich, H. The impact of cloud computing technology on cloud accounting adoption and financial management of businesses. Humanit Soc Sci Commun 12, 851 (2025).
Noorani, Hossein and Akhlaqi Yazdinejad, Esmaeil. (2023). Presenting a model for overcoming the challenges and bottlenecks of public sector accounting standards using the data-based theory. Government Accounting, 9(2), 151-168.
doi: 10.30473/gaa.2023.64803.1594. (In Persian)
Peng, Y; Ahmad, S.F; Ahmad, Y. A. Ahmad, B; Al Shaikh, M.S; Daoud, M.K. & Alhamdi, F.M.H. (2023). Riding the Waves of Artificial Intelligence in Advancing Accounting and Its Implications for Sustainable Development Goals. Sustainability, 15(19), 14165.
Persson, M. E; Radcliffe, V. S; & Stein, M. (2018). Elmer G Beamer and the American Institute of Certified Public Accountants: The pursuit of a cognitive standard for the accounting profession. Accounting History, 23(1–2), 71–92.
Pourramazan Lashkajani, R. (2023), Studying the effects of accounting conservatism on the quality of financial reporting, The third international conference on key researches in management, accounting, banking and economics, Mashhad, pp. 1-20. (In Persian).
Rabbani, M. R. (2024). Impact of digital advancements on accounting, auditing and reporting literature: insights, practice implications and future research directions. Journal of Accounting & Organizational Change.
Sonjaya, Y. (2024). Evolving Perspectives on Public Sector Accounting Practices. Advances in Applied Accounting Research, 2(2).
Spilnyk, I; Brukhanskyi, R; & Yaroshchuk, O. (2020, September). Accounting and financial reporting system in the digital economy. In 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) (pp. 581-584). IEEE.
Taipaleenmäki, J; & Ikäheimo, S. (2013). On the convergence of management accounting and financial accounting–the role of information technology in accounting change. International journal of accounting information systems, 14(4), 321-348.
Wang, C; Ahmad, S. F; Ayassrah, A. Y. B. A; Awwad, E. M; Irshad, M; Ali, Y. A. & Han, H. (2023). An empirical evaluation of the technology acceptance model for artificial intelligence in e-commerce. Heliyon, 9(8).
Warren, J. D; Jr; Moffitt, K. C; & Byrnes, P. (2015) How Big data will change accounting? Accounting Horizons, 29(2), 397–407.
Yousefi, R; & Zenoubi, A. (2024), The effect of accounting conservatism on the deviation of financial reports from Benford's rule in companies listed on the Tehran Stock Exchange, The 9th International and National Conference on Management, Accounting and Law Studies, Tehran, pp. 1-20.(In Persian)
| ||
|
آمار تعداد مشاهده مقاله: 125 تعداد دریافت فایل اصل مقاله: 3 |
||