Education, Science, Technology, Innovation and Life
Open Access
Sign In

Factors Influencing the Adoption of Big Data Technology in Financial Management: A Case Study of Aiyoupin E-commerce Company in Chongqing Municipality, China

Download as PDF

DOI: 10.23977/accaf.2025.060111 | Downloads: 29 | Views: 288

Author(s)

Meichao Xiang 1, Tachakorn Wongkumchai 2

Affiliation(s)

1 MBA, Faculty of Management Science, Dhonburi Rajabhat University, Bangkok, Thailand
2 Faculty of Management Science, Dhonburi Rajabhat University, Bangkok, Thailand

Corresponding Author

Meichao Xiang

ABSTRACT

This study examines key factors affecting big data technology adoption in financial management through a case study of Chongqing Aiyouping E-commerce. Findings reveal multi-level influences: Technically, challenges include technology complexity and analytical skill requirements; Organizationally, management support, culture, and employee skills prove crucial; Environmentally, policy changes, competition, and customer demands significantly impact adoption. Aiyouping succeeded through tech infrastructure development, talent cultivation, cultural optimization, and policy adaptation, enhancing financial decision-making and risk management. However, persistent challenges include data security, update costs, and talent shortages. The research provides practical insights and theoretical support for big data implementation in financial management.

KEYWORDS

Financial Management; Big Data Technology; Adoption Factors; Aiyouping e-Commerce Company; Technical Complexity

CITE THIS PAPER

Meichao Xiang, Tachakorn Wongkumchai, Factors Influencing the Adoption of Big Data Technology in Financial Management: A Case Study of Aiyoupin E-commerce Company in Chongqing Municipality, China. Accounting, Auditing and Finance (2025) Vol. 6: 76-85. DOI: http://dx.doi.org/10.23977/accaf.2025.060111.

REFERENCES

[1] Shoetan, P. O., Oyewole, A. T., Okoye, C. C., & Ofodile, O. C. (2024). Reviewing the role of big data analytics in financial fraud detection. Finance & Accounting Research Journal, 6(3), 384-394.
[2] Olaiya, O. P., Cynthia, A. C., Usoro, S. O., Obani, O. Q., Nwafor, K. C., & Ajayi, O. O. (2024). The impact of big data analytics on financial risk management. International Journal of Science and Research Archive, 12(2), 821-827.
[3] Goh, B. W., Li, N., & Ranasinghe, T. (2024). Big data analytics and management forecasting behavior. Accounting Horizons, 38(3), 59-76.
[4] Jain, N., & Raman, T. V. (2023). The interplay of perceived risk, perceive benefit and generation cohort in digital finance adoption. EuroMed Journal of Business, 18(3), 359-379.
[5] Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic commerce research and applications, 8(3), 130-141.
[6] Yacob, P., & Peter, D. (2022). Perceived Benefits of sustainable digital technologies adoption in manufacturing SMEs. International Journal of Innovation and Technology Management, 19(04), 2250012.
[7] Begenau, J., Farboodi, M., & Veldkamp, L. (2018). Big data in finance and the growth of large firms. Journal of Monetary Economics, 97, 71-87.
[8] Bhimani, A., & Willcocks, L. (2014). Digitisation,‘Big Data’and the transformation of accounting information. Accounting and business research, 44(4), 469-490.
[9] Awotunde, J. B., Adeniyi, E. A., Ogundokun, R. O., & Ayo, F. E. (2021). Application of big data with fintech in financial services. In Fintech with artificial intelligence, big data, and blockchain (pp. 107-132). Singapore: Springer Singapore.
[10] Mooney, A., Mahoney, M., & Wixom, B. (2008). Achieving top management support in strategic technology initiatives. Howe School Alliance For Technology Management, 12(2), 1-3.
[11] Young, R., & Jordan, E. (2008). Top management support: Mantra or necessity?. International journal of project management, 26(7), 713-725.
[12] Jarvenpaa, S. L., & Ives, B. (1991). Executive involvement and participation in the management of information technology. MIS quarterly, 205-227.
[13] Alharthi, A., Krotov, V., & Bowman, M. (2023). Factors affecting Big Data analytics adoption in small and medium enterprises: Evidence from emerging markets. Information Systems Frontiers, 25(3), 627–644.
[14] Grover, V., Chiang, R. H., Liang, T. P., & Zhang, D. (2018). Creating strategic business value from big data analytics: A research framework. Journal of Management Information Systems, 35(2), 388-423
[15] Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015). How 'big data' can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234-246.
[16] Berrone, P., Gelabert, L., Fosfuri, A., & Gómez-Mejía, L. R. (2007). Can institutional forces create competitive advantage? Empirical examination of environmental innovation. Strategic Management Journal, 28(1), 61–78.
[17] Li, J. C. (2020). Roles of individual perception in technology adoption at organization level: Behavioral model versus toe framework. Journal of System and Management Sciences, 10(3), 97-118.
[18] Meng Qing-Wen. (2017). Competition strategies of financial institutions under the background of big data technology. Chinese Business Theory (26), 2. 

Downloads: 10820
Visits: 136675

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.