Probe - Accounting, Auditing and Taxation

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Article Processing Charges (APCs)

US$800

Publication Frequency

Quarterly

ISSN

2661-393X(Online)

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Published

2024-12-31

Issue

Vol 6 No 4 (2024): Published

Section

Articles

How to Cite

Ye, A., & Chen, W. (2024). Artificial intelligence in performance management: Enhancing accounting decision support. Probe - Accounting, Auditing and Taxation, 6(4). https://doi.org/10.59429/paat.v6i4.8395
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Artificial intelligence in performance management: Enhancing accounting decision support

Anqi Ye

Sun yat-sen university, Guangdong University of Foreign Studies

Wenyong Chen

Sun yat-sen university, Guangdong University of Foreign Studies


DOI: https://doi.org/10.59429/paat.v6i4.8395


Keywords: Artificial intelligence (AI); Performance management; Decision support; Accounting management


Abstract

In a fast-moving business environment, companies face challenges and opportunities in decision support and performance management. Artificial intelligence (AI), as a disruptive technology, is gradually changing traditional work models and decision-making processes, especially in the field of accounting and financial management. The application of AI improves the efficiency of data processing and the accuracy of decision-making, helping companies monitor performance indicators in real time, analyze historical data and predict future trends.Despite the huge potential of AI in performance management, many organizations still face challenges in implementation, such as data privacy and security issues, and insufficient employee skills. This study explores the specific application of AI in performance management, analyzes its impact on accounting decision support, and proposes possible challenges and countermeasures. It is hoped that it will provide useful suggestions for companies in the process of transformation and help them achieve sustainable development in the competitive market. With the advancement of AI technology, its application in the field of performance management will have even broader prospects.


References

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