Digital Accounting Technology and Accounting Department Efficiency: A Case Study in Ubon Ratchathani
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Abstract
This study aims to explore the application of digital accounting technology to enhance the efficiency of accounting departments in small and medium-sized accounting firms in Ubon Ratchathani. The study focuses on Cloud Accounting Systems and Robotic Process Automation (RPA), which are widely recognized as tools that improve speed, accuracy, and cost reduction in accounting processes. This research employs a quantitative approach, collecting data from 500 participants, comprising 350 accountants and 150 managers, through a structured questionnaire that has been validated for reliability. The findings reveal that the adoption of Cloud Accounting Systems reduces work completion time by 35%, increases data accuracy to 89.1%, and decreases operational costs by 22%. Meanwhile, the integration of RPA with Cloud Accounting Systems further enhances efficiency by reducing work completion time by up to 55%, increasing data accuracy to 96.3%, and lowering costs by 35%. Additionally, employees working in organizations that have implemented these technologies reported a significant increase in job satisfaction, particularly when RPA was utilized to automate repetitive tasks. If organizations intend to use these findings to guide investment decisions in digital accounting technology, it is essential to separately consider the impact of each technology. The results indicate that Cloud Accounting Systems play a crucial role in cost reduction and improving data accuracy, while RPA significantly reduces task completion time and enhances employee satisfaction. This study fills an academic gap by highlighting the impact of digital accounting technologies in a local business context and provides valuable insights for accounting firm managers in making informed investment decisions regarding technology adoption that aligns with their organizational needs.
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บทความที่ได้รับการตีพิมพ์เป็นลิขสิทธิ์ของวารสารการบัญชีและการจัดการ
ข้อความที่ปรากฏในบทความแต่ละเรื่องในวารสารวิชาการเล่มนี้เป็นความคิดเห็นส่วนตัวของผู้เขียนแต่ละท่านไม่เกี่ยวข้องกับมหาวิทยาลัยมหาสารคาม และคณาจารย์ท่านอื่นๆในมหาวิทยาลัยฯ แต่อย่างใด ความรับผิดชอบองค์ประกอบทั้งหมดของบทความแต่ละเรื่องเป็นของผู้เขียนแต่ละท่าน หากมีความผิดพลาดใดๆ ผู้เขียนแต่ละท่านจะรับผิดชอบบทความของตนเองแต่ผู้เดียว
References
Anitha, K. M., & Kumar, D. G. R. (2023). Digital accounting transformation and its impact on financial reporting accuracy. Journal of Accounting and Finance, 45(2), 112–128.
Efuntade, A., & Efuntade, O. (2023). Cloud accounting systems and their role in modern business operations. International Journal of Accounting Innovation, 12(1), 45–60.
Fang, L., Wang, J., & Zhao, Q. (2022). The impact of digital transformation on small and medium-sized accounting firms: A comparative study. Asian Accounting Review, 38(4), 215–234.
Gnatiuk, T., Shkromyda, V., & Shkromyda, N. (2023). Automation in accounting: Challenges and opportunities. European Journal of Accounting Research, 27(3), 98–115.
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213–236.
Ivanov, A. (2023). Artificial intelligence in financial auditing: Trends and challenges. Accounting and Information Systems Journal, 29(1), 87–102.
Langmann, M., & Kokina, J. (2021). Robotic process automation in accounting: Implementation and strategic benefits. Journal of Emerging Technologies in Accounting, 18(2), 56–72.
Li, T. (2023). Big data analytics and cloud accounting: A synergy for financial efficiency. Finance and Accounting Review, 19(4), 132–148.
Marwal, R. (2020). Integrating RPA with accounting systems: A case study approach. International Journal of Business Technology, 15(3), 78–92.
Medvedskaya, T., & Pereverova, I. (2023). Digital transformation of accounting practices: A global perspective. Accounting Research Journal, 31(5), 256–273.
Medvedskaya, T., & Raenko, A. (2023). The evolution of digital accounting: From manual records to AI-driven solutions. Journal of Financial Management and Accounting, 42(2), 145–162.
Mohammed, K., & Salem, A. A. (2023). Employee satisfaction and digital accounting adoption: A study in SMEs. Small Business Accounting Review, 23(1), 87–99.
Nikita, P., & Parashar, R. (2023). Cybersecurity in cloud accounting: Risks and mitigation strategies. Information Security and Accounting Journal, 14(3), 121–136.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Omar, H. (2023). Technological innovations in accounting: Adoption and resistance factors. Journal of Accounting and Information Science, 20(2), 64–81.
Platov, A. V., Novichkova, I. A., & Khoreeva, N. K. (2023). The role of automation in financial auditing: Implications for accounting professionals. Journal of Accounting Technology, 26(4), 58–74.
Rahim, M., Wang, T., & Liu, X. (2023). Cloud computing and AI in accounting: A framework for digital transformation. Journal of Digital Finance, 11(2), 99–118.
Rogers, E. M. (1995). Diffusion of innovations (4th ed.). Free Press.
Yang, X. (2023). Blockchain and its impact on financial transparency in accounting. Global Accounting Review, 30(3), 175–192.
Zhang, Y., Li, H., & Chen, R. (2022). The integration of robotic process automation in accounting: A systematic review. Journal of Intelligent Accounting Systems, 17(2), 47–63.