Author(s)

Yan Xu, ChaoMin Gao^*

Affiliation(s)

School of Business Administration, Baise University, Baise 533000, Guangxi, China.

Corresponding Author

ChaoMin Gao

ABSTRACT

This study aims to explore the application of big data technology in the auditing of public institutions and its innovative impact on audit models, in order to improve the efficiency and accuracy of audit work. By systematically reviewing relevant literature from both domestic and international sources and selecting typical audit cases from public institutions, the study adopts methods such as literature analysis, case study, and comparative analysis to construct a theoretical framework for a big data-driven audit model for public institutions. The results indicate that big data technology significantly enhances the comprehensiveness and real-time nature of audits in areas such as data collection, analysis and mining, risk identification, and early warning. It optimizes the allocation of audit resources, and its feasibility and effectiveness have been validated through real-world cases. In addition, the study finds that the implementation of the big data audit model faces challenges such as data security, technical complexity, and organizational cultural adaptation. Finally, it proposes corresponding countermeasures, including strengthening data security management, improving auditors' technical skills, and promoting organizational cultural change to ensure the smooth implementation of the big data audit model. The conclusions of the study provide theoretical support and practical guidance for the intelligent and efficient audit models of public institutions, with significant theoretical and practical value.

KEYWORDS

Big data; Public institutions; Audit model; Risk-based audit; Continuous audit; Data analysis

CITE THIS PAPER

Yan Xu, ChaoMin Gao. Innovations and practices of audit models for public institutions in the context of big data. Innovation and Technology Studies. 2024, 1(1): 1-5. DOI: 10.61784/its3002.

REFERENCES

[1] Yao, G, Xia, Z. A Study on the Practice of Government Big Data Governance System—Based on a Comparative Analysis of Shanghai, Beijing, and Shenzhen. Information and Documentation Services, 2020, 41(1): 94-101.

[2] Liu, Y. Exploring Refined Management of Financial Accounting Work in Public Institutions. Modern Economic Management, 2023, 4(4): 24-26.

[3] Chen, X, Zeng, X, Wang, W, et al. Big Data-Based Cybersecurity and Intelligence Analysis. Engineering Science and Technology, 2023, 49(3): 1-12.

[4] Qiao, W, Jin, D, Wang, H, et al. Construction of a Big Data Intelligent Early Warning Platform for Mine Water Disasters Based on Cloud Services. Journal of China Coal Society, 2020, 45(7): 2619-2627.

[5] Cheng, X, Liu, S, Zhang, R. Reflections on the New System of Big Data Analysis and Processing Technologies. Bulletin of the Chinese Academy of Sciences, 2022, 37(1): 60-67.

[6] Ning, M, Zhu, L, Ning, M. A Study on the Academic Map of Internal Control Research Oriented by Risk Management—A Visualization Analysis from an International Perspective. Modern Management, 2023, 13(10): 1301-1310.

[7] Luo, W. Proposed Analytical Framework to Assess Audit Risks. Open Journal of Accounting, 2021, 10(2): 42-55.

[8] Gepp, A, Linnenluecke, M K, O’Neill, T J, et al. Big Data Techniques in Auditing Research and Practice: Current Trends and Future Opportunities. Journal of Accounting Literature, 2018, 40(1): 102-115.

[9] Jin, M, Wang, Y, Zeng, Y. Application of Data Mining Technology in Financial Risk Analysis. Wireless Personal Communications, 2018, 102, 3699-3713.

[10] Hegde, J, Rokseth, B. Applications of Machine Learning Methods for Engineering Risk Assessment—A Review. Safety Science, 2020, 122, 104492.

[11] Chang, C J, Luo, Y. Data Visualization and Cognitive Biases in Audits. Managerial Auditing Journal, 2021, 36(1): 1-16.

[12] Li, J, Leng, H. Clinical Observation on the Effectiveness of Respiratory Muscle Feedback Training on Respiratory and Swallowing Dysfunction in Stroke Patients with Hemiplegia. Journal of Youjiang Medical University for Nationalities, 2018, (06): 586-589.

[13] Kahyaoglu, S B, Sarikaya, R, Topal, B. Continuous Auditing as a Strategic Tool in Public Sector Internal Audit: The Turkish Case. Selcuk üniversitesi Sosyal Bilimler Meslek Yüksekokulu Dergisi, 2020, 23(1): 208-225.

[14] Surbakti, F P S, Wang, W, Indulska, M, et al. Factors Influencing Effective Use of Big Data: A Research Framework. Information & Management, 2020, 57(1): 103146.

[15] Cui, X, Yang, M. The Effect of Rosenthal Effect-Based Nursing Intervention on the Stress Response and Emotional State of Children with Scoliosis. Journal of Youjiang Medical University for Nationalities, 2019, (06): 713-715.

[16] Rao, Z, Chen, J, Zhao, L, et al. Comparative Study of Ultrasound-Guided Microwave Ablation and Laparoscopic Excision for Benign Thyroid Nodules. Journal of Youjiang Medical University for Nationalities, 2018, (06): 583-585.

[17] Pang, X, Liu, F, Li, L, et al. Preliminary Exploration of Teaching Reform of "General Medicine Introduction" under the Concept of "Curriculum Ideological and Political Education". Journal of Youjiang Medical University for Nationalities, 2020, (06): 806-809.

[18] Wu, P, Lan, Z, Huang, W, et al. Exploration of the Application of MOOC-Based Blended Learning in Medical Undergraduates’ Internships. Journal of Youjiang Medical University for Nationalities, 2020, (01): 119-122.