Research on the Application of New Quality Productivity Perspective Empowering RPA and Artificial Intelligence in Budget Management
DOI: 10.23977/acccm.2025.070104 | Downloads: 24 | Views: 561
Author(s)
Haiying Luo 1
Affiliation(s)
1 School of Accounting, Zhanjiang University of Science and Technology, Zhanjiang, China
Corresponding Author
Haiying LuoABSTRACT
With the continuous advancement of digital transformation, RPA (Robotic Process Automation) and artificial intelligence (AI) are increasingly used in budget management. From the perspective of new quality productivity, this paper discusses the theoretical basis and practical application of RPA and artificial intelligence in budget management, focusing on analyzing how these technologies optimize the budget management process and improve the efficiency and accuracy of decision making through automation and intelligence. In the theoretical part, the paper first expounds the connotation and characteristics of the new quality productivity, then analyzes the challenges faced by the traditional budget management model, and finally discusses how the new quality productivity enables the transformation and innovation of budget management. In the practical part, by analyzing the application cases of RPA and artificial intelligence in budget management, this paper reveals the actual effect of technology implementation and the challenges it faces, including the complexity of technology implementation, data quality issues, compliance risks, etc. Through data analysis and case study, this paper emphasizes the technical and management problems that enterprises need to solve in the process of promoting the intelligent transformation of budget management.
KEYWORDS
New quality productivity, RPA, artificial intelligence, Budget management, digital transformation, optimization pathCITE THIS PAPER
Haiying Luo, Research on the Application of New Quality Productivity Perspective Empowering RPA and Artificial Intelligence in Budget Management. Accounting and Corporate Management (2025) Vol. 7: 29-38. DOI: http://dx.doi.org/10.23977/acccm.2025.070104.
REFERENCES
[1] Liang Yinhua, Su Yukang, Wang Hao. Artificial intelligence and financial sharing service center: Integration application and innovation value [J]. Frontiers of International Accounting, 2024, 13: 1045.
[2] Li Qingping. Research on the Docking of financial sharing SAP system and business financial system [J]. Management Science and Engineering, 2022, 11: 138.
[3] Cao Wenjuan. Practice and Strategy of corporate financial digital transformation [J]. China Science and Technology Investment, 2024 (8): 33-35.
[4] Ma Jun, Cai Yining, Guo Mingjie. Human resource management reform under the background of digital transformation: an integrated analysis based on TOE framework [J]. Secretary, 2022, 40(4): 73-83.
[5] Yang Jingru, He Qiumei. Financial sharing to help enterprises high-quality development under the background of data intelligence [J]. Frontiers of International Accounting, 2024, 13: 414.
[6] Luo H, Luo H. RPA and Artificial Intelligence in Budget Management Based on Multiperspective Recognition Based on Network Communication Integration[J]. Wireless Communications and Mobile Computing, 2021, 2021(1): 9723379.
[7] Ayinla B S, Atadoga A, Ike C U, et al. The Role Of Robotic Process Automation (Rpa) In Modern Accounting: A Review-Investigating How Automation Tools Are Transforming Traditional Accounting Practices [J]. Engineering Science & Technology Journal, 2024, 5(2): 427-447.
[8] Reba S, Harris III J A. The Key to Better Budgeting and Performance Outcomes is Enterprise Performance Management [J]. The Journal of Government Financial Management, 2021, 69(4): 26-31.
[9] Tang W, Cao H, Ye S, et al. Intelligent Financial Decision Support System Based on RPA Financial Robot and Artificial Intelligence[C]. 2024 International Conference on Power, Electrical Engineering, Electronics and Control, 2024: 943-948.
[10] Flechsig C, Anslinger F, Lasch R. Robotic Process Automation in purchasing and supply management: A multiple case study on potentials, barriers, and implementation[J]. Journal of Purchasing and Supply Management, 2022, 28(1): 100718.
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