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International Journal of Frontiers in Sociology, 2023, 5(7); doi: 10.25236/IJFS.2023.050723.

Research on Financial Digitization and Information Quality Improvement

Author(s)

Baifang Liu, Chenxi Zhou, Yajing Ji

Corresponding Author:
Baifang Liu
Affiliation(s)

School of Business, Beijing Language and Culture University, Beijing, China

Abstract

The traditional financial bookkeeping method needs to rely on a centralized bookkeeping system, which has the risk of single point of failure and data tampering. By adopting distributed accounting technology, all participants can have identical ledgers, and any party’s accounting behavior can be quickly confirmed and verified by other nodes, greatly improving the accuracy and reliability of financial information. Therefore, this article studied distributed accounting to assist in financial digitization and information quality improvement. This article mainly used system design and data comparison to analyze the capabilities of distributed accounting systems and compare the improvement of financial information quality. Experimental data showed that in a distributed accounting system, the accuracy of financial data is over 80%, and the recall rate is over 90%. Therefore, distributed accounting technology has great potential for development, providing new standard models for financial management, improving financial digitization and information quality, and ultimately achieving automation and intelligence in finance.

Keywords

Distributed Accounting, Financial Digitization, Information Quality, Improvement Methods

Cite This Paper

Baifang Liu, Chenxi Zhou, Yajing Ji. Research on Financial Digitization and Information Quality Improvement. International Journal of Frontiers in Sociology (2023), Vol. 5, Issue 7: 144-151. https://doi.org/10.25236/IJFS.2023.050723.

References

[1] Niranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, Daniel L. Rubin: Accounting for data variability in multi-institutional distributed deep learning for medical imaging. J. Am. Medical Informatics Assoc. 27(5): 700-708 (2020) 

[2] Daniel E. O’Leary: Some issues in blockchain for accounting and the supply chain, with an application of distributed databases to virtual organizations. Intell. Syst. Account. Finance Manag. 26(3): 137-149 (2019) 

[3] Roberto Casado-Vara, Juan M. Corchado: Distributed e-health wide-world accounting ledger via blockchain. J. Intell. Fuzzy Syst. 36(3): 2381-2386 (2019)

[4] Dnyaneshwar Ghode, Vinod Yadav, Rakesh Jain, Gunjan Soni: Exploring the integration of blockchain technology into supply chain: challenges and performance. Bus. Process. Manag. J. 29(1): 223-239 (2023)

[5] Kwame Owusu Kwateng, Christopher Amanor, Francis Kamewor Tetteh: Enterprise risk management and information technology security in the financial sector. Inf. Comput. Secur. 30(3): 422-451 (2022) 

[6] Cansu Tayaksi, Erhan Ada, Yigit Kazançoglu, Muhittin Sagnak: The financial impacts of information systems security breaches on publicly traded companies: reactions of different sectors. J. Enterp. Inf. Manag. 35(2): 650-668 (2022)

[7] Rukma Ramachandran, Vimal Babu, Vijaya Prabhagar Murugesan: The role of blockchain technology in the process of decision-making in human resource management: a review and future research agenda. Bus. Process. Manag. J. 29(1): 116-139 (2023)

[8] Komal Rauniyar, Xiaobo Wu, Shivam Gupta, Sachin Modgil, Ana Beatriz Lopes de Sousa Jabbour: Risk management of supply chains in the digital transformation era: contribution and challenges of blockchain technology. Ind. Manag. Data Syst. 123(1): 253-277 (2023)

[9] Israr Ahmad, Saima Abdullah, Adeel Ahmed: IoT-fog-based healthcare 4.0 system using blockchain technology. J. Supercomput. 79(4): 3999-4020 (2023)

[10] S. Anirudh, R. Shaan Sundar, Sannasi Ganapathy: A New Cryptosystem for Secured Data Communications in Plagiarism Checking Process Using Blockchain Technology. Wirel. Pers. Commun. 128(3): 2113-2130 (2023)

[11] Serhan Hamal, Özlem Senvar: Comparing performances and effectiveness of machine learning classifiers in detecting financial accounting fraud for Turkish SMEs. Int. J. Comput. Intell. Syst. 14(1): 769-782 (2021) 

[12] Petros Kalantonis, Andreas Errikos Delegkos, Emmanouela Sotirchou, Aristidis Papagrigoriou: Modern business development and financial reporting: exploring the effect of corporate governance on the value relevance of accounting information - evidence from the Greek listed firms. Oper. Res. 22(3): 2879-2897 (2022) 

[13] Sajon Dhar, Mohammad Ashraful Ferdous Chowdhury: Impact of Environmental Accounting Reporting Practices on Financial Performance: Evidence From Banking Sector of Bangladesh. Int. J. Asian Bus. Inf. Manag. 12(1): 24-42 (2021) 

[14] Darren Bernard, Weili Ge, Dawn Matsumoto, Sara Toynbee: Implied Tradeoffs of Chief Financial Officer Accounting Expertise: Evidence from Firm-Manager Matching. Manag. Sci. 67(9): 5776-5799 (2021)

[15] Renata Paola Dameri, Roberto Garelli, Marina Resta: Neural Networks in Accounting: Clustering Firm Performance Using Financial Reporting Data. J. Inf. Syst. 34(2): 149-166 (2020)   

[16] Diane J. Janvrin, Maureen Francis Mascha, Melvin A. Lamboy-Ruiz: SOX 404(b) Audits: Evidence from Auditing the Financial Close Process of the Accounting System. J. Inf. Syst. 34(3): 77-103 (2020)

[17] Idria Maita, Saide Saide, Yelia Gusti Putri, Megawati Megawati, Medyantiwi Rahmawita Munzir: Information system and behavioural intention: evaluating the user behaviour of financial information system in the developing country of Indonesia. Technol. Anal. Strateg. Manag. 34(5): 594-607 (2022) 

[18] Gilles Jacobs, Véronique Hoste: SENTiVENT: enabling supervised information extraction of company-specific events in economic and financial news. Lang. Resour. Evaluation 56(1): 225-257 (2022) 

[19] Domenico Santoro, Luca Grilli: Generative Adversarial Network to evaluate quantity of information in financial markets. Neural Comput. Appl. 34(20): 17473-17490 (2022) 

[20] Lv, Z., Wang, N., Ma, X., Sun, Y., Meng, Y., & Tian, Y.. Evaluation Standards of Intelligent Technology based on Financial Alternative Data. Journal of Innovation & Knowledge, 7(4), 100-229. (2022)

[21] Ahn, J., & Sura, S. The Effect of Information Quality on Social Networking Site (SNS)-Based Commerce: From the Perspective of Malaysian SNS Users. Journal of Organizational and End User Computing (JOEUC), 32(1), 1-18. (2020)