THE APPLICATION OF DIGITAL IMAGING TECHNOLOGY IN THE UNIVERSITY FINANCIAL REIMBURSEMENT PROCESS: A CASE STUDY OF UNIVERSITY N

Authors

  • Tian Shen (Corresponding Author) Academy of Film and Television, Nanchong Film Industry Vocational Academy, Nanchong 637000, Sichuan, China.
  • XiaoYing Liao Vice President, Nanchong Film Industry Vocational Academy, Nanchong 637000, Sichuan, China.
  • JiaJia Zhu Academy of Film and Television, Nanchong Film Industry Vocational Academy, Nanchong 637000, Sichuan, China.
  • Ting Pu Finance Department, Nanchong Film Industry Vocational Academy, Nanchong 637000, Sichuan, China.
  • KeWei Liu Academy of Film and Television, Nanchong Film Industry Vocational Academy, Nanchong 637000, Sichuan, China.

Keywords:

Digital imaging, Financial reimbursement, Newly established private universities

Abstract

Faculty members and students at many newly established universities often find the reimbursement process confusing, and repeated errors end up slowing down the entire procedure. Drawing on the actual situation at University N, this study looks closely at where its financial reimbursement system falls short and proposes a set of concrete measures to improve it, in the hope of offering a workable reference for the digital transformation of reimbursement work at similar institutions. The core idea is to use AI video generation tools to produce short demonstration clips of the reimbursement workflow, and to examine whether artificial intelligence and digital imaging technologies can make university reimbursement more intuitive, more carefully managed, and more intelligent. The findings indicate that these technologies do help: they raise reimbursement efficiency, bring down operating costs, and strengthen the control of compliance risks.

References

[1] Liu X. Feasibility considerations on introducing imaging technology into university online reimbursement. Economist, 2018(10): 210-211.

[2] Wu T. Application and practice of financial reimbursement process reengineering in universities under the digital and intelligent background—A case study of University J. Finance and Economics, 2024(25): 147-149.

[3] Du Q, Wen Y. Research on the transformation of university financial reimbursement in the era of artificial intelligence. Economist, 2018(12): 115-117+119.

[4] Ding Y. Logic of knowledge system reconstruction and path of capability improvement for university financial personnel in the AI era—A case study of University A. Accountant, 2026(6): 78-80.

[5] Mao C, Ye J. Reflections on the transformation of university finance in the new era. Friends of Accounting, 2020(18): 99-103.

[6] Zhang Y. Research on optimization strategies for university financial reimbursement in the AI era. Finance and Economics, 2026(10): 133-135.

[7] Yang X, Chen W. Exploration of the Path to Intelligent Financial Construction in Universities in the Digital Era J. Research on Education Finance and Accounting, 2022, 33(4): 51-55+61.

[8] Gao W. Analysis of Optimization Paths for Financial Reimbursement Work in Universities in the Era of Artificial Intelligence J . Chinese Agricultural Accounting, 2024, 34(2): 33-35.

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Published

2026-10-17

How to Cite

Tian Shen, XiaoYing Liao, JiaJia Zhu, Ting Pu, KeWei Liu. The Application Of Digital Imaging Technology In The University Financial Reimbursement Process: A Case Study Of University N. Trends in Social Sciences and Humanities Research. 2026, 4(8): 1-5. DOI: https://doi.org/10.61784/tsshr3268.